Facebook Pages Scraper
Pay $9.00 for 1,000 results
Facebook Pages Scraper
Pay $9.00 for 1,000 results
Facebook scraping tool designed to crawl and extract essential data from one or multiple Facebook Pages. It retrieves information such as the Facebook page name, page URL address, category, number of likes, business address, phone number, and other publicly available data.
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 = { "urlSupplier": "https://www.apify.com/" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("making-data-meaningful/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-startFacebook Pages Scraper | Facebook Extractor 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:
Catalin- 3 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Sep 2024
- Modified about 6 hours ago
