monkidea / facebookpostsscraper

Scraper for posts in Facebook user profiles, pages and groups

FacebookPostsScraper

Scraper for posts in Facebook user profiles, pages and groups.

Extracts list of dicts with:

params	description
published	Formatted datetime of published
description	Post text content
images	List of images in posts
post_url	The unique post url
external_links	External links found in description
like_url	The Like url

Installation

1.Get Python (recommended Python 3.7+)

2.Clone or download this repository

git clone https://github.com/adeoy/FacebookPostsScraper.git

3.Install the Python requirements

pip install -r requirements.txt

4.Follow the examples.

Description

The FacebookPostsScraper Class

Constructor params:

param	description
email	Your email to access Facebook
password	Your password to access Facebook
post_url_text	This is the text in the Url that opens the posts in mobile version, use when your Facebook isn't in English

When instantiate object it autologs in, and sets the session and save a cookie file for future use.

Methods

get_posts_from_profile

params:

• profile url

return:

• list of dicts with the data described above

get_posts_from_list

params:

• list of profile urls

return:

• list of list of dicts with the data described above

Examples

Example with single url

from FacebookPostsScraper import FacebookPostsScraper as Fps
from pprint import pprint as pp

# Enter your Facebook email and password
email = 'YOUR_EMAIL'
password = 'YOUR_PASWORD'

# Instantiate an object
fps = Fps(email, password, post_url_text='Full Story')

# Example with single profile
single_profile = 'https://www.facebook.com/BillGates'
data = fps.get_posts_from_profile(single_profile)
pp(data)

fps.posts_to_csv('my_posts')  # You can export the posts as CSV document
# fps.posts_to_excel('my_posts')  # You can export the posts as Excel document
# fps.posts_to_json('my_posts')  # You can export the posts as JSON document

Example with multiple urls

from FacebookPostsScraper import FacebookPostsScraper as Fps
from pprint import pprint as pp

# Enter your Facebook email and password
email = 'YOUR_EMAIL'
password = 'YOUR_PASWORD'

# Instantiate an object
fps = Fps(email, password, post_url_text='Full Story')

# Example with multiple profiles
profiles = [
    'https://www.facebook.com/zuck', # User profile
    'https://www.facebook.com/thepracticaldev', # Facebook page
    'https://www.facebook.com/groups/python' # Facebook group
]
data = fps.get_posts_from_list(profiles)
pp(data)

fps.posts_to_csv('my_posts')  # You can export the posts as CSV document
# fps.posts_to_excel('my_posts')  # You can export the posts as Excel document
# fps.posts_to_json('my_posts')  # You can export the posts as JSON document

Questions

Please be free of ask anything in you want in the issue sections.