LinkedIn Profile Extractor (No Login Required)

Bulk-extract rich LinkedIn profile data — experience, education, skills, certifications, and more — with country filtering. No cookies, no login, no account risk. Lightning-fast concurrent scraping powered by Harvest API.

What does LinkedIn Profile Extractor do?

This actor takes a list of LinkedIn profile URLs, public identifiers, or profile IDs and returns structured, detailed data for each profile. It is designed for recruiters, sales teams, researchers, and anyone who needs LinkedIn profile data at scale without managing browser sessions or risking account bans.

Use Cases

• Lead generation — Extract profile data for sales prospecting and outreach campaigns
• Recruiting & talent sourcing — Build candidate pipelines by collecting work history, skills, and education from target profiles
• Market research — Analyze professional demographics, job titles, and skill distributions across industries
• CRM enrichment — Enrich your existing contact database with fresh LinkedIn profile data
• Competitive intelligence — Monitor employee movement and team composition at target companies
• Academic research — Study workforce trends, career paths, and professional networks

Key Features

• No cookies or login required — Access publicly available profile data without sharing credentials or risking account restrictions
• Real-time scraping — Fresh data scraped on every run, never cached or stale
• Bulk processing — Scrape thousands of profiles with high-concurrency parallel requests
• Country filtering — Select one or more countries from a dropdown to only keep profiles from those locations
• Flexible input — Accept profile URLs, public identifiers (usernames), or numeric profile IDs
• Migration-safe — State is automatically preserved across Apify actor migrations, so no work is lost

Pricing

$4 per 1,000 profiles.

Input

Target URLs (recommended)

The simplest way to use this actor. Provide LinkedIn profile URLs or public identifiers:

{
  "queries": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/towhid-rahman",
    "satyanadella"
  ]
}

Country Filter

Select countries from the dropdown to only keep profiles from those locations. Profiles from other countries are automatically skipped. Leave empty to keep all profiles.

{
  "countryFilter": ["United States", "United Kingdom"],
  "queries": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/towhid-rahman"
  ]
}

Advanced Input

For more control, use the dedicated fields under the Advanced section:

• Profile URLs — Full LinkedIn profile URLs (e.g., https://www.linkedin.com/in/williamhgates)
• Public Identifiers — The username portion of a profile URL (e.g., williamhgates)
• Profile IDs — LinkedIn numeric profile IDs

{
  "countryFilter": ["Israel", "Germany"],
  "urls": ["https://www.linkedin.com/in/williamhgates"],
  "publicIdentifiers": ["satyanadella", "towhid-rahman"],
  "profileIds": ["123456789"]
}

Output

Results are exported as a dataset in JSON, CSV, or Excel format via the Apify console or API. The dataset includes two views:

• Overview — A summary table with name, headline, location, connections, and followers
• Detailed — Full table with all fields including experience, education, skills, and more

Output Fields

Field	Type	Description
id	string	LinkedIn profile ID
publicIdentifier	string	Public username / URL slug
firstName	string	First name
lastName	string	Last name
headline	string	Profile headline
about	string	About / summary section
location	string	Location (city, state, country)
connectionsCount	number	Number of connections
followerCount	number	Number of followers
experience	array	Work experience history with titles, companies, dates, and descriptions
education	array	Education history with schools, degrees, and dates
skills	array	Skills and endorsements
certifications	array	Professional certifications
languages	array	Languages spoken
projects	array	Projects listed on profile
publications	array	Publications
websites	array	Websites listed on profile

Example Output

{
  "id": "12345678",
  "publicIdentifier": "williamhgates",
  "firstName": "Bill",
  "lastName": "Gates",
  "headline": "Co-chair, Bill & Melinda Gates Foundation",
  "about": "Co-chair of the Bill & Melinda Gates Foundation. Techno-optimist. Eli and Rory's dad.",
  "location": "Seattle, Washington, United States",
  "connectionsCount": 500,
  "followerCount": 35000000,
  "experience": [
    {
      "title": "Co-chair",
      "companyName": "Bill & Melinda Gates Foundation",
      "startDate": "2000-01",
      "endDate": null,
      "location": "Seattle, WA",
      "description": "Working to help all people lead healthy, productive lives..."
    },
    {
      "title": "Co-founder",
      "companyName": "Microsoft",
      "startDate": "1975-04",
      "endDate": "2006-06",
      "location": "Redmond, WA",
      "description": null
    }
  ],
  "education": [
    {
      "schoolName": "Harvard University",
      "degreeName": null,
      "fieldOfStudy": null,
      "startDate": "1973",
      "endDate": "1975"
    },
    {
      "schoolName": "Lakeside School",
      "degreeName": null,
      "fieldOfStudy": null,
      "startDate": null,
      "endDate": "1973"
    }
  ],
  "skills": ["Technology", "Philanthropy", "Software Development", "Public Speaking"],
  "certifications": [],
  "languages": ["English"],
  "projects": [],
  "publications": [],
  "websites": ["https://www.gatesnotes.com"]
}

Technical Details

• Built with Apify SDK and TypeScript
• Powered by Harvest API for reliable LinkedIn data retrieval
• High-concurrency worker pool for fast bulk processing
• Automatic state persistence across Apify actor migrations
• Pay-per-event billing — you only pay for successfully scraped profiles
• Memory footprint: 128-512 MB

Disclaimer

This tool is not affiliated with, endorsed by, or connected to LinkedIn Corporation in any way. It accesses only publicly available profile data through the Harvest API. Use of this actor is subject to LinkedIn's Terms of Service and all applicable data protection laws and regulations. Users are solely responsible for ensuring their use complies with all relevant terms of service, privacy regulations (including GDPR, CCPA, and similar frameworks), and local laws. The developers assume no liability for any misuse or legal consequences arising from the use of this tool.