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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Bhagyeshwari Chauhan
- Oct 21, 2020
- 6 min
How To Scrape Amazon Data Using Python Scrapy
With a large number of companies providing products, price, review, and other forms of monitoring solutions for Amazon, scraping Amazon is a huge business today. But trying to scrape Amazon data on a large scale is a challenging task, often leading to getting blocked by Amazon’s anti-scraping technology. Amazon is a tough website to scrape for beginners. Hence, through this blog post, we aim to provide an easy to understand step by step guide on how to scrape Amazon data usi
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Bhagyeshwari Chauhan
- Aug 12, 2020
- 7 min
How to Build a Web Crawler in Python from Scratch
How often have you wanted a piece of information and have turned to Google for a quick answer? Every information that we need in our daily lives can be obtained from the internet. This is what makes web data extraction one of the most powerful tools for businesses. Web scraping and crawling are incredibly effective tools to capture specific information from a website for further analytics and processing. If you’re a newbie, through this blog, we aim to help you build a web cr
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Bhagyeshwari Chauhan
- Jun 11, 2020
- 6 min
Scraping eBay: How to Scrape Product Data Using Python
Even though Amazon is the leader in e-commerce marketplaces – eBay still has its fair share in the online retail industry. Brands selling online should be monitoring prices on eBay as well to gain a competitive advantage. To scrape product data from eBay at a huge scale regularly is a challenging problem for data scientists. Here is an example of scraping eBay using python to identify the prices of mobile phones. Lets us imagine a use case where you need to monitor the pricin
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Srishti Saha
- Nov 7, 2019
- 5 min
How can the travel industry benefit from data scraping
The travel industry is a major service sector in most countries these days. It is also a major employment and revenue provider. This demands a lot of constant innovation and maintenance. The travel industry is a dynamic industry where the needs and preferences of a customer change every moment. The market players in this field need to keep up with the trends in the industry, the choices of the customers and even on the details of their own historical performance to perform be
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Kartik Singh
- Jun 15, 2019
- 7 min
Scraping Nasdaq news using Python
Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been produced to understand the complexity of the stocks trading. There is an increasing effort to understand the system dynamics of stock trading to predict the emergent behaviour of the stock prices. In order to predict stock prices adequately, one needs to have access to historical data of the stock prices. Mostly, you will b
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Tony Paul
- Sep 7, 2016
- 6 min
Beginner’s guide to Web Scraping with Python lxml
Web Scraping with Python is a popular subject around data science enthusiasts. Here is a piece of content aimed at beginners who want to learn Web Scraping with Python lxml library. What is lxml? lxml is the most feature-rich and easy-to-use library for processing XML and HTML in Python programming language. lxml is a reference to the XML toolkit in a pythonic way which is internally being bound with two specific libraries of C language, libxml2, and libxslt. lxml is unique i
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