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Datahut Blog
A blog for people & companies looking to make a big business impact with data acquired using web scraping and web crawling. Learn the best practices, business use cases, legality, and how you can do your job better with data.
Recommended Posts


Y Combinator 2025: How AI is Reshaping Startups and Markets
In 2025, over 72% of new startups in Y Combinator are powered by artificial intelligence , signaling a seismic shift in how technology is...
Aarathi J
Apr 96 min read


Why Every Amazon Seller Must Scrape Their Competitor’s Reviews
Monitoring your product’s reviews is incredibly useful to assess customer satisfaction and identifying areas of improvement.
Ashmi Subair
Mar 1111 min read


Scraping Decathlon using Playwright in Python
Decathlon is a rеnownеd sporting goods rеtailеr that offеrs a divеrsе rangе of products, including sports apparеl, shoеs and еquipmеnt....

Thasni M A
May 5, 202313 min read


How to Build an Amazon Price Tracker using Python
How to build an amazon price tracker Everybody loves to get their products on amazon at their lowest prices. I have a bucket list full of...

Tony Paul
Jul 22, 20228 min read


Scaling Web Scraping: From Prototype to Production Challenges Explained
Why Scaling Web Scraping Is Harder Than You Think Web scraping is the automated process of extracting structured data from websites. It plays a vital role in data collection, market intelligence, competitive analysis, and AI-powered business strategies . Building a prototype scraper is relatively simple—most developers can set one up with Python and BeautifulSoup in a day. But scaling that prototype to handle millions of pages across multiple geographies introduces serious
Aarathi J
Oct 144 min read


How Can Web Scraping Help Extract Refrigerator Data from Best Buy ?
When it comes to electronics in the U.S., Best Buy is one of the biggest and most familiar names. Their online store has a huge range of home appliances, and refrigerators make up a big chunk of that—everything from compact, space-saving models to smart fridges that connect to Wi-Fi and even have screens on the front. At first glance, collecting all this product information might seem simple. You might think, “Just write a script, grab the data, and you're done.” But in reali
Shahana farvin
Jul 129 min read


How to Maintain Anonymity When Web Scraping at Scale: Expert Tips
Maintaining anonymity while web scraping at scale requires a combination of technical measures and strategic planning. Below is a structured guide covering proxy usage, request obfuscation, headless browsing with anti-detection, fingerprint avoidance, scalable infrastructure, defeating anti-scraping measures, and adaptive strategies. Each section includes best practices, examples, and tool recommendations to help keep your scraping activities anonymous and efficient. Managing

Tony Paul
Mar 2014 min read
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