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LinkedIn Company Profiles Scraper

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LinkedIn Company Profiles Scraper

LinkedIn Company Profiles Scraper

fetchclub/linkedin-company-profiles-scraper
Try for free

3 days trial then $7.99/month - No credit card required now

Actively Maintained - Affordable Rental & Run Cost - LinkedIn Company Profiles Scraper - Extract detailed data from company LinkedIn profiles. Export results for analysis, connect via API, & integrate with other apps. Perfect for recruitment, business, & market research. Unofficial LinkedIn API.

You can access the LinkedIn Company Profiles 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 = { "company_profile_urls": ["https://uk.linkedin.com/company/canonical"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("fetchclub/linkedin-company-profiles-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Company Profiles Scraper API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Company Profiles 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
  • 22 monthly users
  • 4 stars
  • 94.2% runs succeeded
  • Created in Sep 2024
  • Modified 27 days ago