LinkedIn Profile Scraper

Extract comprehensive public LinkedIn profile data without login. Get professional experience, education, skills, articles, recommendations, and more.

Features

• Profile Information - Name, image, location, headline, followers, connections, about section
• Experience - Complete work history with company details, roles, and dates
• Education - Schools, degrees, fields of study, and graduation dates
• Skills - Professional skills and endorsements
• Articles - Published articles and content
• Activity - Recent posts and engagement
• Publications - Published works and research
• Projects - Professional projects and contributions
• Recommendations - Endorsements from colleagues and clients
• Similar Profiles - LinkedIn's suggestions for similar professionals
• Batch Input - Process many profile URLs in one Apify run and write one dataset item per profile
• Caching - Optional caching to reduce costs and improve speed

Input

Field	Type	Required	Description
urls	array	Yes, unless using legacy url	Recommended input. Process multiple LinkedIn profile URLs in one Apify run.
url	string	Yes, unless using urls	Legacy single-profile input. Use urls for normal usage, especially when processing more than one profile.
use_cache	boolean	No	Use cached data if available (default: true)
maximum_cache_age	integer	No	Maximum cache age in seconds (default: 2592000 = 30 days)

Output

Dataset (Profile Data)

Each profile is saved to the dataset with main fields:

{
  "success": true,
  "name": "Bill Gates",
  "location": "Seattle, Washington, United States",
  "followers": 35000000,
  "connections": 500,
  "about": "Co-chair of the Bill & Melinda Gates Foundation...",
  "image": "https://media.licdn.com/...",
  "job_titles": ["Co-chair, Bill & Melinda Gates Foundation"],
  "experience": [...],
  "education": [...],
  "skills": [...],
  "articles": [...],
  "activity": [...],
  "publications": [...],
  "projects": [...],
  "recommendations": [...],
  "similar_profiles": [...]
}

Experience Array

{
  "company": "Microsoft",
  "title": "Co-founder",
  "location": "Redmond, WA",
  "start_date": "1975",
  "end_date": "2008",
  "description": "Co-founded and led Microsoft..."
}

Education Array

{
  "school": "Harvard University",
  "degree": "Bachelor's degree",
  "field": "Applied Mathematics and Computer Science",
  "start_date": "1973",
  "end_date": "1975"
}

Key-Value Store

For legacy single-URL runs, the complete response is saved to the OUTPUT key with all profile data. Batch runs use the dataset as the primary result channel and write a small summary to OUTPUT.

Failed or unavailable profiles are not written to the default dataset, so they are not charged as results. For a single URL, the structured failure is stored in OUTPUT; batch failures are also stored in the FAILURES key.

Example Input

{
  "urls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "use_cache": true,
  "maximum_cache_age": 2592000
}

Example Output

{
  "success": true,
  "name": "Bill Gates",
  "image": "https://media.licdn.com/dms/image/...",
  "location": "Seattle, Washington, United States",
  "followers": 35000000,
  "connections": 500,
  "about": "Co-chair of the Bill & Melinda Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.",
  "job_titles": ["Co-chair, Bill & Melinda Gates Foundation"],
  "experience": [
    {
      "company": "Bill & Melinda Gates Foundation",
      "title": "Co-chair",
      "location": "Seattle, Washington",
      "start_date": "2000",
      "end_date": "Present",
      "description": "Guided by the belief that every life has equal value..."
    }
  ],
  "education": [
    {
      "school": "Harvard University",
      "degree": "Bachelor's degree",
      "field": "Applied Mathematics and Computer Science",
      "start_date": "1973",
      "end_date": "1975"
    }
  ],
  "skills": ["Public Speaking", "Strategic Planning", "Software Development"],
  "articles": [...],
  "activity": [...],
  "publications": [...],
  "projects": [...],
  "recommendations": [...],
  "similar_profiles": [...]
}

Pricing

$0.30 per 1,000 results. No LinkedIn login or additional API keys required.

Put multiple profile URLs in urls when you have a list. This keeps Apify run startup and storage overhead shared across many results while Scrappa does the actual scraping work.

Use Cases

• Recruitment - Find and evaluate candidates for job positions
• Lead Generation - Build prospect lists with professional information
• Market Research - Analyze professional backgrounds in specific industries
• Competitive Intelligence - Research company employees and executives
• Network Analysis - Map professional connections and relationships
• Content Research - Find subject matter experts and thought leaders

Support

For issues or questions, contact us through Apify.