Professional Linkedin Job Scraper

A powerful and reliable Apify actor for scraping LinkedIn job postings with advanced filtering capabilities. Perfect for recruiters, job seekers, HR professionals, and market researchers who need comprehensive job market data.

🚀 Features

Advanced Filtering Options

• Company Targeting: Search by specific company names or LinkedIn company IDs
• Job Title Filtering: Target specific roles and positions
• Location-Based Search: Find jobs in specific cities, regions, or worldwide
• Experience Level: Filter by entry-level, mid-senior, executive positions
• Job Type: Full-time, part-time, contract, internship, volunteer
• Workplace Type: On-site, remote, or hybrid positions
• Publish Date: Recent postings (past 24 hours, week, month)

Comprehensive Data Extraction

Each job posting includes:

• Job title, company, and location
• Full job description and requirements
• Salary information (when available)
• Application count and posting date
• Company details and industry information
• Application type (Easy Apply vs External)
• Job poster information
• Employment type and seniority level
• Application status (accepting applications or expired)

Professional Features

• Proxy Support: Built-in Apify proxy integration for reliable scraping
• Rate Limiting: Intelligent request throttling to avoid blocking
• Error Handling: Robust error recovery and retry mechanisms
• Data Quality: Comprehensive data validation and cleaning
• Scalable: Handle large-scale job searches efficiently

📋 Input Parameters

Required Fields

• rows: Maximum number of job postings to scrape (default: 25)

Optional Filtering

• title: Job title to search for (e.g., "Software Engineer")
• companyName: Company name to filter by (e.g., "Google")
• companyId: LinkedIn company ID for precise targeting
• location: Geographic location (e.g., "San Francisco, CA")
• workplaceType: "on-site", "remote", or "hybrid"
• jobType: "full-time", "part-time", "contract", "internship", "volunteer"
• experienceLevel: "Entry", "Associate", "Mid-Senior", "Director", "Executive"
• publishedAt: "past 24 hours", "past week", "past month", "any time"

Technical Configuration

• proxy: Proxy configuration object
  • useApifyProxy: Use Apify's proxy service (recommended)
  • apifyProxyGroups: Proxy groups like ["RESIDENTIAL"]
• cookies: LinkedIn session cookies (required for full functionality)

🔧 Usage Examples

Basic Job Search

{
  "title": "Data Scientist",
  "location": "New York, NY",
  "rows": 50,
  "publishedAt": "past week",
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Company-Specific Search

{
  "companyName": "Microsoft",
  "title": "Product Manager",
  "workplaceType": "remote",
  "experienceLevel": "Mid-Senior",
  "rows": 25,
  "proxy": {
    "useApifyProxy": true
  }
}

Multi-Company Research

{
  "companyId": ["1035", "1441", "2382910"],
  "jobType": "full-time",
  "location": "San Francisco Bay Area",
  "rows": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

📊 Output Format

Each job posting is returned as a structured JSON object:

{
  "id": "4130891547",
  "title": "Senior Software Engineer",
  "companyName": "TechCorp Inc.",
  "location": "San Francisco, CA",
  "salary": "$120,000 - $180,000/year",
  "jobUrl": "https://www.linkedin.com/jobs/view/4130891547",
  "companyUrl": "https://www.linkedin.com/company/techcorp",
  "description": "Full job description...",
  "contractType": "Full-time",
  "experienceLevel": "Mid-Senior level",
  "workType": "Engineering",
  "sector": "Technology",
  "applicationsCount": "50+ applicants",
  "postedTime": "2 days ago",
  "publishedAt": "2024-01-15",
  "applyType": "EASY_APPLY",
  "isAcceptingApplications": true,
  "scrapedAt": "2024-01-17T10:30:00.000Z"
}

🔒 Authentication & Setup

LinkedIn Cookies (Required)

To access full LinkedIn functionality, you need to provide session cookies:

1. Log into LinkedIn in your browser
2. Open Developer Tools (F12)
3. Go to Application/Storage → Cookies → linkedin.com
4. Copy the cookie values, particularly li_at
5. Format as a cookie string: li_at=YOUR_TOKEN; other_cookie=value

Proxy Configuration (Recommended)

For reliable scraping, use Apify's proxy service:

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

⚡ Performance & Limits

• Concurrency: Optimized single-threaded crawling to avoid rate limits
• Rate Limiting: 2-5 second delays between requests
• Memory: 4GB recommended for large scraping jobs
• Timeout: 24-hour maximum runtime
• Scale: Efficiently handles 1000+ job postings per run

🎯 Use Cases

For Recruiters

• Source candidates from competitor companies
• Analyze job market trends and salary ranges
• Identify hiring patterns and requirements
• Build prospect lists for outreach

For Job Seekers

• Monitor new opportunities at target companies
• Track salary trends in your field
• Analyze job requirements and skills demand
• Set up automated job alerts

For Market Research

• Analyze hiring trends across industries
• Study company growth patterns
• Research compensation data
• Track remote work adoption

For HR Professionals

• Benchmark job descriptions and requirements
• Analyze competitor hiring strategies
• Study market salary ranges
• Monitor industry talent demand

🛡️ Compliance & Ethics

This scraper respects LinkedIn's public job posting data and implements:

• Respectful rate limiting
• User-agent rotation
• Proper error handling
• No personal profile scraping

Please ensure your usage complies with LinkedIn's Terms of Service and applicable data protection laws.

📞 Support

For questions, issues, or feature requests, please contact our support team through the Apify platform.

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Keywords: LinkedIn scraper, job scraping, recruitment automation, job market research, HR technology, talent acquisition, employment data