LinkedIn Jobs Scraper

Extract comprehensive job listings from LinkedIn with detailed information including titles, companies, locations, salaries, and full descriptions. This tool is perfect for job market analysis, recruitment research, competitive intelligence, and employment data gathering at scale.

Features

• Complete Job Data - Captures job titles, employer details, locations, salary ranges, applicant counts, employment types, seniority levels, and full job descriptions
• Flexible Search - Search by keywords, locations, and time filters (24 hours, 7 days, 30 days, or any time)
• High Reliability - Built-in error handling, retry mechanisms, and session management ensure consistent data collection
• Proxy Support - Works with residential proxies for stable access and reduced blocking
• Customizable Output - Control result limits and concurrency levels to match your needs
• Structured Results - Clean JSON output ready for databases, analytics, and reporting tools

Use Cases

Job Market Research

Analyze current hiring trends, salary ranges, and in-demand skills across industries and locations. Track how job requirements evolve over time.

Recruitment Analytics

Discover where competitors are hiring, what roles they prioritize, and how they position job opportunities. Understand talent acquisition patterns in your industry.

Data Analysis and Reporting

Build comprehensive employment datasets for business intelligence. Create reports on geographic job distribution, industry growth, and skill demand.

Career Planning

Research salary expectations, job requirements, and career opportunities in specific fields. Identify high-demand roles and emerging job categories.

Automated Monitoring

Schedule regular runs to track new job postings, monitor specific companies, or watch for opportunities matching your criteria.

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Input Parameters

Parameter	Type	Required	Default	Description
query	String	Yes	-	Job title or keywords to search (e.g., "software engineer")
location	String	No	"United States"	Geographic area for the job search
timeRange	String	No	"anytime"	Posting time filter: "24h", "7d", "30d", or "anytime"
maxJobs	Integer	No	20	Maximum number of job listings to collect (1-1000)
collectOnly	Boolean	No	false	When enabled, collects only job URLs for faster processing
maxConcurrency	Integer	No	5	Number of simultaneous requests (1-20)
proxyConfiguration	Object	No	-	Proxy settings for enhanced reliability

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Output Data

Each item in the dataset contains the following fields:

Field	Type	Description
jobId	String	Unique identifier for the job posting
jobUrl	String	Direct URL to the LinkedIn job listing
title	String	Job position title
company	String	Name of the hiring organization
companyUrl	String	Link to the company's LinkedIn page
companyLogo	String	URL of the company logo image
location	String	Geographic location of the position
salary	String	Salary information (when provided by employer)
applicantsCount	String	Number of applicants
workType	String	Employment type (Full-time, Part-time, etc.)
seniority	String	Experience level required
jobFunction	String	Job function category
companyIndustry	String	Industry sector
postedAt	String	When the job was posted
descriptionText	String	Plain-text version of the job description
descriptionHtml	String	HTML version of the job description
collectedAt	String	Timestamp of data extraction
searchQuery	String	The search keyword used
searchLocation	String	The location filter applied
searchTimeRange	String	The time range filter used

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Usage Examples

Basic Job Search

Search for software engineering positions:

{
    "query": "software engineer",
    "location": "United States",
    "maxJobs": 50
}

Advanced Filtering

Search for remote marketing jobs posted in the last week:

{
    "query": "marketing manager",
    "location": "Remote",
    "timeRange": "7d",
    "maxJobs": 100,
    "maxConcurrency": 3
}

High-Volume Collection

Gather extensive data for market analysis:

{
    "query": "data scientist",
    "location": "Worldwide",
    "timeRange": "30d",
    "maxJobs": 500,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "jobId": "4334367155",
    "jobUrl": "https://www.linkedin.com/jobs/view/4334367155",
    "title": "Senior Software Engineer",
    "company": "Tech Innovations Inc",
    "companyUrl": "https://www.linkedin.com/company/tech-innovations",
    "companyLogo": "https://media.licdn.com/demo/logo.png",
    "location": "San Francisco, CA",
    "salary": "$150,000 - $200,000",
    "applicantsCount": "Over 100 applicants",
    "workType": "Full-time",
    "seniority": "Mid-Senior level",
    "jobFunction": "Engineering and Information Technology",
    "companyIndustry": "Software Development",
    "postedAt": "1 week ago",
    "descriptionText": "Join our team to build cutting-edge solutions...",
    "descriptionHtml": "<p>Join our team to build cutting-edge solutions...</p>",
    "collectedAt": "2026-07-13T10:30:00Z",
    "searchQuery": "software engineer",
    "searchLocation": "United States",
    "searchTimeRange": "anytime"
}

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Tips for Best Results

Optimize Search Terms

Use specific keywords that match actual job titles. Combine related terms for broader coverage. Test different variations to find the most relevant results.

Manage Collection Size

Start with smaller batches (20-50 jobs) for testing and validation. Increase limits gradually based on your data needs and proxy capacity.

Use Time Filters

Apply time range filters to focus on recent postings. The "24h" filter is ideal for daily monitoring while "7d" works well for weekly updates.

Configure Proxies

Enable proxy configuration for better success rates, especially for larger collections. Residential proxies provide the best reliability.

Monitor Performance

Review sample outputs to verify data quality. Adjust concurrency settings to balance speed and stability.

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Proxy Configuration

For reliable results, residential proxies are recommended:

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Integrations

Connect your data with:

• Google Sheets - Export for analysis and reporting
• Airtable - Build searchable job databases
• Slack - Get notifications for new opportunities
• Webhooks - Send data to custom endpoints
• Make - Create automated job monitoring workflows
• Zapier - Trigger actions based on job postings

Export Formats

Download data in multiple formats:

• JSON - For developers and APIs
• CSV - For spreadsheet analysis
• Excel - For business reporting
• XML - For system integrations

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Frequently Asked Questions

How many jobs can I collect?

You can collect up to 1000 jobs per run. The practical limit depends on your search criteria and available results from LinkedIn.

Can I search for jobs in multiple locations?

Yes, use broader location terms like "United States" or "Europe", or set location to "Worldwide" for global results.

What if some job details are missing?

Some fields may be empty if the source does not provide that information. Salary data, for example, is only included when employers choose to list it.

How often should I run the scraper?

Run frequency depends on your needs. For current opportunities, daily or weekly runs are common. Use the "24h" time filter for daily monitoring.

Can I filter by company or industry?

Use specific keywords in your search query to target particular companies or roles. The output includes company name and industry for each job.

Does this work without a proxy?

The tool works without a proxy, but using residential proxies significantly improves reliability, especially for larger collections.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.