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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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Build Personalized Ecommerce Experiences with Big Data
It's the age of big data. Businesses now know more than ever before about customer behavior and preferences—and those who use that knowledge to build personalized shopping experiences are reaping the rewards (think Amazon, Spotify, and Netflix). Ecommerce companies are struggling to stay competitive in today's marketplace. As eCommerce grows and becomes more competitive, it becomes harder to maintain a competitive edge. So what are the keys to success for eCommerce? It's no l
Shivani Pai
May 7, 20225 min read
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Top 11 Big Data Challenges and How to Overcome Them
As the name suggests, the challenges in big data usually occur in handling the vast data, storing, and analyzing the set of information spread across various data stores. And these challenges need to be dealt with effectively so that it does not turn out to be a costly mistake for the organization. As per a study by Gartner , the average financial impact of bad data quality on an organization is $9.7 million per year. Plus, businesses in the United States suffer a loss of $3.
Shivani Pai
Apr 19, 20227 min read
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