Facebook Email Extractor
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Facebook Email Extractor
clothefobia/facebook-email-extractor
Try for free
1 day trial then $10.00/month - No credit card required now
Facebook Email Extractor-Scrap Emails from Facebook with unique technology with any keyword
You can access the Facebook Email Extractor 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 "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-startFacebook 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-clientOther API clients include:
Developer
clothe fobiaMaintained by Community
Actor metrics
- 13 monthly users
- 3 stars
- 93.0% runs succeeded
- 4.5 days response time
- Created in Jul 2024
- Modified about 2 months ago
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