facebook-page-scraper 4.0.3

Python package to scrap facebook's pages front end with no limitations

Facebook Page Scraper

No need of API key, No limitation on number of requests. Import the library and Just Do It !

Table of Contents

Table of Contents

1. Getting Started
   • Prerequisites
   • Installation
     • Installing from source
     • Installing with PyPI
2. Usage
• How to instantiate?
• Parameters for Facebook_scraper()
• Scrape in JSON format
  • JSON Output Format
• Scrape in CSV format
  • Parameters for scrape_to_csv() method
• Keys of the output data
3. Tech
4. License

Prerequisites

• Internet Connection
• Python 3.6+
• Chrome or Firefox browser installed on your machine

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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

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How to use?

#import Facebook_scraper class from facebook_page_scraper
from facebook_page_scraper import Facebook_scraper

#instantiate the Facebook_scraper class

page_name = "metaai"
posts_count = 10
browser = "firefox"
proxy = "IP:PORT" #if proxy requires authentication then user:password@IP:PORT
timeout = 600 #600 seconds
headless = True
meta_ai = Facebook_scraper(page_name, posts_count, browser, proxy=proxy, timeout=timeout, headless=headless)

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

Parameter Name	Parameter Type	Description
page_name	String	Name of the facebook page
posts_count	Integer	Number of posts to scrap, if not passed default is 10
browser	String	Which browser to use, either chrome or firefox. if not passed,default is chrome
proxy(optional)	String	Optional argument, if user wants to set proxy, if proxy requires authentication then the format will be user:password@IP:PORT
timeout	Integer	The maximum amount of time the bot should run for. If not passed, the default timeout is set to 10 minutes
headless	Boolean	Whether to run browser in headless mode?. Default is True
browser_profile	String	Path to the browser profile where cookies are stored and can be used for scraping data in an authenticated way.

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Done with instantiation?. Let the scraping begin!

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"
  }, ...

}

Output Structure for JSON format:

{
    "id": {
        "name": string,
        "shares": integer,
        "reactions": {
            "likes": integer,
            "loves": integer,
            "wow": integer,
            "cares": integer,
            "sad": integer,
            "angry": integer,
            "haha": integer
        },
        "reaction_count": integer,
        "comments": integer,
        "content": string,
        "video" : list,
        "image" : list,
        "posted_on": datetime,  //string containing datetime in ISO 8601
        "post_url": string
    }
}

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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
...

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Parameters for scrap_to_csv(filename, directory) method.

Parameter Name	Parameter Type	Description
filename	String	Name of the CSV file where post's data will be saved
directory	String	Directory where CSV file have to be stored.

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Keys of the outputs:

Key	Type	Description
id	String	Post Identifier(integer casted inside string)
name	String	Name of the page
shares	Integer	Share count of post
reactions	Dictionary	Dictionary containing reactions as keys and its count as value. Keys => ["likes","loves","wow","cares","sad","angry","haha"]
reaction_count	Integer	Total reaction count of post
comments	Integer	Comments count of post
content	String	Content of post as text
video	List	URLs of video present in that post
image	List	List containing URLs of all images present in the post
posted_on	Datetime	Time at which post was posted(in ISO 8601 format)
post_url	String	URL for that post

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Tech

This project uses different libraries to work properly.

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

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

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LICENSE

MIT