Linkedin Jobs Scraper

🔍 What is LinkedIn Jobs Scraper?

LinkedIn Jobs Scraper automates the process of searching and gathering publicly available job listings from LinkedIn using keyword-based queries. Simply provide job keywords and filters, and the scraper will fetch comprehensive job details from search results such as:

Job Information:

• Job title and description
• Company name and details
• Job URLs and application links
• Location and work type (remote, on-site, hybrid)
• Salary information and benefits

Company Details:

• Company name and URL
• Company verification status
• Company URN and navigation subtitle
• Job insights and metadata

Application Data:

• Easy Apply availability
• Applicant count information
• Application URLs and requirements
• Job posting timestamps

Search Features:

• Keyword-based job search
• Location filtering
• Sort by relevance or recent postings
• Date filtering (past day, week, month)
• Experience level filtering
• Job type filtering (full-time, part-time, contract, etc.)
• Remote work options
• Easy Apply filter
• Under 10 applicants filter

All extracted data is limited strictly to public information—nothing private or sensitive is collected.

💡 Why Search LinkedIn Jobs?

LinkedIn job search provides valuable insights for job seekers and recruiters:

🔎 Job Discovery: Find relevant job opportunities based on specific keywords and criteria.

🧠 Market Research: Monitor job market trends and salary information in real-time.

📈 Career Planning: Identify in-demand skills and job requirements in your field.

🤝 Recruitment: Source candidates and understand job market competition.

📊 Competitive Analysis: Track job postings from competitors and industry leaders.

🎯 Salary Research: Compare salary ranges and benefits across different companies.

⚖️ Is it Legal to Search LinkedIn Jobs?

We prioritize ethical scraping practices.

This scraper only extracts information that companies have chosen to display publicly on LinkedIn. It does not access private data, restricted content, or information behind login walls. All data collection follows LinkedIn's robots.txt guidelines and respects rate limits.

🚀 How to Use

1. Job Keywords: Provide the job title, skills, or keywords to search for

   • Example: software engineer, marketing manager, data scientist

2. Location: Specify the geographic location for job search

   • Example: New York, NY, Remote, United States

3. Sort Options: Choose how to sort results

   • relevant: Sort by relevance to the search keywords
   • recent: Sort by most recent postings

4. Date Posted: Filter jobs by when they were posted

   • day: Jobs from the past day
   • week: Jobs from the past week
   • month: Jobs from the past month

5. Additional Filters:

   • Easy Apply: Show only jobs with Easy Apply option
   • Remote Work: Filter by work type (on-site, remote, hybrid)
   • Under 10 Applicants: Show only jobs with fewer than 10 applicants
   • Experience Level: Filter by required experience (internship, entry, associate, mid-senior, director, executive)
   • Job Type: Filter by employment type (full-time, part-time, contract, internship, other)

6. Maximum Jobs: Set the maximum number of jobs to scrape (minimum 10, default 100)

📊 Output Data Structure

The scraper returns comprehensive job data including:

• Job Details: Title, description, URL, ID, and metadata
• Company Info: Name, URL, verification status, and company details
• Location & Work: Location, work type, and geographic information
• Compensation: Salary information and benefits
• Application: Easy Apply status, applicant count, and application URLs
• Timestamps: Job posting and creation dates
• Search Metadata: Keywords and filters used

🔧 Technical Features

• Advanced Filtering: Multiple filter options for precise job search
• Input Validation: Validates search parameters and provides defaults
• Sorting Options: Sort results by relevance or recency
• Date Filtering: Filter results by publication timeframe
• Pagination: Automatic page handling to reach maximum job limit
• Error Handling: Comprehensive error reporting for failed requests
• Rate Limiting: Respects API rate limits for stable operation
• Resume Capability: Can resume from where it left off

⚠️ Important Notes

• All data is publicly available information only
• Free tier users have rate limits
• Free tier limited to 10 keywords per 100 jobs in total
• To unlock unlimited scraping, subscribe to a paid plan