MetaDataScraper 0.0.2

A module designed to automate the extraction of follower counts and post details from a public Facebook page.

MetaDataScraper

MetaDataScraper is a Python package designed to automate the extraction of information like follower counts, and post details & interactions from a public Facebook page, in the form of a FacebookScraper object. It uses Selenium WebDriver for web automation and scraping.

Installation

You can install MetaDataScraper using pip:

pip install MetaDataScraper

Make sure you have Python 3.x and pip installed.

Usage

To use MetaDataScraper, follow these steps:

1. Import the FacebookScraper class:

   from MetaDataScraper import FacebookScraper
   

2. Initialize the scraper with the Facebook page ID:

   scraper = FacebookScraper("page_id")
   

3. Scrape the Facebook page to retrieve information:

   result = scraper.scrape()
   

4. Access the scraped data from the result dictionary:

   print(f"Followers: {result['followers']}")
   print(f"Post Texts: {result['post_texts']}")
   print(f"Post Likes: {result['post_likes']}")
   print(f"Post Shares: {result['post_shares']}")
   print(f"Is Video: {result['is_video']}")
   print(f"Video Links: {result['video_links']}")
   

Features

• Scraping: Extracts followers count and post details (text, likes, shares, video links) from Facebook pages.
• Flexibility: Handles various post structures and video formats on Facebook pages.
• Headless Mode: Runs in headless mode for silent scraping without UI interference.

Dependencies

• selenium
• webdriver_manager

License

This project is licensed under the MIT License - see the LICENSE file for details.