⚡️Linkedin Profile Scraper ✅ No cookie ✅ $2 per 1k profiles avatar
⚡️Linkedin Profile Scraper ✅ No cookie ✅ $2 per 1k profiles

Pricing

$2.00 / 1,000 profiles

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⚡️Linkedin Profile Scraper ✅ No cookie ✅ $2 per 1k profiles

⚡️Linkedin Profile Scraper ✅ No cookie ✅ $2 per 1k profiles

Scrape unlimited LinkedIn profiles at the lowest price on the market. Extract complete work history, education, skills & certifications without account risk. Live data, 99% success rate, enterprise-grade speed.

Pricing

$2.00 / 1,000 profiles

Rating

5.0

(1)

Developer

Data Weave

Data Weave

Maintained by Community

Actor stats

0

Bookmarked

7

Total users

5

Monthly active users

3 days ago

Last modified

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🚀 LinkedIn Profile Scraper

Extract complete LinkedIn profile data without risking your account. Get work experience, education, skills, certifications, location data and more. Live extraction, enterprise speed, affordable pricing.


✨ Features

👤 Complete Profile Extraction

Extract comprehensive professional data from any public LinkedIn profile:

  • Personal Information: Full name, headline, summary, location, profile picture, URN identifiers
  • Work Experience: Complete job history with company details, positions, descriptions, durations, skills used
  • Education: Degrees, schools, fields of study, date ranges, duration details
  • Skills & Certifications: Professional skills list and verified certifications with license numbers
  • Social Metrics: Premium status, verified badge, creator/influencer flags, profile update timestamps
  • Languages: Language proficiency levels (Native, Professional, Limited Working, etc.)
  • Company Data: Current employer details including company URN, LinkedIn URL, and basic info
  • Profile Metadata: Join date, open-to-work status, entity URNs, and last update information

🔥 Why Choose This Scraper?

No LinkedIn Account Required - Zero cookies, zero login, zero risk to your personal account
Affordable Pricing - Cost-effective solution for mass profile extraction
Live Real-Time Data - Fresh information pulled directly from active profiles
99%+ Success Rate - Enterprise-grade reliability with automatic error handling
Lightning Fast - High-speed concurrent processing for bulk operations
Structured JSON Output - Clean, organized data ready for immediate use


🛠️ How It Works

1️⃣ Input

Provide LinkedIn profile URLs in an array:

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

2️⃣ Run the Scraper

Start the actor to extract rich profile data in real time. Results will be available in Apify's Dataset tab within seconds.

3️⃣ Get Results

Receive comprehensive structured data in JSON format, ready to use in your applications, CRM, or databases.


📥 Input Example

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

📤 Output Example

{
"objectUrn": 123456789,
"locationName": "San Francisco, California, United States",
"firstName": "John",
"lastName": "Smith",
"headline": "Senior Software Engineer | Tech Innovation | Building scalable solutions",
"url": "https://www.linkedin.com/in/john-smith-sample",
"publicIdentifier": "john-smith-sample",
"summary": "Experienced software engineer passionate about building innovative products...",
"picture": "https://media.licdn.com/dms/image/profile-photo.jpg",
"entityUrn": "ACoAABxxxxxBxE_sample",
"openToWork": false,
"premium": true,
"verified": true,
"creator": false,
"influencer": false,
"contactInfoUpdated": "Updated 3 months ago",
"joinedDate": "January 2015",
"profilePhotoUpdated": "Updated 6 months ago",
"certifications": [
{
"startYear": 2022,
"startMonth": 6,
"durationMonth": 0,
"durationYear": 3,
"name": "AWS Certified Solutions Architect",
"authority": "Amazon Web Services",
"setLicenseNumber": "AWS-SA-12345"
},
{
"startYear": 2020,
"startMonth": 3,
"endYear": 2025,
"endMonth": 3,
"durationMonth": 1,
"durationYear": 5,
"name": "Google Cloud Professional",
"authority": "Google Cloud",
"url": "https://cloud.google.com/certification",
"setLicenseNumber": "GCP-12345"
}
],
"educations": [
{
"startYear": 2010,
"startMonth": 9,
"endYear": 2014,
"endMonth": 6,
"durationMonth": 10,
"durationYear": 3,
"degreeName": "Bachelor of Science",
"fieldOfStudy": "Computer Science",
"schoolName": "Stanford University"
},
{
"startYear": 2014,
"startMonth": 9,
"endYear": 2016,
"endMonth": 6,
"durationMonth": 10,
"durationYear": 1,
"degreeName": "Master of Science",
"fieldOfStudy": "Artificial Intelligence",
"schoolName": "Massachusetts Institute of Technology"
}
],
"positions": [
{
"startYear": 2023,
"startMonth": 1,
"durationMonth": 11,
"durationYear": 2,
"companyName": "Tech Solutions Inc",
"companyUrn": 987654,
"companyUrl": "https://www.linkedin.com/company/987654",
"title": "Senior Software Engineer",
"description": "- Leading development of cloud-based solutions\n- Mentoring junior developers\n- Architecture design and implementation",
"locationName": "San Francisco, CA",
"skills": "Skills: Python · JavaScript · AWS · Docker · Kubernetes",
"current": true
},
{
"startYear": 2020,
"startMonth": 3,
"endYear": 2023,
"endMonth": 1,
"durationMonth": 11,
"durationYear": 2,
"companyName": "Tech Solutions Inc",
"companyUrn": 987654,
"companyUrl": "https://www.linkedin.com/company/987654",
"title": "Software Engineer",
"description": "- Developed microservices architecture\n- Implemented CI/CD pipelines\n- Collaborated with cross-functional teams",
"skills": "Skills: Node.js · React · MongoDB · Git",
"current": false
},
{
"startYear": 2016,
"startMonth": 7,
"endYear": 2020,
"endMonth": 2,
"durationMonth": 8,
"durationYear": 3,
"companyName": "StartupXYZ",
"companyUrn": 123789,
"companyUrl": "https://www.linkedin.com/company/123789",
"title": "Full Stack Developer",
"description": "- Built web applications from scratch\n- Managed database design and optimization\n- Participated in agile development process",
"skills": "Skills: Ruby on Rails · PostgreSQL · Redis · HTML/CSS",
"current": false
}
],
"skills": [
{
"skillName": "Python"
},
{
"skillName": "JavaScript"
},
{
"skillName": "AWS"
},
{
"skillName": "Docker"
},
{
"skillName": "Kubernetes"
},
{
"skillName": "Node.js"
},
{
"skillName": "React"
},
{
"skillName": "MongoDB"
},
{
"skillName": "System Design"
},
{
"skillName": "Microservices"
}
],
"languages": [
{
"name": "English",
"level": "NATIVE_OR_BILINGUAL"
},
{
"name": "Spanish",
"level": "PROFESSIONAL_WORKING"
},
{
"name": "French",
"level": "LIMITED_WORKING"
}
]
}

📊 Output Data Structure

The scraper returns comprehensive profile data including:

  • Personal Info: Name, headline, location, summary, profile URLs, URN identifiers
  • Professional Info: Current company, complete experience history with descriptions and skills, education details
  • Social Metrics: Premium status, verified badge, creator/influencer status, profile update timestamps
  • Certifications: Certificates with authority, license numbers, URLs, and validity periods
  • Languages: Language proficiency levels (Native, Professional, Limited Working, Elementary)
  • Skills: Comprehensive list of professional skills
  • Media: Profile pictures and company URLs
  • Metadata: Join date, open-to-work status, entity URNs, contact info update dates

💡 Use Cases

🔎 Lead Generation & Sales

  • Find decision-makers and key contacts for B2B outreach
  • Build targeted prospect lists with verified professional data
  • Enrich CRM data with up-to-date LinkedIn information

🤝 Recruitment & Talent Sourcing

  • Source candidates with specific skills and experience
  • Build talent pools for future hiring needs
  • Research professional backgrounds before interviews

📊 Market Research & Competitive Analysis

  • Analyze industry trends and professional patterns
  • Research competitors' team structures and key personnel
  • Track workforce movements and hiring trends

🌐 Professional Networking

  • Identify potential business partners and collaborators
  • Map industry connections and relationships
  • Build contact databases for networking events

Categories: Developer tools | Lead generation | Social media