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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How to Build an Amazon Price Tracker using Python

Tony Paul

Jul 22
6 min

How to Build an Amazon Price Tracker using Python

Everybody loves to get their products on amazon at their lowest prices. I have a bucket list full of electronic gadgets that I am waiting...

Predatory Pricing of eCommerce companies in the pulse oximeter category: Data & Insights

Tony Paul

May 20, 2021
11 min

Predatory Pricing of eCommerce companies in the pulse oximeter category: Data & Insights

With the emergence of the COVID-19 pandemic, the market for medical equipment for at-home health monitoring has witnessed a boom. One of...

The Indian Washing Machine Market: Product Category Analysis and Insights

Bhagyeshwari Chauhan

May 12, 2021
6 min

The Indian Washing Machine Market: Product Category Analysis and Insights

The Indian washing machines market is expected to grow between 3 - 4 CAGR from 2021 to 2025. For a country with over a billion people,...

How to Scrape Product Information from Walmart using Python beautifulsoup

Srishti Saha

Apr 27, 2021
6 min

How to Scrape Product Information from Walmart using Python beautifulsoup

Walmart is a leading retailer. It has both an online store and brick-and-mortar stores across the world. With a large variety of products...

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Bhagyeshwari Chauhan

Oct 27, 2020
6 min

5 Major Challenges That Make Amazon Data Scraping Painful

Amazon has been on the cutting edge of collecting, storing, and analyzing a large amount of data. Be it customer data, product information, data about retailers, or even information on the general market trends. Since Amazon is one of the largest e-commerce websites, a lot of analysts and firms depend on the data extracted from here to derive actionable insights. The growing e-commerce industry demands sophisticated analytical techniques to predict market trends, study custom

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