🚀 Fresh LinkedIn Profile Data

The Fresh LinkedIn Profile Data Scraper is a powerful tool designed to extract detailed profile information from public LinkedIn URLs — without the need for cookies or login. It provides both personal and company-related insights, and even attempts to discover email addresses and phone numbers if available.

✨ Features

• 👤 Full Personal Profile Extraction
  Retrieve names, current title, headline, about section, work experience, education, skills, languages, certifications, open profile status, and more.

• 🍪 No Cookies Required
  The scraper works without any LinkedIn login or cookies — simplifying setup and execution.

• 🏢 Company Information
  Automatically collects data like company name, industry, website, employee count, and LinkedIn URL for the associated organization.

• 📧 Email and Mobile Number Discovery
  Attempts to extract the email address and mobile number from the profile when available.

🛠️ How It Works

1. 🔗 Input
   Provide a valid LinkedIn profile URL.

2. ▶️ Run the Scraper
   Start the actor to extract rich profile data in real time — results will be available in Apify's Dataset tab.

📥 Input Example

{
  "linkedin_url": "https://www.linkedin.com/in/sample-profile"
}

📤 Output Example

{
  "fullName": "John Doe",
  "headline": "Senior Software Engineer at Example Corp",
  "connection_count": 3775,
  "email": "john.doe@example.com",
  "phone": "+1 555 123 4567",
  "experience": [...],
  "education": [...],
  "company": "Example Corp",
  "company_description": "You’re more than a business, agency or organization leader...",
  "company_domain": "vzbiz.biz",
  "company_employee_count": 16459,
  "company_employee_range": "10001+",
  "company_industry": "IT Services and IT Consulting",
  "company_linkedin_url": "https://www.linkedin.com/company/verizonbusiness",
  "company_logo_url": "https://media.licdn.com/dms/image/...",
  "company_website": "https://vzbiz.biz/3M52BFD",
  "company_year_founded": 1988,
  "country": "United States",
  "current_company_join_month": 1,
  "current_company_join_year": 2017,
  "current_job_duration": "8 yrs 7 mos",
  "follower_count": 3990,
  "full_name": "Cung Nguyen",
  "headline": "Distinguished Solution Architect - Verizon Public Sector",
  "hq_city": "Basking Ridge",
  "hq_country": "US",
  "hq_region": "NJ",
  "is_creator": true,
  "is_influencer": false,
  "is_premium": false,
  "is_verified": true,
  "job_title": "Distinguished Solution Architect",
  "languages": [
    {
      "name": "Chinese",
      "proficiency": "elementary"
    },
    {
      "name": "English",
      "proficiency": "native or bilingual"
    },
    {
      "name": "French",
      "proficiency": "professional working"
    },
    {
      "name": "Spanish",
      "proficiency": "elementary"
    },
    {
      "name": "Vietnamese",
      "proficiency": "native or bilingual"
    }
  ],
  "last_name": "Nguyen",
  "linkedin_url": "https://www.linkedin.com/in/john/",
  "location": "Washington DC-Baltimore Area",
  "profile_id": "26684052",
  "profile_image_url": "https://media.licdn.com/dms/image/...",
  "public_id": "joe",
  "school": "The Johns Hopkins University",
  "state": "Washington DC",
  "urn": "abcd1234"
}