Fast LinkedIn Jobs Scraper

Extract comprehensive job data from LinkedIn with ease. Collect job listings including titles, companies, locations, and descriptions at scale. Perfect for job market research, recruitment, and career analysis.

Features

• Comprehensive Data Extraction — Collect job titles, company details, locations, and full descriptions
• Flexible Search Options — Support for keyword searches and direct LinkedIn URLs
• High Success Rates — Reliable data collection with automatic retries
• Scalable Collection — Handle large volumes of job listings efficiently

Use Cases

Job Market Research

Analyze current job trends and salary ranges across industries. Identify in-demand skills and emerging opportunities.

Recruitment Automation

Streamline candidate sourcing by collecting relevant job postings. Build comprehensive databases for talent acquisition.

Career Planning

Research job opportunities in specific locations or industries. Compare requirements and benefits across positions.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	LinkedIn jobs search URL or direct job URL
keyword	String	No	software engineer	Job keyword used when startUrl is not provided
location	String	No	—	Location to search in
posted_date	String	No	anytime	Time filter: 24h, 7d, 30d, or anytime
results_wanted	Number	No	20	Maximum number of jobs to collect
max_pages	Number	No	50	Manual list-pagination cap (recommended 50 for large targets like 500 jobs)
maxConcurrency	Number	No	10	Maximum number of parallel detail requests
proxyConfiguration	Object	No	—	Proxy settings for the actor

Output Data

Each item in the dataset contains:

Field	Type	Description
jobUrl	String	Direct link to the job posting
jobId	String	Unique LinkedIn job identifier
title	String	Job position title
company	String	Company name
companyUrl	String	LinkedIn company page URL
companyLogo	String	Company logo URL when available
location	String	Job location
locationCountry	String	Country for the job location when available
listedAtText	String	Human-readable posting time from search cards
listedAtIso	String	ISO posting date when available
datePosted	String	Canonical posting date
validThrough	String	Expiration date when available
employmentType	String	Employment type from structured job data
workType	String	Employment type (Full-time, Part-time, etc.)
seniority	String	Experience level required
jobFunction	String	Job function category
companyIndustry	String	Employer industry classification
applicantsCount	String	Applicants count text when shown
salary	String	Salary text shown in job detail
salaryCurrency	String	Salary currency code
salaryMinValue	Number	Minimum salary value when available
salaryMaxValue	Number	Maximum salary value when available
salaryUnitText	String	Salary period (e.g. YEAR, MONTH)
descriptionText	String	Plain text job description
descriptionHtml	String	HTML formatted job description
source	String	Data source identifier
endpoint	String	Endpoint group used for the record
collectedAt	String	Timestamp of data collection
searchQuery	String	Search keywords used
searchLocation	String	Location filter applied
searchTimeRange	String	Time range filter applied

Usage Examples

Basic Keyword Search

Extract jobs using specific keywords:

{
  "keyword": "Software Engineer",
  "location": "San Francisco, CA",
  "results_wanted": 50
}

Advanced Filtering

Apply time and location filters for targeted results:

{
  "keyword": "Data Scientist",
  "location": "Remote",
  "posted_date": "7d",
  "results_wanted": 100
}

URL-Based Collection

Scrape from specific LinkedIn search URLs:

{
  "startUrl": "https://www.linkedin.com/jobs/search/?keywords=developer&location=New%20York",
  "results_wanted": 25
}

Sample Output

{
  "jobUrl": "https://www.linkedin.com/jobs/view/1234567890",
  "jobId": "1234567890",
  "source": "linkedin-guest",
  "endpoint": "jobs-guest/jobs/api/jobPosting",
  "title": "Senior Software Engineer",
  "company": "Tech Company Inc.",
  "companyUrl": "https://www.linkedin.com/company/tech-company",
  "companyLogo": "https://media.licdn.com/dms/image/C4E0BAQ...",
  "location": "San Francisco, CA",
  "locationCountry": "US",
  "listedAtText": "1 week ago",
  "listedAtIso": "2026-02-20",
  "datePosted": "2026-02-20T08:00:00.000Z",
  "validThrough": "2026-03-21T08:00:00.000Z",
  "employmentType": "FULL_TIME",
  "applicantsCount": "20 applicants",
  "salary": "$140,000 - $185,000 /yr",
  "salaryCurrency": "USD",
  "salaryMinValue": 140000,
  "salaryMaxValue": 185000,
  "salaryUnitText": "YEAR",
  "workType": "Full-time",
  "seniority": "Mid-Senior level",
  "jobFunction": "Engineering",
  "companyIndustry": "Technology, Information and Internet",
  "descriptionText": "We are looking for a Senior Software Engineer...",
  "descriptionHtml": "<p>We are looking for a Senior Software Engineer...</p>",
  "collectedAt": "2026-02-28T12:00:00.000Z",
  "searchQuery": "Software Engineer",
  "searchLocation": "San Francisco, CA",
  "searchTimeRange": "7d"
}

Tips for Best Results

Optimize Search Terms

Use specific job titles and skills for better results. Combine multiple keywords to narrow down opportunities.

Choose Relevant Locations

Specify cities or regions to focus on local job markets. Use "Remote" for work-from-home positions.

Set Appropriate Limits

Start with smaller result counts for testing. Increase for comprehensive data collection.

Proxy Configuration

For reliable results, residential proxies are recommended:

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

Integrations

Connect your data with:

• Google Sheets — Export for analysis
• Airtable — Build searchable databases
• Slack — Get notifications
• Webhooks — Send to custom endpoints
• Make — Create automated workflows
• Zapier — Trigger actions

Export Formats

Download data in multiple formats:

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

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 proxy configuration.

Can I scrape multiple locations?

Yes, use the location parameter or include location in your keywords for multi-location searches.

What if job descriptions are missing?

Some jobs may not have descriptions available. The actor will collect all available data.

How often should I run the scraper?

Run as needed for fresh data. LinkedIn updates frequently, so daily or weekly runs work well.

Can I filter by salary?

Salary information is included when available from LinkedIn, but not used as a search filter.

Support

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

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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.