Facebook Pages Scraper
7 days trial then $20.00/month - No credit card required now
Facebook Pages Scraper
7 days trial then $20.00/month - No credit card required now
Facebook scraping tool to crawl and extract basic data from one or multiple Facebook Pages. Extract Facebook page name, page URL address, category, likes, check-ins, and other public data. Download data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.
Do you want to learn more about this Actor?
Get a demoYou can access the Facebook Pages 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/copperkettleyqr/" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("apify/facebook-pages-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 Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Pages Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Apify- 712 monthly users
- 50 stars
- 100.0% runs succeeded
- 19 hours response time
- Created in Feb 2020
- Modified 1 day ago
