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Datahut Blog
A blog for people & companies looking to make a big business impact with data acquired using web scraping . 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
Web Scraping for Skincare Brands That Want to Win in 2026
"The skincare brands winning in 2025 aren't the ones with the best chemists - they're the ones with the best data." The global skincare market crossed $189 billion in 2025. But revenue share isn't being won on formulation alone- it's being won by brands that can answer questions like: Why are consumers abandoning Product X? Which ingredient is about to become the next retinol? Is a competitor quietly raising prices? Web scraping has become the intelligence backbone for cate
Aarathi J
4 minutes ago7 min read
Why Most Cannabis Brands Are Losing Market Share (And What the Data Says to Do Instead)
According to Research and Markets, the cannabis-infused products market is projected to grow from $33.62 billion in 2025 to $41.44 billion in 2026, a compound annual growth rate of 23.2%. That trajectory is already visible on the platform: 112 active brands are competing across 18,707 product listings, with a category-average sale price of $29.64 and an average customer rating of 4.57 out of 5.0. With 112 active brands battling for visibility across *With 18,707 product li
Tony Paul
1 day ago11 min read
How to Scrape Data from Noon’s Fragrance Store?
Have you ever wondered how to collect product information from online stores without copying everything by hand? In this blog, I’ll walk you through a simple project where we gather data from Noon , a well-known shopping website. We’ll be focusing on fragrance products—and by the end, you’ll see how we can collect, clean, and make sense of that data using a bit of Python code. Web scraping is just a way of telling the computer, “Hey, go to this website and bring me back th
Shahana farvin
2 days ago27 min read
The Upsell You're Overlooking: Micro Data Products Hidden Inside Your Existing Accounts
Most software services firms are hunting for the next big transformation program. However, they are overlooking an opportunity already sitting within the accounts you have . The Middle Ground Nobody Proposals Account expansion has a familiar playbook: land a project, deliver value, propose the next phase. The problem is that "next phase" almost always means another large program, which means executive buy-in, long sales cycles, and a budget that's never guaranteed. That leave
Tony Paul
3 days ago5 min read
Stop Tracking Just Competitors: Build a Category Price Index Instead
Most companies ask us for competitor pricing data . Usually, they begin with a shortlist and say, “Track these five competitors.” We usually push back. Why those five? Why not the entire category? That question gets the same response every time: Why would we do that? Because tracking competitors only shows what a few companies did today. Tracking the whole category shows what the market is doing and helps you see if a change is just a one-time event or a real shift. This blo
Tony Paul
Feb 258 min read
Data Readiness: Fix Your Data Before You Invest In AI
Retailers are investing heavily in AI initiatives; some are hiring dedicated Chief AI officers or VP AI roles to lead them. Some are bringing in external consultants to help with it, but most of those initiatives won’t hit their original goal because they are having a data maturity problem . What we’re seeing now is that Pilots perform well, but in production, it goes haywire. Models perform well in pilot but fail at scale. Executives who were once cheerleaders of AI are now
Tony Paul
Feb 236 min read
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