
Facebook Pages Scraper
Pricing
$10.00 / 1,000 pages

Facebook Pages Scraper
Extract basic data from multiple Facebook Pages or Profiles. Extract Facebook page details, website, email, address, messenger, likes, followers, rating, ad running status, and other public data. Export scraped data, schedule scraper via API, integrate with other tools or AI workflows.
4.1 (12)
Pricing
$10.00 / 1,000 pages
148
Total users
22.6k
Monthly users
1.1k
Runs succeeded
>99%
Issue response
1.1 days
Last modified
13 hours ago
You can access the Facebook Pages Scraper programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "startUrls": [{ "url": "https://www.facebook.com/copperkettleyqr/" }] }9
10# Run the Actor and wait for it to finish11run = 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: