LinkedIn Jobs Scraper — Job Listings, Salaries & Applicants

Scrape public LinkedIn job listings without login, cookies or browser: title, company, company page, location, posting date, salary (when shown) and job URL. Turn on details to add the full description, seniority level, employment type, job function, industries and applicant count.

Use the same filters as the LinkedIn jobs page: date posted, remote / hybrid / on-site, job type, experience level and sort order. Or paste a search URL straight from linkedin.com/jobs.

Built for job boards and aggregators, recruiters and staffing agencies, salary and hiring-trend research, and sales teams that use hiring as a buying signal.

Why this one

• No login, no cookies: reads LinkedIn's public guest job pages, so your account is never at risk.
• All the page filters: date posted, workplace type, job type, experience level, most recent first.
• Applicant count and seniority in detailed mode, parsed into numbers where possible (applicantsCount).
• Exclude words from titles (e.g. "senior", "intern"); skipped jobs are not charged.
• Duplicates removed across your searches.

Input

Remote data analyst jobs in the US posted this week, with details:

{
  "searchQueries": ["data analyst", "analytics engineer"],
  "location": "United States",
  "datePosted": "pastWeek",
  "workplaceTypes": ["remote"],
  "maxJobsPerSearch": 200,
  "includeDetails": true
}

Or reuse a search you made on LinkedIn:

{
  "startUrls": ["https://www.linkedin.com/jobs/search/?keywords=react&location=Berlin&f_TPR=r604800&f_WT=2"]
}

Output

Field	Description
jobId, title, url	job
company, companyUrl, companyLogo	company
location, postedAt, postedText, salary, benefits	from the results list
description, seniority, employmentType, jobFunction, industries	detailed mode
applicants, applicantsCount, salaryDetail, postedAgo	detailed mode
search	which search returned the job

Example output

One real item from a test run (long texts and lists shortened):

{
  "type": "job",
  "jobId": "4474775632",
  "title": "Data Analyst II, Customer Reporting",
  "company": "Spring Health",
  "companyUrl": "https://www.linkedin.com/company/spring-health",
  "location": "San Francisco, CA",
  "postedAt": "2026-10-24",
  "postedText": "2 days ago",
  "salary": null,
  "benefits": "Actively Hiring",
  "url": "https://www.linkedin.com/jobs/view/4474775632",
  "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQHZCho81K6g4Q/company-logo_100_100/B4EZW0IMGxH0AQ-/0/1742483800806/spring_health_logo?e=2147483647&v=beta&t=bLDodp...",
  "description": "Our mission: eliminating every barrier to mental health.\nSpring Health is a global mental health company on a mission to eliminate every barrier to mental he...",
  "seniority": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": null,
  "industries": "Mental Health Care",
  "applicants": "Over 200 applicants",
  "applicantsCount": 200,
  "salaryDetail": "$106,500.00/yr - $135,000.00/yr",
  "postedAgo": "2 days ago",
  "search": "data analyst"
}

Tips

• LinkedIn shows up to about 1,000 jobs per search. For more, split by city or region, or narrow with filters.
• Schedule a run every day with Past 24 hours to get only new jobs.
• Salary appears only when the employer publishes it (common in the US, rarer elsewhere).

Feedback

Found a problem or need a field? Open an issue in the Issues tab: every issue is read and answered. If the actor helped you, a review on the Store helps a lot.

How much does it cost?

You pay only for results delivered, at a fixed price per item. Apify platform usage is included in that price, so there are no compute costs on top. Errors and items that couldn't be found are free.

What you get	Price	Example
Job with details	$0.002 each	1,000 jobs with details = $2.00
Job listing	$0.0008 each	1,000 job listings = $0.80

The Apify Free plan includes $5 of monthly credit, enough for about 2,500 jobs with details per month at no cost. You can also set a maximum spend per run.

On paid Apify plans it gets cheaper automatically: 10% off on Starter, 20% on Scale and 30% on Business.