#Alternatives for Amazon Scraping

[scrapingintelligence]

Top 10 Alternatives for Amazon Scraping You Should Consider

Amazon is a very popular online shopping platform that operates globally. Amazon has a wide range of products available to buy from millions of sellers worldwide. This very popular eCommerce platform is an excellent source for getting data insights to uplift the business. Amazon provides valuable data related to product details, prices, reviews, offers, product specifications, and more.

Businesses looking to collect valuable eCommerce data can utilize alternative platforms providing the same information as Amazon without facing many hurdles and technical difficulties. This article will discuss the top 10 alternative platforms to extract required eCommerce data effectively.

Top 10 Alternatives for Amazon Scraping

Getting data from Amazon is difficult as available details are dynamic, pagination functionality, terms and conditions to get data, and a change of platform structure can be hurdles. Moreover, Amazon uses anti-data scraping policies and CAPTCHAs, which can add more difficulties in collecting data from this giant platform. The top 10 alternatives for Amazon data scraping are described below:

Walmart Scraping

Walmart is one of the biggest eCommerce retailers across the globe. Having millions of products and thousands of sellers available on the platform attracts a great number of buyers. Walmart is counted as one of Amazon's main competitors because of its various product categories, including groceries, electronics, home goods, clothing, and more.

eBay Scraping

eBay is an eCommerce platform that allows individuals and businesses to buy and sell new or old items across the globe. This platform has a great range of categories covering electronics, automobiles, fashion, accessories, collectibles, households, and more. This platform works on an auction-style basis along with offerings with fixed prices. eBay is a very popular platform with enormous product data and a significant user base.

Target Scraping

Another alternative source to Amazon is Target, a USA-based retailer platform that provides various products. Target is very popular amongst buyers as it offers attractive deals for the product range covering groceries, clothing, electronics, home goods, and more.

Etsy Scraping

An online marketplace functions at the global level. Etsy specifically sells goods related to handmade stuff, vintage things, and unique products. You can find a great range of categories related to home decor, clothing, jewelry, and art. Etsy is the first choice of the buyers who are looking for the unique and personalized items.

Best Buy Scraping

Best Buy, another popular online retailer platform which can be used as an alternative of Amazon for data acquisition. This platform is majorly functioning in consumer electronics, providing products such as smartphones, computers, TVs, and home appliances. Best Buy is the perfect place for tech enthusiasts and buyers looking for great electronic deals.

Shopify Store Scraping

Shopify is the platform where businesses can create and run their online stores to sell their products. Thousands of small and medium brands use Shopify to sell their products directly to customers.

Flipkart Scraping

Flipkart, one of the largest eCommerce platforms, presents a great range of products within multiple categories, such as electronics, fashion, home goods, and groceries. Flipkart is very popular in India andis taken as the strongest competitor of Amazon.

AliExpress Scraping

It’s a part of the Alibaba group, having the majority of sellers from China, functioning worldwide to connect consumers and sellers directly. This platform is very popular for buying products at low cost. This platform covers various categories, including electronics, fashion, and home goods.

Newegg Scraping

Newegg is one of the leading online retailers that provides goods related to computer hardware, electronic gadgets, gaming consoles, and accessories. This platform is getting popular day by day between tech and game enthusiasts.

Home Depot Scraping

Home Depot is one of the biggest brands to buy home improvement products in the USA. Home Depot specializes in DIY products, construction materials, appliances, and services like home repair. Along with the physical stores, they also have an online marketplace offering millions of products to buy.

Use Cases for Alternative Scraping

There are various use cases of alternative scraping which provide high solutions to fulfill the specific business. It ensures compliance, data accuracy, and efficiency while offering a variety of benefits to achieve market growth.

Pricing Strategy Development

Getting data related to product pricing from alternate ecommerce platforms helps to build an effective pricing strategy for your buyers. Real-time pricing data allows to track and monitor competitor price changes over the time and helps to adjust your product prices in a quick manner. Moreover, tracking and monitoring discounts, offers, flash sales help to build and deliver promotional offers to your customers.

Competitor Analysis

Data extraction from various ecommerce platforms helps gather competitors' data from multiple data sources. This data provides insights on how competitor products perform on other platforms, what prices they keep on a varied marketplace, how they attract customers, and what strategies they implement for different platforms. With this data, businesses can build effective marketing and product selling strategies for every marketplace and gain maximum benefits in product selling and revenue earning.

Market Trend Analysis

Alternative data scraping can collect and analyze large volumes of data from multiple sources to seamlessly identify market trends and shifts in a specific segment. With real-time market analysis, businesses can gather data on competitors' pricing, product launches, and promotions to understand market positioning. It also helps in customer sentiment analysis, determining emerging trends and keyword popularity to stay ahead by making data-driven decisions.

Product Availability

Alternative web scraping can help track product availability on e-commerce platforms, brand websites, and online marketplaces. Businesses can also monitor inventory to ensure timely restocking of the products.

Conclusion

Scraping large amounts of ecommerce data provides valuable data insights into product and market trends, pricing and competitor strategies. Scraping Amazon data helps brands know how their products perform, identify competitor strategies, reveal consumer sentiments, build effective marketing strategies, and more. With accurate analysis and proper utilization, E-commerce companies can set competitive prices, know the latest market trends, optimize products, introduce new products, find new business opportunities, etc.

Resource: https://www.websitescraper.com/top-10-alternatives-for-amazon-scraping.php

[lou-wilham]

Just a quick note from your friendly neighborhood bookworm/indie author

if you use kindle for the majority of your library, they will be shutting down the function that allows you to download your files and transfer them via USB on the 26th of February. Which doesn't sound like a huge deal, but this also means that if a book is taken off Amazon for any reason—like it being banned—they can scrape it off your kindle as well. So maybe backup your library?

Edit: as an indie author I feel like I should make a small note that this is not an excuse to say “fuck Amazon I’ll just pirate my books”. Please don’t do that. No one’s reaction so far has been that but I’m begging you not to react that way. That doesn’t hurt Amazon it hurts authors.

Some alternatives are

- check and see if the author sells their books on other marketplaces. Hint: any not enlisted on Ku are probably wide

- check your library. If they’re not at your library request them.

- if all else fails, reach out to the author. I have 100% hunted down a way for my book to be available to a reader that couldn’t access it for whatever reason. And I’d do it again.

Just for the love of 🧀 don’t pirate them.

[neighbourscat]

𝐐𝐔𝐈𝐄𝐓 𝐄𝐒𝐂𝐀𝐏𝐄 , spencer cassadine

EVERYONE HAS A QUIET ESCAPE.

𓈒  ˙ ꪆৎ   ꣹  ۫  𖨂 𝐏𝐑𝐄𝐒𝐄𝐍𝐓𝐈𝐍𝐆 . .. . estate owner!spencer c. X estate chef!black!fem!reader. || second person ( you, yours, you’re ) + lowercase intended.

+ synopsis. making breakfast was your way of reaching out, of letting him know, wordlessly, that he wasn’t alone. it wasn’t about the food itself but about giving him a moment of comfort, a pause from everything weighing on him .. a quiet escape.

+ cw. mature language! & indications of social status difference between spencer cassadine and black!reader. || other than that, no warnings! ( a lot of italics! & sorry if my writing of spencer cassadine is poor and inaccurate, i haven’t watched general hospital enough. the storylines are so confusing to follow /: )

+ nali’s notes; food is a love language! reader is heavily inspired by ayo edebiri || sydney adamu from the bear! reader is three flowers tall! so gen-z, so hilariously awkward, so silly, so dorky, so sweetie & so patient with cranky spencer cassadine. such a doll! reader loves sza & chappell roan & beabadoobee! i love writing a reader who rambles a lot. wordcount :: 4.0k+

+ more; short does not follow any specific plotline of general hospital!

+ to be played: normal girl, sza. || alternative: there she goes, the la’s.

EVERYONE HAS A QUIET ESCAPE.

LAWRENCE, NEW YORK || DECEMBER 4, 2023

the king’s market stood at the very edge of lawrence; a small town within a big city .. . where the paint peeled off old brick buildings, and faded signs creaked in the december wind. yet, despite its weathered exterior, the supermarket was lawrence’s unexpected gem ( as was shawnda’s boutique, toni’s kitchen, minnie’s nails, the sullivan community college, that dunkin’ on mccarter road, brunch box, and express deli ) — a place that managed to thrive against all odds. its large windows glowed warmly under flickering neon lights, as if the store itself were proud of what it held inside.

you skid to a harsh stop — your brother’s old navy blue bicycle croaked with each pedal, it practically begged to be thrown into a junkyard — and immediately lose balance. you caught yourself before the tumble could come; the bottoms of your ragged, black vans scraping at the concrete and your thumbs accidentally brushing against the bike’s bells . .. . the scratchy ringgg alerted the cluster of pigeons, causing them to flap away, and made the mother pushing her big-enough-to-walk-on-his-own toddler side-eye you.

“mornin’ . ..” you raised a shy hand in apology, leaning your brother’s aged bike against king’s dried bike rack. you snatched up your bundle of reusable tote bags from the screwed-on basket and dug into the jumble for the bicycle’s lock; the new one ordered from amazon. “o .. kayyyy,” you sung to yourself, wrapping the chain link over a rack pole. hearing it click and seeing that it remained in place, you let out a deep breath .. relieved.

king’s market is quiet, but it’s a comforting quiet, broken only by the hum of old refrigeration units and the faint rustle of a distant shopper. sunlight filtered through the small, high windows, casting a soft glow over the shelves and illuminating specks of dust floating lazily through the air — king’s market was different from what was expected. though the aisles were narrow and the checkered linoleum tiles were cracked and crumbled and lifting out of place, each row and shelf was organized perfectly.

a faint scent of earth and herbs drifted from the produce section, where vegetables sat stacked in bright, fresh columns. local greens glistened with a crispness that rivaled any high-end market over in port charles ( you believed ), their colors vivid against the worn wooden bins. tomatoes were perfectly ripe, their skins taut and glowing, and bunches of parsley and dill leaned together like old friends, filling the air with a sharp, green fragrance.

in the far back, there was a small bakery nook filled with golden loaves, round bagels, fluffy croissants, beautifully-decorated cupcakes and soft cookies made with old-fashioned love, managed by antonella cardenas. beside it, a mini flower-shop section . .. . you’ve made it your business to circle by during your early morning grocery-runs.

you ripped the bud from your ear and let the wire hang down your front, dangling and brushing against the puff of your dark-green winter jacket. “tev?” you gave the worktop a knock, not too loud but hard enough to be heard throughout the mini-kitchen. tevin’s butcher counter was simple but spotless, manned by an old man who knew every cut by heart, arranging steaks and chops with the precision of an artist.

“tee-tee?!” still, nothing or no one came to you — you knew the mini-kitchen was open. the lights were on and the faucet was running. “i’ve got some .. fucked-up, jacked-up, cracked-up shit to tell you, tev.” you were careful with your curses, not giving them their regular intensity and over-exaggeration. “tevi?! it’s work shit!” crickets. that usually worked. you stopped knocking on the cold counter and dropped back onto your heels. “i know you can hear me, tevin,” spoken under your breath and while you were unraveling your wired-headphones.

and you started onward . .. realizing that it might’ve been a good thing tevin wright hadn’t come out to the register. you weren’t the best at lying on the spot. you had a little tell of it; while for many, it was laughing or evasive smiling or rapid blinking or coughing and clearing their throat, avoiding eye contact; like looking up at the ceiling, or those self-soothing gestures or being too fidgety with their fingers and clothing, you overused defensive phrases: like “honestly,” “to tell you the truth,” or “believe me”.

with sza’s ‘sweet november’ playing faintly in your ears .. you stand in the center of a narrow, softly lit aisle; shelves of hand-drawn packaging designs, others in plain jars that let the rich red or green hues of their contents do the talking. your hands hovered over two jars — one labeled locally-made marinara, the other a small-batch pesto. your fingers grazed the cool glass of both as you considered them, your full brows knit in thought. it’s just .. fucking pasta sauce, you could hear your mother’s grating voice. pick up a jar and go.

you lifted one jar, squinting at the label, as though weighing the memories each flavor might stir up. a faint smile tugged at your lips as you remembered how your father would make a whole affair out of selecting ingredients, debating over spices and sauces as if it were a high-stakes decision. are you kidding me? this is ridiculous. you are just like your father. half-insult.

you set it back down, you reached for the other choice, your gaze thoughtful as you further debated which would give your evening dish that extra something — sza’s song of past experiences fading into chappell roan’s love me anyway — you set that jar back into place and grabbed the third option. the one with the hand-drawn design. it was cute and you made a mental note to peel the wrapping off before use.

PORT CHARLES, NEW YORK || DECEMBER 4, 2023

the kitchen of the cassadine estate was a masterpiece of traditional russian design, combining rustic elegance with a sense of historic charm. the kitchen was a vast, open space dominated by an enormous central island, topped with dark, veined marble that has been polished to a mirror-like finish. cabinets of deep, rich wood line the walls, their surfaces gleaming under the sparkle of hanging iron chandeliers with exposed filament bulbs that cast a golden light over everything.

every detail exuded craftsmanship: the hand-carved moldings, the wrought-iron handles on each cabinet, and the aged brass fixtures that gave the room a touch of vintage grandeur. pots and pans of shined copper hung in neat rows from a ceiling rack, their warm glow offset by the cool, tiled walls in muted creams and grays, which add a subtle neatness.

a massive stone hearth sat against one wall, its archway adorned with intricate, hand-laid tiles. within, a wood-fired oven emitted a faint, smoky scent. to the side, a marble-topped counter held a selection of oils and aged vinegars kept in glass jars, each label handwritten in russian script.

large windows near the farmhouse sink overlooked the estate’s gardens, letting in natural light that poured across the butcher-block counters and casted shadows on the tiled floor. this floor — worn but immaculate — was ice cold underneath your soaking wet polka-dot socks. in one hand, your pair of vans ( fiona mccall, the estate’s lead-housekeeper, and her team were stern and meticulous in ensuring that the grand halls, ballrooms, libraries, staircases, and more importantly, the floors remained pristine ), your phone with the letterboxd app still open and dropped into a shoe, in the other hand; your grocery tote-bag you were to keep in the employee mini-fridge.

you faked a bad cough, in attempt to fake clear your throat — “sorry, goodmorning .. mr. cassadine.” — still, you grabbed his attention. spencer cassadine stood at the central island with his elbows resting on the chilled surface, his head lowered, lost in thought. the weight of family expectations pressed heavily on him, and the stillness around him offered a brief moment of respite .. before hearing your voice, of course.

your presence filled the room with a sense of . .. . play and awkwardness. spencer studied you: your winter jacket over a simple, faded-once-graphic t-shirt, wrinkled mom jeans, hints of gold jewellery, your box-braids loosely tied back with baby pink crochet yarn, giving you that .. ‘relaxed’ look, he guessed you were going for. it wasn’t effortless, it was messy. spencer’s gaze switched to your shoeless feet .. as did your own eyes — you took one large step to the left and landed behind a counter, only letting your upper half show.

“fiona-ms. mccall, i mean,” you began, your shoulders tense and your arms cramping from the hanging shoes and bags of groceries, “and those-sorry, your floors, sir. she’s serious ‘bout ‘em, that one. i mean, her team too. they’re like .. so serious about th’ floors .. i had’ta walk around in my socks-“ you stopped before continuing on. seeing him stand there with that signature blank, cold look on his face only shut you up ( you opted not to speak on how you dropped your dunkin’ coffee on the way here ) and drove sickness deeper into your heart.

you looked away from a moment, taking a shaky breath. “i should, uhm ..” you faced him again, “sorry, mr. cassadine .. my arms are, like, getting ready to snap off. like, actually.”

spencer watched you waddle off into the shared-employee closet. he straightened a bit, his fists carefully drumming at the marble surface as he waited for your return — though, he wouldn’t admit to anyone that he had been ‘waiting’ for you. after a moment, he took a step aside and tilted his head slightly, giving himself a clear view into the employee closet; with its array of lockable, highschool-style cell phone lockers . .. . you were shoving your winter jacket into the available top shelf, struggling on your tip-toes.

when you landed on your heels again, spencer took his previous position; leaning against the central island — “so, um . ..? sorry, but why are you back here, anyways?” you called out, but gave spencer not even a second to process the question. you peeked your head out of the employee closet, braids no longer tied back but cascading over your shoulder. “sorry, this is your family’s kitchen. you have, uhm .. every right to be back here. sorry.” you disappeared into the employees’ closet again, leaving spencer to be alone and to .. somewhat try and understand you.

“you apologize a lot?” he asked, his voice steady and even. not a question, but more so a statement.

dropping your hands from your braided bun, you moved away from the wall mirror and out of the closet saying: “trauma response,” unapologetic and freely, fixing your white button-up and fresh apron, “i can’t help but feel bad for a person literally every-time i-“

“what?” a deep grumble. too forward. he’s not one of your friends, you reminded yourself. you can’t speak to him like he’s on your level — rather, like you’re on his level. “sorry, mr. cassadine.” again with the sorry.

spencer huffed and in a low tone, “you can stop with the ‘mister’.” not a request, but an instruction. unsure of what to say next, in bad habit; “i’m sorry?” his eyes narrowed and you bit down on your lower lip, stopping yourself from the ‘m’ word and the ‘s’ word. “i actually get asked about that .. like, a lot. the ‘s’ word, thing. i’m kind of working on it. kind of.”

“kind of?”

“mhm-yeah. takin’ it day by day . .. . kind of. you know what i mean?” no comment, no further movement. your shoulders drooped, but you were okay. you were in an okay mood this early, december morning even after dropping your dunkin’ coffee. you had on new, warm socks and had beabadoobee in one ear — “you still use ..” with a hand, spencer gestured toward his own ear, “wires?”

you stared down at your phone, the adapter snug in the charging port; ‘pictures of us’ by beabadoobee at its first full minute. the slander on ‘wired headphones’ was so unnecessary and so childish. without thinking: “i’m sorry?” you paused a moment to recollect and what looked to be a smile began tugging at spencer’s lips. “i mean-who doesn’t? .. who doesn’t like wires?”

“many people.”

a weird chuckle, “what? literally so many people like wires. i don’t-? what is so wrong with wires?”

“what isn’t wrong with wires?”

“i don’know? that’s why i’m asking you ‘what’s wrong with wires’?

“everything.” and that was that. spencer had the last word, though you disagreed completely. silence fell for eight seconds, maybe nine, before he asked; “what are you, uh ..?” shoving his veiny hands into the front pockets of his dark jeans, “who are you listenin’ to, anyways?”

“beabadoobee.” you paused the song. “her beatopia album. it’s so good, seriously.” a part of you considered sharing the unused earbud, but that would require closeness and sharing wired headphones was an intimate gesture, a chance to bond with another — that couldn’t be done with airpods or those chunky beat headphones. “i’ll come over to you-you just stay there.”

spencer met you halfway around the marble island, going against your statement without a second thought. the gap between you and spencer was intentional, on both ends. he kept himself from standing too close, as did you. “okay, so, if bea’s not your cup of tea, or, uhm, you don’t like her sound or somethin’ .. justttt, uh, don’t say anything-y’know?” spencer listened intently, hands at his sides and the soft skin of his fingers rubbing the stitches of his dark jeans. “sorry, that wasn’t exactly ‘polite’-“

“play the song.”

“mhm. yeah.” your index finger tapped down on the rewind button .. pictures of us started, the acoustic guitar entrance soothing and inviting — “the words take awhile to, um . .. actually begin, sor-nope.” spencer smiled faintly at your effort, giving a light thumbs up. you appreciated the gesture, warmth slowly growing within your chest, causing you to chew the inside of your cheek.

with the pad of your thumb, you dragged at the progress bar, watching the thin line skip forward in small jumps, stopping at the right mark. you let your finger rest, satisfied as bea’s lyrics finally filled the air.

“i’ve watched that.” right under the music widget had been a notification from letterboxd: w-katie02 liked your review of the elephant man ( 1980 )! “it’s one of my favorites,” he continued, almost hesitant. “yeah?” a little, genuine smile as your fingers brushed the edge of your phone. “yeah.” spencer ended there, seemingly restricted; as if he’d just given something away he hadn’t meant to.

“do you have letterboxd?” just the most important app on your cellular device. well, one of them, certainly. by the glint in your eyes, spencer could feel the unmistakable love you held — because for you, it was so much more than just a platform; it was like a never-ending journal of emotions, insights, and memories. your perfect profile was filled with entries — some thoughtful and delicate and passionate, others scattered and messy and raw, like snapshots of your silly life in film. you’d spent many hours logging your thoughts after each movie, capturing how it made you feel, who you’d watched it with, what kind of day it had been . .. . you never missed a detail.

“what’s a .. letterboxd?” you unlocked your phone in under a second — “it’s like goodreads, but for movies,” you said as you clicked the app open. spencer, though confused and having never heard of goodreads, kept his lips locked and waited for your explanation: “letterboxd is immediate, like no other platform.” you held out your phone and he took hold of it; mindful of the need to avoid physical contact.

“social media in a way that’s like-“ spencer’s finger swiped up and you inched inward, lifting onto your tip-toes to watch as he did so. “-ultra safe and super cuddly. there’s no politics, close-minded straight men, or mentions of global crises, the sad stuff essentially, y’know? .. well, okay, actually-i guess, if you’re on the wrong side-“

“there are sides?”

“so, it’s . .. . yeah.”

“mm.” — pictures of us faded into don’t get the deal — your gaze shifted between his working finger and his face. you didn’t know what he’d been doing exactly, but you paid attention to how his eyes zipped side to side under his eyelids and how his brows lightly scrunched and how he sniffled softly every now and again and how his tongue darted out to bring moisture back to his lips. and in this very moment, this quiet moment of, what you assumed was nothing, he looked . .. . approachable. it surprised you how easily he fit into this small moment, his attention focused on something so trivial.

spencer cassadine — extra polished, effortlessly confident, someone who belonged to a world you’d only ever seen from a distance — handling your phone as though you and him were two equals. the four fingers of his right hand nearly covering every collected sticker.

to you, he really was someone you had heard about in passing, the kind of person with a surname people spoke of in hushed tones, heavy with history. he seemed so different up close, less like a distant idea of wealth and reputation, and more like just .. a person, with his own subtle quirks and quiet intensity — it felt like a rare glimpse beyond his guarded expression, easing the image you’d carried of him.

you tried not to overthink it, letting yourself just be here, grounded by the purr of the kitchen and beabadoobee in the background and the heat of his presence . .. .

then came a muffled ping; spencer returned your phone and retrieved his own from his back pocket. that dry, somber demeanor was back and whatever that quiet moment was, was long gone. you clicked off beabadoobee — your eyes searching his face for a hint of what could have been troubling him. “can i make you something?” a sweet offer. a sweetness that spencer cassadine had not known, or been at all familiar with.

he blinked up from his screen. “what?”

“have you eaten breakfast yet?”

spencer shook his head.

“food always helps.” just as you pivot and circled the counter, he spoke: “i’ve already taken too much of your free time. i’ve interrupted your routine,” clearly trying to brush off your sweet offer, though his stomach growled in response to the idea of food.

“it’s fine.”

“i can’t let you ..”

“seriously?” you stopped in your tracks, barely smiling. “come on, seriously. c’mon. i can prepare somethin’ quickly. i don’t mind, really,” you reassured. and spencer felt a flicker of thankfulness at your inclination; you weren’t offering to impress him or because he was who he was, but out of the kindness of your heart. “thank you.”

with a nod, you moved to the large refrigerator, opening the door with purpose. you pulled out a few eggs and some vegetables, your movements deliberate and calm. the rhythmic sounds of your chopping and sautéing completed the kitchen.

as you worked, spencer was leaned over the counter .. having just downloaded letterboxd and putting together his own movie lists. he found your account, remembering the username in the top left corner, and added a few of your saved movies to his new “to watch” list. “how long have you been cooking for?”

“mom put a knife in my hand at five, so i’d say since then,” you replied, glancing up briefly and laughing seeing the concerned look on his face — you weren’t joking. “it’s therapeutic,” you said then, eyes down again. “i find real comfort in it-a quiet escape, like my letterboxd. plus, feeding people is a nice way to show you care.”

your words struck a chord with him. he could see how the kitchen was your sanctuary, just as it had become a momentary refuge for him. “i can understand that,” he admitted, his gaze wandering to the window, where the light falling snow touched down and melted. “i’ll find my ‘quiet escape’.”

“you don’t have one now?”

“unh-unh.”

“that should be impossible. what do you look for when you need a moment?”

“i walk around and sit in silence.”

“that sounds awful.”

“it’s not the worse thing ever.”

“no, i guess not. but what do you love to do? like really, truly love to do-imagine, ‘kay, it’s your very last hour alive .. ‘nd you’re trapped in a dome with only th’ materials needed for your number one hobby, what is it?”

spencer’s mind went blank for a few seconds. he didn’t write, he didn’t read, he couldn’t draw, he couldn’t paint — “i like the gym.”

“okay .. cool.” you smiled and scratched at an eyebrow, “um, but seriously. what’s the hobby?”

“.. nothing.”

“-shit.”

“yeah.” a hopeless shrug. “i never got into an art or instrument. nothing that requires serious skill and talent.” spencer turned off his phone and held his hands together, fingers interlocking.

“well . .. a hobby doesn’t have ‘ta require serious skill or talent. and it doesn’t necessarily have ‘ta be an art.” you told him, matter-of-factly; knowing and practical. “like bird-watching. don’t have’ta be in your sixties to do it.” dropping your spoon onto a paper towel, you went for one of the five spice cabinets and dug inside. “i collect cool things.” you were a collector of very fine whatchamacallits, doo-dads, and trinkets; which ranged from mail stamps, pink paper clips, buttons of all shapes and colors and sizes, unique beer bottle caps, and stickers — your junk-sticker phone case is evidence.

“what-like rocks?”

“sometimes. marbles too.”

“marbles?”

“marbles.” firmly, “mancala pieces.”

“what’s a mancala piece?”

“y’know ..? mancala?”

“what’s mancala?”

“what’s mancala?” in disbelief, you released a defeated sigh and shook your head. “i have a mobile version, i can explain the game after this.” you stretched your arm over and with a knuckle, tapped down on your phone screen; you had little over an hour left. “jus’ta confirm, i will be explaining the game.”

no objection.

“but back to hobbies-“ spencer heard your voice and instantly flipped his phone back over. “-what’s an instrument you’ve wanted to play?” piano, there was no need to think about it. the first time spencer had heard a piano, the melody was soft and almost a whisper, beckoning him away from the clamor of the gala crowd. he drifted toward the sound, drawn in as if by a spell —

— he saw the grand piano in the corner of the room, its sleek black body gleaming under the warm lights. a man was seated there, his fingers gliding over the keys with such fluid grace that spencer could hardly believe it . .. . and in that moment, he felt an overwhelming urge .. not just to listen, but to touch the keys, to know how it felt to draw out a sound so moving and pure. but he was only a child, and the instrument seemed impossibly large, as if it belonged to another world.

and years passed .. life had filled up with other obligations and distractions, and the closest he’d come to a piano was brushing his fingers over the keys of one owned by a close friend or at another sprawling event. but every now and then, when he heard the low throb of a piano in a restaurant or wherever, he felt that same pull, that longing that had begun in the corner of a crowded room so many years before, waiting patiently for him to return.

“piano,” he answered. though he had no idea what happiness looked like for him, he was sure that starting with piano would make that discovery easier — he was so incredibly detached from himself and the more you spoke to him, you could tell.

“i know you can learn,” you said, kindly.

“i don’t have the time.”

“not even five minutes? you can download an app and start slow .. memorize piano stuff.”

“you have a piano app?”

“no, but i can find one for you.” his dark eyes brightened imperceptibly. “i bet there’s a lot. there’s an app for everything .. unfortunately .. kind of.” you mumbled the last bit, plating his breakfast with care. “.. here. simple, but it’ll help.”

in grabbing himself clean silverware — for the first time, he felt the possibility of letting someone in, even if just a little.

[sirfrogsworth]

Froggie's (Almost) Very Productive Day 2: Electric Boogaloo

So, the plan was to have my one productive day and then rest for however long the consequences of post exertional malaise decide they want to take.

But I needed to bring the working key fob back to the tire place so they could calibrate the tire pressure sensors. So, the day after my day, I napped until about 4pm and summoned the last bit of energy I had to finish this task.

After they fixed the sensors, I looked out over a beautiful sunset in the Discount Tire parking lot.

It's weird the places you find beauty sometimes.

I was about a mile away from my family's favorite pizza place. We've been going there since I was a tadpole. So I decided to grab a pizza as my Thanksgiving meal.

I didn't realize that the day before Thanksgiving would be just about the busiest night of the year. And they have the world's worst parking lot, half of which is a steep hill, and they didn't have enough spaces.

Google Maps has flattened the appearance of the hill. That thing is nearly a 40 degree angle. If anyone with a sports car wants a pizza, they are going to scrape their paint trying to get it.

So, I tried to park around back. Unfortunately someone was exiting the back parking lot and there is only one lane.

So... I backed up... into a pole.

I was going extremely slow and I barely tapped it. But I still felt pretty stupid. Thankfully no scratches or dents.

I finally find parking and head inside.

The Italian kitsch is always a "welcome" sight.

Every time I look it takes me like 10 seconds to figure out the configuration of his face. I find it is best to look at the mustache first, and then orient yourself from there.

I head to the counter and she asks for my name, assuming I am picking up a phone order. I explained I was just "dropping in" and then she gave me an "oof" face. The wait was nearly two hours. I told her I could get a few things from the grocery store and return for my pizza. She charges my card and I hop back in my car. Just as I was about to exit the parking lot of doom, a customer from Angelo's starts yelling at me.

"You forgot your card!"

Clearly my brain fog is starting to get to me. I left my damn bank card on the counter. So I have to exit the parking lot, drive into another parking lot, turn around, and then park again. I retrieved my card and headed to Nice Schnucks.

The GPS took me on a wild journey to the NS. I've lived in this area for 40 years and I had no idea some of these roads existed. I'm sure it was 3 minutes faster or whatever, but I think I would have preferred a route with streetlights. Unlit streets give me a bit of anxiety. Especially if I don't know them.

I get to NS and realize I was about to have the same problem I did at the pizza place. It was the night before Thanksgiving and the entire neighborhood was scrambling to get food for the next day.

I filled up on soups, frozen pizzas, and I got a few more bottles of my beloved soda. There is a Shirley Temple flavor I have yet to try. (Update: A rare Fitz's fail. Tasted like cough medicine.) And then I headed to the madness of the self-checkout.

I managed to kill about an hour, but my legs were getting wobbly. I really shouldn't have gone back out this soon. And I probably should have just headed home after the car was fixed. But I feared if I didn't do *something* special for Thanksgiving I would probably have a difficult time being all alone.

I head back to Angelo's. This time I was able to park in front and avoid hitting any poles.

The pizza was cooking and needed another 15 minutes. So I sat at a table and worked on finishing writing my to-do list for my trip to Florida. I was trying to tell Amazon that, yes, I do want a tiny bottle of shampoo to comply with the TSA security theater. But, no, I do not want 8 tiny shampoos.

Oh, did you know they charge you a "9/11 tax" when you buy a plane ticket?

Spirit Airlines has a pretty funny alternative name for it...

"After 9/11, the U.S. implemented the “9/11 Security Tax”, which was a fee of $2.50 each way of a trip on top of the price of a plane ticket. In 2014, the 9/11 Security Tax was increased to $5.60 each way. So, for a round trip this fee would cost $11.20"

We are literally still paying for 9/11. And there is no evidence the enhanced security does much of anything.

So we pay this tax so they can force us to buy tiny shampoo and go through scanners that have to detect and blur our genitals so the TSA agent can't see.

Anyway... I finally get my pizza and head home. When I pulled into my driveway I noticed a bright moon in the sky. It looked so massive compared to other nights, so I tried to capture a moon selfie.

As a photographer, I should have realized that a wide angle lens is not going to capture how big the moon looked in the sky that night. Wide lenses exaggerate distance. So things close to the lens look huge and things far away look tiny. That's why we look like aliens if we hold our smartphones too close to our face. To the lens on your camera, the distance from the tip of your nose to your ears is quite vast. Which meens a celestial body that is 240,000 miles away looks like a tiny dot in the picture.

I still kept trying.

That could be a moon I guess.

Umm, Froggie... you got some moon in your hair.

Later I did try to capture the moon with my DSLR and an 80mm lens, but I guess the moon is just really far away or something.

ENHANCE!

A.I. upscaling reveals it is, in fact, the moon.

I ate my pizza and did a quick tire test and photoshoot.

And then I spent way too long Photoshopping this X-wing flying into my deep-as-heck tire tread.

And that was my day after the day.

Today, which is currently Thanksgiving, I slept.

I slept all night.

I slept most of the day.

I still want to sleep.

Weirdly, I am too tired to feel lonely. Though now that I wrote that, I am thinking about my parents being gone, so I just screwed that up.

But hey... at least my pizza was tasty.

[sluttylittlewaste]

Also! For the people who can't organize in person for whatever reason (PLEASE DO IF YOU CAN):

1. Find out who owns the companies you give money to and find out if they donate to Republican causes/Conservative causes - if so, it's time to cut them off. Start considering alternatives, and reach out via phone call to inquire about their company values. Keep track of what you learn and share with others.

2. Cancel your Amazon account - do it. It is time to relearn how to wait a week or two for shipping. Try to purchase things in person from local retailers when you can. If even 3% of the US population boycotts these megacompanies their profits will take a hit.

3. On a similar note, take the USPS option when ordering an item for shipping. It may take longer, but USPS is a federally funded entity that has been scraped to it's barest bones. They cannot accept direct donations, so doing business with them is the next best thing

4. DON'T DELETE YOUR SOCIAL MEDIA. DO NOT LET THE FAR RIGHT COLONIZE ONLINE SPACES AND FORCE US EVEN FURTHER APART. Argue peacefully if you must, and do not fall into name-calling or bullying. Say your peace, share your sources, move on. Instagram/X/Threads/BlueSky/Tumblr are treasure troves of art and community engagement. Flood those spaces with positivity. Good news, art, music, recipes, flood right wing platforms with positive, non political media.

5. Read up. Read about Fascism. Read about resistance. Read about human empathy and deprogramming. Read about revolution. Read about survival. You will be tempted to fall into a spiral of dread - do not fall for it. It's not over yet.

Finally, most importantly: Don't assume someone else is doing it already. One of the reasons the progressive movements keep failing is because people keep assuming that the work is being done elsewhere. Conservatives are organized. The rollout of Project 2025 is going exactly to plan.

Focus.

[actowizsolutions0]

Scrape Product Info, Images & Brand Data from E-commerce | Actowiz

Introduction

In today’s data-driven world, e-commerce product data scraping is a game-changer for businesses looking to stay competitive. Whether you're tracking prices, analyzing trends, or launching a comparison engine, access to clean and structured product data is essential. This article explores how Actowiz Solutions helps businesses scrape product information, images, and brand details from e-commerce websites with precision, scalability, and compliance.

Why Scraping E-commerce Product Data Matters

E-commerce platforms like Amazon, Walmart, Flipkart, and eBay host millions of products. For retailers, manufacturers, market analysts, and entrepreneurs, having access to this massive product data offers several advantages:

- Price Monitoring: Track competitors’ prices and adjust your pricing strategy in real-time.

- Product Intelligence: Gain insights into product listings, specs, availability, and user reviews.

- Brand Visibility: Analyze how different brands are performing across marketplaces.

- Trend Forecasting: Identify emerging products and customer preferences early.

- Catalog Management: Automate and update your own product listings with accurate data.

With Actowiz Solutions’ eCommerce data scraping services, companies can harness these insights at scale, enabling smarter decision-making across departments.

What Product Data Can Be Scraped?

When scraping an e-commerce website, here are the common data fields that can be extracted:

✅ Product Information

Product name/title

Description

Category hierarchy

Product specifications

SKU/Item ID

Price (Original/Discounted)

Availability/Stock status

Ratings & reviews

✅ Product Images

Thumbnail URLs

High-resolution images

Zoom-in versions

Alternate views or angle shots

✅ Brand Details

Brand name

Brand logo (if available)

Brand-specific product pages

Brand popularity metrics (ratings, number of listings)

By extracting this data from platforms like Amazon, Walmart, Target, Flipkart, Shopee, AliExpress, and more, Actowiz Solutions helps clients optimize product strategy and boost performance.

Challenges of Scraping E-commerce Sites

While the idea of gathering product data sounds simple, it presents several technical challenges:

Dynamic Content: Many e-commerce platforms load content using JavaScript or AJAX.

Anti-bot Mechanisms: Rate-limiting, captchas, IP blocking, and login requirements are common.

Frequent Layout Changes: E-commerce sites frequently update their front-end structure.

Pagination & Infinite Scroll: Handling product listings across pages requires precise navigation.

Image Extraction: Downloading, renaming, and storing image files efficiently can be resource-intensive.

To overcome these challenges, Actowiz Solutions utilizes advanced scraping infrastructure and intelligent algorithms to ensure high accuracy and efficiency.

Step-by-Step: How Actowiz Solutions Scrapes E-commerce Product Data

Let’s walk through the process that Actowiz Solutions follows to scrape and deliver clean, structured, and actionable e-commerce data:

1. Define Requirements

The first step involves understanding the client’s specific data needs:

Target websites

Product categories

Required data fields

Update frequency (daily, weekly, real-time)

Preferred data delivery formats (CSV, JSON, API)

2. Website Analysis & Strategy Design

Our technical team audits the website’s structure, dynamic loading patterns, pagination system, and anti-bot defenses to design a customized scraping strategy.

3. Crawler Development

We create dedicated web crawlers or bots using tools like Python, Scrapy, Playwright, or Puppeteer to extract product listings, details, and associated metadata.

4. Image Scraping & Storage

Our bots download product images, assign them appropriate filenames (using SKU or product title), and store them in cloud storage like AWS S3 or GDrive. Image URLs can also be returned in the dataset.

5. Brand Attribution

Products are mapped to brand names by parsing brand tags, logos, and using NLP-based classification. This helps clients build brand-level dashboards.

6. Data Cleansing & Validation

We apply validation rules, deduplication, and anomaly detection to ensure only accurate and up-to-date data is delivered.

7. Data Delivery

Data can be delivered via:

REST APIs

S3 buckets or FTP

Google Sheets/Excel

Dashboard integration

All data is made ready for ingestion into CRMs, ERPs, or BI tools.

Supported E-Commerce Platforms

Actowiz Solutions supports product data scraping from a wide range of international and regional e-commerce websites, including:

Amazon

Walmart

Target

eBay

AliExpress

Flipkart

BigCommerce

Magento

Rakuten

Etsy

Lazada

Wayfair

JD.com

Shopify-powered sites

Whether you're focused on electronics, fashion, grocery, automotive, or home décor, Actowiz can help you extract relevant product and brand data with precision.

Use Cases: How Businesses Use Scraped Product Data

Retailers

Compare prices across platforms to remain competitive and win the buy-box.

🧾 Price Aggregators

Fuel price comparison engines with fresh, accurate product listings.

📈 Market Analysts

Study trends across product categories and brands.

🎯 Brands

Monitor third-party sellers, counterfeit listings, or unauthorized resellers.

🛒 E-commerce Startups

Build initial catalogs quickly by extracting competitor data.

📦 Inventory Managers

Sync product stock and images with supplier portals.

Actowiz Solutions tailors the scraping strategy according to the use case and delivers the highest ROI on data investment.

Benefits of Choosing Actowiz Solutions

✅ Scalable Infrastructure

Scrape millions of products across multiple websites simultaneously.

✅ IP Rotation & Anti-Bot Handling

Bypass captchas, rate-limiting, and geolocation barriers with smart proxies and user-agent rotation.

✅ Near Real-Time Updates

Get fresh data updated daily or in real-time via APIs.

✅ Customization & Flexibility

Select your data points, target pages, and preferred delivery formats.

✅ Compliance-First Approach

We follow strict guidelines and ensure scraping methods respect site policies and data usage norms.

Security and Legal Considerations

Actowiz Solutions emphasizes ethical scraping practices and ensures compliance with data protection laws such as GDPR, CCPA, and local regulations. Additionally:

Only publicly available data is extracted.

No login-restricted or paywalled content is accessed without consent.

Clients are guided on proper usage and legal responsibility for the scraped data.

Frequently Asked Questions

❓ Can I scrape product images in high resolution?

Yes. Actowiz Solutions can extract multiple image formats, including zoomable HD product images and thumbnails.

❓ How frequently can data be updated?

Depending on the platform, we support real-time, hourly, daily, or weekly updates.

❓ Can I scrape multiple marketplaces at once?

Absolutely. We can design multi-site crawlers that collect and consolidate product data across platforms.

❓ Is scraped data compatible with Shopify or WooCommerce?

Yes, we can deliver plug-and-play formats for Shopify, Magento, WooCommerce, and more.

❓ What if a website structure changes?

We monitor site changes proactively and update crawlers to ensure uninterrupted data flow.

Final Thoughts

Scraping product data from e-commerce websites unlocks a new layer of market intelligence that fuels decision-making, automation, and competitive strategy. Whether it’s tracking competitor pricing, enriching your product catalog, or analyzing brand visibility — the possibilities are endless.

Actowiz Solutions brings deep expertise, powerful infrastructure, and a client-centric approach to help businesses extract product info, images, and brand data from e-commerce platforms effortlessly. Learn More

[neuromycelic-blog]

AI could be a transformative tool for empowering workers' movements and advancing labor rights, particularly if deployed with intentionality, transparency, and democratic control. Below is a strategic framework for how AI could be leveraged to support a workers' revolution, grounded in real-world applications and ethical principles:

---

### **1. Democratizing Knowledge and Education**

- **AI-Powered Labor Education Platforms**:

Use generative AI (e.g., chatbots, interactive courses) to educate workers about their rights, unionization strategies, and labor laws. For example:

- **Union chatbots** (e.g., [WorkIt](https://www.workitapp.org/)) could answer questions about workplace rights in multiple languages.

- **Personalized training tools** could simulate negotiations with employers or teach strike tactics.

- **Countering Corporate Propaganda**:

AI-driven platforms could debunk anti-union messaging by analyzing employer communications and generating fact-based rebuttals (e.g., exposing wage theft via data scraping).

---

### **2. Organizing and Mobilization**

- **Algorithmic Solidarity Networks**:

AI could map workplaces with high exploitation risks (e.g., low wages, safety violations) and identify ideal targets for union drives. For instance:

- Tools like **[Strike Wave](https://labornotes.org/)** (hypothetical) could predict which industries are ripe for collective action using labor market data.

- **Decentralized communication apps** (e.g., Signal with AI moderation) could securely coordinate strikes across borders.

- **Worker-Owned Social Media**:

AI-driven platforms (e.g., a worker-run alternative to LinkedIn) could connect gig workers, freelancers, and employees to share resources and bypass corporate-controlled networks.

---

### **3. Workplace Monitoring and Accountability**

- **AI Surveillance for Workers, Not Bosses**:

- **Wage theft detection**: Algorithms could analyze pay stubs and hours worked to flag discrepancies (e.g., [Coworker.org](https://www.coworker.org/)).

- **Safety compliance**: Wearable AI sensors could monitor hazardous conditions (e.g., excessive heat, toxic fumes) and automatically report violations to regulators.

- **Whistleblower Protection**:

AI tools could anonymize worker testimony about abuses and securely leak data to journalists or labor boards.

---

### **4. Collective Bargaining and Negotiation**

- **AI Negotiation Assistants**:

- **Contract analysis**: Tools like [ContractAI](https://www.littler.com/) (hypothetical) could compare union demands with industry standards and flag loopholes in employer proposals.

- **Real-time sentiment analysis**: During negotiations, AI could interpret employer body language or speech patterns to detect dishonesty.

- **Global Solidarity Algorithms**:

AI could link labor struggles across supply chains (e.g., connecting Amazon warehouse workers in the U.S. to factory workers in Bangladesh) to coordinate transnational strikes.

---

### **5. Worker-Owned AI Cooperatives**

- **Decentralized Labor Platforms**:

Worker cooperatives could use AI to compete with corporate gig platforms (e.g., Uber, DoorDash). For example:

- **Driver-owned ride-sharing apps** with AI dispatch systems that prioritize fair pay over shareholder profit.

- **Algorithmic profit-sharing**: Transparent AI could ensure equitable revenue distribution in cooperatives.

- **Open-Source Tools for Labor**:

Develop worker-controlled AI tools for tasks like scheduling, resource allocation, and democratic decision-making (e.g., [Loomio](https://www.loomio.org/) with AI facilitation).

---

### **6. Disrupting Exploitative Systems**

- **AI for Universal Basic Services**:

Advocate for publicly owned AI infrastructure (e.g., healthcare, housing, transit) to reduce dependency on exploitative jobs.

- **Sabotaging Corporate AI**:

Ethical hackers could develop AI tools to disrupt automated union-busting systems (e.g., flooding HR surveillance software with false data).

---

### **7. Addressing Intersectional Inequality**

- **Bias Audits for Hiring/Firing**:

AI could expose discriminatory practices in layoffs, promotions, or wage gaps (e.g., [MIT’s Algorithmic Justice League](https://www.ajl.org/)).

- **Language Justice**:

Real-time translation AI could unite multilingual workforces and dismantle barriers to collective action.

---

### **Risks and Ethical Considerations**

- **Corporate Co-optation**: Capitalist firms may weaponize AI against workers (e.g., union-busting algorithms, predictive policing of organizers).

- **Surveillance Backlash**: Employers could retaliate against workers using AI tools.

- **Over-reliance on Technology**: Labor movements must remain human-centric, with AI as a tool—not a replacement for grassroots organizing.

---

### **Real-World Examples**

- **[Cooperation Jackson](https://cooperationjackson.org/)**: A Mississippi-based cooperative using open-source tech to build worker-owned enterprises.

- **[Turkopticon](https://turkopticon.ucsd.edu/)**: A tool that lets gig workers rate exploitative employers.

- **[Fairwork](https://fair.work/)**: Rates gig platforms on labor standards using AI-driven data collection.

---

### **Conclusion**

For AI to empower a workers' revolution, it must be **decentralized, transparent, and governed by labor itself**. This requires:

- **Worker-led AI development**: Unions and cooperatives should build tools, not corporations.

- **Strong data sovereignty**: Protect worker data from corporate capture.

- **Global solidarity**: Open-source AI models that serve the working class worldwide.

As historian Ruth Milkman notes, *"Technology is not neutral—it reflects the power structures that build it."* A workers' revolution must seize AI to dismantle exploitation, not entrench it.

---

Would you like to dive deeper into specific strategies or examples?

[zamanahmed]

Zerowork Lifetime Deal: Automate repetitive browser activity

Zerowork Lifetime Deal: Automate repetitive browser activity

Do you want to save time and energy by automating boring, repetitive tasks on your computer? If yes, then you're in luck! With the Zerowork Lifetime Deal: Automate Repetitive Browser Activity, you can automate many tasks without knowing how to code.

What Can You Do With Zerowork?

ZeroWork is a powerful tool that helps you automate a lot of different things on the internet. Here are some of the cool things you can do:

Scrape Data

Google Maps

Instagram Followers

Facebook Group Members

Amazon Products

YouTube Video Content

LinkedIn Profiles

With ZeroWork, you can even scrape files and images. It also helps you remove duplicates automatically and add tags to every collected item. You can monitor your data daily, hourly, or even every 5 minutes. Plus, you can save your data to a CSV file, Google Sheets, or native tables. It even bypasses anti-scraping systems!

More Review Check Link

Enrich Data

Enrich lists of LinkedIn, Facebook, Instagram, TikTok, or Twitter profile links with details like location, job title, email, profile description, company title, and latest post

Extract pieces of data, like getting the city or state from an address

Limit the number of links visited per run, hour, or day to avoid getting banned

Auto-skip visiting the same links on subsequent runs

Add a snooze feature to auto-pause or do a random action after visiting a certain number of links

Transform Data

Auto-filter data to qualify leads based on location, job title, and keywords

Auto-delete old data after a certain period or based on conditions

Auto-transfer data between sheets, for example, move leads from the "All leads" sheet to the "Qualified leads" based on conditions

Split text, remove words, and shorten content

Easily add conditions and comparisons

Beginner-friendly with advanced Regex capabilities for pro users

Automate Web Interactions

Auto-post AI-generated comments

Auto-send DMs

Auto-like social media posts

Auto-fill out forms

Auto-post on WordPress

Add AI to craft unique or personalized content

Limit the number of DMs, likes, and actions per run, hour, or day to avoid getting banned

Add auto-generated random variations to your content to avoid being marked as spam

Auto-delay after every action to appear more human-like

In-built anti-bot detection prevention

Effortlessly Use Ai

Schedule AI-generated social media posts

Auto-download and upload AI-generated images

Auto-reply with AI to incoming messages

Add AI at any step of your automation

Native ChatGPT integration

Works with other AI services like image creation apps

ZeroWork Appsumo Lifetime Deal Only $79

Why Choose ZeroWork?

ZeroWork offers many benefits that make it stand out from other automation tools. Here are some reasons why you should consider using it:

Automate ANY website: ZeroWork allows you to automate tasks on any website, making it very versatile.

Add AI at any step: You can enhance your automation processes with AI at any step, making your tasks smarter and more efficient.

Never get banned: With in-built anti-bot detection prevention, you can be sure that your accounts remain safe.

Easy to use: ZeroWork features a visual drag-and-drop interface, so you don't need to know how to code.

Generous features: Unlimited runtime, API calls, and webhooks. You can schedule tasks as frequently as every 5 minutes.

Multiple accounts: Automate tasks for multiple accounts with fingerprint obfuscation and proxy support.

Custom scripting: When needed, you can write custom JavaScript or make API calls to other services.

Caring support: ZeroWork has a helpful support team, an active community, and frequent releases.

Who Benefits the Most from ZeroWork?

ZeroWork is perfect for:

Freelancers

Marketing agencies

Web design agencies

It is also a great alternative to tools like UiPath.

Integrations and Features

ZeroWork integrates with:

API

Google Sheets

Webhooks

It is also GDPR-compliant, ensuring your data remains secure and private.

Frequently Asked Questions

What Is Zerowork?

ZeroWork is a tool to automate repetitive browser tasks without coding.

How Does Zerowork Automate Tasks?

ZeroWork uses visual drag-and-drop to automate tasks like data scraping and social media management.

Can Zerowork Scrape Data?

Yes, ZeroWork can scrape data from Google Maps, Instagram, LinkedIn, and more.

Does Zerowork Support Ai Integration?

Yes, ZeroWork integrates with ChatGPT and other AI services for enhanced automation.

Conclusion

In summary, the Zerowork Lifetime Deal: Automate Repetitive Browser Activity is a fantastic tool for anyone looking to save time and make their work more efficient. Whether you're a freelancer, a marketing agency, or a web design agency, ZeroWork offers a wide range of features that can help you automate and streamline your tasks. With its user-friendly interface and powerful capabilities, ZeroWork is a must-have tool for anyone looking to improve their productivity.

Ready to start automating? Get your Zerowork Lifetime Deal: Automate Repetitive Browser Activity today!

[the-most-adorkable-smile]

AI is being touted as a "you'll never need a real artist again!" money saving tool for companies, and the AI industry is pushing for exceptions to be made to allow them access to creative works at large, so that they don't have to pay to access data to train their machines. This is the key issue - that your work is an asset they need, but don't want to pay for.

GenAI is a tool that requires training on art that is already created, and lawmakers are only just catching up to the fact that there isn't exactly a precedent for this use of creative work under current copyright law. I have my own issues with copyright (life of the artist plus what? 75 years? Serves only to put money in the pocket of companies who actually own the copyright, rather than the artist who made it) BUT if we're talking independent creatives, it's also the only recourse they have to ensure they can continue to earn money from their art, whether that's writing, illustration, movie-making, whatever.

I'm sure you've heard about the UK's proposed plans to allow AI companies to scrape UK creatives' work, providing only the option of an opt-out if you discover your work has been scraped, and likely only after it's already been shipped out for industry use. This plan received widespread pushback from the creative industries: the Writers Guild of Great Britain, Independent Society of Musicians, Motion Picture Association, and thousands of British creatives condemned the move, demanding existing copyright law be respected and enforced rather than degraded.

For industry creatives who are salaried and working for companies, the use of AI for, for example, colour correction, is understandable - it saves time, it can prevent costly reshoots in the movie sector, and it streamlines the process for professional illustrators and animators.

But we're not just seeing AI used to bolster existing jobs and workflows: Companies on Amazon are churning out slop ebooks, some claiming to be instructional which are full of dangerous misinformation. Coca-Cola put out a widely derided AI-made ad last Christmas, and the Labour Party in the UK tried to sell itself on Tiktok with an AI generated video which received a lot of criticism and made them the butt of many jokes.

The reason we're seeing such pushback against it is because it is threatening those industry jobs, it's threatening the livelihoods of independent artists, it's being pushed and spun as an alternative to hiring human creators by the AI industry, and it's being marketed that way to the corporations who would otherwise be hiring people to fulfill that work: publishing companies who can be persuaded that an AI book cover is as good as a man-made one, that it's okay if whole paragraphs or whole chapters of books are AI-generated. Their goal is to make it so the industry heavyweights will eventually feel like it's fine to outsource whole books to AI which, as I've noted, we're already seeing happen on Amazon with ebook slop.

We're not the target audience for AI. The CFO's and CEO's, creative industry number-crunchers, everyone looking to squeeze more profit from their tightening margins amid economic uncertainty, are: they'll see this as a way out of keeping artists on-staff, and if AI is allowed to continue using creatives' works without at least paying artists for the privilege, it'll push that state of affairs all the quicker.

What do you mean by "in-group signalling" in that post?

I'm referring to the way a lot of people seem to treat "unconditional hatred for Generative AI" as a signifier by which someone reaffirms their belonging or allegiance to the category of Artist (imagined as a special category of people wholly separate from the category of Non-Artist) based on the conception that the only reason why someone might not hate GenAI (or might hate it but think some criticisms of it are unprincipled) is because they 1) aren't an Artist themselves, and thus 2) they either don't understand what being an Artist is like or they categorically hate and oppose Artists.

To name a concrete example:

Just a couple weeks ago I got an anon message pretty much along the lines of "I get it, you don't have a creative bone in your body and have to pretend that art theft is fine because you're incapable of creating art yourself" (despite pretty clear evidence of me being an Artist™, such as the fact that at the moment that anon was sent to me, you could scroll down like two posts on my blog and find me showing off how some of my music was featured in a doom metal compilation album).

This anon was sent in response to me saying that, while I have problems with the GenAI industry, I think "it's art theft" is not one of them because (by virtue of being a copyright abolitionist) I think describing any situation where a copy of something is made without affecting the original as "theft" is patently ridiculous. Like, that's a pretty clear example of how performing enough unconditional hatred of AI art is treated as a signifier of belonging to the Artist™ in-group, and failure to perform it is treated as a sign that you can only possibly be a ignorant and/or malicious Non-Artist.

[productdatascrape28]

What Impact Does Implementing the Six Pillars of Digital Shelf Success Have on CPG Sales?

The digital shelf has emerged as a pivotal battleground for consumer packaged goods (CPG) companies in the rapidly evolving retail landscape. By 2024, digital retailing is undeniable, with a projected 60% of consumers transitioning to online grocery shopping by 2025. Concurrently, the CPG industry witnesses a surge in adopting cutting-edge retail technology and AI. Predictions suggest that 45% of CPG firms will integrate advanced technological solutions into their workflows by 2024, with expectations of doubling by 2025, highlighting rapid digital transformation. This shift underscores the critical role of e-commerce data scraping and the digital shelf in capturing valuable CPG data, which is pivotal for CPG eCommerce success. The blog delves into strategies, best practices, challenges, and the role of analytics in retail strategy in 2024.

Navigating the Digital Shelf: Choosing the Right Path for CPGs

In the ever-expanding digital retail landscape, achieving visibility on the digital shelf has become paramount for consumer packaged goods (CPG) brands. Selecting the appropriate eCommerce channels is now crucial for sustained growth.

According to a 2024 consumer buying behavior report, Google Search initiates 65% of shopper journeys, closely followed by Amazon. These platforms are vital for CPG brand sellers, illustrating the significance of the Digital Shelf. Additionally, brand websites kickstart over 10% of shopper journeys. Direct-to-consumer (DTC) sales are projected to surpass $167.55 billion in 2024, with Walmart leading in grocery eCommerce over Amazon. Instacart, boasting a vast network spanning 750 million products from 85,000 stores, presents a significant player. With its expansive reach and introduction of Kroger Marketplace, Kroger offers substantial opportunities for food and beverage brands. Walgreens and CVS draw a sizable digital audience in the drugstore category. These brands exemplify the diverse digital shelf ecosystem, illustrating the myriad opportunities and challenges for CPG brands in the digital realm.

CPG brands can leverage grocery data scraping services to capitalize on these opportunities, gather valuable insights, and optimize their digital shelf presence.

6 Strategies for CPG Success in the Digital Shelf Era

As online shopping becomes increasingly prevalent, mastering the digital shelf is paramount for consumer packaged goods (CPG) brands aiming to thrive in today's competitive landscape. Private-label brands pose formidable competition to established CPG products, constituting a significant portion of grocery sales, especially in regions like Europe. Moreover, emerging digital-first startups present new challenges to traditional retailers, emphasizing the need for a robust digital strategy.

In this context, the ability to scrape CPG data is critical to a successful digital strategy. By gathering insights from various sources, including competitor pricing, consumer preferences, and market trends, brands can make informed decisions to optimize their digital shelf presence. Whether monitoring competitor pricing, analyzing consumer behavior, or identifying emerging market trends, scraping CPG data provides brands with valuable insights to stay competitive and adapt to evolving consumer demands.

Elevating Product Content Optimization

With countless alternatives available to consumers, securing top rankings on eCommerce platforms is essential. Most shoppers limit their searches to the first page of results, with a significant portion favoring organic listings. Crafting compelling, SEO-optimized product listings is crucial for enhancing visibility and attracting potential customers. Incorporating trending keywords naturally and optimizing for platform-specific algorithms are vital strategies for outperforming competitors.

Ensuring Accuracy In Product Labels And Descriptions

Accurate and comprehensive product information is foundational to a successful digital shelf strategy. Only accurate or complete product details can lead to shopper satisfaction and cart abandonment. Providing detailed descriptions, high-resolution images, and immersive content like AR views enhances the consumer experience, ultimately driving conversions and fostering brand loyalty.

Prioritizing Mobile-Friendly Experiences

With significant online shopping occurring on mobile devices, brands must prioritize mobile optimization. Responsive design, fast loading times, and intuitive navigation are essential for delivering a seamless shopping experience across devices. Embracing a mobile-first approach and integrating digital and physical shopping journeys can enhance customer engagement and conversion rates.

Harnessing The Power Of Customer Feedback

Customer reviews and ratings are crucial in influencing purchasing decisions and building trust among shoppers. Integrating customer feedback into product pages enhances credibility and provides valuable insights for product improvement. Actively engaging with customer reviews demonstrates a commitment to customer satisfaction and strengthens brand reputation.

Implementing Dynamic Pricing Strategies

Effective pricing strategies are essential for maintaining competitiveness on the digital shelf. Brands must strike a balance between remaining competitive and preserving profitability. Data-driven pricing strategies, informed by sales data and competitor analysis, enable brands to adjust pricing in real time to capitalize on market opportunities and maximize profitability.

Competitor price monitoring plays a pivotal role in this process, allowing brands to stay informed about market pricing trends. By continuously monitoring competitor prices, brands can identify pricing gaps, react promptly to changes in the competitive landscape, and make strategic pricing decisions to maintain their competitive edge. This proactive approach ensures that brands adjust their pricing strategies effectively to meet market demands and achieve their business objectives.

Leveraging Advanced Analytics for Informed Decision-Making

Data-driven insights are fundamental to optimizing digital shelf performance. By analyzing consumer behavior, sales trends, and competitive landscapes, brands can make informed decisions to enhance their digital presence. Adopting advanced analytics tools empowers brands to refine content effectively, target demographics, and build a resilient retail strategy for long-term success.

By implementing these strategies, CPG brands can effectively navigate the digital shelf landscape, enhance visibility, and drive sales in an increasingly competitive online marketplace.

Conclusion: Implementing the six pillars of digital shelf success impacts CPG sales, driving notable improvements in visibility, user experience, and product presentation. By strategically leveraging these pillars, brands can enhance their presence in the digital marketplace, attracting more consumers and boosting conversion rates. Optimized visibility, seamless user experience, and compelling product presentation create a conducive environment for sales growth. Moreover, this approach fosters greater customer satisfaction and loyalty, reinforcing brand reputation and long-term success. Ultimately, implementing these pillars proves instrumental in maximizing CPG sales performance in the competitive landscape of the digital shelf.

At Product Data Scrape, ethical principles are central to our operations. Whether it's Competitor Price Monitoring or Mobile App Data Scraping, transparency and integrity define our approach. With offices spanning multiple locations, we offer customized solutions, striving to surpass client expectations and foster success in data analytics.

[scrapingintelligence]

Top 7 Bright Data Alternatives for Amazon Scraping

Scraping Amazon data requires updated tools, resources, and expertise, as the dataset changes every second. People face challenges in picking the right option as they have various choices with pros and cons.

The critical question is: What is the end goal of investing in Amazon data scraping? Start by defining whether you prioritize speed, accuracy, costs, advancements, filters, or custom solutions to meet your requirements.

In this content piece, we aim to clarify your doubts about everything from the need for Amazon scraping to how to pick the right solution based on specific criteria.

Why Do You Need Amazon Scraping?

Amazon scraping is the process used to collect publicly available information from multiple pages using various web scraping strategies and scripts. But what will you do with the obtained data? Let us look at numerous uses of extracted datasets in real-time:

Competitor Analysis

Being part of a dynamic marketplace, keeping track of your competitor's strategies and adjusting your offerings accordingly is essential. This will also help to identify popular products, discounts, offers, and strategies that gain user attention.

Customer Sentiment

Collecting publicly available customer reviews, ratings, and experiences can help you understand their satisfaction, pain points, and interests. Sentiment analysis enables you to focus on brand reputation.

Inventory Monitoring

Sellers can track competitors' inventory levels to determine real-time demands. This helps them avoid overstocking or understocking products, streamline the supply chain, and reduce overhead costs.

Identify Issues

By monitoring the product listings regularly, you can identify unauthorized or counterfeit sellers of your products. It will help them take the necessary actions to handle such situations and secure their brand reputation.

What Is The Best Alternative To Bright Data For Amazon Scraping?

Picking up the right Amazon scraping tool can make or break the deal for your business. Exploring the quality, features, functionalities, and benefits is essential. Here is the list of alternatives that might work for you perfectly:

1. X-Byte

Enterprise Level Expertise

It deals with enterprise-grade solutions that began with a vision to handle web scraping and data analysis. Over the years, it has established its name by delivering custom Amazon scraping solutions to global clients in various industries.

Some unique features are:

Pricing: Competitive Pricing Model

Clients: Serves Fortune 500 Companies & Startups

Support: 24/7 Customer Support

2. Retail Gators

E-commerce Specialization

A trusted provider must help you turn data into actionable insights when using Amazon data scraping services. RetailGators specializes in the e-commerce data scraping industry, assisting companies in monitoring trends, making data-driven decisions, and analyzing data.

Some unique features are:

Pricing: Cost-Effective Solutions

Clients: Leading Ecommerce & Retail Brands

Support: Dedicated Support Team

3. iWeb Scraping

Affordable Scraping Solutions

iWeScraping was established to provide quality and affordable Amazon web scraping services globally. They can handle various industries while keeping their solutions cost-effective for small to medium-level businesses without compromising quality or performance.

Some unique features are:

Pricing: Custom Pricing Models

Clients: Small & Medium Businesses

Automation: Advanced Tools & Scripts

4. 3i Data Scraping

Real-Time Excellence

The firm is dedicated to delivering quality and updated Amazon scraping services for businesses with real-time datasets. Focusing on precision and speed, 3i Data Scraping has become a reliable partner for industries to make data-driven decisions while receiving the best insights based on market trends.

Some unique features are:

Pricing: Flexible Pricing for Small & Large Enterprises

Support: Dedicated team For Smooth Operations

Customization: Offers Custom Data Scraping Plans

5. Scraping Intelligence

Simplified Amazon Scraping

It has a robust Amazon API data scraping tool provides highly customized solutions for businesses needing actionable data. While maintaining accuracy, they help set custom filters to ensure clients receive only the required datasets. Built-in tools for Amazon data scraping to make the process seamless.

Some unique features are:

Pricing: Competitive Pricing Plans

Support: Ease of Accessibility to Support Team

Filters: Advanced Filtering to Refine Datasets

6. Web Screen Scraping

Scalable Amazon Data Extraction

It has built its brand name by delivering highly customized, filter-based, and accurate data extraction solutions. They aim to introduce advanced tools and scripts to streamline and simplify Amazon data extraction.

Some unique features are:

Clients: Multiple Industries & Businesses

Custom Filters: Extract Only Relevant Data

Data Delivery: Receive Data In Multiple Formats

7. ScraperAPI

API-Driven Amazon Scraping

This firm's strength lies in its advanced API, which requires minimal setup and technical knowledge to handle bulk datasets. The company envisions making web scraping quicker, more efficient, and more straightforward for businesses and developers. The ScraperAPI tool eliminates complexities like CAPTCHAs, browser rendering, and proxy management.

Some unique features are:

Pricing: Free Trial & Affordable Pricing Tiers

Clients: Developers, Enterprises, & Startups

Support: 24/7 Technical Support

How To Pick The Right Amazon Scraping Service Providers?

Choosing the right Amazon scraping services ensures you have quality resources, and while having countless options, it is essential to make the right decision. Here are the key elements you must look into:

Accurate Datasets

Ensure your service provider delivers error-free and precise information that will influence your business decisions. A reliable provider will ensure you deal with data that reflects the market condition, customer demands, and competitor analysis.

Scalable Solutions

As your business grows, you might need to extract extensive data to meet market demand and customer expectations. The tools and scraping API should be automated to gather data without any interruptions and add filters if required.

Custom Amazon Scraping

It is essential to seek Amazon data scraping services that allow you to tailor the scraping parameters. Not all businesses will have the exact data requirements, so customization helps extract data as needed, saving time and reducing analysis efforts.

Pricing Models

Evaluate flexible pricing models for your business that charge only for your requirements. Also, if you get free trials, ensure they do not compromise quality and deliver cost-effective solutions as you scale your business.

Real-Time Updates

Start by verifying if the Amazon web scraping service providers deliver data with minimal lag or real-time updates. Professional data scraping services deal with rapid data extraction to ensure you get the latest continuously updated datasets to help you make the right decisions.

Seamless Integration

Choose the services that ease your technical challenges and offer flexible data formats for seamless compatibility with your existing workflows. This will help you optimize your operations and reduce downtime while extracting the right data sets for the business.

Summing It Up!

This content piece explored seven top alternatives to Bright Data for scraping Amazon data in real-time. Each has benefits, features, and key elements for gathering information that aligns with your requirements.

Choosing the right Amazon scraping services is essential for businesses that aim to gain a competitive edge in this dynamic ecommerce industry. A reliable choice ensures access to accurate, scalable, and ideal datasets to handle operational needs seamlessly.

Resource: https://www.websitescraper.com/top-brightdata-alternatives-for-amazon-scraping.php

[foodspark-scraper]

How to Scrape Grocery Delivery Data Using Web Scraping?

The convenience and easy access provided by grocery delivery online platforms have helped people avoid their weekly trips to the nearest grocers and made them buy groceries online. This industry’s revenue is projected to increase by 20% annually from 2021 through 2031. Websites and apps like DoorDash, Amazon Fresh, InstaCart, etc. have witnessed a huge number of orders.

Because of digital technology advancements, better logistics support, and the busiest personal and professional lives of the people, online grocery delivery websites have become very successful. If you want to expand and improve the grocery delivery services or start a new one, web scraping is the solution, which helps you, achieve the business targets.

Why Scrape Grocery Delivery Data?

The aims of all grocery delivery businesses using data scraping services can be diverse. You could target all the accessible data fields, or concentrate on some, which are important for completing particular business objectives. Let’s go through some of them:

• Customer Buying Trends

Because of improved delivery logistics, it has become possible for consumers to order groceries online as well as get them at the doorstep. A user-friendly interface of these popular platforms, variable payment options, as well as extra discounts is powering the growth of the grocery industry. E-commerce alternatives will continue to increase and retailers would be able to know their customers as well as their shopping behavior.

• Better Pricing Strategy

In case, your brand gets listed on any grocery delivery platforms, you should aim for a competitive pricing strategy. Correspondingly, if you have a grocery delivery platform, then the offers and discounts given by other grocery platforms can assist you in improving your marketing tactics.

What to Scrape from Grocery Delivery Websites?

Different data fields could be extracted from grocery delivery websites. The list includes:

Grocer’s or Store’s Name

Address

Geo-Location

Product’s Name

Product’s Description

Product’s Category

Product’s Images

Product’s SKU

Product’s Pricing

Product’s Specifications

Discounted Pricing

Best Offers

Available Services

Customer Ratings & Reviews

When the necessary data gets collected, it gets cleaned with different quality checks performed on it before delivering the data. All these data are given in a well-structured format for providing important insights to the associated businesses.

How Scraped Grocery Delivery Data Can Be Useful for Different Businesses?

Web scraping supermarket data can be useful for every business, which is associated with grocery delivery and selling. As this industry is booming at the moment, this might be a perfect time for any business to take benefits from dependable web scraping solutions like Foodspark to get a competitive advantage.

Let’s take a quick view of how extracted grocery delivery data could be utilized by various businesses.

Online Retailers

As online retailers provide products across various categories, you may also think about adding these grocers to take benefit of this booming segment. As groceries are fundamentals, it can be a great way to increase your sales as well as produce more revenues. In addition, particular grocers having higher brand value might get more customers and that can also assist in improving sales of the other products that you provide.

Grocery Retailers

In case, you already have an offline grocery firm, then you can improve your operations as well as offer customers more online convenience. Before being listed on any well-known grocery delivery website, it could be very useful if you analyze the offerings of the local grocers within your region.

Wholesale Grocery Dealers

In case, you are a wholesale grocery dealer, insights into the popular products amongst the end-users can assist you in improving your offerings. Data scraped from reviews and ratings can offer detailed data about well-known product categories in different localities and regions, allowing you to draw more retailers for bulk products.

Competitor Grocery Platforms

With newer players entering the business frequently, web scraping is a real solution for improving your business strategies. If you want to launch a new grocery platform online or already have one, you can see how important the data extracted from the competitors’ platforms could be. This can offer great insights into the global market, pricing, top sellers, etc. to assist you to get an authority.

Business Expansion

If you are looking to expand your grocery delivery services to a new city or region you would want a detailed overview of the existing grocery delivery services and sellers in the area. You can consider a customized web scraping solution like Foodspark and use location data to help you match your expectations and requirements.

Customized Solutions to Scrape Grocery Delivery Data

The industry of grocery delivery is progressively increasing thanks to factors like easy usage and convenience. Monitoring of grocery delivery data needs a data scraping provider that can constantly collect data as per your schedule. Foodspark provides periodic web scraping solutions that can help you scrape required data points to assist you in getting started. Foodspark can create customized web scraping APIs for apps and websites, which do not have the APIs to assist you in achieving this.

Foodspark can collect publically accessible data from any place on the internet as well as it is amongst the best web scraping services providers in the world. Our pre-built scrapers help smaller businesses, students, as well as analysts, to collect data from all popular sites easily and affordably.

For more details, contact Foodspark or ask for a free quote for all your requirements of scraping grocery delivery data.

[mobileapp14]

How to Extract Amazon Reviews: Navigating Code and No-Code Solutions

How to Extract Amazon Reviews: Navigating Code and No-Code Solutions

Oct 20, 2023

Introduction

In the dynamic landscape of e-commerce, Amazon reviews serve as invaluable sources of insights, influencing purchasing decisions and providing crucial feedback for both consumers and sellers. Extracting this wealth of information can be approached through two distinct avenues: code-based and no-code solutions. In this guide, we embark on a journey to unravel the intricacies of Amazon review extraction, exploring the depths of coding methodologies and user-friendly no-code alternatives.

Code-based solutions involve:

Leveraging programming languages like Python.

Utilizing tools like BeautifulSoup and Scrapy to navigate Amazon's web structure.

Programmatically fetching review data.

We'll delve into the intricacies of these scripts, providing step-by-step instructions to empower those with coding prowess.

For those seeking a more accessible route, no-code solutions offer a compelling alternative. Platforms like Mobile App Scraping provide intuitive interfaces for users with varying technical backgrounds to scrape Amazon reviews effortlessly. We'll navigate through these user-friendly tools, illustrating how anyone, regardless of coding expertise, can extract valuable insights from Amazon's extensive review database.

Whether you're a seasoned coder or a novice seeking simplicity, this guide equips you with the knowledge to extract Amazon reviews effectively, opening the door to a wealth of consumer sentiments and market intelligence.

Understanding The Basics

In e-commerce, scraping Amazon reviews has become a pivotal practice for businesses and consumers. Understanding the significance of this process is crucial for unlocking valuable insights that can shape purchasing decisions and refine product offerings.

Amazon reviews encompass a wealth of information, providing a multifaceted view of customer experiences. Firstly, product feedback serves as a direct line of communication from consumers to sellers, offering insights into the strengths and weaknesses of a product. Positive feedback highlights features that resonate with customers, acting as an endorsement for potential buyers. Conversely, negative feedback pinpoints areas of improvement and potential pain points that need addressing.

Ratings, another critical component of Amazon reviews, distill customer satisfaction into a numerical form. These aggregate scores offer a quick snapshot of a product's overall reception, aiding consumers in making informed choices amid a sea of options.

Beyond the quantitative aspects, customer sentiments expressed in reviews offer qualitative insights. Understanding the emotions and opinions of users provides businesses with a nuanced understanding of their audience, helping them tailor products and services to meet consumer expectations.

Scraping Amazon reviews unveils a treasure trove of information encompassing product performance, user satisfaction, and sentiments — insights instrumental in refining marketing strategies, enhancing product development, and ultimately fostering a symbiotic relationship between sellers and consumers.

Code Approach

Python and BeautifulSoup

Python, coupled with the BeautifulSoup library, forms a robust duo for web scraping, offering a powerful combination for extracting Amazon review data. Here's a step-by-step guide to help you navigate through the process:

Environment Setup

Begin by ensuring Python is installed on your system. You can install BeautifulSoup using pip:pip install beautifulsoup4

Library Installation

Amazon URL Retrieval

Parsing HTML

Utilize BeautifulSoup to parse the HTML content:soup = BeautifulSoup(response.text, 'html.parser')

Locating Review Elements

Inspect the HTML structure of the page to identify the elements containing review data. Use BeautifulSoup's methods to navigate through the document and locate these elements.

Data Extraction

Data Storage

Depending on your needs, store the extracted data in a suitable format, such as a CSV file or a database.

By following these steps, you can harness the power of Python and BeautifulSoup to scrape Amazon reviews efficiently, providing a foundation for insightful analysis and data-driven decision-making.

Scrapy Framework

The Scrapy framework stands out as a sophisticated and advanced option for scraping Amazon reviews, offering a comprehensive toolkit that streamlines the entire process. Unlike simple scripts, Scrapy provides a robust, extensible architecture specifically designed for web crawling and data extraction.

Installation and Project Initialization

Start by installing Scrapy using pip:pip install scrapy

Initiate a Scrapy project with the command:Initiate a Scrapy project with the command:

Spider Creation

Define a spider within the project to specify how to navigate and extract data from Amazon's pages. Scrapy's spider simplifies the process of traversing links, making it highly efficient for scraping multiple pages.

XPath and Selectors

Scrapy utilizes XPath selectors, offering a powerful and flexible way to navigate HTML and XML documents. This enables precise targeting of elements containing Amazon review data.

Item Pipelines

The framework incorporates item pipelines that facilitate the processing and storage of scraped data. Define custom pipelines to handle extracted Amazon review information seamlessly.

Concurrency and Speed

Scrapy is built for performance, employing asynchronous processing to enhance speed. This is particularly beneficial when scraping large volumes of data, such as extensive Amazon review pages.

Middleware and Extensions

Leverage Scrapy's middleware and extensions to implement custom functionalities and address specific challenges during the scraping process. This adaptability makes Scrapy well-suited for complex scraping scenarios.

Built-in Logging and Error Handling

Scrapy comes with built-in logging and error handling mechanisms, providing developers with insights into the scraping process and making it easier to troubleshoot issues.

By utilizing the Scrapy framework, developers can harness a powerful toolset to streamline the extraction of Amazon review data. Its advanced features and flexibility make it particularly effective for large-scale scraping projects, providing a solid foundation for extracting valuable insights from Amazon's diverse and dynamic review ecosystem.

No-Code Approach

Introduction to No-Code Tools

No-code tools have emerged as game-changers in web scraping, offering accessible and user-friendly solutions for individuals and businesses seeking to extract valuable data without coding expertise. One such tool in this paradigm is Mobile App Scraping, which empowers users to effortlessly scrape Amazon reviews and glean meaningful insights, all through an intuitive and code-free interface.

These no-code tools simplify the traditionally complex process of web scraping by replacing lines of code with visual elements and straightforward configurations. With Mobile App Scraping, users can navigate the Amazon review landscape seamlessly without writing a single line of code. The platform typically employs a visual workflow where users can specify the target data elements, define extraction rules, and set parameters with simple drag-and-drop actions.

Their democratizing effect on data extraction makes no-code tools like Mobile App Scraping genuinely revolutionary. Users with diverse backgrounds, including marketers, analysts, and business owners, can harness the power of web scraping without needing intricate coding skills. This democratization ensures that the benefits of Amazon review scraping, including enhanced market insights and competitive analysis, are accessible to a broader audience, fostering a more inclusive and data-driven landscape.

Using Mobile App Scraping

Using Mobile App Scraping for Amazon review scraping is a straightforward process that empowers users to extract valuable insights without delving into complex coding. Follow this walkthrough to navigate through the steps seamlessly:

Setting Up the Workflow

Launch Mobile App Scraping and create a new project.

Choose the target platform (in this case, Amazon) and specify the type of data you want to scrape (Amazon reviews).

Configuring Data Extraction

Enter the Amazon product page URL from which you wish to extract reviews.

Use the visual interface to identify and select the elements containing review data, such as user comments, ratings, and timestamps.

Configure extraction rules by simply dragging and dropping elements onto the workflow canvas.

Handling Pagination (if necessary)

If Amazon reviews span multiple pages, configure pagination settings to ensure the tool navigates through all relevant pages.

Mobile App Scraping typically provides an intuitive way to handle pagination, allowing users to set up automated workflows for seamless data extraction.

Running the Extraction

Execute the workflow to initiate the scraping process.

Observe Mobile App Scraping as it automatically navigates through the specified pages, extracting the defined data elements.

Exporting Results

Once the scraping is complete, export the results in your preferred format, such as CSV or Excel.

Mobile App Scraping often offers straightforward export options, ensuring that the extracted Amazon review data is readily available for further analysis.

By following these steps, users can leverage the power of Mobile App Scraping to efficiently and effortlessly scrape Amazon reviews, gaining actionable insights to inform business strategies and decision-making. The no-code approach ensures accessibility for users with varying technical backgrounds, making the process inclusive and user-friendly.

Best Practices And Ethical Considerations

Best Practices and Ethical Considerations in web scraping are critical to ensure responsible and lawful data extraction. Adhering to ethical standards promotes a positive reputation and helps maintain a fair and open internet ecosystem. Here are key considerations:

Respect Website Terms of Service

Continually review and comply with the terms of service of the website you're scraping, including Amazon. Websites may have specific rules regarding automated access and data extraction.

Avoid Excessive Requests

Implement rate-limiting to avoid overwhelming the target website's servers with too many requests. Excessive requests can lead to server strain and potential service disruptions.

Use Robots.txt

Check for and respect the guidelines outlined in a website's robots.txt file. This file often indicates which parts of the site are off-limits for web crawlers or scrapers.

User-Agent Identification

Identify your scraper through a user-agent string. This allows website administrators to understand the source of the requests and facilitates communication if issues arise.

Data Privacy

Do not scrape sensitive personal information without explicit consent. Respect user privacy by avoiding data extraction that could lead to the identification of individuals.

Abide by Legal Guidelines

Please familiarize yourself with the legal landscape surrounding web scraping, as it can vary by jurisdiction. Some websites explicitly prohibit scraping in their terms of service, while others may have legal precedents protecting their data.

Monitor Changes

Regularly check the target website for any changes in its structure or terms of service. Adjust your scraping practices accordingly to maintain compliance.

Handle Cookies Responsibly

If your scraping involves handling cookies, ensure you comply with applicable data protection laws. Be transparent about cookie usage and offer users the option to opt-out.

Provide Attribution

If applicable, give proper attribution to the source website when using scraped data. This helps maintain transparency and acknowledges the efforts of the original content creators.

Be Mindful of Impact

Avoid scraping data in a way that could negatively impact the performance or functionality of the target website. Responsible scraping should not disrupt the user experience for others.

By adhering to these best practices and ethical considerations, web scrapers can contribute to a responsible and sustainable online environment while still extracting valuable data for legitimate purposes.

Challenges And Solutions

Like any web scraping endeavor, Amazon review scraping comes with its challenges. Addressing these challenges is crucial for a successful and sustainable scraping process. Here are common challenges and solutions:

Dynamic Content

Challenge: Amazon pages often load dynamic content, making capturing all relevant data challenging.

Solution: Use tools or libraries that handle dynamic content, such as Selenium. Simulate user interactions to ensure all elements are loaded before scraping.

CAPTCHA Challenges

Challenge: CAPTCHA mechanisms can hinder automated scraping by requiring human verification.

Solution: Implement tools that can handle CAPTCHAs, or consider using headless browsers with user emulation to bypass CAPTCHA checks.

Anti-Scraping Measures

Challenge: Websites like Amazon may employ anti-scraping measures to detect and block automated bots.

Solution: Rotate IP addresses, use proxies, and employ random delays between requests to mimic human-like behavior and avoid detection.

Changes in Website Structure

Challenge: Amazon frequently updates its website structure, leading to broken scrapers.

Solution: Regularly monitor and update your scraping script to accommodate changes in the website structure. Use version control to track changes over time.

Pagination Handling

Challenge: Amazon reviews are often paginated, making scraping beyond the first page challenging.

Solution: Implement logic to handle pagination. Extract and follow links to subsequent pages systematically to collect a comprehensive dataset.

IP Blocking

Challenge: Amazon may block or limit access from specific IP addresses if it detects scraping activity.

Solution: Use a pool of rotating IP addresses or proxies to prevent IP blocking. Employ IP rotation strategies to avoid raising suspicion.

Legal and Ethical Concerns

Challenge: There are legal and ethical considerations when scraping data from Amazon.

Solution: Adhere to Amazon's terms of service, respect website policies, and ensure compliance with relevant laws. Scraping should be conducted responsibly and ethically.

Handling Large Datasets

Challenge: Scraping many reviews can result in a massive, challenging dataset.

Solution: Implement efficient data storage methods, such as databases, and consider limiting the number of reviews to scrape based on project needs.

Bypassing Rate Limits

Challenge: Websites may have rate limits to prevent abuse, leading to blocked access.

Solution: Implement a rate-limiting strategy to ensure your scraper makes only a few requests in a short period. Respect the site's guidelines to avoid being blocked.

By proactively addressing these challenges with appropriate solutions, your Amazon review scraping efforts can remain effective, resilient, and aligned with ethical and legal standards. Regular monitoring and adaptation to changes in the web landscape are vital to maintaining a successful scraping workflow.

Conclusion

Whether you opt for a code-based or a no-code approach, scraping Amazon reviews offers a gateway to a wealth of valuable insights. Code-based methodologies, exemplified by Python and BeautifulSoup or the advanced Scrapy framework, provide powerful customization for those with coding expertise. On the other hand, no-code tools like Mobile App Scraping offer a simplified, accessible alternative, enabling users to extract Amazon review data without programming skills effortlessly.

The critical takeaway is to choose the method that aligns with your technical expertise and project requirements. The code-based route may be suitable if you're well-versed in coding and require intricate customization. Alternatively, if simplicity and accessibility are paramount, no-code tools offer a user-friendly avenue for data extraction.

Embrace the vast opportunities that Amazon review data presents for informed decision-making. Whether you're a developer, marketer, or business owner, unlocking the insights within Amazon reviews can empower you to refine strategies, enhance products, and gain a competitive edge.

Explore the possibilities with Mobile App Scraping, offering an intuitive no-code solution. Seize the opportunity to effortlessly scrape Amazon reviews, gain actionable insights, and make informed decisions. Empower your projects with Mobile App Scraping today and embark on a journey of data-driven success.

know more: https://www.mobileappscraping.com/extract-amazon-reviews.php

[littleharpethcrossfit]

Saturday, 2 December, 2023

Classes at 0730 and at 0930.

"On a misty-moisty morning

When cloudy was the weather,

I met an old man all dressed up in leather."

I really didn't think anyone would workout except Linda and I, but you surprised me as you often do. Ten of you came for the 0730 session when it was seriously raining, and another 14 came when the rain was only a drizzle.

Warmup

3 Rounds

With Naked Barbell

10 Bench Presses

10 Skull Crushers

Skull crushers had to be demo-ed and explained why for several of you. And then some of the Maiden-Lady Members were suspicious of the "Naked Barbell" part and refused to participate even when I explained and re-assured. I'm glad they didn't ask me to explain "Dumb Bells".

Strength

Bench Press: 10 / 10 / 10 / 10 All 60 To 70%

5 Ring Rows Super Sets Between Bench Press

Shane/Armando/Chase (tried)=185 Bernie/WG=165 Coach=145 Paul/Jon=125 Dyer/Smoothie/Ed/Rodney=115 Tim/John T=105 Cheri=65 Sandy/Warren A=40(2 DBs) Shannon/Joe/Sue/Linda=25 (2 DBs) Lew/SC/and a few others=did it.

WOD

3 Rounds

Only 1 Dumb Bell Needed (50/35/20)

30 Alternating Dumb Bell Snatch's

30 Dumb Bell Goblet Squats

Row-Ski 1000 / Bike 2000m

Joe=21:55 Chase=21:59* Jon=22:13 WG=22:24 John=22:50 Shane=22:52* Rodney=22:57 Sue=23:19 Warren A=23:27 WaCoach=24:14 Cheri=24:38 Bernie=24:44* Armando=25:50* Tim=27:00* Ed=27:18* Dyer=28:07 Paul=28:30* Shannon=28:45 Smoothie=28:53* Sandy=29:50* Lew/SC/Linda=did something

Notes:

I thought that was good hard fun. Never-the-less (I love to use that term), the usual malcontents fussed about the programming before they started. Being such a big hearted forgiving charitable person, I was able to ignore them and charge it to the rain.

No, it wasn't Robert this time. He doesn't walk over here on rainy days 'cause his bare skull can't tolerate the chill.

Somebody, (it wasn't Sue this time) ran over an orange traffic cone last week. It would have been a hit-and-run if the cone hadn't lodged under his engine and made a loud scraping noise as it disintegrated when he sped away. Embarrassed, and aware that he was seen, he had Amazon deliver us some definitely upgraded traffic cones today. They are taller, more robust, more expensive, and will even glow in the dark. Sue will not get away with it next time.

Yesterday, all CrossFit affiliates were informed that affiliation fees were increasing. All Grandfathered and free affiliates would increase to $4,500 annually. Unsurprisingly, the CrossFit LLC personnel don't know what their right and left hands are doing. Today I received the annual renewal for our LHCF affiliation and the fee was WAIVED as it has been for the last 12 years. Naturally, I signed and returned it in about 10 seconds. They already sent me a "PAID IN FULL" receipt. Please stand by.

Sunday at 0730 and 1 PM.

WE NEED WATER IN PLASTIC CANCER CAUSING BOTTLES.

Apropos of nothing, Jackie "O" died of Non-Hodgkins Lymphoma in her lungs, obviously caused by excessive spraying of ROUNDUP on Aristotle Onassis's Yacht.

[travelingstrawberry]

Dear Yuletide Writer 2023

It’s another Yuletide season! Thank you for writing for me this year and I hope you have fun this Yuletide!

I am also open to treats, because more cake, so go wild!

Below are some ramblings about my fanfic likes and requested fandoms, but please take them as guidelines. As long as your fic avoids the DNW list, feel free to write what excites you and I’m sure we’ll both have a great time!!

Requested fandoms:

你是我的荣耀 | You Are My Glory (TV)

卿卿日常 | New Life Begins (TV) 

还珠格格 | Huán Zhū Gé Gé | Princess Returning Pearl

如懿传 | Ruyi’s Royal Love in the Palace (TV)

知否知否应是绿肥红瘦 | The Story of Minglan (TV) 

Solitaire - Alice Oseman 

AO3 name: RuanChunXian

Do Not Want: 

dub/non con, ABO, mpreg, bathroom and vomit play/kinks, anal sex , daddy kink, incest, modern AU for historical-based shows, graphic violence, gore, grimdark, hurt no comfort, whump, incurable illness, hanahaki, first and second person narrative (exception for epistolary form), AU with fantasy/supernatural elements, alternate settings such as high school, coffee shops etc. Canon divergence is okay. 

Likes: 

Humour, especially of the snarky banter variety

Worldbuilding/historical references in historical shows

Missing scenes, especially if it explains plot holes or offers space for exploring character motivations

Friends to Lovers

Romantic fluff or healthy, romantic relationships between consenting adults who communicate

Domesticity

Slice of life

Found family dynamics, supportive friendships

Particularly strong, loyal friendships between women. In fact, in historical shows where the world/setting can be misogynistic, I would prefer stories focusing on the friendships and bonds between women, and how they survive that world, rather than their relationships with men, unless the relationship with men are of the more healthy, consenting adults of equal power variety

On the whole I would rather read about kind, decent men who have a healthy relationship with independent women and drink their respect women juice. However, with regards to a character like Qianlong in Ruyi, for example, I don’t mind exploring what makes him the man that he is, and taking into consideration the historical context of his powerful position. 

Characters, but especially women, being competent, clever, or getting out close scrapes or tricky situations using their wit and intellect

Development/exploration of female characters, especially those who may get less spotlight in canon

Everybody Lives Nobody Dies AUs

I prefer M/F and F/F ships to M/M (Does not apply to Solitaire, feel free to write Nick/Charlie and any other canon ship in Oseman-verse)

I’m open to any rating, and do not mind smut, as long as it takes into consideration the DNWs. 

This is an odd note, but relevant to writing Chinese characters: I don’t mind if you write characters' names as, for example, “Qiao Jing Jing" or “Qiao Jingjing”. You will see even in this letter I use the two forms interchangeably. But please avoid “Qiao JingJing” with capital letters in the middle of the word. 

For most of these fandoms I have requested any character, however below are some prompts that may include some specific characters. Please feel free to take these as just suggestions, and tweak the combination of characters, remove or add characters as the story requires. If you have any other idea you want to write, feel free to run with it and you don’t have to stick to these prompts. 

Now to the fandoms!

你是我的荣耀 | You Are My Glory (TV)

Characters requested: any

Fandom specific DNW: infidelity

This is a 32-episode Chinese drama (Viki, Amazon Prime, Youtube) based on the novel by Gu Man, translation available here. If you are unfamiliar with the drama and don’t want to spend 20 hours watching the drama (though obviously I highly recommend it!!), reading the novel might be quicker as it is an easy read.

What I love about this drama is the heart-warming romance featuring two emotionally mature characters who, despite knowing what they want out of life, still struggle with the high demands of modern society. Reconnecting over 10 years after high school, they learn to appreciate, love and support each other for the people they have each grown to be, and build a life together based on trust and mutual support. 

Since the original novel and the drama make heavy use of things like chat transcripts and Weibo messages etc, feel free to also incorporate this into your fic.

For the fic: I love Yu Tu and Jing Jing, both individually and as a couple, so anything about them goes. I love slice of life and the romantic fluff vibe of the drama and would love to see more of this.

Some prompts:

- The drama and novel take place mostly from Jing Jing’s point of view, but Yu Tu actually undergoes enormous emotional highs and lows throughout the drama, from his feelings about his career to his feelings about Jing Jing. I would love to see some canon scenes written from Yu Tu’s point of view, especially regarding how he gradually changes his perception about Jing Jing and how his feelings for her develop over the course of coaching her the game.

- The first meeting between Jing Jing and Yu Tu’s mother, and Yu Tu and Jing Jing’s parents both took place for less than five minutes and played mostly for laughs in the drama. Since they both have busy jobs and likely only go home about once a year during lunar new year, when is the second time they actually, properly meet each other’s parents? How do these meetings go? Beyond his mother being starstruck, how do Yu Tu’s parents actually feel about their son dating someone as famous as Jing Jing?

- Once the shock settled, how do Yu Tu and Jing Jing’s high school classmates react to this couple? How does the gossip spread around to the rest of their class? How did Xia Qing eventually hear about it and how does she react?

- Money is sort of a pink elephant in Yu Tu and Jing Jing’s relationship. It’s one thing for Yu Tu to be okay with knowing that Jing Jing will always earn ridiculously more than him, but how do they navigate this in their relationship when they are dating? After they got married? What if his mother did have some serious health issue that he is unable to pay for?

- There’s a lot of fourth-wall leaning commentary in this drama about Jing Jing’s acting career, since Dilraba is pretty much playing herself. The drama also opens as she turns 30, which is a weird point in a Chinese actress’s acting career since she would have at this point gathered enough experience to mature as an actress but lead roles for women in their 30s, playing characters that are age-appropriate, are scarce and start to dwindle rapidly at this point. So how does Jing Jing manage her acting career in her 30s and 40s and what are some challenges she might encounter?

- It’s mentioned that Jing Jing won a best actress award about a year after she and Yu Tu got together. Obviously keeping their relationship low key meant that he didn’t go to the award ceremony with her. It would be interesting to see all the behind the scenes of that scenario. Alternatively, how do they manage to keep their relationship lowkey despite Jing Jing’s fame? 

- The drama skips 5 years right after they got married, so a fic filling in the gaps, showing how they transition from dating to being married would be interesting.

- I’d love to see Jing Jing accompany Yu Tu to some university reunion and meet his more snobby classmates like Qu Ming who looked down on his career choice.

- What actually happened at the dinner when Jing Jing met Yu Tu’s colleagues? 

卿卿日常 | New Life Begins (TV) 

Characters requested: Zhao Fangru (New Life Begins), Hao Jia (New Life Begins), Dong Hai Tang (New Life Begins), Yin An's Solar Term Ladies (New Life Begins)

This drama is set in a fictional version of ancient China. The world within the drama is divided into 9 states, each with its own culture and social systems. The drama is about a young woman who comes from a state where monogamy is the norm, to the most powerful ruling state Xinchuan where men have many wives and concubines, where she is chosen to be concubine to a supposedly obscure prince. The story also features many stories of friendships between different women who marry into the state of Xinchuan and how they help each other navigate life . You can watch the drama on Youtube.

Of course what I love best about this drama is the many supportive friendships between different women. Feel free to include any of the requested characters in any combination and/or leave any of them out as you wish. 

Some prompts: 

- I absolutely love how Zhao Fangru and Hao Jia’s relationship goes from rivals to uneasy allies to friends. I would love to see the progression of this relationship after Yin Song’s exile and they don’t say goodbye. Domestic life co-parenting Changle? Working together to develop Hao Jia’s business? Traveling the world together? Feel free to write them as a romantic ship or not! 

- Who was the first of the Solar Term Ladies to enter Yin An’s household and what was the initial relationship with Haitang like? How did they discover/come to the conclusion that they weren’t rivals and become friends? How was life different when it might just be 2-3 of them, compared to where we are in the drama with nearly 20 of them? How do they develop their different ways of coping with life with Yin An? I enjoy the comedic way the drama portrays their lives with Yin An, but feel free to go a more angsty route. E.g. how do the Solar Term Ladies feel about being given new names and their old identifies being taken away? What were their lives like before Yin An and how did they become his concubine? He seems too indolent to go through lengths to take them by force and it’s hinted that he sweetalked them one way or another. You can also focus on any or any combination of the named Solar Term Ladies if you want. 

- I’m also interested in Hao Jia joining the Solar Term Ladies at their restaurant and fitting into this new life. We meet Hao Jia as Li Wei’s friend and while she does become friends with the other women like Shangguan and Sisi etc but due to her life with Yin Song, she is also often isolated from the greater sisterhood. How does she adjust to her new freedom at the restaurant and how do the Solar Term Ladies support her? It takes a village to raise a child, and Changle definitely has a village - give me some simple domesticity at the restaurant!

- I’m totally open to any other idea you might want to write, involving any of the requested characters and/or any other unrequested character. I just love the female friendships in this drama so feel free to just go along that general theme! 

还珠格格 | Huán Zhū Gé Gé | Princess Returning Pearl

Characters requested: any

Watch on Google drive.

Some relationships I would read anything of: Xiao Yan Zi/Yong Qi, Xiao Yan Zi and Zi Wei’s sisterhood, father-daughter relationship between Qian Long and Xiao Yan Zi and/or Zi Wei. But if you want some prompts:

- Xiao Yan Zi/Yong Qi slice-of-life domestic fluff. Maybe early days in their marriage, including how does Xiao Yan Zi deal with the new responsibilities and expectations that must have been thrown at her as the wife of a prince? I don’t mind pregnancy/baby/children fic but don’t feel you need to go there if that’s not your thing.

- Daily life with Xiao Yan Zi and Zi Wei either before they enter the palace, or at Shu Fang Zhai. 

- What if Xiao Yan Zi didn’t actually get injured and mistaken as a princess? How would Xiao Yan Zi and Zi Wei keep in touch? How could Yong Qi and Xiao Yan Zi meet then and fall in love? 

- I would love to read a story about Zi Wei’s childhood, which must have been difficult because her mother would be a pariah for having and raising a child out of wedlock. What types of difficulties must Zi Wei and her mother have had to deal with? What guesses/speculations did younger Zi Wei have about her father?

- The drama doesn’t really go into Zi Wei and Yong Qi’s relationship, and it sort of always feels like Yong Qi and Zi Wei were more connected by Xiao Yan Zi than anything else. I would love an exploration of this sibling relationship beyond their relationship with Xiao Yan Zi. Maybe some sibling bonding on either the plain clothes inspection trip in season 1 or during their runaway trip in season 2.

- Some pre-canon stories of the characters would also be nice: any glimpse into Yong Qi’s friendship with Er Tai (and Er Kang, but honestly in season 1 it’s clear that he’s much closer to Er Tai than Er Kang) or adventures from Xiao Yan Zi’s childhood. Bonus if maybe Yong Qi and Xiao Yan Zi have met before in Beijing and they could either remember it later or not.

如懿传 | Ruyi’s Royal Love in the Palace (TV)

Characters requested: any

Watch on Viki

I’m mostly interested in Ruyi and Hailan’s relationship, so would love to see a fic exploring that. The relationship between them can be platonic or romantic/sexual, I don’t mind either way, but if it is romantic/sexual, I don’t want that to be portrayed as being a superior form higher than a platonic friendship.

Some prompts:

- The thing I love most about Ruyi as a character is her personal integrity, and the fact that she never compromises her morals even when it would probably save her a lot of pain. Alternatively, Hailan in the drama could have been portrayed as a lot more morally-grey, but the censorship sort of put a stop to that. I would love to see the dynamics/friendship/relationship between them explored, where Ruyi can be too morally upright and Hailan’s efforts to protect her over the years.

- It’s pretty explicitly stated in the drama/novel that Qianlong raped Hailan one day while drunk and Ruyi had to beg him to give her an official position as a concubine because Hailan would have killed herself otherwise. The irony of this relationship when in this story, Qianlong is also a child produced from the emperor raping a maid and casting her aside, is staggering and should be written about more. Alternatively, how did Ruyi deal with the idea that the man she loves did this? If you take this prompt, feel free to waive the dub/non-con DNW as long as the story doesn’t glorify it.

- I am also interested in deeper exploration of Yongqi as a character and his relationship with Ruyi, especially when it grows complicated towards the end of the story. His political ambitions and his insecurities stemming from not actually being Ruyi’s son obviously conflict with his affection and respect for her. Do his insecurities come from witnessing the relationship between his father and the empress dowager, who is also only Qianlong’s adopted mother? How does he manage these feelings? If you write this prompt, and can manage it, I would prefer a light focus on Hu Yunjiao, if you have to mention her at all.

- I would like to see how Hailan copes after Ruyi’s death, and how her relationships with other women in the harem, especially with Xiangjian, Meiruo and Chen Wanyin (Wan Pin) change. After Ruyi dies, Hailan really would only be second to Wei Yanwan in the harem, so how does she use that power in the harem, especially during the years when Wei Yanwan was slowly losing her mental capacity?

- On a lighter note, I would love to see any domestic scenes of Ruyi and Hailan co-parenting Yongqi when he was a child.

知否知否应是绿肥红瘦 | The Story of Minglan (TV) 

Characters requested: any

Fandom-specific DNW: infidelity in Gu Tingyu/Minglan, Changbai/his wife, Rulan/her husband.

Watch on Viki.

 Things I would love to read about for this fandom:

- Exploration of Minglan’s thoughts and feelings for Gu Tingye before their marriage, and her growing feelings for him after their marriage. Obviously she starts out already counting the days when he might stop loving her, but does she realise at any point that she has come to love him/completely trust him?  Given her low expectations of love and everything she had witnessed all her life, how does she deal with that feeling? Does she have a moment of realising he is not like her father?

- Exploration of the relationship between Minglan and Hualan. Alternatively, Rulan is portrayed as more benign than Molan when they were growing up, but Rulan’s actions can still be quite harmful to Minglan when they were younger. An exploration of the maturing sisterhood between Rulan and Minglan, especially if Rulan could be portrayed as more sensible than anyone actually gives her credit for, would be great. How does Rulan and Minglan’s relationship mature after they got married?

- On that note, how is Rulan’s attitude to Minglan so different than how Changbai and Hualan treat Minglan? Is it just because Rulan is the youngest of her full siblings so is more petulant? Is it because she’s closer in age to Molan and just projecting her frustration with Molan onto Minglan because it’s easier? I would love to see the dynamics/different characteristics between Hualan, Changbai and Rulan explored too. 

- Other sibling relationships I am interested in seeing explored: Changbai, Hualan, Rulan, Minglan in any combination. How do Changbai or Hualan get roped into helping Gu Tingye win over Minglan? How do they feel about it? Domestic scenes/any noodle incident with Hualan and Changbai helping/protecting Minglan against their mother/Concubine Lin/even agaisnt Rulan? 

- I love Changbai and Tingye’s friendship/found family dynamics and would love to see more of it in any form. 

Solitaire - Alice Oseman 

Characters requested: any

As indicated above, ignore the “more M/F and F/F, less M/M” preference above for this fandom. Feel free to write as much or as little Nick/Charlie for this fandom as you want. 

I just discovered this novel after binging through Heartstopper, both the show and the comics. In the spirit of keeping this Solitaire-relevant and not just veering completely off to the wider Heartstopper-verse, here be some prompts:

- I am so fascinated by Nick and Tori’s interactions/relationship (friendship?) with each other. Tori trusts Nick as much as she could trust anyone under the circumstances with Charlie’s emotional and physical wellbeing, but how did that trust develop? Did they know each other at all before Nick and Charlie got together through some Truham/Higgs event/activity, or did they just meet because of Nick and Charlie? I would love to see scenes of interactions between Nick and Tori, maybe just as Nick was hanging around the Springs’ home, or during Charlie’s inpatient treatments. How did Nick and Tori support each other during Charlie’s treatment? Did they have further conversations after Charlie’s relapse during the Solitaire novel? Do they bounce ideas off each other on how to support Charlie? 

- It’s clear that it’s not just Tori and Charlie who have mental health issues. Their mother has more than her fair share of it too, which probably contributed to making her children’s mental health worse. But the novel is also from Tori’s POV and she is so deep into her own mental health crisis that there are arguments to be made that her view of her parents especially her mother is not entirely accurate. Meanwhile Olly is in the middle of all of this - how much does he really understand about both Charlie and Tori’s issues and how much do his parents (if at all) explain to him? I would love an exploration of the Spring family dynamics as they all deal with their own problems while also looking each other though the lenses of their own experiences. I realise this is a tough issue and maybe too depressing for a Yuletide story but just throwing this out there. 

- Alternatively, just because you have a mental illness doesn’t mean it’s dementors all the time. There are flashes of light and carefree time. Give me so sibling fluffs with the Spring siblings including Olly and throw Nick and/or Michael in as well if you want. Trip to the beach? Park? Arcade? I don’t play video games so I don’t know how many people can play Mario Kart at once, but some insane Mario Kart tournament? 

- The only thing that I didn’t relate to Tori about is her views on Pride and Prejudice. I found this line from her essay particularly hilarious: “I am sorry, Mr Kent, but I have not read Pride and Prejudice. I disagreed with the very first sentence and that was enough for me.” - Don’t get me wrong, I love the fact that for once the moody loner in a novel isn’t a bookworm, and in fact hates reading and books, but does she genuinely not realise that this line is satire? Does she truly think Austen believes it as well? Does anyone, e.g. Mr Kent, even explains to her that it’s meant to be tongue-in-cheek? Does Tori actually care or appreciate that? I would love a Tori take on Shakespeare because god knows she can’t go through English Lit A levels without reading Shakespeare. Considering Much Ado About Nothing also has a lot of sarcastic humour and has a very similar plot to Pride and Prejudice, what’s Tori take on this? Or Romeo and Juliet’s romance? Hamlet’s brooding? Feel free to go fully academia and write an in-universe essay if that’s your thing.

- How does Tori continue to deal with mental health and relationships after Solitaire while transferring to Truham, while knowing everything that’s happened was because of her? Do Charlie and/or Michael and her girl friends help her through this? 

- What’s Tori’s deal with diet lemonade? Is this also some food/drink-related control thing that she shares with Charlie or does Tori just likes it to the point of never drinking anything else? 

~*~

Thanks for reading this really long letter!! Again, if you have your own idea that you’re dying to write that doesn’t have any element from the DNW list, feel free to write that too! Happy writing and I can’t wait to read your story! 

[kristy-kuar]

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