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Linkedin Employees Scraper

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Linkedin Employees Scraper

Linkedin Employees Scraper

caprolok/linkedin-employees-scraper
Try for free

1 day trial then $39.00/month - No credit card required now

Effortlessly gather LinkedIn URLs and names of employees in bulk. Ideal for HR and recruitment, this tool quickly provides essential contact information, simplifying talent search and networking opportunities.

You can access the Linkedin Employees 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 = {
9    "companyUrls": ["https://www.linkedin.com/company/microsoft"],
10    "designation": [
11        "CEO",
12        "CFO",
13        "HR Manager",
14    ],
15    "location": "New York",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("caprolok/linkedin-employees-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 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# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Employees Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Employees 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
  • 76 monthly users
  • 9 stars
  • 99.5% runs succeeded
  • 6.7 days response time
  • Created in Dec 2023
  • Modified 6 days ago