🚀 LinkedIn Profile Scraper ⚡ No Login Required

Pricing

Rating

Developer

Actor stats

Categories

Share

Overview

The LinkedIn Profile Scraper is an Apify Actor that extracts structured data from public LinkedIn profiles at scale. It’s ideal for professionals in lead generation, recruitment, research, or CRM enrichment — with no LinkedIn login, cookies, or browser automation required.

✅ No LinkedIn login required | ✅ Bulk profile processing | ✅ Structured JSON output | ✅ High success rate

Complete Profile Data

• Basic Information — Profile ID, name, headline, location
• Professional Summary — About section content
• Current Position — Company name, role, company LinkedIn page
• Work Experience — Complete employment history with dates and descriptions
• Education — Schools, degrees, years attended
• Skills & Certifications — Professional skills and certifications
• Network Data — Follower and connection counts
• Profile Images — Avatar and banner image URLs
• Recent Activity — Liked posts and engagement data
• Related Profiles — "People also viewed" suggestions

Key Features

• No Authentication Required — Works without LinkedIn cookies or login
• Bulk Processing — Handle multiple profile URLs in one run
• Clean JSON Output — Structured, ready-to-use data format
• Real-time Processing — Monitor extraction progress
• High Reliability — Built-in retry mechanisms and error handling

🧾 Input Configuration

Submit an array of LinkedIn profile URLs via Apify’s input:

{
"urls":[
"https://www.linkedin.com/in/williamhgates/",
"https://www.linkedin.com/in/mark-cuban-06a0755b/"
]
}

📤 Output Format

Each profile will return structured fields such as:

{
"id":"jordan-smith-12345678",
"name":"Jordan Smith",
"city":"San Francisco",
"country_code":"US",
"about":"Technology leader with a passion for building scalable web platforms. Over 10 years of experience in SaaS startups.",
"current_company":{
"name":"Nimbus Cloud",
"link":"https://www.linkedin.com/company/nimbus-cloud/",
"company_id":"nimbus-cloud"
},
"people_also_viewed":[
{"name":"Taylor Evans","profile_link":"https://linkedin.com/in/taylor-evans","location":"Los Angeles, CA"},
{"name":"Morgan Lee","profile_link":"https://linkedin.com/in/morgan-lee","location":"New York, NY"}
],
"education":[
{
"title":"University of California, Berkeley",
"start_year":"2010",
"end_year":"2014"
}
],
"courses":[
{"title":"Machine Learning Fundamentals"},
{"title":"Product Management Bootcamp"}
],
"followers":912,
"connections":500,
"projects":[
{
"title":"Launched Nimbus Sync Platform",
"start_date":"Jan 2022",
"end_date":"Present",
"description":"Developed a real-time data sync engine used by over 100,000 users."
}
],
"activity":[
{
"interaction":"Liked by Jordan Smith",
"link":"https://linkedin.com/posts/example123",
"title":"Excited to announce our new funding round!",
"img":"https://media.licdn.com/example123.jpg"
}
],
"avatar":"https://media.licdn.com/avatars/jordan-smith.jpg",
"banner_image":"https://media.licdn.com/banners/banner123.jpg",
"timestamp":"2025-08-02T16:50:01.333Z",
"input_url":"https://www.linkedin.com/in/jordan-smith-12345678/"
}

📊 Output & Export

Dataset Storage

• All extracted data is stored in your Apify dataset
• Each profile becomes one dataset item
• Failed extractions are logged with error details

Export Formats

• JSON — Raw structured data for API integration
• CSV — Spreadsheet-compatible format
• Excel — Formatted spreadsheet with multiple sheets

💼 Common Use Cases

Lead Generation & Sales

• Extract prospect information for outreach campaigns
• Enrich existing lead databases with professional details
• Build comprehensive contact lists with work history

Recruitment & Talent Sourcing

• Research candidate backgrounds and experience
• Build talent pipelines with detailed professional profiles
• Analyze skills and career progression patterns

Market Research

• Study industry professionals and career trends
• Analyze competitor team structures and expertise
• Research target market demographics and backgrounds

CRM Data Enrichment

• Automatically update contact records with LinkedIn data
• Fill missing profile information in bulk
• Maintain current professional information for contacts

✅ Example Use

{
"urls":[
"https://www.linkedin.com/in/sample-profile/"
]
}

After execution, the dataset will contain a full snapshot of the profile(s) with structured fields.