Scrape Facebook Using Python

While starting with the Facebook data collection, the role of Facebook data scraping services is to first look into the page you want to parse. Decide which data you want to scrape, which path you want the bot to take, and the specific data selectors you require. The entire process is achieved with Facebook Pages scraper.

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Let's take the example of Tom Cruise's Facebook public page. You will find his details, links to other pages, posts, and other media. All this data is easily scrapable. However, you must first inspect the page to scrape data from Facebook posts.

After locating the selectors, start writing the scraping code. Now, open the Python file and import Selenium, BeautifulSoup, and Pandas.

Mention the target page and introduce Selenium to imitate the user to avoid blocking.

Now, we will change the above text into a readable format using BeautifulSoup.

After segregating the data, structure it in a tabular form, i.e., DataFrame. The output will appear like this: https://www.iwebdatascraping.com/web-scraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php