🕸️ LinkedIn Company Scraper - README

Welcome to the LinkedIn Company Scraper! This actor allows you to extract detailed public information from individual LinkedIn company pages. Provide a list of LinkedIn company page URLs, and the actor will gather the available data.

Table of Contents

• Introduction
• Features
• Inputs
  • 🏢 Company URLs
• Usage
  • Step-by-Step Guide
  • Example Configuration
• Outputs
• Key Implementation Details
• Support

Introduction

The LinkedIn Company Scraper is designed to automate the extraction of comprehensive public data from LinkedIn company pages. By inputting a list of company page URLs, this actor fetches information such as company name, ID, locations (including headquarters), employee count, website URL, specialities, and similar organizations. It's a valuable tool for market research, competitive analysis, and B2B data gathering. This scraper operates without requiring LinkedIn cookies.

Features

• Comprehensive Company Data: Extracts a wide range of information including company name, LinkedIn company ID, employee count, and website URL (via Call To Action).
• Location Details: Gathers all listed company locations, indicating the headquarters, and provides city, country, and sometimes postal code and address lines.
• Industry & Specialities: Scrapes listed company specialities.
• Employee Range: Provides the estimated employee count range.
• Similar Organizations: Fetches a list of similar companies suggested by LinkedIn, including their names, follower counts, and links.
• Multiple URL Processing: Handles a list of LinkedIn company page URLs as input, removing duplicates.
• Cookie-less Operation: Does not require LinkedIn session cookies for basic public company page scraping.

Inputs

🏢 Company URLs

• Title: Company URLs
• Description: Please provide a list of company urls that you want to scrape. Please note that duplciates will be removed.
• Input Type: Array of Strings (URLs)
• Example Prefill (as per schema, though editor might simplify input to string array):

  [
      {
          "url": "[https://www.linkedin.com/company/apifytech](https://www.linkedin.com/company/apifytech)"
      },
      {
          "url": "[https://www.linkedin.com/company/itsmakehq](https://www.linkedin.com/company/itsmakehq)"
      }
  ]
  

• Editor Type (from schema): requestListSources (Typically collects an array of URL strings)
• Required: Yes

Usage

Step-by-Step Guide

1. Provide Company URLs: In the input section, provide the list of LinkedIn company page URLs you wish to scrape. You can usually add them one by one or paste a list.
2. Run the Actor: Start the actor. It will begin processing the URLs and scraping the data.
3. View Results: Once the actor has finished, the scraped data for each company page will be available in the actor's dataset.

Example Configuration

If the input editor simplifies to an array of URL strings (common for requestListSources):

{
    "urls": [
        "[https://www.linkedin.com/company/apifytech](https://www.linkedin.com/company/apifytech)",
        "[https://www.linkedin.com/company/google](https://www.linkedin.com/company/google)"
    ]
}

If the input strictly follows the schema's prefill structure of objects:

{
    "urls": [
        {
            "url": "[https://www.linkedin.com/company/apifytech](https://www.linkedin.com/company/apifytech)"
        },
        {
            "url": "[https://www.linkedin.com/company/google](https://www.linkedin.com/company/google)"
        }
    ]
}

Outputs

The actor stores its results in the default dataset. Each item in the dataset represents the scraped information from a single LinkedIn company page.

Sample Output Data (based on Apify's company page):

{
    "entry": "[https://www.linkedin.com/company/apifytech](https://www.linkedin.com/company/apifytech)",
    "data": {
        "companyName": "Apify",
        "companyId": 10608457,
        "locations": [
            {
                "country": "US",
                "city": "San Francisco",
                "geographicArea": "CA",
                "headquarter": false
            },
            {
                "country": "CZ",
                "city": "Prague",
                "postalCode": "11100",
                "line1": "Vodickova 704/36",
                "headquarter": true
            }
        ],
        "employeeCount": 140,
        "callToAction": {
            "displayText": "Visit website",
            "type": "VIEW_WEBSITE",
            "url": "[https://apify.com/](https://apify.com/)"
        },
        "specialities": [
            "Web automation",
            "Web crawling",
            "Web scraping",
            "Serverless",
            "API",
            "AI agents"
        ],
        "employeeCountRange": {
            "start": 51,
            "end": 200
        },
        "similarOrganizations": [
            {
                "name": "TED Conferences",
                "followerCount": 24416552,
                "url": "[https://www.linkedin.com/company/ted-conferences/](https://www.linkedin.com/company/ted-conferences/)",
                "industry": "Non-profit Organization Management"
            }
            // ... other similar organizations
        ]
    }
}

(Note: The sample output is a condensed version for brevity and to highlight key fields.)

Key Implementation Details

• Public Data Focus: This actor primarily targets publicly available information on LinkedIn company pages.
• No Cookies Required: Standard operation does not necessitate LinkedIn session cookies, simplifying setup for public data.
• Rate Limiting Awareness: LinkedIn employs measures to prevent automated scraping. While this actor attempts to be respectful, excessive use or very large lists of URLs might encounter limitations. It's advisable to scrape in moderation and consider using proxies for larger tasks.
• Dynamic Content: LinkedIn's structure can change. The actor is designed based on current layouts, but significant platform updates might affect its performance.

Support

If you encounter any issues, have suggestions, or need help with the LinkedIn Company Scraper, please report an issue through the "Issues" tab in the Apify Console or contact the me via email . Provide as much detail as possible, including your input configuration and any relevant logs.

Happy Scraping!