#How To Scrape Using Python

[iwebscrapingblogs]

Amazon Product Data - How To Scrape Using Python

Title: Amazon Product Data: How To Scrape Using Python

In the world of e-commerce, Amazon reigns supreme as the largest online retailer, offering a vast array of products to consumers worldwide. For businesses, researchers, or anyone interested in tracking trends and pricing on Amazon, accessing Amazon product data can be a valuable resource. In this blog, we'll explore how to scrape Amazon product data using Python, unlocking a wealth of information for various purposes.

Why Scrape Amazon Product Data?

Amazon product data is a treasure trove of information. It can be used for:

Competitive Analysis: Track pricing, customer reviews, and product availability of your competitors to gain a competitive edge.

Market Research: Analyze product trends and consumer preferences to identify profitable niches.

Price Tracking: Monitor price fluctuations to make informed buying decisions and discover the best time to purchase products.

Content Creation: Collect product descriptions, images, and customer reviews to create content for your website or blog.

The Tools You'll Need

Before we dive into the scraping process, make sure you have the following tools and libraries installed:

Python: Download and install Python from the official website (https://www.python.org/).

Web Scraping Libraries: You'll need libraries like BeautifulSoup and Requests to scrape data. Install them using pip:

pip install beautifulsoup4 pip install requests

IDE or Code Editor: Use an Integrated Development Environment (IDE) like Jupyter Notebook or a code editor like Visual Studio Code for a smoother development experience.

Steps to Scrape Amazon Product Data

1. Choose Your Target URL

Select the Amazon product page you want to scrape. For example, let's say you want to scrape data for a particular laptop. Copy the URL of the laptop's product page.

2. Send a Request

Use the requests library to send an HTTP GET request to the chosen URL. This will retrieve the HTML content of the page.import requests url = 'https://www.amazon.com/dp/B07V5KS95Y' response = requests.get(url) # Check if the request was successful (status code 200) if response.status_code == 200: page_content = response.content else: print("Failed to retrieve the page.")

3. Parse HTML with BeautifulSoup

Use BeautifulSoup to parse the HTML content and extract the data you need. You can locate elements using their HTML tags, classes, or attributes.from bs4 import BeautifulSoup soup = BeautifulSoup(page_content, 'html.parser') # Example: Extract the product title product_title = soup.find('span', {'id': 'productTitle'}).text.strip()

4. Extract Relevant Information

Identify and extract the information you're interested in, such as product title, price, customer reviews, and product images. Be mindful of Amazon's terms of service while scraping.

5. Store Data

Store the scraped data in a structured format, such as CSV or JSON, for further analysis or use.import csv data = { 'Product Title': product_title, 'Price': product_price, 'Customer Reviews': customer_reviews, 'Product Images': product_images } # Example: Write data to a CSV file with open('amazon_product_data.csv', 'w', newline='', encoding='utf-8') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=data.keys()) writer.writeheader() writer.writerow(data)

6. Automate the Process

You can automate scraping by creating functions and scripts that scrape multiple product pages, set up periodic scraping, and manage large datasets efficiently.

Conclusion

Scraping Amazon product data using Python can provide valuable insights for businesses and researchers. However, it's essential to use web scraping responsibly and be aware of Amazon's terms of service to avoid any legal issues. Always respect robots.txt and ensure your scraping activities are within legal and ethical boundaries. With the right tools and techniques, you can harness the power of web scraping to gather valuable information from Amazon and use it to your advantage. Happy scraping!

[balrogballs]

I have never had a normal thought since I realised Aragorn/Estel would have been around 10 years old — more like 7/8 considering his heritage — when Thorin's Company passes through Rivendell, so here are some brainrot headcanons (continued under the cut):

Estel is obsessed with Thorin. Just completely obsessed. Follows him around everywhere like a cat, begs him to play with him, offers to run errands for him. Literally every elf in Rivendell is completely stunned at the behaviour because Estel is, normally, a card-carrying ankle-biter.

The Dwarves, on the other hand, are shocked by the fact that by a few days into the visit, Thorin seems to like Estel too. Gloin would have sworn that he expected Thorin to throw the child off the banisters the minute he made him hold his pet python. Thorin didn't just hold said snake, but played with him, let him do little odd jobs, even letting him sit up with him at the dining halls. On two evenings, he even takes Estel out with a wooden sword, to show him how to "fight like a Dwarf lord". All the Dwarves are just as shook as the elves, minus Kili and Fili, who knew Thorin as Uncle Thorin and are completely unsurprised that he is so wonderful with little Estel.

Lindir and Elrond find a content python snoozing in Elrond's study. Lindir and Elrond are both utterly and irrationally terrified of snakes. After much screaming and climbing on sofas, every member of staff swears Estel had been in his mother's quarters all day. Nobody thinks to mention that they saw Bilbo and Thorin hanging about outside the study, because what relevance could that possibly have?

When the company left Rivendell, Estel was understandably quite unhappy because he'd miss them, also they were going to see a dragon, and he begged to go with them. Thorin does what most parents do before going on a trip, and promises to bring him a present from the dragon's lair when they returned.

Bilbo returns without Thorin, but with the promised present for Estel. He visits the boy in his quarters and they hold each other and share their grief. Bilbo then shows him the present. He explains how Thorin wanted to give him something more substantial than a golden cup scraped off the floor of a dragon's lair — he had told Bilbo, the night before the battle, to give the boy Thorin's own solid gold wristband.

On the same return trip, Elrond expressed his condolences over Thorin's death, and enquired if there were other casualties. When he finds out that Kili and Fili had also died in the battle, a strange, terrible expression twisted across his face and he said, almost reflexively, both? both together? good. that's good. The remaining Dwarves and Bilbo were all stunned, thinking it was Elvish apathy at best, and deliberate disrespect at worst. After all, they had no reason to know that Elrond, like his immortal brethren, found it somewhat difficult to gauge the ages of mortal beings — and had thought the two late brothers were twins.

Decades later on the night before the Fellowship were set to depart, the elderly Bilbo Baggins found it hard to sleep from worry, and wandered onto the balcony, and saw a lone man practicing sword moves in the courtyard. He realises both man and combat style seem faintly familiar, like the heavy striding and swinging and slashing are the steps to an old dance he once used to know, which now lives in a deep, forgotten place within him, under layers of unravelling memories. He can't quite put his finger on it. But there is a strange comfort in the sight, so soothing Bilbo's eyes start to close, falling asleep curled up right there on the balcony. He slips off into a wonderful old dream, lulled by the rhythm of fallen leaves crunching in the courtyard — where Aragorn "fights like a dwarf", solid gold wristband twinkling under the light of the stars.

[gingermintpepper]

"…Do you like snakes?" The question is innocent, natural. It sprouts up from the well of Ares' mind and passes through his lips like pollen on a careless breeze. Apollo isn't angry at it. He isn't even a bit surprised. It doesn't stop his instinctual flinch, doesn't stop that phantom scent of venom and stale blood from clogging up his nose. "I'm actually rather afraid of them." Ares looks up from where he's beating his brush into the marble, his frown more a pout as he glares at Apollo, "I thought you couldn't lie? Everyone knows you're not afraid of snakes." He sniffs, annoyed and testy, bangs his brush against the marble again ruining its sable brush-hairs for good this time, "You don't have to make up nonsense to try and make me feel better." Apollo very patiently does not bang Ares' head into the marble for destroying one of his most precious paintbrushes. As a child who has not yet partaken in the hunt, he knows not the skill it takes to capture a mink, nor the labour that goes into plucking their hairs, nor the artistry that comes from binding those fine hairs to a suitable piece of etched birch. Instead, he dips his own paintbrush in the setting salve and pointedly paints in large, obvious and even strokes, "It's not nonsense. I do not like snakes." "But you killed Python." Ares digs into the salve and spills thick globs of it about the floor like a boar at the trough. Apollo graciously notes that next time, he'll endeavour to put old linens down so as to skip the hard work of scraping sealant off his tiles. "You weren't afraid then. You bathed in her blood. You enjoyed it. I felt it."

"Yes," the wet squelch of the salve is as bubbling blood in his ear. He'd shot her full of arrows then flayed her open on their points. Black from head to toe, that's how he'd returned. His hair dark with her venom, his skin soaked in her guts. His smile black with her death. "I suppose I did enjoy it." Apollo puts his paintbrush down, takes a step back to gauge the breadth of work that remains before them. "I do not think I'd enjoy such a thing now." Ares' eyes are hot on his cheek. He's rolling Apollo's words around in his head, contemplating them with a graveness he rarely lets the others observe. Apollo just wishes his gaze wasn't so probing, so snake-like in its intent. Almost predatory. "You can't change what you were born to be, Phoebus. None of us can." "On the contrary," he meets Ares' dark stare - viper versus cobra, two snakes in their little circular pot, "I have it on good authority that change is necessary for living."

[catbountry]

Look, I know the Deltarune fandom has collectively decided that pre-Big Shot era Spamton is called "Addispam," but for interpersonal characterization reasons, I write the Addisons calling Spamton "Spamison." By putting the "Spam" in his name right up front as a prefix, it serves to further alienate Spamton from them. They want to remind him that he is not like them; he is a short, janky prototype, an old guy using tactics from a pre-commercial Internet that are much slower and easier to get around than banner ads and pop-ups. He is an inferior version of themselves and they make sure that he isn't allowed to forget it. His tactics are so disliked by internet users that his unsolicited emails are labeled "spam" by a bunch of nerdy users that think quoting Monty Python is peak humor (this was very common in nerd circles in the 90's and early 2000's; trust me, I was there and I was doing it). Perhaps "Spamison" suggests that he be called "Addispam" just to feel a little bit more included, to feel like he could be one of the Addisons, only for the Addisons to ignore this suggestion unless they want favors from him.

Spamton hoarding money to make Pipis nests or just straight-up eating it comes from him having experienced a time where, for years, he did his job and making money wasn't a thing he even thought about until he was forced to flee from a decommissioned ARPANET to NSFNET, which was still a government program but with more private interests involved, and then flee AGAIN to the increasingly commercialized World Wide Web. Having money means that his home won't be abandoned or destroyed. It means he won't go hungry or sleep out in the cold alone. He was never cut out to be a salesman. He actually really sucks at it, no matter how much he tries, and has to resort to outright, blatant scams, preying on the most gullible users out there and barely scraping by as spam filters become more and more common for email clients. Being a Big Shot provided stability, safety, and having so much money meant that he could indulge in its excesses and the power it brought, going completely go to his head and giving him a massive ego because now he is important and famous and people want to be around him. And then when the phone calls stopped, he was rudderless, unable to pick up on anything useful to keep from going bankrupt almost immediately. Money allowed him to thrive, and he needs money in order to barely survive.

There's definitely a lot more of this I'd like to properly explore that I haven't even mentioned. But the idea of him having had to uproot his entire existence, twice, just to be able to find a home that wouldn't be destroyed, is something I haven't seen anybody else expand upon. He's in his 40's and didn't have an actual childhood, instead just being created fully formed as The Email Guy, and going from that, to Spamison, to Big Shot Spamton, to the glitchy, dumpster-dwelling Spamton G. Spamton we've all come to know and love.

Also I like the idea of him always having been short to really give him that short man syndrome that later goes into a full-blown Napoleon complex and serves as yet another reason for him to resent the Addisons. They treat him like a young, exploitable intern despite the fact that Spamton is nearly two decades their senior based on the fact that he's so much shorter than them, he has eight fingers instead of ten, and he's inexperienced in sales, the thing that the Addisons were created for. Indignity upon indignity.

TL;DR:

[blizzardstarx]

Blizzardstar’s Storm - Chapter 13

AO3 Link Table of Contents

Word count: ~3.2k

Warnings for violence, blood, and animal death

A/N: yayyy more trauma for bluepaw… this chapter would be called “Sisterly Bonds” if i had names for the chapters LMFAOOO

The wind ruffled the back of his fur as Bluepaw stepped out from the medicine den. Houndstar had lifted his ban from going out of camp, but he had assigned one of the rogues, Raccoon, to accompany him, making sure he wouldn’t step out of line or escape. They were running short of tansy and catmint, since a bout of whitecough had struck their Clan. A few rogues, Frog, Locust, and Python, as well as Squirreltail and one of Fawnleap’s kits, Mistlekit, had caught it. They were currently being quarantined in the elders’ den, and Leafpelt was taking care of them.

He sighed, giving a glance at the entrance. The dark gray tabby wasn’t there, so he had to wake Raccoon up from the warriors’ den. This is so stupid, He grumbled to himself as he headed off for the den, spotting the rogue sleeping in his nest.

“Hey. I’m going out to get some herbs,” Bluepaw meowed, nudging the dark gray tabby with his paw, waking him up. The tom let out a groan, rolling onto his back and slowly opening his eyes.

“Huh? Oh, yeah, sure. Give me a few moments,” the rogue yawned, getting to his paws sleepily and stretching. He was quite small compared to him and had thick, shaggy fur, but was a bit older. Raccoon was a nice companion; he wasn’t as vicious as the other rogues, and he was only curious about his job, as well as the uses of the herbs. Bluepaw was glad that Houndstar wasn’t aware of this and had assigned him.

���We’ll be going to Twolegplace to get some herbs for everyone that’s sick. We’re running quite low on them,” the medicine cat apprentice explained. Raccoon’s body stiffened at the mention of Twolegplace, but it was gone in a flash. Did I imagine it? The rogue nodded, shaking out his pelt and following him to the entrance.

The undergrowth rustled as Bluepaw pushed through the gorse tunnel, finding no resistance from the guards posted at it. He bit back a hiss as he felt the thorny bushes scrape his  pelt. He padded down the slope, entering the safety of the large oak trees, letting out a sigh of relief. It seemed like the whole forest was shaking from the wind, swaying with unrest, and he sniffed the air. Rain was soon to come; he had to hurry.

Along the way, he grabbed a few wads of cobwebs, collecting them from any place he could reach. It looked like his paw was covered in clouds after the amount he had obtained. He handed some off to Raccoon for now, then headed towards the forest edge, the tabby on his tail. 

Another gust of wind blew across his back, and he tried to fluff out his pelt to block it, shivering slightly from the cold. He swept his gaze around the woods, and noticed something peculiar. There was a large tree overshadowing a small, young sapling, the former’s foliage shaking in the wind, falling to the ground. However, Bluepaw noticed one branch had a singular leaf, a bright orange one that wouldn’t fall, even though it was being buffeted by the gale.

Is this a sign from StarClan? He wondered, his eyes rounding in fear. Was the wind sent from them as well?

I’ll keep it in mind. Ask Leafpelt about it later. He tried to focus on his task of gathering herbs, but the thought nagged at him in the back of his mind, along with Soaringstar’s warning from his dream that day. The Twolegplace finally came into view as he exited the forest. I wonder how Blizzardpaw and the others are faring. Where are they now? 

Bluepaw tasted the air, picking up the particular scent of catmint and following the trail. He headed down the grassy slope and padded onto the dirt path. High, white barriers built by Twolegs surrounded their dens, similar to the brambles protecting StormClan camp. He bunched his leg muscles, getting ready to pounce, but heard Raccoon speak up from behind him.

“Are you sure the Twolegs won’t see us?” He asked, a hint of nervousness in his mew.

“Yeah, I’m sure. You can wait here if you want,” Bluepaw meowed, his blue eyes rounding in concern for the young tom. “You don’t have to come with me.”

“I can’t let you go off on your own,” Raccoon meowed, locking eyes with him, a sense of mutual understanding passing through Bluepaw. 

“Alright, just don’t make any loud noises and you’ll be fine,” he reassured with a blink, and the other tom reluctantly nodded. Bluepaw leapt over the barrier, landing on his front paws with a soft thump. He turned, waiting for the tabby to follow, and could see him hesitating. Finally, after a few moments, a dark ball of fur leapt down next to him. 

Bluepaw searched his surroundings, his gaze landing on a patch of tall, purple flowers, the salivating smell wafting onto his tongue. He bounded towards it, making sure his pawsteps were light and quiet, taking a quick glance around for any signs of Twolegs. When he saw nothing, he gracefully plucked the leaves from the plants, breaking off as much as he could. Thank StarClan it isn’t leaf-bare yet. Otherwise they’d be dead from the frost. 

“That herb smells amazing! What is it?” Raccoon asked, his eyes shining with awe, taking several whiffs of it.

“It’s catmint. Twolegs really like growing these plants, huh? Wish we had one of those… I think they’re called “pouches”? From SunClan. They’re a crafty bunch, y’know. Weaving roots and stems together to form some really extraordinary things. I think it’s awesome. Maybe I’ll ask Peachheart for one at a half-moon meeting.” If I ever get the chance.

“Cats weaving? Wow, I’ve never heard such a thing. I wonder how they do it.”

“It’s like they conjured it up from StarClan or something. No clue.” Bluepaw twitched his whiskers, a faint smile on his face. He sniffed the air once more, trying not to focus on the overwhelming smell of the catmint, but it was too much. Instead, he used his vision, walking around the back of the Twoleg den, but he couldn’t find his target. “Come on, let’s search another one. This one doesn’t have the herb I’m looking for.”

“Which one will?” Raccoon’s gaze darted around, fidgeting around as if ants crawled into his fur. Bluepaw didn’t know how to reassure him, his tail drooping slightly. I don’t know.

He leaped over another Twoleg wall, his ears perking up as he spotted the familiar sight of tansy; he’d nearly trodden over some. “You don’t have to jump over; you can meet me on the other side,” he called out.

“Promise you won’t run off?”

“I won’t.” He began to dig around the clumps of yellow flowers, uprooting them and plucking them with his teeth. It’s not like I can, anyway.

“What’s this for?” The dark gray tabby leaned in and sniffed the herb curiously, his head tilted slightly to the side.

“It’s tansy, it’s for coughs and sore throats. It also prevents greencough, which is good, since there's so many cats already infected with whitecough, and are more prone for it to develop into greencough.”

“Huh. That’s cool! How do you memorize so many herbs and their locations? It must be hard, training to be a medicine cat and taking care of so many cats.”

“It is. But that’s our duty, to make sure that we don’t make any mistakes treating the sick and hurt. Well, at least, it minimizes that risk.”

“That’s interesting, I’d want to learn about herbs,” Raccoon admitted, running his paw over the small, yellow flowers. “In our group, we all look after each other. Unlike you Clan cats, we have no roles, no warriors, no medicine cat. Just… a family. Well, except for Coyote. He’s our leader, but that’s because we wouldn’t have survived without him. It falls on everyone to take care of each other. Although, some of us have forgotten that.”

He paused for a few heartbeats, staring down at the ground. “I probably shouldn’t have told you that.”

Bluepaw admired the rogues’ loyalty to each other, and wondered what they had gone through before. It was similar to a Clan; every cat had their own role in partaking and contributing to it, and looked after the young and elderly. A Clan was just one big family, no? What did it matter if they were considered different? One a Clan cat, and one a rogue. In the end, they were both cats under Houndstar’s control. What made Coyote agree to ally with Houndstar, though? Territory? Food? Power?

He shook out his grayish-blue pelt, trying to rid himself of his thoughts. “Let’s go back to camp, Leafpelt will be grateful for these herbs.”

“Bluepaw! You’ve gotten so many,” Leafpelt purred, nuzzling him affectionately. He found her in the medicine den, as he had to drop off the excess of herbs. “Thank you. You too, Raccoon. You’ve got your paws full with them.”

“If it’s going to help my friends,” Raccoon rumbled, dipping his head.

“I hope it’s enough,” the apprentice meowed, purring as well. Him and Raccoon placed them at the back of the den, and he began to sort the pile, placing each herb in its respective place. The dark tabby tom left, heading off to the warriors’ den. 

“Do you want to come with me to check on Squirreltail? She’s been acting quite strangely recently,” his mentor prompted. “And bring some catmint too.”

Bluepaw looked up from the herbs, nodding. “Of course.” Is she getting worse? Fever, headaches, sore throat? The list of symptoms ran through his mind, but he realized Leafpelt would’ve asked him to grab more than catmint to cure her, if she had gotten worse. He grabbed a few of the gray-green leaves, exiting the den alongside his mentor.

He entered the elders’ den, padding over to the red she-cat, who was half-awake in her temporary nest. Bluepaw saw his mentor sit down next to him.

“Hi, Squirreltail,” Bluepaw greeted, dipping his head. “How’re you feeling?”

“Horrible. I’m so tired, and the whitecough is making it worse,” Squirreltail groaned, letting out a yawn.

“Here, this’ll help with the whitecough,” he meowed, popping a catmint leaf into his mouth, chewing it thoroughly into a pulp and giving it to her.

“I think I know why. Leafpelt, Bluepaw… I’m expecting Eagleflight’s kits,” she whispered, looking downcast.

“That’s… that’s great news!” Leafpelt cried, gasping. Bluepaw pressed his ear to the red she-cat’s belly, hearing the sound of water rushing.

“You are,” Bluepaw confirmed, racking his mind for the herbs needed. Sorrel for strength, borage for more milk…

“But I don’t know if I want to bring these kits into this environment,” Squirreltail admitted, flattening her ears and letting out a cough. “With everything that’s happened, will they be able to survive?”

“I’ll make sure they will,” his mentor promised, giving her a gentle smile. “Your kits will be fine.”

“Alright.”

Bluepaw glanced around the den, spotting some of the sick rogues and going over to them. “Here, this will help,” he gave the catmint pulp to them as well, and slowly, their coughs were relieved.

“Thanks, Bluepaw,” Leafpelt meowed. “I’ll take care of Squirreltail, alright?”

He nodded, exiting the den. Should I tell Coyote how his rogues are doing? Bluepaw recalled Raccoon’s words, of their group’s loyalty to each other. He must be worried about them.

He headed for the fallen log, looking for Coyote to give his report of the sick rogues, since he was usually speaking with Houndstar, but instead, he heard faint, angry mews coming from inside. 

“This is wrong, Houndstar. Stealing kits and taking them hostage won’t bring her back! Taking over the other Clans won’t bring her back! You’ve gone too far with this, the power is getting to your head!” He recognized the voice as Magpieflight’s. I thought she supported her brother? Why is she arguing with him?

“How dare you, sister. I thought you understood, I thought you would agree. But I guess I was wrong.”

“This is all wrong. Please, this has to come to an end. She would’ve never wanted this. If she were here now, she’d tell you to stop as well. You’re barely even recognizable anymore; you’re not the same brother I have known and loved. You’ve changed, Houndstar.”

“You dare defy me? You’re too weak for this Clan; you’re blinded by your sensitivity. You’re a traitor to StormClan.”

“You’re the one who’s blind, blinded by your grief and anger! You have willingly caused grief to a family just because of their patriarch’s actions, slaughtered cats that had nothing to do with her death, and are now endangering the lives of kits? You’re despicable. You’re a monster. You are no brother of mine!”

A sharp yelp from the black and white she-cat pierced the air, and Bluepaw flinched, eyes wide with terror. Magpieflight was brave for standing up to her brother, but was also a fool for doing so. 

Houndstar left the den, locking eyes with Bluepaw, who shrank away at his gaze. He knew that he had been eavesdropping on the conversation. But as Bluepaw braced for pain, squeezing his eyes shut, it didn’t come. He opened one eye slightly, watching the black tom climb Skyrock, his sister’s scruff in his jaws, dragging her roughly before letting go and pinning her to the boulder. 

“Let this be a lesson to any cat that wishes to defy my commands,” he yowled, sweeping the clearing with a glare. Bluepaw saw Blossombreeze, her eyes round and slitted, locked onto the sight of her mate, held down by Houndstar. She betrayed no emotions, other than her body being as stiff as a rock. The rogues watched in a mixture of awe and shock, gathered near the warriors’ den, some even cheering. Cinderclaw and Wolfclaw were grinning, while Harepounce turned away, staring at the ground, only to be forced by Cinderclaw to watch. Fawnleap was outside the nursery, covering Flutterkit’s eyes with her paw, her ears flattened as she stared at the spectacle. He spotted Leafpelt bursting from the elder’s den, her eyes slitted, the fur on her back spiked with shock.

Magpieflight was struggling underneath his claws, thrashing and kicking, trying to escape. Houndstar darted down, clamping his jaws around her throat, and Bluepaw thought he would tear it out. But what followed made his breath catch. 

In a flash, the black and white she-cat flew up into the air. Time seemed to freeze as Bluepaw stared with wide eyes, ice-cold horror washing over his body, the she-cat’s body lit by a stark outline created by the sunlight. He was unable to look away, his eyes locked to Magpieflight. Would she be able to land on her feet?

Like a stone, she dropped quickly from the sky, hitting the ground with a sickening thud. Blood started dripping from the corner of her mouth, and Bluepaw stood there in shock, wanting to rush to her side and help her, the nature of a medicine cat kicking in. But no one came. The black and white she-cat was left to die, painfully and slowly from the injuries sustained, caused by her inability to land properly. No cat was safe from Houndstar’s wrath; not even his own sister.

“As for you…” the haunting yellow gaze of Houndstar landed on him, and he felt his blood run cold. The black tom began to advance on him, snarling, claws unsheathed. 

Leafpelt leaped in front of him, stepping in between him and Houndstar, her fur bristling. “What did he do?” She cried, demanding for an answer.

“Step aside! I have let you get away for too long. You have given information to traitors, running off to help them,” Houndstar growled, glaring at Bluepaw pointedly, like teeth digging into his neck. “Traitors are to be punished!”

He shared a glance with his mentor, who looked horrified at Houndstar’s words. Why was he punishing him now? Just to make a show?

“No. It was my fault, it was my idea,” Leafpelt meowed. Bluepaw froze, his mouth agape with shock, staring at the back of his mentor’s head. What? 

“No!” Bluepaw yowled, but Leafpelt hushed him, shaking her head.

“I’m the one you should be punishing. I’m the one to blame.” No it isn’t! He wanted to yowl, he wanted to stop her, but words were unable to come from his mouth, his throat closing up. All he could force out was four words. “You can’t do this,” Bluepaw begged Leafpelt, his mew morphing into a weak, pathetic whimper.

“Move out of the way!” the black tom snarled, his fur bristling in anger. He took one step forwards, and Leafpelt matched it, blocking his path.

“I won’t let you hurt my apprentice.”

“Then so be it. Blossombreeze,” Houndstar hissed, baring his teeth in disgust. The tortoiseshell she-cat shot up, her ears pricked. “Show her what happens to traitors.”

The two she-cats stared at each other with deadpan expressions, but reluctantly, Blossombreeze shuffled forwards, unsheathing her claws. 

“You don’t have to do this, Blossombreeze. Please,” Bluepaw begged, helpless as he watched the tortoiseshell she-cat step closer to his mentor, claws catching in the sunlight. She couldn’t meet his eyes, but he saw a trace of emotion in her green gaze. Fear. It was cruel, it was despicable, pitting two sisters against each other. Leafpelt had told him that ever since their father died in the Great Famine, Blossombreeze had blamed and hated her. But now, face to face, they saw each other for what they truly were.

With Leafpelt’s attention diverted, Houndstar darted behind her, as fast as a snake, and in a flash, grabbed Bluepaw’s scruff, holding him down. 

“Kill her,” Houndstar barked, and Bluepaw felt his hot breath ruffle his fur, a shiver running down his spine. No!

“Stop! It was only my idea, Leafpelt had nothing to do with it!” Bluepaw yowled, thrashing like a fish in Houndstar’s jaws. He was unable to stop them, too weak and too powerless. Houndstar wasn’t pinning him down or getting ready to kill him, he was making Bluepaw watch as his mentor was slain in front of him.

Blossombreeze lunged at her sister, but Leafpelt would not fight back. Even as Bluepaw silently screamed for her to do so, she would not. Even with every blow Blossombreeze landed on her, she would not falter, still standing, holding her ground rebelliously.

The leaf that would not fall.

“No, stop! Please, please stop,” Bluepaw begged, sobbing, his vision blurring. He could see the strength in Leafpelt fading, yet she still stood on her paws, not once stumbling. Even as the blood poured from her wounds, lapping at his paws. “Blossombreeze, stop.”

The fluffy tortoiseshell she-cat averted her gaze, slicing Leafpelt’s throat, finally putting an end to her pain. 

And Bluepaw remembered how his mentor had wished to make amends with her sister.

@castiels-destiny

Next chapter:

Chapter 14

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[zooplekochi]

Automate Simple Tasks Using Python: A Beginner’s Guide

In today's fast paced digital world, time is money. Whether you're a student, a professional, or a small business owner, repetitive tasks can eat up a large portion of your day. The good news? Many of these routine jobs can be automated, saving you time, effort, and even reducing the chance of human error.

Enter Python a powerful, beginner-friendly programming language that's perfect for task automation. With its clean syntax and massive ecosystem of libraries, Python empowers users to automate just about anything from renaming files and sending emails to scraping websites and organizing data.

If you're new to programming or looking for ways to boost your productivity, this guide will walk you through how to automate simple tasks using Python.

🌟 Why Choose Python for Automation?

Before we dive into practical applications, let’s understand why Python is such a popular choice for automation:

Easy to learn: Python has simple, readable syntax, making it ideal for beginners.

Wide range of libraries: Python has a rich ecosystem of libraries tailored for different tasks like file handling, web scraping, emailing, and more.

Platform-independent: Python works across Windows, Mac, and Linux.

Strong community support: From Stack Overflow to GitHub, you’ll never be short on help.

Now, let’s explore real-world examples of how you can use Python to automate everyday tasks.

🗂 1. Automating File and Folder Management

Organizing files manually can be tiresome, especially when dealing with large amounts of data. Python’s built-in os and shutil modules allow you to automate file operations like:

Renaming files in bulk

Moving files based on type or date

Deleting unwanted files

Example: Rename multiple files in a folder

import os folder_path = 'C:/Users/YourName/Documents/Reports' for count, filename in enumerate(os.listdir(folder_path)): dst = f"report_{str(count)}.pdf" src = os.path.join(folder_path, filename) dst = os.path.join(folder_path, dst) os.rename(src, dst)

This script renames every file in the folder with a sequential number.

📧 2. Sending Emails Automatically

Python can be used to send emails with the smtplib and email libraries. Whether it’s sending reminders, reports, or newsletters, automating this process can save you significant time.

Example: Sending a basic email

import smtplib from email.message import EmailMessage msg = EmailMessage() msg.set_content("Hello, this is an automated email from Python!") msg['Subject'] = 'Automation Test' msg['From'] = 'you@example.com' msg['To'] = 'recipient@example.com' with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp: smtp.login('you@example.com', 'yourpassword') smtp.send_message(msg)

⚠️ Note: Always secure your credentials when writing scripts consider using environment variables or secret managers.

🌐 3. Web Scraping for Data Collection

Want to extract information from websites without copying and pasting manually? Python’s requests and BeautifulSoup libraries let you scrape content from web pages with ease.

Example: Scraping news headlines

import requests from bs4 import BeautifulSoup url = 'https://www.bbc.com/news' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') for headline in soup.find_all('h3'): print(headline.text)

This basic script extracts and prints the headlines from BBC News.

📅 4. Automating Excel Tasks

If you work with Excel sheets, you’ll love openpyxl and pandas two powerful libraries that allow you to automate:

Creating spreadsheets

Sorting data

Applying formulas

Generating reports

Example: Reading and filtering Excel data

import pandas as pd df = pd.read_excel('sales_data.xlsx') high_sales = df[df['Revenue'] > 10000] print(high_sales)

This script filters sales records with revenue above 10,000.

💻 5. Scheduling Tasks

You can schedule scripts to run at specific times using Python’s schedule or APScheduler libraries. This is great for automating daily reports, reminders, or file backups.

Example: Run a function every day at 9 AM

import schedule import time def job(): print("Running scheduled task...") schedule.every().day.at("09:00").do(job) while True: schedule.run_pending() time.sleep(1)

This loop checks every second if it’s time to run the task.

🧹 6. Cleaning and Formatting Data

Cleaning data manually in Excel or Google Sheets is time-consuming. Python’s pandas makes it easy to:

Remove duplicates

Fix formatting

Convert data types

Handle missing values

Example: Clean a dataset

df = pd.read_csv('data.csv') df.drop_duplicates(inplace=True) df['Name'] = df['Name'].str.title() df.fillna(0, inplace=True) df.to_csv('cleaned_data.csv', index=False)

💬 7. Automating WhatsApp Messages (for fun or alerts)

Yes, you can even send WhatsApp messages using Python! Libraries like pywhatkit make this possible.

Example: Send a WhatsApp message

import pywhatkit pywhatkit.sendwhatmsg("+911234567890", "Hello from Python!", 15, 0)

This sends a message at 3:00 PM. It’s great for sending alerts or reminders.

🛒 8. Automating E-Commerce Price Tracking

You can use web scraping and conditionals to track price changes of products on sites like Amazon or Flipkart.

Example: Track a product’s price

url = "https://www.amazon.in/dp/B09XYZ123" headers = {"User-Agent": "Mozilla/5.0"} page = requests.get(url, headers=headers) soup = BeautifulSoup(page.content, 'html.parser') price = soup.find('span', {'class': 'a-price-whole'}).text print(f"The current price is ₹{price}")

With a few tweaks, you can send yourself alerts when prices drop.

📚 Final Thoughts

Automation is no longer a luxury it’s a necessity. With Python, you don’t need to be a coding expert to start simplifying your life. From managing files and scraping websites to sending e-mails and scheduling tasks, the possibilities are vast.

As a beginner, start small. Pick one repetitive task and try automating it. With every script you write, your confidence and productivity will grow.

Conclusion

If you're serious about mastering automation with Python, Zoople Technologies offers comprehensive, beginner-friendly Python course in Kerala. Our hands-on training approach ensures you learn by doing with real-world projects that prepare you for today’s tech-driven careers.

[destinationtoast]

Do you have tips on how to scrape data from AO3?

I do! I put together a tutorial that addresses some common questions and offers several options on how to get data. Some of the options involve scraping data, and I include pointers to some of my python code... though tbh my code is pretty ancient and in need of maintenance at this point, so whether you want to use my code depends how much skill and patience you have for dealing with that. Also be sure to read the AO3 TOS, which includes some rules for scraping.

If you have specific questions I may be able to offer further help. Good luck!

[sindhu14]

What is Python, How to Learn Python?

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used in various fields like: ✅ Web Development (Django, Flask) ✅ Data Science & Machine Learning (Pandas, NumPy, TensorFlow) ✅ Automation & Scripting (Web scraping, File automation) ✅ Game Development (Pygame) ✅ Cybersecurity & Ethical Hacking ✅ Embedded Systems & IoT (MicroPython)

Python is beginner-friendly because of its easy-to-read syntax, large community, and vast library support.

How Long Does It Take to Learn Python?

The time required to learn Python depends on your goals and background. Here’s a general breakdown:

1. Basics of Python (1-2 months)

If you spend 1-2 hours daily, you can master:

Variables, Data Types, Operators

Loops & Conditionals

Functions & Modules

Lists, Tuples, Dictionaries

File Handling

Basic Object-Oriented Programming (OOP)

2. Intermediate Level (2-4 months)

Once comfortable with basics, focus on:

Advanced OOP concepts

Exception Handling

Working with APIs & Web Scraping

Database handling (SQL, SQLite)

Python Libraries (Requests, Pandas, NumPy)

Small real-world projects

3. Advanced Python & Specialization (6+ months)

If you want to go pro, specialize in:

Data Science & Machine Learning (Matplotlib, Scikit-Learn, TensorFlow)

Web Development (Django, Flask)

Automation & Scripting

Cybersecurity & Ethical Hacking

Learning Plan Based on Your Goal

📌 Casual Learning – 3-6 months (for automation, scripting, or general knowledge) 📌 Professional Development – 6-12 months (for jobs in software, data science, etc.) 📌 Deep Mastery – 1-2 years (for AI, ML, complex projects, research)

Scope @ NareshIT:

At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.

It skilled you along with phase-end and capstone projects based on real business scenarios.

Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.

An end-to-end application with exciting features

Earn an industry-recognized course completion certificate.

For more details:

[kuruppum]

🚀 Supercharge Your Productivity with DeepSeek’s AI Tools! (Free Access)

Hey AI Guys! 👋

I’ve been using DeepSeek (an AI-powered platform for research, coding, data analysis, and more) and it’s been a game-changer for my workflow. 🚀

Why you’ll love it: ✅ Instant answers to complex technical questions ✅ Code generation/debugging for multiple programming languages ✅ Data analysis & visualization tools ✅ FREE tier with generous access (no credit card needed!)

👉 Use my referral link to get started: Join Now!

💡 Pro Tip: Their “Advanced Search” feature digs through academic papers, forums, and code repositories better than standard search engines. Perfect for students, devs, and researchers!

🗨️ Example uses:

Student: “Explain quantum computing basics in simple terms.”

Developer: “Write a Python script to scrape data from a website.”

Analyst: “Analyze this CSV dataset and create a bar chart.”

🙌 Why use my link?

You’ll get priority access to new features.

Helps me share more tools/tips with this community!

⚠️ Heads up: Free slots can fill up fast—claim your access now!

Let me know if you try it—I’d love to hear how it works! 💬

[olderthannetfic]

i saw u said smth abt downloading a whole fandom or tag from ao3, can you go into more detail on how you do that? thanks

--

Well, assuming AO3 isn't blocking all bots (which they're not this instant but probably will be intermittently due to the attacks), you use a script to scrape. Specifically, nia's, which I linked to earlier today.

This requires figuring out Python, but it's more doable than you think. It does not require programming, just following directions.

The way this particular script works, you put in a URL, and it grabs all the fics it finds there. And things like a fandom tag or your entire reading history are URLs, so...

[iwebscrapingblogs]

Web scraping Amazon product data refers to automatically extracting product information on Amazon.

For More Information:-

https://www.iwebscraping.com/how-to-scrape-amazon-product-data-using-python.php

[quotejungle]

一部の Web サイトは Selenium、Puppeteer などを使用して簡単にスクレイピングできますが、CAPTCHA や IP 禁止などの高度なセキュリティ対策を実装している他の Web サイトは難しい場合があります。これらの課題を克服し、構築する Scraper を使用して 99% の Web サイトを無料でスクレイピングできるようにするには、これらのセキュリティ対策を回避するのに役立つプロキシ ツールをコードに統合します。

How to Scrape and Analyse Data for Free using AI: From Collection to Insight | by Victor Yakubu | Dec, 2024 | Python in Plain English

[writter123]

Key Programming Languages Every Ethical Hacker Should Know

In the realm of cybersecurity, ethical hacking stands as a critical line of defense against cyber threats. Ethical hackers use their skills to identify vulnerabilities and prevent malicious attacks. To be effective in this role, a strong foundation in programming is essential. Certain programming languages are particularly valuable for ethical hackers, enabling them to develop tools, scripts, and exploits. This blog post explores the most important programming languages for ethical hackers and how these skills are integrated into various training programs.

Python: The Versatile Tool

Python is often considered the go-to language for ethical hackers due to its versatility and ease of use. It offers a wide range of libraries and frameworks that simplify tasks like scripting, automation, and data analysis. Python’s readability and broad community support make it a popular choice for developing custom security tools and performing various hacking tasks. Many top Ethical Hacking Course institutes incorporate Python into their curriculum because it allows students to quickly grasp the basics and apply their knowledge to real-world scenarios. In an Ethical Hacking Course, learning Python can significantly enhance your ability to automate tasks and write scripts for penetration testing. Its extensive libraries, such as Scapy for network analysis and Beautiful Soup for web scraping, can be crucial for ethical hacking projects.

JavaScript: The Web Scripting Language

JavaScript is indispensable for ethical hackers who focus on web security. It is the primary language used in web development and can be leveraged to understand and exploit vulnerabilities in web applications. By mastering JavaScript, ethical hackers can identify issues like Cross-Site Scripting (XSS) and develop techniques to mitigate such risks. An Ethical Hacking Course often covers JavaScript to help students comprehend how web applications work and how attackers can exploit JavaScript-based vulnerabilities. Understanding this language enables ethical hackers to perform more effective security assessments on websites and web applications.

Biggest Cyber Attacks in the World

C and C++: Low-Level Mastery

C and C++ are essential for ethical hackers who need to delve into low-level programming and system vulnerabilities. These languages are used to develop software and operating systems, making them crucial for understanding how exploits work at a fundamental level. Mastery of C and C++ can help ethical hackers identify and exploit buffer overflows, memory corruption, and other critical vulnerabilities. Courses at leading Ethical Hacking Course institutes frequently include C and C++ programming to provide a deep understanding of how software vulnerabilities can be exploited. Knowledge of these languages is often a prerequisite for advanced penetration testing and vulnerability analysis.

Bash Scripting: The Command-Line Interface

Bash scripting is a powerful tool for automating tasks on Unix-based systems. It allows ethical hackers to write scripts that perform complex sequences of commands, making it easier to conduct security audits and manage multiple tasks efficiently. Bash scripting is particularly useful for creating custom tools and automating repetitive tasks during penetration testing. An Ethical Hacking Course that offers job assistance often emphasizes the importance of Bash scripting, as it is a fundamental skill for many security roles. Being proficient in Bash can streamline workflows and improve efficiency when working with Linux-based systems and tools.

SQL: Database Security Insights

Structured Query Language (SQL) is essential for ethical hackers who need to assess and secure databases. SQL injection is a common attack vector used to exploit vulnerabilities in web applications that interact with databases. By understanding SQL, ethical hackers can identify and prevent SQL injection attacks and assess the security of database systems. Incorporating SQL into an Ethical Hacking Course can provide students with a comprehensive understanding of database security and vulnerability management. This knowledge is crucial for performing thorough security assessments and ensuring robust protection against database-related attacks.

Understanding Course Content and Fees

When choosing an Ethical Hacking Course, it’s important to consider how well the program covers essential programming languages. Courses offered by top Ethical Hacking Course institutes should provide practical, hands-on training in Python, JavaScript, C/C++, Bash scripting, and SQL. Additionally, the course fee can vary depending on the institute and the comprehensiveness of the program. Investing in a high-quality course that covers these programming languages and offers practical experience can significantly enhance your skills and employability in the cybersecurity field.

Certification and Career Advancement

Obtaining an Ethical Hacking Course certification can validate your expertise and improve your career prospects. Certifications from reputable institutes often include components related to the programming languages discussed above. For instance, certifications may test your ability to write scripts in Python or perform SQL injection attacks. By securing an Ethical Hacking Course certification, you demonstrate your proficiency in essential programming languages and your readiness to tackle complex security challenges. Mastering the right programming languages is crucial for anyone pursuing a career in ethical hacking. Python, JavaScript, C/C++, Bash scripting, and SQL each play a unique role in the ethical hacking landscape, providing the tools and knowledge needed to identify and address security vulnerabilities. By choosing a top Ethical Hacking Course institute that covers these languages and investing in a course that offers practical training and job assistance, you can position yourself for success in this dynamic field. With the right skills and certification, you’ll be well-equipped to tackle the evolving challenges of cybersecurity and contribute to protecting critical digital assets.

[digitaldeeptech]

Must-Have Programmatic SEO Tools for Superior Rankings

Understanding Programmatic SEO

What is programmatic SEO?

Programmatic SEO uses automated tools and scripts to scale SEO efforts. In contrast to traditional SEO, where huge manual efforts were taken, programmatic SEO extracts data and uses automation for content development, on-page SEO element optimization, and large-scale link building. This is especially effective on large websites with thousands of pages, like e-commerce platforms, travel sites, and news portals.

The Power of SEO Automation

The automation within SEO tends to consume less time, with large content levels needing optimization. Using programmatic tools, therefore, makes it easier to analyze vast volumes of data, identify opportunities, and even make changes within the least period of time available. This thus keeps you ahead in the competitive SEO game and helps drive more organic traffic to your site.

Top Programmatic SEO Tools

1. Screaming Frog SEO Spider

The Screaming Frog is a multipurpose tool that crawls websites to identify SEO issues. Amongst the things it does are everything, from broken links to duplication of content and missing metadata to other on-page SEO problems within your website. Screaming Frog shortens a procedure from thousands of hours of manual work to hours of automated work.

Example: It helped an e-commerce giant fix over 10,000 broken links and increase their organic traffic by as much as 20%.

2. Ahrefs

Ahrefs is an all-in-one SEO tool that helps you understand your website performance, backlinks, and keyword research. The site audit shows technical SEO issues, whereas its keyword research and content explorer tools help one locate new content opportunities.

Example: A travel blog that used Ahrefs for sniffing out high-potential keywords and updating its existing content for those keywords grew search visibility by 30%.

3. SEMrush

SEMrush is the next well-known, full-featured SEO tool with a lot of features related to keyword research, site audit, backlink analysis, and competitor analysis. Its position tracking and content optimization tools are very helpful in programmatic SEO.

Example: A news portal leveraged SEMrush to analyze competitor strategies, thus improving their content and hoisting themselves to the first page of rankings significantly.

4. Google Data Studio

Google Data Studio allows users to build interactive dashboards from a professional and visualized perspective regarding SEO data. It is possible to integrate data from different sources like Google Analytics, Google Search Console, and third-party tools while tracking SEO performance in real-time.

Example: Google Data Studio helped a retailer stay up-to-date on all of their SEO KPIs to drive data-driven decisions that led to a 25% organic traffic improvement.

5. Python

Python, in general, is a very powerful programming language with the ability to program almost all SEO work. You can write a script in Python to scrape data, analyze huge datasets, automate content optimization, and much more.

Example: A marketing agency used Python for thousands of product meta-description automations. This saved the manual time of resources and improved search rank.

The How for Programmatic SEO

Step 1: In-Depth Site Analysis

Before diving into programmatic SEO, one has to conduct a full site audit. Such technical SEO issues, together with on-page optimization gaps and opportunities to earn backlinks, can be found with tools like Screaming Frog, Ahrefs, and SEMrush.

Step 2: Identify High-Impact Opportunities

Use the data collected to figure out the biggest bang-for-buck opportunities. Look at those pages with the potential for quite a high volume of traffic, but which are underperforming regarding the keywords focused on and content gaps that can be filled with new or updated content.

Step 3: Content Automation

This is one of the most vital parts of programmatic SEO. Scripts and tools such as the ones programmed in Python for the generation of content come quite in handy for producing significant, plentiful, and high-quality content in a short amount of time. Ensure no duplication of content, relevance, and optimization for all your target keywords.

Example: An e-commerce website generated unique product descriptions for thousands of its products with a Python script, gaining 15% more organic traffic.

Step 4: Optimize on-page elements

Tools like Screaming Frog and Ahrefs can also be leveraged to find loopholes for optimizing the on-page SEO elements. This includes meta titles, meta descriptions, headings, or even adding alt text for images. Make these changes in as effective a manner as possible.

Step 5: Build High-Quality Backlinks

Link building is one of the most vital components of SEO. Tools to be used in this regard include Ahrefs and SEMrush, which help identify opportunities for backlinks and automate outreach campaigns. Begin to acquire high-quality links from authoritative websites.

Example: A SaaS company automated its link-building outreach using SEMrush, landed some wonderful backlinks from industry-leading blogs, and considerably improved its domain authority. ### Step 6: Monitor and Analyze Performance

Regularly track your SEO performance on Google Data Studio. Analyze your data concerning your programmatic efforts and make data-driven decisions on the refinement of your strategy.

See Programmatic SEO in Action

50% Win in Organic Traffic for an E-Commerce Site

Remarkably, an e-commerce electronics website was undergoing an exercise in setting up programmatic SEO for its product pages with Python scripting to enable unique meta descriptions while fixing technical issues with the help of Screaming Frog. Within just six months, the experience had already driven a 50% rise in organic traffic.

A Travel Blog Boosts Search Visibility by 40%

Ahrefs and SEMrush were used to recognize high-potential keywords and optimize the content on their travel blog. By automating updates in content and link-building activities, it was able to set itself up to achieve 40% increased search visibility and more organic visitors.

User Engagement Improvement on a News Portal

A news portal had the option to use Google Data Studio to make some real-time dashboards to monitor their performance in SEO. Backed by insights from real-time dashboards, this helped them optimize the content strategy, leading to increased user engagement and organic traffic.

Challenges and Solutions in Programmatic SEO

Ensuring Content Quality

Quality may take a hit in the automated process of creating content. Therefore, ensure that your automated scripts can produce unique, high-quality, and relevant content. Make sure to review and fine-tune the content generation process periodically.

Handling Huge Amounts of Data

Dealing with huge amounts of data can become overwhelming. Use data visualization tools such as Google Data Studio to create dashboards that are interactive, easy to make sense of, and result in effective decision-making.

Keeping Current With Algorithm Changes

Search engine algorithms are always in a state of flux. Keep current on all the recent updates and calibrate your programmatic SEO strategies accordingly. Get ahead of the learning curve by following industry blogs, attending webinars, and taking part in SEO forums.

Future of Programmatic SEO

The future of programmatic SEO seems promising, as developing sectors in artificial intelligence and machine learning are taking this space to new heights. Developing AI-driven tools would allow much more sophisticated automation of tasks, thus making things easier and faster for marketers to optimize sites as well.

There are already AI-driven content creation tools that can make the content to be written highly relevant and engaging at scale, multiplying the potential of programmatic SEO.

Conclusion

Programmatic SEO is the next step for any digital marketer willing to scale up efforts in the competitive online landscape. The right tools and techniques put you in a position to automate key SEO tasks, thus optimizing your website for more organic traffic. The same goals can be reached more effectively and efficiently if one applies programmatic SEO to an e-commerce site, a travel blog, or even a news portal.

[someidiotwithalaptop]

In today's installment of unnecessarily complicated bullshit coded by your local compsci reject at 5am: literally every* rwby ship tag ID on AO3

If you've ever wanted to be able to search for all fics tagged with an OT3 or all three of its composite pairings, well. uh. here's how to do it

Long post incoming!

Tag IDs are unique numbers associated with each tag, and if you chuck this:

filter_ids: 12345

into the "Search within results" field on AO3 (or "Any field" if you're in the Advanced search), it will filter for all fics that have tag #12345. This is basically useless unless you know what numbers go to which tags (we'll get to that in a sec), but if you do, then you can do fun stuff like this:

filter_ids: 1072769 OR filter_ids: 994409

(Which translates to Bumbleby OR Whiterose)

This lets you search for fics with either tag A or tag B instead of only fics that have both. Afaik not something the nice filtering UI is able to do.

Searching for Bumbleby AND Whiterose just involves tossing two of those "filter_ids" thingies into the search together like this:

filter_ids: 1072769 filter_ids: 994409

You can also combine them like so:

(filter_ids: 1072769 filter_ids: 1325904 filter_ids: 1059208) OR filter_ids: 2397525

((Bumbleby AND Freezerburn AND Monochrome) OR Bees Schnees)

to look for all fics with either both of the first two tags or the second tag. I've been messing around with this a bit and so far it's been letting me make my searches as long and complicated as I want.

(EDIT: okay so trying to put 683 tag filters in at the same time will return an error...)

Anyways, getting back to what the fuck are these numbers even, I put an explanation of how I found them over here (sort of, in practice I used python to do most of the legwork because jESUS FUCK THERE'S OVER 2,000 OF THEM). But for those who don't want to spend ages poking around in html code, I present:

The Fuckoff Giant Text File Of RWBY Relationship Tag IDs

It should be possible to download it if you'd like, but at least for me google docs is willing to show a searchable preview! Just hit ctrl+F and type in the ship you're looking for.

Keep in mind that these are mostly** going to be listed the way the canonical tag appears on AO3, i.e. "Blake Belladonna/Yang Xiao Long" will get a hit, but "Yang Xiao Long/Blake Belladonna" is not in the giant text file at all.

**(I did get rid of parentheticals clarifying the fandom, i.e. "Summer Rose (RWBY)/Reader" is listed as just "Summer Rose/Reader")

Also, these are sorted by tag ID, so this is (I think???) a list of every ship tag in this fandom in chronological order of when they were first tagged, since the tag IDs are assigned sequentially.

*(this file contains every single ship to the best of my knowledge. I probably did miss some and I could only scrape the ones that had already been created at the time but. but.

Amber/Ilia Amitola/Blake Belladonna/Maria Calavera/Elm Ederne/Pyrrha Nikos/Penny Polendina/Ruby Rose/Salem/Weiss Schnee/Ciel Soleil/Emerald Sustrai: 101267707

but I REALLY DID GET A LOT)

so uh. yeah! someone take python away from me askjdflskjdf