🔥LinkedIn Job Scraper

What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper collects job listings from LinkedIn based on your search keywords, location, and posting date. Enter a search term such as "software engineer" or "product manager", choose where to look, and the Actor returns structured job data including titles, companies, salaries, descriptions, and application details. It is designed for job market analysis, recruitment research, lead generation, and competitive hiring intelligence.

Why use LinkedIn Jobs Scraper?

• Structured job data at scale - Collect hundreds of LinkedIn job listings in minutes with consistent output fields suitable for databases, analytics, and reporting.
• Flexible search and filtering - Search by keyword, geographic area, and posting time window (24 hours, 7 days, 30 days, or any time). Adjust result limits to match your workflow.
• Automation-ready - Run on demand or schedule repeat collections. Export datasets to JSON, CSV, Excel, or XML. Connect results to Google Sheets, webhooks, or no-code platforms.
• Market and hiring intelligence - Track hiring trends, salary ranges, employer activity, and in-demand skills across industries and locations.

What data can you extract from LinkedIn Jobs?

Field	Description
title	Job position title
company	Name of the hiring organization
location	Geographic location of the position
salary	Salary information when provided by the employer
workType	Employment type (Full-time, Part-time, Contract, etc.)
seniority	Experience level required
jobFunction	Job function category
companyIndustry	Industry sector of the hiring company
postedAt	Relative posting time
applicantsCount	Number of applicants
descriptionText	Full job description in plain text
jobUrl	Direct URL to the LinkedIn job listing

How to use LinkedIn Jobs Scraper

1. Open the Actor on Apify Store.
2. Enter a job title or keywords in the search query field.
3. Optionally set a location filter and posting time range.
4. Set the maximum number of jobs to collect.
5. Run the Actor.
6. Download the dataset or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
query	String	Yes	-	Job title or keywords to search on LinkedIn Jobs
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 job URLs only without detail pages for faster runs
maxConcurrency	Integer	No	5	Number of parallel detail requests (1-20)
proxyConfiguration	Object	No	Apify Proxy	Proxy settings for enhanced reliability

Output Data

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	ISO timestamp of data extraction
searchQuery	String	The search keyword used
searchLocation	String	The location filter applied
searchTimeRange	String	The time range filter used

Usage Examples

Basic Job Search

Collect software engineering jobs in the United States:

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

Filtered Collection by Time and Location

Search for remote marketing jobs posted in the last week:

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

High-Volume Collection with Proxies

Gather data scientist postings from the last 30 days:

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

Fast URL-Only Collection

Collect only job URLs without detail pages for quick scanning:

{
  "query": "backend developer",
  "location": "Germany",
  "maxJobs": 200,
  "collectOnly": true
}

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"
}

Tips for Best Results

• Use specific keywords that match actual job titles. Test different variations to find the most relevant results for your analysis.
• Start with a smaller result limit (20-50 jobs) for testing before scaling up to larger collections.
• Apply time range filters to focus on recent postings. Use "24h" for daily monitoring and "7d" for weekly updates.
• Enable proxy configuration with residential proxies for better success rates on larger collections.
• Some fields such as salary or applicants count may be empty if the employer did not publish that information on the listing.

Integrations

• Google Sheets - Export job data to spreadsheets for analysis and reporting.
• Webhooks - Send run results to downstream systems after each collection.
• Make or Zapier - Connect job data to no-code automations and workflows.
• API - Access datasets programmatically from your own applications.
• CSV, Excel, JSON, XML - Download data in your preferred format from Apify Console.

Frequently Asked Questions

How many jobs can I collect per run?

Up to 1000 jobs per run. The actual number depends on how many results match your search criteria on LinkedIn.

Can I search for jobs in multiple locations?

Yes. Use broader terms such as "United States" or "Europe", or set location to "Worldwide" for global coverage in a single run.

What if some job details are missing from the output?

Some fields are empty when the employer chooses not to publish that information. Salary, applicants count, and seniority level are common examples. Always check multiple results before assuming the Actor missed data.

How often should I run the scraper?

Run frequency depends on your use case. For daily monitoring of new opportunities, use the "24h" time filter and schedule a daily run. For broader market analysis, weekly or monthly runs are sufficient.

Can I filter by company or industry?

Use specific company names or role keywords in your search query. The output includes company name and industry on every result, so you can filter after collection as well.

Does this Actor require a proxy?

The Actor works without a proxy, but using Apify Proxy with residential groups improves reliability, especially for larger collections.

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other formats from the Apify Console.

Is it legal to scrape LinkedIn jobs?

Scraping publicly available job listing data may be legal, but you are responsible for complying with applicable laws, LinkedIn's terms of service, and data privacy regulations.

Related Actors

• Bayt Jobs Scraper - Collect job listings from Bayt.com for Middle East and North Africa markets.
• SimplyHired Job Scraper - Extract job postings from SimplyHired across multiple countries.
• Internshala Scraper - Gather internships and training opportunities from Internshala.

Support

For issues, feature requests, or custom scraping projects, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available LinkedIn job listings. Users are responsible for using the data responsibly and complying with LinkedIn's terms of service, applicable laws, and data privacy regulations.