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Web Scraping Using Python

 There is a lot of data and information available on the Internet, and most people, especially businesses, want to use this information to their benefit. If you want to use the information in the right way, you need to learn how to scrape data from the Internet. Python has many libraries and tools that can be used to perform this job. This chapter has all the information you need about Python and HTML. 

We will look at the following :

  • Inspecting the HTML structure of the target website using the developer tools in your browser
  • Break the code down in the URLs
  • Use Beautiful Soup and requests in Python to scrape and parse data on the Internet
  • Use the web scraping pipeline from start to finish
  • Use a script to perform the job offers from the internet and display the needed information on your system
    When you go through this chapter, you will gather information about the different tools and processes you need to scrape on any static website on the Internet. So, let us begin.

Understanding Web Scraping
In simple words, web scraping is the process of looking at new information on the Internet. Even when you copy or paste information on the Internet, your favorite song or movie plot, you scrape information from the Internet. The term "web scraping" is the process that uses automation and other objects and packages in the library. Some websites have restrictions on the data being extracted, while others do not. 


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