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Facebook Pages Scraper

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Pay $10.00 for 1,000 Pages

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Facebook Pages Scraper

Facebook Pages Scraper

apify/facebook-pages-scraper
Try for free

Pay $10.00 for 1,000 Pages

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.

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You 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-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 633 monthly users
  • 59 stars
  • 100.0% runs succeeded
  • 4.7 days response time
  • Created in Feb 2020
  • Modified 8 days ago