Linkedin Email Scraper avatar

Linkedin Email Scraper

Try for free

2 hours trial then $5.00/month - No credit card required now

View all Actors
Linkedin Email Scraper

Linkedin Email Scraper

scraper-mind/linkedin-email-scraper
Try for free

2 hours trial then $5.00/month - No credit card required now

The LinkedIn Email Scraper efficiently extracts email addresses from LinkedIn profiles based on targeted keywords. Perfect for recruitment, sales outreach, and networking, it offers fast, accurate results at 50% lower costs than competitors. Boost your professional connections effortlessly today.

You can access the Linkedin Email 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 = { "customDomains": [
9        "@gmail.com",
10        "@yahoo.com",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("scraper-mind/linkedin-email-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Email Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Email 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
  • 1 star
  • 91.5% runs succeeded
  • Created in Oct 2024
  • Modified 22 days ago