🔥 LinkedIn Jobs Scraper

The ultimate LinkedIn job search tool! Extract job listings with full details including salary, requirements, and company info. Perfect for job seekers, recruiters, and market researchers.

🌟 Features

• 🔍 Powerful Search: Search by job title, keywords, location, and company
• 📋 Multi-Search: Search multiple titles and locations in a single run
• 📊 Advanced Filters: Filter by job type, experience level, remote options, posting date, distance, and Easy Apply
• 💰 Salary Data: Extracts salary ranges when available
• 📝 Full Descriptions: Complete job descriptions and requirements
• 🏢 Company Details: Company name, logo, industry, and direct links
• 👥 Applicant Count: Number of applicants per job posting
• 📧 Email Extraction: Automatically extracts contact emails from descriptions
• ⚡ Fast & Reliable: Optimized for speed and accuracy

🚀 How to Use

Basic Search

{
  "title": "Software Engineer",
  "location": "San Francisco, CA",
  "rows": 50
}

Multiple Titles & Locations

{
  "titles": ["Software Engineer", "Backend Engineer"],
  "locations": ["San Francisco", "New York", "Remote"],
  "rows": 100
}

Advanced Search

{
  "title": "Data Scientist",
  "location": "New York",
  "publishedAt": "r604800",
  "workType": "2",
  "contractType": "F",
  "experienceLevel": "4",
  "easyApply": true,
  "distance": 25,
  "rows": 100
}

⚙️ Input Parameters

Parameter	Type	Description	Options
title	String	Job title or keywords	Any text
titles	Array	Multiple job titles (overrides title)	["Engineer", "Developer"]
location	String	Job location	City, Country, or "Remote"
locations	Array	Multiple locations (overrides location)	["New York", "London"]
companyId	Array	LinkedIn company IDs	["1441", "76987811"]
publishedAt	Enum	Posting date filter	"" (Any), "r86400" (24h), "r604800" (Week), "r2592000" (Month)
rows	Integer	Number of jobs to fetch	1–200
workType	Enum	Remote filter	"" (All), "1" (On-site), "2" (Remote), "3" (Hybrid)
contractType	Enum	Job type	"" (All), "F" (Full-time), "P" (Part-time), "C" (Contract), "T" (Temporary), "I" (Internship), "V" (Volunteer)
experienceLevel	Enum	Seniority	"" (All), "1" (Internship), "2" (Entry), "3" (Associate), "4" (Mid-Senior), "5" (Director), "6" (Executive)
easyApply	Boolean	Easy Apply jobs only	true / false
distance	Integer	Distance from location in miles	0 (default), 10, 25, 50, 100
proxy	Object	Proxy config	Apify Residential recommended

📤 Output Format

{
  "id": "4334158613",
  "title": "Software Engineer, Fullstack",
  "companyName": "Notion",
  "companyUrl": "https://www.linkedin.com/company/notionhq",
  "companyLogo": "https://media.licdn.com/dms/image/...",
  "companyIndustry": "Software Development",
  "location": "San Francisco, CA",
  "city": "San Francisco",
  "state": "CA",
  "country": "United States",
  "isRemote": false,
  "jobUrl": "https://www.linkedin.com/jobs/view/4334158613",
  "jobUrlDirect": "https://notion.com/careers/apply/...",
  "datePosted": "2024-01-15",
  "salaryMin": 126000,
  "salaryMax": 180000,
  "salaryCurrency": "USD",
  "jobType": ["Full-time"],
  "jobLevel": "Entry level",
  "jobFunction": "Engineering and Information Technology",
  "numApplicants": "Over 200 applicants",
  "description": "We are looking for a talented engineer...",
  "emails": ["careers@notion.com"],
  "easyApply": false,
  "scrapedAt": "2025-11-28T10:30:00Z"
}

💡 Use Cases

👤 Job Seekers

• Find jobs matching your skills and preferences
• Export to CSV/Excel for application tracking
• Monitor new postings in your field

🏢 Recruiters & HR

• Analyze competitor job postings
• Benchmark salaries in your industry
• Track hiring trends

📊 Market Research

• Analyze job market trends
• Study salary distributions
• Identify in-demand skills

📈 Sales & Business Development

• Identify companies that are hiring
• Find growing companies in target industries
• Build lead lists from job postings

💡 Tips for Best Results

1. Use Residential Proxies: Enable Apify residential proxies for best results
2. Be Specific: Precise job titles yield more relevant results
3. Start Small: Test with rows: 25 before scaling up
4. Use Filters: Narrow results with date, type, and experience filters
5. Multi-Search: Use titles + locations arrays to cover multiple markets in one run

📞 Support

Having issues? Check the Issues tab or contact support.

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