Learn Web Scraping with Python

Why Scrape the Web

Why Scrape the Web?

Today, more and more businesses publish data on the internet. This information includes the product, customer, pricing, and supplier details. Companies—in the telemarketing industry, for example—scrape this data from websites for competitive intelligence and strategic positioning purposes. 

 

Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites?

let’s look at the applications of web scraping:

  • 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.
  • 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.
  • Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending.
  • 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.
  • 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.