Facebook Page Scraper

Table of Contents

Prerequisites

• Internet Connection
• Python 3.7+
• Chrome or Firefox browser installed on your machine
  

Installation:

Installing from source:

git clone https://github.com/shaikhsajid1111/facebook_page_scraper

Inside project's directory

python3 setup.py install

Installing with pypi

pip3 install facebook-page-scraper

Or, to install this latest master branch:

pip install git+https://github.com/moda20/facebook_page_scraper.git@master

Or, to force update the branch after an update :

pip install --force-reinstall --no-deps git+https://github.com/moda20/facebook_page_scraper.git@master

And to add it to your requirements.txt manually :

facebook-page-scraper @ git+https://github.com/moda20/facebook_page_scraper.git@master

How to use?

#import Facebook_scraper class from facebook_page_scraper
from facebook_page_scraper import Facebook_scraper

#instantiate the Facebook_scraper class

page_or_group_name = "Meta"
posts_count = 10
browser = "firefox"
proxy = "IP:PORT" #if proxy requires authentication then user:password@IP:PORT
timeout = 600 #600 seconds
headless = True
# get env password
fb_password = os.getenv('fb_password')
fb_email = os.getenv('fb_email')
# indicates if the Facebook target is a FB group or FB page
isGroup= False
meta_ai = Facebook_scraper(page_or_group_name, posts_count, browser, proxy=proxy, timeout=timeout, headless=headless, isGroup=isGroup)

Parameters for Facebook_scraper(page_name, posts_count, browser, proxy, timeout, headless) class

⚠️ Warning: Use Logged-In Scraping at Your Own Risk ⚠️

Using logged-in scraping methods may result in the permanent suspension of your account. Proceed with caution, as violating a platform's terms of service can lead to severe consequences. Exercise discretion and adhere to ethical practices when collecting data through scraping. The library/provider assumes no responsibility for any consequences resulting from the misuse of scraping methods.

Done with instantiation?. Let the scraping begin!

<br

For post's data in JSON format:

#call the scrap_to_json() method

json_data = meta_ai.scrap_to_json()
print(json_data)

Output:

{
  "2024182624425347": {
    "name": "Meta AI",
    "shares": 0,
    "reactions": {
      "likes": 154,
      "loves": 19,
      "wow": 0,
      "cares": 0,
      "sad": 0,
      "angry": 0,
      "haha": 0
    },
    "reaction_count": 173,
    "comments": 2,
    "content": "We’ve built data2vec, the first general high-performance self-supervised algorithm for speech, vision, and text. We applied it to different modalities and found it matches or outperforms the best self-supervised algorithms. We hope this brings us closer to a world where computers can learn to solve many different tasks without supervision. Learn more and get the code:  https://ai.facebook.com/…/the-first-high-performance-self-s…",
    "posted_on": "2022-01-20T22:43:35",
    "video": [],
    "image": [
      "https://scontent-bom1-2.xx.fbcdn.net/v/t39.30808-6/s480x480/272147088_2024182621092014_6532581039236849529_n.jpg?_nc_cat=100&ccb=1-5&_nc_sid=8024bb&_nc_ohc=j4_1PAndJTIAX82OLNq&_nc_ht=scontent-bom1-2.xx&oh=00_AT9us__TvC9eYBqRyQEwEtYSit9r2UKYg0gFoRK7Efrhyw&oe=61F17B71"
    ],
    "post_url": "https://www.facebook.com/MetaAI/photos/a.360372474139712/2024182624425347/?type=3&__xts__%5B0%5D=68.ARBoSaQ-pAC_ApucZNHZ6R-BI3YUSjH4sXsfdZRQ2zZFOwgWGhjt6dmg0VOcmGCLhSFyXpecOY9g1A94vrzU_T-GtYFagqDkJjHuhoyPW2vnkn7fvfzx-ql7fsBYxL5DgQVSsiC1cPoycdCvHmi6BV5Sc4fKADdgDhdFvVvr-ttzXG1ng2DbLzU-XfSes7SAnrPs-gxjODPKJ7AdqkqkSQJ4HrsLgxMgcLFdCsE6feWL7rXjptVWegMVMthhJNVqO0JHu986XBfKKqB60aBFvyAzTSEwJD6o72GtnyzQ-BcH7JxmLtb2_A&__tn__=-R"
  }, ...

}

For saving post's data directly to CSV file

#call scrap_to_csv(filename,directory) method

filename = "data_file"  #file name without CSV extension,where data will be saved
directory = "E:\data" #directory where CSV file will be saved
meta_ai.scrap_to_csv(filename, directory)

content of data_file.csv:

id,name,shares,likes,loves,wow,cares,sad,angry,haha,reactions_count,comments,content,posted_on,video,image,post_url
2024182624425347,Meta AI,0,154,19,0,0,0,0,0,173,2,"We’ve built data2vec, the first general high-performance self-supervised algorithm for speech, vision, and text. We applied it to different modalities and found it matches or outperforms the best self-supervised algorithms. We hope this brings us closer to a world where computers can learn to solve many different tasks without supervision. Learn more and get the code:  https://ai.facebook.com/…/the-first-high-performance-self-s…",2022-01-20T22:43:35,,https://scontent-bom1-2.xx.fbcdn.net/v/t39.30808-6/s480x480/272147088_2024182621092014_6532581039236849529_n.jpg?_nc_cat=100&ccb=1-5&_nc_sid=8024bb&_nc_ohc=j4_1PAndJTIAX82OLNq&_nc_ht=scontent-bom1-2.xx&oh=00_AT9us__TvC9eYBqRyQEwEtYSit9r2UKYg0gFoRK7Efrhyw&oe=61F17B71,https://www.facebook.com/MetaAI/photos/a.360372474139712/2024182624425347/?type=3&__xts__%5B0%5D=68.ARAse4eiZmZQDOZumNZEDR0tQkE5B6g50K6S66JJPccb-KaWJWg6Yz4v19BQFSZRMd04MeBmV24VqvqMB3oyjAwMDJUtpmgkMiITtSP8HOgy8QEx_vFlq1j-UEImZkzeEgSAJYINndnR5aSQn0GUwL54L3x2BsxEqL1lElL7SnHfTVvIFUDyNfAqUWIsXrkI8X5KjoDchUj7aHRga1HB5EE0x60dZcHogUMb1sJDRmKCcx8xisRgk5XzdZKCQDDdEkUqN-Ch9_NYTMtxlchz1KfR0w9wRt8y9l7E7BNhfLrmm4qyxo-ZpA&__tn__=-R
...

Parameters for scrap_to_csv(filename, directory) method.

Keys of the outputs:

Tech

This project uses different libraries to work properly.

• Selenium
• Webdriver Manager
• Python Dateutil
• Selenium-wire

If you encounter anything unusual please feel free to create issue here

LICENSE

MIT