Why use a proxy for web scraping?

  Python is a high-level programming language that is used for web development, mobile application development, and also for scraping the web.

Why use a proxy for web scraping?

  Python is considered as the finest programming language for web scraping because it can handle all the crawling processes smoothly. When you combine the capabilities of Python with the security of a web proxy, then you can perform all your scraping activities smoothly without the fear of IP banning.

  In this article, you will understand how proxies are used for web scraping with Python. But, first, let’s understand the basics.


  Web scraping is the method of extracting data from websites. Generally, web scraping is done either by using a HyperText Transfer Protocol (HTTP) request or with the help of a web browser.

  Web scraping works by first crawling the URLs and then downloading the page data one by one. All the extracted data is stored in a spreadsheet. You save tons of time when you automate the process of copying and pasting data. You can easily extract data from thousands of URLs based on your requirement to stay ahead of your competitors.


  Proxy lets you bypass any content related geo-restrictions because you can choose a location of your choice.

  You can place a high number of connection requests without getting banned.

  It increases the speed with which you request and copy data because any issues related to your ISP slowing down your internet speed is reduced.

  Your crawling program can smoothly run and download the data without the risk of getting blocked.