#Walmart With Python

[iwebscrapingblogs]

This tutorial blog helps you understand How to Extract Product Data from Walmart with Python and BeautifulSoup. Get the best Walmart product data scraping services from iWeb Scraping at affordable prices.

For More Information:-

[sporesgalaxy]

dream last night.....weird......there was a performing family of clowns but really only some of them were family and the rest were being hired and didnt even seem to know the rest were a family.....and it turned out the family was a bunch of fundamentalist christians who wanted to teach fundamentalist christian values to children through whimsical clown skits......imporrant context for this is that i really like clowns so i was very distraughtto see clown whimsy manipulated for such a means.......and me and a friend were stuck in this place with them in the middle of nowhere for a while........and i got really mad at them for being assholes and acting like it was gods will for them to be that way and i yelled a lot at one point.....and that clearly ticked the controlling patriarch of the family off a lot so then me and the friend had to run away and we ended up in some other place that was still in the middle of nowhere and it was kinda dirtier....and then it turned out that our neighbor (lived outdoors not in a house, but next to the place we were in) was a bug prince or a centipede prince or something and he'd taken a human wife to become the king and they were very happy together except that since bugs have a lot of babies at once and they are very very small the bug queen was always worried about her kids getting hurt or lost because there were like literally hundreds of them and they all start out as really really tiny centipedes. her royal guard were ants-- normal sized ants. so they could help take care of the tiny babies. but the queen was a normal sized human person so she couldnt really do much but she loved her children very much and wanted to do whatever she could to show them her love. i never got to see the bug/centipede king in person so i dont know if he was normal bug sized or what. I know I saw some of the queens older kids later and they were centipedes the size of like big pythons but i wasnt sure if that was because the bug king was big or because the centipedes were becoming human sized since their mom was a human. getting to know the bug queen and her kids was lovely but my friend and i were being followed by the fundamentalist christian clown performer family the whole time which was disappointing. We had to ditch our new living space to get away from them and so i started just eating all the leftover food we had before we ran off. no i dont remember a single detail about the friend i was with, whether they were a real person i know or made up, nothing, just that there was a second person there. we went to walmart a lot of times.

[kirbykonka]

Stone Ocean things I would have liked to see, as a Floridian:

—forgetting that it’s winter because it’s literally 70 degrees. 80 degrees on Christmas isn’t uncommon but it is disappointing every time it happens

—blaming deaths on not just alligators, but also pythons (works well around the Everglades)

—the fashion sense of the characters actually isn’t that far off

—they must say “y’all”

—unless it’s in South FL you’ll be seen as a traitor

—walking outside in summer and being hit with a miasma of mosquitos and heat and moisture that will make you feel like you’re being eaten alive (because you are being eaten alive)

—hitting someone with your car is so easy with wet roads

—FL judicial system is on fleek and after all the crazy shit people do lawyers are so done with us

—strip malls. No one goes there except middle aged mothers shopping for shoes or perfume.

—The real teenage hangout place is Walmart. I am not joking. I have been there many times after school and on weekends and every single time we’d go there were other kids our age.

—we don’t even buy anything most times we just walk around

—everyone is poor af unless you’re south (Miami and the Keys)

—in Miami/Tampa/Jax or any big city people also won’t go to strip malls because there’s a 50/50 on whether or not they get shot up

—we hunt pythons seasonally since they are invasive, you can win prizes for this. I feel like Jolyne and Ermes would enjoy that hobby

—four-wheeling. More of a southern USA thing as a whole, but there are miles of open tracks to take your ATV out to. Very fun with friends where you can race and see who DOESNT stall their four wheeler in a lake

—snakes in the backyard, they’re EVERYWHERE. Could have been so easy for them to chase an albino Burmese python thinking it was White Snake 😭

—toads coming out at the beginning of spring and making every little kid so happy that they have prey again, Emporio is def a frog hunter

—when the toads are hibernating we go after lizards instead, Emporio again is def a lizard hunter

—the monkeys loose in the woods. I’ll let you research that on your own.

—thrift stores are full of winter clothing because of all the northerners who migrate down here, Weather Report must have gotten only those 💀

—you’ll know a prison is nearby because there will be a road sign saying “don’t stop for hitchhikers”

—There is no such thing as a clean beach

—marshland is more common than dirt

—“dirt” here is basically just sand there are zero minerals in it so it’s hella hard to farm

—DUST. EVERYWHERE. BUT ITS ALSO SO HOT YOULL DIE. BUT ITS ALSO WET SO YOULL MELT.

—humidity is constantly over 80%, that means you’re going to sweat no matter what you do

—and for last, the Florida man “memes” aren’t memes at all. That’s actually what people are like here. We have had kids expelled for slashing tires, we have had people arrested for driving gaming chairs, we have had snakes eat people whole.

Florida is literally hell itself.

And we are all so proud to be here.

This has been my Floridian PSA, thank you for reading 🥰

[scremb]

Midwest USA drive thru goth girl sweetheart Miku and rich kid libertarian anarchist Jinx

they are both severely traumatized. they've been dating since sophomore year of high school. they're back together after their umpteenth breakup. Miku is saving up to become a massage therapist. Jinx is a business major because her dad wouldn't pay for any other degree. she skips class to teach herself Python in the computer lab. their apartment has black mold. the building's laundry room has a wolf spider problem. there's a Crisis Pregnancy Center 2 blocks up the road. neither of them have health insurance. Miku smokes weed at a friend's house cuz THC interacts poorly with Jinx's psychosis. Jinx has been sober off alcohol for two years and having an awful time. they're both allergic to corn. there's four walmart supercenters within a 15 minute drive. there are no sidewalks. they can hear the highway from their bedroom window. the wind picks up the scent of asphalt and cow manure on hot days. Miku is dyslexic.

obligatory don't repost or be cursed with corn

[themanedbish]

Susan Goes to the Pharmacy.

Susan rubbed her temples as she paced back and forth in her room, wondering how Nora could've let it get this bad. None of the medications were stocked, including the Sertraline they need to function without having a full-blown breakdown. She looks over their (forged) medical records, putting them in her bag in case she needs them. She had already called the pharmacy, but it had been days since they took their medication, and it made living difficult. Usually, she'd have no trouble writing lines of Python script or filling out necessary forms, but lately, everything felt.. futile. Everything is falling apart, so why try at all, right? Luckily, before she could spiral any further, she got a call from the pharmacy. She just has to get their medication and come back. Everything is going to be fine. That's what she told herself, yet she couldn't stop the growing sense of dread, like something bad was going to happen soon. She wasn't sure if the dread was from her, or Nora, or everyone in headspace, but she had to push through. She didn't want to think about what would happen if she didn't.

Susan teleports herself from the safety of home to one of the aisles of Walmart, figuring that was the best way to avoid interaction with any unnecessary people, while also making the trip to and from the pharmacy easier. Her plan is successful at first, being able to get into the line at the pharmacy without much issue, but once she's at the counter, she feels the dread creep into her very soul, freezing her on the spot. The lady at the counter looks up from her computer, and asks a simple question.

"Name and date of birth?"

She should be able to answer this, she knows her own name! Yet she's unable to speak, the only thing coming out being a small squeak. She covers her face with her hands, hearing the lights and the footsteps and the clickclacking of a mouse, and it all feels like too much to handle. She wants to scream, to cry, but she isn't safe here, she isn't home, she can't-

A voice breaks through her panicked thoughts, calm and non-judgemental.

"Are you, by chance, Susan Smith? Give a thumbs up if yes, and a thumbs down if not."

The voice grounds her to reality. That's her name, and this is the person that is going to help them. She gives a thumbs up.

"Do you have something to confirm your identity?"

She gives another thumbs up and pulls out her id and medical records. The lady behind the desk nods, hands Susan her id and records back, and she grabs a stapled bag with her name on it. Susan signs [thank you] to the lady at the counter, gives her money for her time, and leaves the scene. The lights were still too bright and loud, the footsteps still echoed, and all she wanted was to go home.

[waflof]

Lord I have a long way to go.

Just spent 1 hour googling and falling down a rabbit hole of things I don't know about, while trying to install the Linux mint os onto my computer.

Only to find out I need to burn an iso image onto a USB stick before I can boot anything.

Ughhhh I hate being a lil computer knowledge tadpole. I just started learning python for fun a few months ago and I'm taking cybersec classes.

The more i learn the more i realize there is an incredibly vast ocean of computer science and cybersecurity knowledge I am ignorant of.

Can't wait to amend that >:3

Gotta go to my local capitalist hell hole(walmart) to buy a usb stick first though.

[i-m-snek]

Are those super big plastic tubs that are meant for storage (the clear ones, tall enough to have climbing space and stuff too) ok and ethical for ball pythons or?

They are! :) As long as you put proper ventilation (You can drill holes or use a solder tool to melt holes, very small ones but enough for air flow) they work great! This is actually a good season for that, as the Christmas Tree totes they sell at Walmart and Target (If you're in the US) are the perfect size for adult ball pythons :)

[transkeiichi]

btw if u think bringing an animal like a snake or a spider that are extremely common animals for people to be terrified of into a place of business surrounded by other people you are 100% a fucking asshole if u want them as pets then by all means but if i cant bring my cat into walmart then for christs sake dont bring your fucking python into a car dealership you fucking lunatic

[dramamath]

tag game— spelling out your URL with songs! I was tagged by @purplemuskrat. I will follow my friend's lead and add some commentary. It took me a few days to consider the options, but I like my collection of songs. I think they fit me quite well.

Drowning by Joe Jackson - I connected with this song when Joe Jackson released his album Laughter & Lust in 1991. It rattled around in my brain looking for a cause, which it would find in 2005. At the time, I had just wrapped up my 11th play as a high school director and although I was looking forward to the next show, I realized that my darling bride was pregnant, we would soon have four kids under the age of 6, and I needed to step away to spend as much time as possible at home. The drowning in this song refers to the end of a romantic relationship. However, as I sat on an empty stage, the lyrics took on a new meaning. "I don't love you, but I'm lost," are the opening words. I realized that, in that moment, I didn't have the deep love of theatre that had been central to my being, but felt lost in the need to walk away from it. This song made it easier to do just that, until I was ready to return.

Root Beer Rag by Billy Joel - From his 1974 album Streetlife Serenade, this instrumental is lively and witty and just picks you up and carries you with it. It is a beautiful marriage of Rock and Ragtime as you will ever find.

All Along the Watchtower arranged by Bear McCreary - Originally written and recorded by Bob Dylan in 1967 and memorably recorded a year later by the Jimi Hendrix Experience, this version that was an integral part (in instrumental form) in the latter half of season 3 of the Battlestar Galactica reboot, its full exposure in the final episode of that season was haunting as many hinted secrets were revealed. I get chills anytime I hear it.

Make Me Smile by Chicago - This song begins a seven-song cycle which the band refers to as Ballet for a Girl in Buchannon (Make Me Smile - So Much to Say, So Much to Give - Anxiety's Moment - West Virginia Fantasies - Colour My World - To Be Free - Now More Than Ever) from the 1970 double album Chicago II lays out the story of composer and the band's trombonist and his attempt to win back the love of his ex-fiancé.

Accountancy Shanty by Monty Python - Formally known as The Crimson Permanent Assurance, this song is from a short film that opened Monty Python and the Holy Grail. It speaks well for my love of absurdist humor.

Maybe I'm Amazed by Paul McCartney - From his 1970 debut solo album, the lyrics just haunt me. "Maybe, I'm amazed at the way you love me all the time/And maybe I'm afraid of the way I love you." I thought about these words when my darling bride asked me, after six years of friendship, why I had never asked her out.

Alive by Hiromi - A jazz pianist, this song opens her 2014 album of the same name. The song grabs you by the lapels of the jacket you are wearing and won't let go until you are fully engrossed in the journey.

Take Her to the Mardi Gras by Harry Connick Jr - I feel lucky that I purchased the 2007 album Oh My NoLa from Walmart, because this track was only placed on copies of the CD sold in those stores. It is another "hold on tight and don't let go" kind of song ... one I wish was available for karaoke, because I would be on that stage in a heartbeat.

Hearts by Yes - Truth be told, I could have probably done this entire list with nothing by music from Yes. They have invented and reinvented themselves for 50 years. Again, it is the lyrics that just haunted me upon first listen. "Set your heart sail on the river (Hearing)/Look around you as you drift downstream (Talking)/Pouring souls into the ocean (Love you)/Take account of all you've seen."

If you have made it this far, I hope you enjoyed my journey and perhaps, find yourself a new song to put into your rotation. Thank you, purplemuskrat, for the inspiration.

[crawlxpert01]

Scraping Grocery Apps for Nutritional and Ingredient Data

Introduction

With health trends becoming more rampant, consumers are focusing heavily on nutrition and accurate ingredient and nutritional information. Grocery applications provide an elaborate study of food products, but manual collection and comparison of this data can take up an inordinate amount of time. Therefore, scraping grocery applications for nutritional and ingredient data would provide an automated and fast means for obtaining that information from any of the stakeholders be it customers, businesses, or researchers.

This blog shall discuss the importance of scraping nutritional data from grocery applications, its technical workings, major challenges, and best practices to extract reliable information. Be it for tracking diets, regulatory purposes, or customized shopping, nutritional data scraping is extremely valuable.

Why Scrape Nutritional and Ingredient Data from Grocery Apps?

1. Health and Dietary Awareness

Consumers rely on nutritional and ingredient data scraping to monitor calorie intake, macronutrients, and allergen warnings.

2. Product Comparison and Selection

Web scraping nutritional and ingredient data helps to compare similar products and make informed decisions according to dietary needs.

3. Regulatory & Compliance Requirements

Companies require nutritional and ingredient data extraction to be compliant with food labeling regulations and ensure a fair marketing approach.

4. E-commerce & Grocery Retail Optimization

Web scraping nutritional and ingredient data is used by retailers for better filtering, recommendations, and comparative analysis of similar products.

5. Scientific Research and Analytics

Nutritionists and health professionals invoke the scraping of nutritional data for research in diet planning, practical food safety, and trends in consumer behavior.

How Web Scraping Works for Nutritional and Ingredient Data

1. Identifying Target Grocery Apps

Popular grocery apps with extensive product details include:

Instacart

Amazon Fresh

Walmart Grocery

Kroger

Target Grocery

Whole Foods Market

2. Extracting Product and Nutritional Information

Scraping grocery apps involves making HTTP requests to retrieve HTML data containing nutritional facts and ingredient lists.

3. Parsing and Structuring Data

Using Python tools like BeautifulSoup, Scrapy, or Selenium, structured data is extracted and categorized.

4. Storing and Analyzing Data

The cleaned data is stored in JSON, CSV, or databases for easy access and analysis.

5. Displaying Information for End Users

Extracted nutritional and ingredient data can be displayed in dashboards, diet tracking apps, or regulatory compliance tools.

Essential Data Fields for Nutritional Data Scraping

1. Product Details

Product Name

Brand

Category (e.g., dairy, beverages, snacks)

Packaging Information

2. Nutritional Information

Calories

Macronutrients (Carbs, Proteins, Fats)

Sugar and Sodium Content

Fiber and Vitamins

3. Ingredient Data

Full Ingredient List

Organic/Non-Organic Label

Preservatives and Additives

Allergen Warnings

4. Additional Attributes

Expiry Date

Certifications (Non-GMO, Gluten-Free, Vegan)

Serving Size and Portions

Cooking Instructions

Challenges in Scraping Nutritional and Ingredient Data

1. Anti-Scraping Measures

Many grocery apps implement CAPTCHAs, IP bans, and bot detection mechanisms to prevent automated data extraction.

2. Dynamic Webpage Content

JavaScript-based content loading complicates extraction without using tools like Selenium or Puppeteer.

3. Data Inconsistency and Formatting Issues

Different brands and retailers display nutritional information in varied formats, requiring extensive data normalization.

4. Legal and Ethical Considerations

Ensuring compliance with data privacy regulations and robots.txt policies is essential to avoid legal risks.

Best Practices for Scraping Grocery Apps for Nutritional Data

1. Use Rotating Proxies and Headers

Changing IP addresses and user-agent strings prevents detection and blocking.

2. Implement Headless Browsing for Dynamic Content

Selenium or Puppeteer ensures seamless interaction with JavaScript-rendered nutritional data.

3. Schedule Automated Scraping Jobs

Frequent scraping ensures updated and accurate nutritional information for comparisons.

4. Clean and Standardize Data

Using data cleaning and NLP techniques helps resolve inconsistencies in ingredient naming and formatting.

5. Comply with Ethical Web Scraping Standards

Respecting robots.txt directives and seeking permission where necessary ensures responsible data extraction.

Building a Nutritional Data Extractor Using Web Scraping APIs

1. Choosing the Right Tech Stack

Programming Language: Python or JavaScript

Scraping Libraries: Scrapy, BeautifulSoup, Selenium

Storage Solutions: PostgreSQL, MongoDB, Google Sheets

APIs for Automation: CrawlXpert, Apify, Scrapy Cloud

2. Developing the Web Scraper

A Python-based scraper using Scrapy or Selenium can fetch and structure nutritional and ingredient data effectively.

3. Creating a Dashboard for Data Visualization

A user-friendly web interface built with React.js or Flask can display comparative nutritional data.

4. Implementing API-Based Data Retrieval

Using APIs ensures real-time access to structured and up-to-date ingredient and nutritional data.

Future of Nutritional Data Scraping with AI and Automation

1. AI-Enhanced Data Normalization

Machine learning models can standardize nutritional data for accurate comparisons and predictions.

2. Blockchain for Data Transparency

Decentralized food data storage could improve trust and traceability in ingredient sourcing.

3. Integration with Wearable Health Devices

Future innovations may allow direct nutritional tracking from grocery apps to smart health monitors.

4. Customized Nutrition Recommendations

With the help of AI, grocery applications will be able to establish personalized meal planning based on the nutritional and ingredient data culled from the net.

Conclusion

Automated web scraping of grocery applications for nutritional and ingredient data provides consumers, businesses, and researchers with accurate dietary information. Not just a tool for price-checking, web scraping touches all aspects of modern-day nutritional analytics.

If you are looking for an advanced nutritional data scraping solution, CrawlXpert is your trusted partner. We provide web scraping services that scrape, process, and analyze grocery nutritional data. Work with CrawlXpert today and let web scraping drive your nutritional and ingredient data for better decisions and business insights!

Know More : https://www.crawlxpert.com/blog/scraping-grocery-apps-for-nutritional-and-ingredient-data

[iwebscrapingblogs]

How to Extract Product Data from Walmart with Python and BeautifulSoup

In the vast world of e-commerce, accessing and analyzing product data is a crucial aspect for businesses aiming to stay competitive. Whether you're a small-scale seller or a large corporation, having access to comprehensive product information can significantly enhance your decision-making process and marketing strategies.

Walmart, being one of the largest retailers globally, offers a treasure trove of product data. Extracting this data programmatically can be a game-changer for businesses looking to gain insights into market trends, pricing strategies, and consumer behavior. In this guide, we'll explore how to harness the power of Python and BeautifulSoup to scrape product data from Walmart's website efficiently.

Why BeautifulSoup and Python?

BeautifulSoup is a Python library designed for quick and easy data extraction from HTML and XML files. Combined with Python's simplicity and versatility, it becomes a potent tool for web scraping tasks. By utilizing these tools, you can automate the process of retrieving product data from Walmart's website, saving time and effort compared to manual data collection methods.

Setting Up Your Environment

Before diving into the code, you'll need to set up your Python environment. Ensure you have Python installed on your system, along with the BeautifulSoup library. You can install BeautifulSoup using pip, Python's package installer, by executing the following command:

bashCopy code

pip install beautifulsoup4

Scraping Product Data from Walmart

Now, let's walk through a simple script to scrape product data from Walmart's website. We'll focus on extracting product names, prices, and ratings. Below is a basic Python script to achieve this:

pythonCopy code

import requests from bs4 import BeautifulSoup def scrape_walmart_product_data(url): # Send a GET request to the URL response = requests.get(url) # Parse the HTML content soup = BeautifulSoup(response.text, 'html.parser') # Find all product containers products = soup.find_all('div', class_='search-result-gridview-items') # Iterate over each product for product in products: # Extract product name name = product.find('a', class_='product-title-link').text.strip() # Extract product price price = product.find('span', class_='price').text.strip() # Extract product rating rating = product.find('span', class_='stars-container')['aria-label'].split()[0] # Print the extracted data print(f"Name: {name}, Price: {price}, Rating: {rating}") # URL of the Walmart search page url = 'https://www.walmart.com/search/?query=laptop' scrape_walmart_product_data(url)

Conclusion

In this tutorial, we've demonstrated how to extract product data from Walmart's website using Python and BeautifulSoup. By automating the process of data collection, you can streamline your market research efforts and gain valuable insights into product trends, pricing strategies, and consumer preferences.

However, it's essential to be mindful of Walmart's terms of service and use web scraping responsibly and ethically. Always check for any legal restrictions or usage policies before scraping data from a website.

With the power of Python and BeautifulSoup at your fingertips, you're equipped to unlock the wealth of product data available on Walmart's platform, empowering your business to make informed decisions and stay ahead in the competitive e-commerce landscape. Happy scraping!

[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

[marcholasmoth]

OSRR: 3926

i'm going to proceed as normal until i have time to catch up.

it's fine.

today i got up early because i remembered late last night that i had to proctor this morning, so i got up early and got showered and did a few things and then took off. i went to walmart before heading to work though - my popsocket magnet came out (it's a knockoff popsocket, that's why) so i've been living without a handle and i feel like a dingus without it. i've been managing, but i wanted to get a new one. i didn't find one.

i stopped at starbucks and it seems like they're discontinuing the vanilla custard danishes, and i'm so sad. it's my favorite thing on the menu. why they gotta get rid of my favorites. this is the second time. first was the ham, egg, and swiss on a croissant roll, and now my sweet flaky danish?? i'm taking this up with corporate.

proctoring went well! i had two students come, and i managed to not do a single bit of homework. but they finished around 11, so i was able to leave earlier than expected. mom needed me to pick her up from the tire place, so i called her and said i was on my way and headed down.

after picking her up, we stopped for mcnaldos for lunch and were about to park to feed de bords when chels called and said the door guy was here and dad was not. (we're getting storm doors.)

so we raced home only to arrive once the guy had already finished up. but we arrived home in time to get mom's new office chair, for which she paid 97 cents because of money on her staples account, and the air mattresses i got for her and aunt wendy from amazon for their upcoming trip to see my brother in connecticut.

that was all well and good. and i made my way into the other room to sit and do homework and be in chelsea's space.

and i stayed there for the rest of the day, working on homework.

something finally clicked today as i watched a video. i think part of it was yesterday when chelsea told me she'd experienced coding being difficult and never wanting to see a loop again.

but at some point, chelsea sat down with me and started helping me. even though she doesn't know python, she knows coding, and languages are similar enough that all you need is syntax to do the same thing in multiple languages. you know what to look for, so it makes it easier.

but i expressed to chelsea that this whole goddamn semester has been so fucking hard and that i've been struggling from day one because i haven't been able to get people to explain things to me in a way i understand. she sympathized. and she told me, "this shit is hard." and i immediately broke down into tears.

the whole semester, every single person i've asked for help has said "python is so easy" and i have struggled with even the simplest concepts. none of the help from other people has helped, which is why i turned to Gemini for help, both to write out the code and to explain it to me like im seven. because other people couldn't do that, and i kept getting frustrated. every person i worked with spent hours with me, and i didn't understand a damn thing. i figured they and chelsea had better things to do with their time than waste it on me when i wouldn't understand it anyway, so i gave up.

but chelsea sitting with me and telling me that "yes, coding IS hard" and encouraging me to keep going and breaking down things into pieces i could understand made the entire world of difference.

this final assignment i'd had gemini write something up for me. chelsea said to save it somewhere and then write it myself. and she sat with me and explained things to me so i understood them and could recreate them. and it took us two hours or so, but we got it coded. we wrote the assignment out.

i feel reaffirmed in my dislike for AI, as well. i didn't like it before. i only used gemini for coding because it can do that and it can give you workable code. and now that i know i don't have to use it but can try to think it through myself instead, i feel better about things.

chelsea also encouraged me to eat dinner and she got me to take a break and get ice cream while i was working. and i was able to finish it up and finish the questions and write my journal for it and make my video and i saved and submitted it and my python class is done.

i'm going to download the resources and stuff and go back and see if i can do the assignments myself so i can practice and not just memorize aspects of things. so that was all good.

and i sat and looked at the data for my data analytics assignment, and i manipulated the data in excel and decided what i want to do with it, mostly.

but this is also where deciding what to do and trying to translate it into coding comes into play. i have nine seasons of the office worth of imdb ratings and numbers. so i want to make a chart of the ratings for each episode with each season in a different color, and i want to do number of ratings per episode as well, and i want to compare the rating to the number of ratings per episode and see if there's an overall correlation, and i want to display averages and see if there are trends over the seasons.

it's kinda cool. i want to make mockups of the graphs by hand first so i can try to figure out what do so.

OR i could do a bubble graph, with the location describing the rating and the size of the bubble describing the number of ratings. i kind of want to do that but i think i'd have to do one season at a time for that. it's a lot of information. but i'm excited to look at it and solve it tomorrow.

i'm fucking tired.

i miss joel.

i ordered stuff that's going to be delivered there tomorrow. so i plan on finishing my homework and then going over there.

i can't help but feel like i'm missing something that joel has to be at tomorrow. it could've been last weekend though.

but also i registered for that conference in june, and im excited to get to go. it was Expensive. i hope i get a job out of it, or at least some contacts. i'm considering apprenticeships or internships instead of jobs despite needing the money. it sucks, but i might be able to take classes part time consistently and pay in cash so i don't have to pay my loans quite yet. part-time job and internship and classes makes me feel like i'm 21 again.

i don't like it. it's fine. i'm just already burnt out. nbd.

[krmangalam1011]

B.Tech. CSE Data Science: Course Details, Eligibility Criteria and Fees

Struggling to find the right college for B.Tech. CSE Data Science but ain’t finding any suitable option? Hold On! We have got a permanent solution for this concern. Choose K.R. Mangalam University to pursue this course and build a spectacular career. We have been a premium education institution in Delhi-NCR and a majority of students prefer us to establish a successful career in the field of data science. 

If you’re someone who’s looking forward to learning about algorithm development, data inference and technology then this course is the right fit for you. Read further to learn about the prominent factors related to this programme and enrol now for a better tomorrow. 

B.Tech. CSE Data Science Course Highlights 

Although there are numerous best data science courses in India, still B.Tech. CSE (Data Science) with Academic Support of IBM tops the charts amongst all for a variety of reasons which are: 

Learn From Top IBM Experts

Informative Curriculum

Availability Of 1:1 Mentorship Session 

Scholarships and Education Loans 

Well- Equipped Laboratories

Guaranteed Placement Support

Financial Assistance For Startup

Data Science Bachelor Degree​ Eligibility Criteria

You must meet the necessary eligibility requirements if you’re interested in pursuing B.Tech. CSE Data Science at KRMU. The general criteria are as follows:

You must have passed the 10+2 examination with Physics and Mathematics as compulsory subjects.

For the remaining course, choose from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognised board/university with a minimum 50% aggregate overall. 

B.Tech. CSE Data Science Course Details 

Course Name: 

B.Tech. CSE (Data Science) with Academic Support of IBM

Course Type:

Undergraduate 

B.Tech. CSE Data Science Course Duration:

4 Years 

Study Mode:

Full-Time 

Programme Fee Per Year:

Rs 2,50,000/- (as of 22nd March 2025) 

Admission Procedure:

Written Test + Personal Interview 

Career Opportunities:

Data Science Developer, Data Developer, Machine Learning Engineer, Business Intelligence Analyst, Data Science Consultant 

Course Outcome:

Analyse critical problems, Application of contextual knowledge, Communicate complex engineering concepts, Efficiently manage CS projects 

Top Recruiters:

Deloitte, Wipro, Star Sports, Axis Bank, Walmart, Flipkart 

Career Scope after B.Tech. CSE Data Science

With time, there has been significant evolution in the field of data science. Seeing this progress, the maximum number of students are diverting towards this field to secure a decent job with a competitive pay scale. Some of the top job opportunities are: 

Data Analyst 

Statistician 

Data Engineer 

Application Architect 

Risk Management Analyst 

Market Research Analyst 

Tableau Developer 

Database Administrator 

Conclusion 

Currently, B.Tech. CSE Data Science is one of the most sought-after programmes as it offers amazing job opportunities to students. Additionally, this course also equips the students with effective communication, critical thinking, problem-solving and decision-making skills. With a combination of all these factors one becomes highly confident in implementing different types of scientific methods for extracting information from structured and unstructured data. Choose KRMU to pursue this course and give a successful launchpad to your career. 

Frequently Asked Questions 

Which is the best college for B.Tech. CSE  in Data Science in Delhi NCR?

K.R. Mangalam University is the top university due to its cutting-edge facilities, comprehensive curriculum, 700+ recruitment partners, guaranteed placement etc. 

What subjects are taught in  B.Tech. CSE in Data Science? 

In 8 semesters, students will learn about engineering with calculus, clean coding with Python, java programming, operation systems, usage of AI in cyber security and many other aspects related to data science. 

How much a student will earn after studying  B.Tech. CSE  in Data Science? 

As it’s one of the popular fields, students earn a spectacular salary after graduating from this course. On average the salary in this field starts at 8 LPA and goes up to  16 LPA depending on job profile, work location and organisation. 

[syrinq]

bearer of the curse in a way i forget all coding syntax despite having it done more than the average person by the following:

baby's first code is delving into tumblr themes and tweaking it to your liking the more you switch themes. also the ancient old custom boxes from deviantart. i miss you so babygirl

whatever the fuck tweaking c++ values is with the dumpster fire of (bethesda) games

idk how tf i made a relatively good first ever attempt at a game with fucking unreal engine blueprint in uni but somehow i did

tweaked to fully modified a toyhouse premium template (css/html/bootstrap) to my tastes, to the point i might as well have written it myself

converted/merged above code into other languages multiple times to make it a) work without premium (no css), b) work on a walmart wiki (tumblr blog), c) work on neocities by splitting & writing new css/html/jscript files albeit briefly because d) building it with templates and an SSG like astro fits my needs better

i Get why layout builders like weebly and carrd exist but fuck me neocities is so fucking good i'm going to pass away. i love customisation and i'm going to jork it violently

crash course into several pyramid schemes of frameworks and proceed to lose my mind and die

also die because x program is better for y language and z framework. then you proceed to install 3920282 programs you use for about 2 weeks and then forget again. but hey i guess i can start up localhost now instead of horribly failing at editing neocities pages

i just really like layouts. i love importing a template and then tweaking individual fucking values the way i need em to so i can make my oc world in the microwave radiate its signals outside the kitchen

wrote several own profile/folder/mockup codes inspired by toyhouse codes <- what can i say. i am fascinated by the humble button and the carousel

yayyy i love responsive ui i looove mobile friendly webbed sites i looove beating the shit out of bootstrap code by giving recurring elements their own fucking style.css and thus shortening justify-content-xl-between and rounded-circle border-0 background-faded to a single word class yayyy yippee ^_^

slightly delved into java for hypothetical entertaining thought of minecraft modding & i guess i can read it better now alongside python. but object programming stinks ass in the way to tell everything you're x and you have sexual relations with files y, z & the rest of the alphabet. webdev import is so sexy actually

[tvshowsdvdset0]

Examining 'Becker' and Additional Old TV Shows on DVD

Examining 'Becker' and Additional Old TV Shows on DVD Gathering tangible copies of becker TV series on DVD has special benefits in the current digital age, when streaming services rule. DVDs provide us a sense of physical possession, exclusive features, and a nostalgic link to our favorite shows. The sitcom "Becker," which is still popular with viewers, is one such gem.

"Becker": A Synopsis of the Series Ted Danson played Dr. John Becker, a sarcastic doctor who acts patients in the Bronx, in the 1998–2004 television series "Becker." Because it expertly combined humor with mournful moments, the sitcom stood out in its category.

Where Can I Buy "Becker" on DVD?  Here are several choices for anyone who want to own the entire series. :  Becker: The Whole Boxed Set of the Series  This package, which spans 17 CDs and contains all 129 episodes, is available on Amazon.  It includes unique content such as a humor reel and interviews.  ​ Becker: The Complete Series Offered on Walmart, this 17-disc set provides all episodes along with bonus content such as cast interviews and a gag reel. ​ Additional Vintage TV Series on DVD In addition to "Becker," a number of other great TV shows on DVDs have had a significant influence: In 1976, "The Muppet Show" was a variety event that featured celebrity guests and Muppet performances. The first three seasons, filled with great humor and ingenuity, are available on DVD. Its spooky soap opera "Dark Shadows" (1966–1971) captivated viewers with its eerie tale. The series maintains its cult image through being accessible through an array of media channels.

"Monty Python's Flying Circus": A groundbreaking sketch-comedy series known for its absurd and satirical humor. The Complete Monty Python's Flying Circus Collector's Edition is available on DVD, featuring the show's full library and bonus content. In conclusion  A combination of nostalgia and high-caliber pleasure can be found when watching old TV series on DVD.  "Becker" is proof that memorable sitcoms can keep audiences interested.  DVD collections offer a rich tapestry of stories just waiting to be discovered, whether you're reliving old favorites or finding new ones.

Becker TV Series On DVD