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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.
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The Short Shelf Life of Open Source Web Scraping Tools (And Why Scale Breaks Them)
Picture this: Your team builds a beautiful internal scraping platform using Open Source libraries. It scrapes 20 e-commerce sites, powers dashboards, feeds pricing models… and becomes part of your company’s heartbeat. You scale from 10K → 100K → 1M pages per day . Suddenly: your prices stop updating your stock signals lag your competitor feeds look “too perfect” your alerts never fire your data scientists complain about anomalies and your engineering team starts firefighting
tony56024
Dec 10, 20259 min read
Top 10 GDPR Fines in 2018 to 2025: A Data-Driven Analysis
Introduction Yes, it’s over — the era of unchecked data collection, silent tracking, and unaccountable digital practices. The General Data Protection Regulation (GDPR) ended it for good, redefining how organizations collect, process, and protect the personal data of European Union citizens. A decade ago, user information was traded, tracked, and monetized with little scrutiny; privacy was an afterthought, not a business priority. That changed in 2018 with the enforcement of
Navin Saif
Nov 11, 20257 min read
Web Scraping Without Getting Blocked Using curl-cffi
Learn how to perform web scraping without getting blocked using curl-cffi. Discover how this Python library helps you bypass anti-bot systems, mimic real browsers, and ensure smoother, more reliable data extraction.
tony56024
Oct 17, 20257 min read
How to Scrape Product Data from Amazon US?
Introduction Ever tried shopping for vlogging equipment on Amazon? It's overwhelming. You've got thousands of microphones, cameras, and tripods to choose from, and manually comparing them all would take forever. That's exactly why I built this web scraping system - to automatically collect and organize all that product data so you can actually make informed decisions. This project shows you how to build a complete two-phase scraping system that systematically extracts vloggin
Shahana farvin
Oct 9, 202524 min read
Build vs Buy Web Scraping in 2026: The Definitive Guide for Data Teams
Why I’m Writing This As a founder, I speak with product teams, data leaders, and operators every week. One question comes up with almost boring consistency: “Should we build our own scraping stack, or should we buy?” This build vs buy web scraping debate is often framed as a tooling choice. In reality, it’s a strategic decision about where your most expensive and scarce resource—engineering time—should be spent. I’ve watched teams burn months building scraping infrastructure
Tony Paul
3 days ago10 min read
Amazon Menstrual Cup Category Analysis: What Shoppers Prefer & How Brands Compete
Menstrual cups are no longer a niche product. As more consumers look for sustainable and cost-effective menstrual hygiene solutions, Amazon has become a key marketplace for discovering, comparing, and purchasing menstrual cups. But with hundreds of brands, wide price variations, heavy discounts, and thousands of reviews, how do shoppers actually decide which menstrual cup to buy? To answer this, we scraped real Amazon menstrual cup listings and analyzed pricing, discou
Anusha P O
Dec 18, 20258 min read
How to Scrape Ethos Product Data Efficiently Using Python and Async Tools
When we think about luxury watches, they are rarely just about telling time—they carry stories of craftsmanship, heritage, and personal style. In India, one name that consistently stands out in this space is Ethos Watches , the country’s largest luxury and premium watch retailer. With a market share of 13% in the premium and luxury segment and a market cap of over ₹7,400 crore, Ethos has built a reputation for trust and authenticity. Every timepiece sold here goes through a s
Anusha P O
Dec 17, 202538 min read
The Short Shelf Life of Open Source Web Scraping Tools (And Why Scale Breaks Them)
Picture this: Your team builds a beautiful internal scraping platform using Open Source libraries. It scrapes 20 e-commerce sites, powers dashboards, feeds pricing models… and becomes part of your company’s heartbeat. You scale from 10K → 100K → 1M pages per day . Suddenly: your prices stop updating your stock signals lag your competitor feeds look “too perfect” your alerts never fire your data scientists complain about anomalies and your engineering team starts firefighting
tony56024
Dec 10, 20259 min read
Scraping Amazon’s Menstrual Cup Data Using Playwright and curl-cffi: A Beginner-Friendly Guide to E-Commerce Product Analysis
When thinking about menstrual cups , they are more than just a reusable alternative to pads or tampons—they represent convenience, sustainability, and personal health. On Amazon, one of the largest online marketplaces in the world, a wide range of menstrual cups is available, catering to different sizes, materials, and preferences. By scraping menstrual cup data from Amazon’s website , including product titles, brands, prices, and reviews, it is possible to uncover insights a
Anusha P O
Dec 5, 202540 min read
Web Crawling and Its Use Cases for 2026: How Businesses Really Benefit!
In the data-driven landscape of 2026, access to external web data isn't just an advantage, it's a baseline requirement. However, acquiring this data efficiently remains a major hurdle. Many businesses find themselves navigating high operational costs and complex technical barriers just to keep their data pipelines flowing. And that’s exactly why web crawling has become one of the most valuable capabilities for businesses in 2026 . Nearly every company today relies on externa
Navin Saif
Dec 3, 20259 min read
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