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
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
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) 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 |
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
}
}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.
| 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. |
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 |
Tech
This project uses different libraries to work properly.
If you encounter anything unusual please feel free to create issue here