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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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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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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
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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
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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
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How To Scrape Amazon Data Using Python Scrapy
To scrape data from Amazon using Python's Scrapy framework, you'll need to set up a Scrapy project, create a spider to define your scraping logic, and handle potential anti-bot measures . This involves defining items to store the scraped data, writing parsing functions to extract specific information, and potentially using proxies to avoid getting blocked by Amazon. Introduction With a large number of companies providing products, price , review, and other forms of monitorin

Bhagyeshwari Chauhan
Oct 21, 20207 min read
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How to Scrape Amazon and Other Large E-Commerce Websites at a Large Scale
The e-commerce industry is being more and more data-driven. Scraping product data from Amazon and other large e-commerce websites is a crucial piece of competitive intelligence. There is a massive volume of data in Amazon alone ( 120 + million as of today). Extracting this data every day is a huge task. At Datahut, we work with many customers helping them get access to data. But some people need to set up an in-house team to extract data for many reasons. This blog post is fo

Bhagyeshwari Chauhan
Oct 4, 201913 min read
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