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Linkedin-company-scraper-(deep)

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Linkedin-company-scraper-(deep)

Linkedin-company-scraper-(deep)

logical_scrapers/linkedin-company-scraper-deep
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A powerful scraper that extracts comprehensive company data from LinkedIn company pages. Gives you authenticated access through cookies to retrieve detailed business information including name, description, industry, size, headquarters, phone, website, logo, employee count, follower count and more.

You can access the Linkedin-company-scraper-(deep) 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    "urls": [
10        "https://www.linkedin.com/company/paperweight",
11        "https://www.linkedin.com/company/tile-giant",
12    ],
13    "cookies": [],
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("logical_scrapers/linkedin-company-scraper-deep").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn scraper, LinkedIn company scraper, web scraping API in Python

The Apify API client for Python is the official library that allows you to use Linkedin-company-scraper-(deep) 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
  • 2 monthly users
  • 0 stars
  • 33.3% runs succeeded
  • Created in Nov 2024
  • Modified about 10 hours ago