You can access the Facebook Email Extractor 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "Keyword": "testkeyword",
10    "social_network": "facebook.com/",
11    "proxySettings": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("clothefobia/facebook-email-extractor").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Email Extractor API in Python

The Apify API client for Python is the official library that allows you to use Facebook Email Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Email Extractor API in JavaScript

Facebook Email Extractor API through CLI

Facebook Email Extractor OpenAPI definition

Facebook Email Extractor API

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scrapestorm/facebook-email-scraper-fast-affordable

This Facebook Email Scraper extracts email addresses from Facebook based on your selected keywords and email domains. You can also set the max number of items for results 🔥. Perfect for creator outreach 🤳 and collaborations 💥, it delivers fast and accurate results ⚡.