🏢 LinkedIn Company About Scraper

This Apify actor scrapes company information from LinkedIn "About" pages. It's perfect for market research, or anyone needing structured data about companies from LinkedIn.

✨ Features

• Scrapes company "About" pages from LinkedIn
• Handles multiple companies in a single run (up to 20 companies)
• Automatic language detection and translation of non-English pages
• Extracts key company information including:
  • Website domain
  • Industry category
  • Number of employees
  • Headquarters location
  • Company description

🚀 Usage

Input Parameters

The actor accepts a mapping of companies to their categories:

Example Input

{
  "comapanies": ["Impossible Foods", "Google", "Prozis", "Coinbase", "Meta"]
}

📊 Output

The actor stores results in the default dataset, with each company represented as a JSON object containing:

• linkedin_url: URL of the company's LinkedIn page
• domain: Company's website domain
• category: Industry category
• number_employees: Number of employees
• location: Company headquarters location
• description: Company description from the About page

Example Output

{
  "linkedin_url": "https://www.linkedin.com/company/coinbase",
  "domain": "http://www.coinbase.com",
  "category": "Financial Services",
  "number_employees": "1,001-5,000",
  "location": "Remote First",
  "description": "Founded in June of 2012, Coinbase is a digital currency wallet and platform where merchants and consumers can transact with new digital currencies like bitcoin, ethereum, and litecoin. Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by building an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more intuitive to use."
}

Limitations

• Maximum of 20 companies can be scraped in a single run
• Some company pages might not be accessible
• Translation quality depends on the original language
• Search results may not always find the correct company page