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Automating Data Collection from Web Sources
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Automating Data Collection from Web Sources

Automating Data Collection from Web Sources

IntroductionThe Requests LibraryParse the HTML Content Using BeautifulSoupExtract the Desired AttributeStore Scraped Data Into a Pandas DataFrameInclude Other Informations in the Scraping ProcessRegular Expressions

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The Requests Library

The requests library is a popular Python library for making HTTP requests. It allows you to send HTTP requests to a website's server and retrieve the server's response.

In the context of web scraping, the requests library can be used to send an HTTP request to a website's server to retrieve the HTML content of a webpage. This is often the first step in the web scraping process, as the HTML content contains all the data that you want to extract.

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Swipe to start coding

  1. Import the requests library.
  2. Use the requests library to retrieve the content of the website (url).
  3. Save the text (the .text attribute) in an html variable.

Once you've completed this task, click the button above the code to check your solution.

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