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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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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 117 min read
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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 177 min read
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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 924 min read
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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
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OTAs Post COVID-19: Data Analytics is the Savior
Online Travel Agencies or OTAs are the dominant force in the travel industry. Their collaborations with major airlines and hotel chains make their service inevitable. But, COVID-19 has created many hurdles. Due to this, in this ultimate battle of survival, data analytics is on the winning side . With data analytics, OTAs can remold their operations and marketing and bounce back even stronger. The COVID-19 pandemic brought a significant economic shakedown. Industry growth
Sakshi Ragini
Jul 14, 20205 min read
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COVID-19 and Travel Industry: Recipe for Resurrection
Data will save the Travel and Tourism Industry From The COVID-19 shock. In the wake of the coronavirus pandemic, travel and tourism are one of the hardest-hit industries among all businesses affected. The pandemic has impacted the airlines and hospitality industry severely with projected revenue losses crossing $250 billion. The tourism industry has built its revenue strategy based on high tourism demand, no border restrictions, and the rising popularity of affordable trav

Bhagyeshwari Chauhan
Jul 9, 20208 min read
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Big Data in Tourism: How Big Data Analytics can Help the Travel and Tourism Industry Grow
The travel industry is now a part of the bandwagon of the various other industries that use big data analytics in their regular operations. People generate a lot of data in all their activities and decisions with activities ranging from searching for holiday destinations to buying rucksacks online. Even while traveling across the globe, people tend to leave a lot of trail on the internet. While people generate a lot of direct data on the open-source internet voluntarily or i
Srishti Saha
Aug 13, 20186 min read
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