Hey everyone! 👋

I’m excited to introduce MetaDataScraper, a Python package designed to automate the extraction of valuable data from Facebook pages. Whether you're tracking follower counts, post interactions, or multimedia content like videos, this tool makes scraping Facebook page data a breeze. No API keys or tedious manual effort required — just pure automation! 😎

Key Features:

Automated Extraction: Instantly fetch follower counts, post texts, likes, shares, and video links from public Facebook pages. Comprehensive Data Retrieval: Get detailed insights from posts, including text content, interactions (likes, shares), and multimedia (videos, reels, etc.). Loginless Scraping: With the LoginlessScraper class, no Facebook login is needed. Perfect for scraping public pages. Logged-In Scraping: The LoggedInScraper class allows you to login to Facebook and bypass the limitations of loginless scraping. Access more content and private posts if needed. Headless Operation: Scrapes data silently in the background (without opening a visible browser window) — perfect for automated tasks or server environments. Flexible & Easy-to-Use: Simple setup, clear method calls, and works seamlessly with Selenium WebDriver.

Example Usage:

1) Installation: Simply install via pip:

pip install MetaDataScraper

2) Loginless Scraping (no Facebook login required):

from MetaDataScraper import LoginlessScraper

page_id = "your_target_page_id"
scraper = LoginlessScraper(page_id)
result = scraper.scrape()

print(f"Followers: {result['followers']}")
print(f"Post Texts: {result['post_texts']}")

3) Logged-In Scraping (for more access):

from MetaDataScraper import LoggedInScraper

page_id = "your_target_page_id"
email = "your_facebook_email"
password = "your_facebook_password"
scraper = LoggedInScraper(page_id, email, password)
result = scraper.scrape()

print(f"Followers: {result['followers']}")
print(f"Post Likes: {result['post_likes']}")
print(f"Video Links: {result['video_links']}")

Comparision to existing alternatives

Ease of Use: Setup is quick and easy — just pass the Facebook page ID and start scraping! No Facebook API Required: No need for dealing with Facebook's complex API limits or token issues. This package uses Selenium for direct web scraping, which is much more flexible. Better Data Access: With the LoggedInScraper, you can scrape content that might be unavailable to public visitors, all using your own Facebook account credentials. Updated Code Logic: With Meta's code updating quite often, many of the now existing scraper packages are defunct. This package is continuously tested and monitored to make sure that the scraper remains functional.

Target Audience:

Data Analysts: For tracking page metrics and social media analytics. Marketing Professionals: To monitor engagement on Facebook pages and competitor tracking. Researchers: Anyone looking to gather Facebook data for research purposes. Social Media Enthusiasts: Those interested in scraping Facebook data for personal projects or insights.

Dependencies:

Selenium WebDriver Manager

If you’re interested in automating your data collection from Facebook pages, MetaDataScraper will save you tons of time. It's perfect for anyone who needs structured, automated data without getting bogged down by API rate limits, login barriers, or manual work. Check it out on GitHub, if you want to dive deeper into the code or contribute. I’ve set up a Discord server for my projects, including MetaDataScraper, where you can get updates, ask questions, or provide feedback as you try out the package. It’s a new space, so feel free to help shape the community! 🚀

Looking forward to seeing you there!

Hope it helps some of you automate your Facebook scraping tasks! 🚀 Let me know if you have any questions or run into any issues. I’m always open to feedback!