The data on the websites are unstructured. Web scraping is an automated method used to extract large amounts of data from websites. Job listings: Details regarding job openings, interviews are collected from different websites and then listed in one place so that it is easily accessible to the user.Research and Development: Web scraping is used to collect a large set of data (Statistics, General Information, Temperature, etc.) from websites, which are analyzed and used to carry out Surveys or for R&D.Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending.Email address gathering: Many companies that use email as a medium for marketing, use web scraping to collect email ID and then send bulk emails.Price Comparison: Services such as ParseHub use web scraping to collect data from online shopping websites and use it to compare the prices of products.But why does someone have to collect such large data from websites? To know about this, l et’s look at the applications of web scraping: Web scraping is used to collect large information from websites.

Web Scraping Example : Scraping Flipkart Website.

In this article on Web Scraping with Python, you will learn about web scraping in brief and see how to extract data from a website with a demonstration. This Edureka Python Full Course helps you to became a master in basic and advanced Python Programming Concepts.

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