Facebook Email Scraper (β Fast & Affordable) π§
2 hours trial then $9.90/month - No credit card required now
Facebook Email Scraper (β Fast & Affordable) π§
2 hours trial then $9.90/month - No credit card required now
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 π₯. Perfect for creator outreach π€³ and collaborations π₯, it delivers fast and accurate results β‘.
You can access the Facebook Email Scraper (β Fast & Affordable) π§ 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, youβll 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 "keyword": "marketing",
10 "domainEmail": [
11 "@gmail.com",
12 "@yahoo.com",
13 "@hotmail.com",
14 ],
15 "maxItems": 10,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("scrapestorm/facebook-email-scraper-fast-affordable").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startFacebook Email Scraper (β Fast & Affordable) π§ API in Python
The Apify API client for Python is the official library that allows you to use Facebook Email Scraper (β Fast & Affordable) π§ API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Storm_ScraperActor Metrics
1 monthly user
-
1 bookmark
>99% runs succeeded
Created in Feb 2025
Modified a day ago
