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Facebook Pages Scraper

Pricing

$10.00 / 1,000 pages

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Facebook Pages Scraper

Facebook Pages Scraper

Developed by

Apify

Apify

Maintained by Apify

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 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: