Extracting Facebook Posts & Comments with BeautifulSoup & Requests

Facebook is the biggest social network of our times, containing a lot of valuable data that can be useful in so many cases. Imagine being able to extract this data and use it as your project’s dataset.

In this tutorial, you are going to use Python to extract data from any Facebook profile or page. The data that you will be extracting from a predefined amount of posts is:

  • Post URL
  • Post text
  • Post media URL

You will be extracting comments from posts as well and from each comment:

  • Profile name
  • Profile URL
  • Comment text

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Selenium: Web Scraping Booking.com Accommodations

Booking.com is a travel fare aggregator website and travel metasearch engine for lodging reservations. This websites has more than 29,094,365 listings in 230 countries and territories worldwide.

Websites like Booking.com contains a lot of data that can be scraped and processes that can be automatized.

In this Selenium tutorial, will learn how to automate an accommodation search and to scrape the results using Python with Selenium.

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