✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) avatar

✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies)

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Pay $10.00 for 1,000 results

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✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies)

✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies)

dev_fusion/linkedin-profile-scraper
Try for free

Pay $10.00 for 1,000 results

Scrape Linkedin profiles and get full information of the lead with their email too.

You can access the ✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) 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 = { "profileUrls": [
9        "https://www.linkedin.com/in/williamhgates",
10        "http://www.linkedin.com/in/jeannie-wyrick-b4760710a",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("dev_fusion/linkedin-profile-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

✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) API in Python

The Apify API client for Python is the official library that allows you to use ✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
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Actor Metrics

  • 214 monthly users

  • 24 stars

  • >99% runs succeeded

  • 3.8 days response time

  • Created in Oct 2024

  • Modified 4 hours ago