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Facebook Pages Scraper

Pricing

$6.00 / 1,000 results

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Facebook Pages Scraper

Facebook Pages Scraper

Developed by

Sam Cornwell

Sam Cornwell

Maintained by Community

Facebook Pages Scraper extracts comprehensive details from Facebook Pages. It gathers valuable info - such as page_names, addresses, emails, phone numbers, etc—making it ideal for building high-quality leads and fueling your marketing or sales strategies.

5.0 (1)

Pricing

$6.00 / 1,000 results

5

Total users

106

Monthly users

63

Runs succeeded

>99%

Last modified

2 months 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 = { "urls": ["https://www.facebook.com/jalexanderschattanooga/"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("cleansyntax/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 Pages Lead 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: