LinkedIn Company Information Scraper

Extract comprehensive company data from LinkedIn including company details, employees, posts, funding information, and much more.

Features

• ✅ Scrape detailed company profiles
• ✅ Get employee listings
• ✅ Extract recent company posts
• ✅ Retrieve funding & investor data
• ✅ Find similar and affiliated companies
• ✅ Export all data in structured format

How It Works

Two-Step Process:

1. Generate Snapshot ID: Submit company URLs to start scraping
2. Fetch Data: After 30 seconds, retrieve your complete company data

Input

Action Selection

• Generate Snapshot ID: Start a new scraping job
• Fetch Data: Retrieve results from a completed job

Input Fields

For Generate Snapshot ID:

• LinkedIn Company URLs (required): Company page URLs, one per line

For Fetch Data:

• Snapshot ID (required): The ID from the generate step

Input Examples

Step 1: Start Scraping

{
  "action": "generate_snap_id",
  "urls": "https://www.linkedin.com/company/microsoft/\nhttps://www.linkedin.com/company/google/\nhttps://www.linkedin.com/company/apple/"
}

Step 2: Get Data (Wait 30 seconds!)

{
  "action": "fetch_data",
  "snap_id": "linkedIn_profile_s_company456"
}

Data Extracted

Company Information

• Company name and ID
• Headquarters location
• All office locations
• Company description
• Industries and specialties
• Company size
• Organization type
• Website URL
• Logo and cover images
• Founded year
• Follower count
• Employee count on LinkedIn

Employee Data

• Employee names
• Job titles
• Profile links
• Profile pictures

Company Activity

• Recent posts and updates
• Post engagement (likes, comments, shares)
• Post content (text, images, videos)
• Post dates

Business Details

• Funding information
• Investor lists
• Crunchbase URL
• Similar companies
• Affiliated companies

Example Output

{
  "name": "Microsoft",
  "headquarters": "Redmond, Washington",
  "locations": [
    "Seattle, WA",
    "New York, NY",
    "San Francisco, CA"
  ],
  "about": "Every company has a mission. What's ours? To empower every person and every organization on the planet to achieve more...",
  "specialties": [
    "Business Software",
    "Developer Tools",
    "Cloud Computing",
    "Artificial Intelligence"
  ],
  "industries": [
    "Software Development",
    "IT Services and IT Consulting"
  ],
  "company_size": "10,001+ employees",
  "organization_type": "Public Company",
  "website": "https://www.microsoft.com",
  "founded": 1975,
  "followers": 20540000,
  "employees_in_linkedin": 221000,
  "employees": [
    {
      "name": "Satya Nadella",
      "title": "Chairman and CEO at Microsoft",
      "link": "https://www.linkedin.com/in/satyanadella/",
      "image": "https://..."
    }
  ],
  "updates": [
    {
      "title": "Introducing Microsoft AI",
      "text": "We're excited to announce...",
      "date": "2024-01-15",
      "likes": 12500,
      "comments": 450,
      "images": ["https://..."]
    }
  ],
  "similar_companies": [
    {
      "name": "Google",
      "type": "Software Company",
      "location": "Mountain View, California"
    }
  ]
}

Step-by-Step Guide

1. Prepare URLs

Collect LinkedIn company page URLs you want to scrape

2. Generate Snapshot ID

• Set action to "Generate Snapshot ID"
• Paste company URLs (one per line)
• Run the actor
• Save the snapshot ID you receive

3. Wait 30 Seconds

The scraping process needs time to collect all data

4. Fetch Your Data

• Set action to "Fetch Data"
• Enter your snapshot ID
• Run the actor
• Data appears in your dataset!

Important Notes

⚠️ 30-Second Wait Required Always wait at least 30 seconds between generating and fetching. Premature fetching may result in errors.

⚠️ Valid URLs Only Use complete LinkedIn company page URLs like: https://www.linkedin.com/company/company-name/

Use Cases

Business Intelligence

• Competitive analysis and benchmarking
• Market research and industry trends
• Company profiling for investments

Sales & Marketing

• Lead generation and qualification
• Account-based marketing research
• Customer discovery

Recruitment

• Company research for job seekers
• Talent pool analysis
• Employer branding insights

Investment Research

• Due diligence on potential investments
• Funding and growth tracking
• Competitor landscape analysis

Tips & Best Practices

Getting Complete Data

• Use official company pages (not showcase pages)
• Larger companies have more employee data
• Recent companies may have limited history

Batch Processing

• Scrape multiple companies at once
• No limit on number of companies per run
• Each URL on a new line

Data Quality

• Verify company URLs before scraping
• Check that pages are public
• Some data may be limited based on LinkedIn's visibility rules

Common Questions

Q: How recent are the company posts? A: The most recent posts available on the company's LinkedIn page, typically the last 10-20 posts.

Q: Can I get all employees of a company? A: You'll get a sample of employees featured on the company page. For complete employee lists, use the People Search actor.

Q: What if the company has multiple locations? A: All listed locations will be included in the output.

Q: How often is the data updated? A: Data is scraped in real-time when you run the actor, so it's always current.

Q: Can I scrape private companies? A: Only publicly visible information on LinkedIn will be extracted.

Data Export Options

Export your data in multiple formats:

• JSON: For developers and API integration
• CSV: For Excel and data analysis
• Excel: Ready-to-use spreadsheets
• XML: For system integration
• RSS: For feed readers

Pricing

• Charged per company scraped
• No additional fees for employee data or posts
• Snapshot IDs valid for 24 hours

Error Handling

"Data not ready"

→ Wait longer (up to 60 seconds for large companies)

"Invalid URL"

→ Check that you're using company page URLs, not personal profiles

"Snapshot expired"

→ Generate a new snapshot ID

Privacy & Compliance

• Only public LinkedIn data is collected
• No login or cookies required
• Complies with public data access
• Use responsibly and ethically

Support

Need help?

1. Check the run logs for detailed error messages
2. Verify your input format matches the examples
3. Contact Apify support for technical issues

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Start scraping company data today! 🏢