Linkedin Company Employees/People Scraper
2 hours trial then $10.00/month - No credit card required now
Linkedin Company Employees/People Scraper
2 hours trial then $10.00/month - No credit card required now
The Actor is designed to extract information from LinkedIn company pages, capturing details that include the names of individuals, their positions, usernames, profile images, the URLs of their LinkedIn profile pages, and the names of their associated companies
You can access the Linkedin Company Employees/People 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 "startUrls": [{ "url": "https://www.linkedin.com/company/artifex-animation-studios/" }],
10 "cookies": [],
11 "proxy": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("memo23/linkedin-company-people-scraper").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-startLinkedin Company Employees/People Scraper API in Python
The Apify API client for Python is the official library that allows you to use Linkedin Company Employees/People Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Muhamed Didovic- 40 monthly users
- 5 stars
- 86.7% runs succeeded
- 6.2 hours response time
- Created in Mar 2024
- Modified 10 days ago
