Facebook Groups Scraper avatar

Facebook Groups Scraper

Try for free

1 day trial then $34.00/month - No credit card required now

View all Actors
Facebook Groups Scraper

Facebook Groups Scraper

caprolok/facebook-groups-scraper
Try for free

1 day trial then $34.00/month - No credit card required now

Efficiently extract data from public Facebook groups: access group and post URLs, post texts, timestamps, likes, comments count, and basic user info and much more. Download in JSON, CSV, Excel for easy analysis and integration in apps, spreadsheets, or reports.

You can access the Facebook Groups Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "startUrls": [{ "url": "https://www.facebook.com/groups/germtheory.vs.terraintheory" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("caprolok/facebook-groups-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Groups Scraper API in Python

The Apify API client for Python is the official library that allows you to use Facebook Groups Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 24 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • 5.7 hours response time
  • Created in Feb 2024
  • Modified 3 months ago