Free Facebook Meta Data Scraping Python Library - Unlimited Calls

Hello fellow developers! 👋🧑‍💻

I wanted to share some fantastic news 🎉🎉 with all of you. I have developed a brand new Facebook scraping library 🚀🚀 that I believe could be incredibly valuable to many of you. The best part? It's completely free! So, if you're looking to extract metadata from Facebook effortlessly, this library might just be your new go-to tool!

Introducing facebook-page-info-scraper 🐍🐍 With this library, you'll have access to unlimited calls for scraping Facebook data . Normally, similar services are paid 🤑💰, but I believe in making data extraction accessible to all. That's why I'm offering this powerful tool completely free of charge ❌‼️‼️

Key features of facebook-page-info-scraper 🥷🥷:

1. Unlimited Calls🛑: There are no restrictions on the number of API calls you can make. Extract as much data as you need without any limitations.

2. Ease of Use🤗: it's designed to be user-friendly and straightforward, allowing both researchers and developers to scrape Facebook data effortlessly.

3. Future Optimizations 🪛: I am committed to continuously improving this library. I have exciting plans for further optimizations and enhancements that will boost its performance and add even more functionality.

To get started with ▶️🏃🏃

here are some simple steps:

✋ First make sure you using python3.10 ⛔

pip install facebook_page_info_scraper

from facebook_page_info_scraper import FacebookPageInfoScraper

 # providing the page URL
 page_url = 'https://www.facebook.com/example-page'

 # Create an instance of the scraper
 scraper = FacebookPageInfoScraper(link=page_url)

 page_info = scraper.get_page_info()

 # Print page details
 print(page_info)

 page_info = {
    'page_name': 'Example Page',
    'location': 'Some Location',
    'email': 'example@example.com',
    'phone_number': '+33 536337',
    'social_media_links': 'www.instagram.com/example',
    'page_website': 'http://example.com',
    'page_category': 'Some category',
    'page_likes': '36,565',
    'page_followers': '38,225'
    'page_following': '120'
    'page_rate': '33'
    'review_number': '4.6'
}

simply visit https://pypi.org/project/facebook-page-info-scraper/. There, you'll find all the necessary documentation 📄, examples, and support resources to help you make the most of this incredible tool 👽.

Please remember 🚨🚨🚨 to use this library responsibly and in compliance with Facebook's terms and conditions. Respecting user privacy and utilizing the scraped data ethically is of utmost importance.

I'm thrilled to share this resource with the community and provide a free alternative to paid services💰. Your feedback📨, suggestions 💡, and questions 🙋‍♂️ are highly encouraged as they will contribute to the library's ongoing development 📶.

Let's revolutionize 🔥 the way we extract data from Facebook together!

Happy scraping 🚜🚜, everyone! 💖