Facebook Page Contact Info Scraper avatar

Facebook Page Contact Info Scraper

Try for free

1 day trial then $15.00/month - No credit card required now

View all Actors
Facebook Page Contact Info Scraper

Facebook Page Contact Info Scraper

powerful_bachelor/facebook-page-contact-info-scraper
Try for free

1 day trial then $15.00/month - No credit card required now

The Facebook Page Contact Info Scraper 🛠️ is a tool for extracting contact info from Facebook Pages, including addresses, emails, and phone numbers 📞, ideal for market research 📊, competitor analysis 🔍, and strategic planning 📈.

You can access the Facebook Page Contact Info 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/google/" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("powerful_bachelor/facebook-page-contact-info-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 Page Contact Info Scraper API in Python

The Apify API client for Python is the official library that allows you to use Facebook Page Contact Info 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 Community
Actor metrics
  • 12 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • 3.5 days response time
  • Created in Mar 2024
  • Modified 5 months ago