Fast Facebook Pages Scraper
Pay $8.00 for 1,000 results
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsFast Facebook Pages Scraper
Pay $8.00 for 1,000 results
Use this fast and reliable unofficial Facebook API to efficiently scrape detailed Facebook page information. Extract valuable data such as page names, URLs, contact details, addresses, likes, and followers. Perfect for competitive analysis, market research, trend monitoring and social media analysis
You can access the Fast 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 = {
9 "startUrls": [{ "url": "https://crawlee.dev" }],
10 "proxyUrls": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("oussemafr/fast-facebook-pages-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Fast Facebook Pages Scraper API in Python
The Apify API client for Python is the official library that allows you to use Fast 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:
- 26 monthly users
- 1 star
- 96.2% runs succeeded
- Created in Aug 2024
- Modified 3 days ago