LinkedIn Job Scraper

Scrape LinkedIn Jobs by keyword, location and filters — and get structured results in seconds. No login, no cookies, no browser automation.

For every job you get the title, company, location, posted date, applicant count, salary info (when LinkedIn shows it), seniority level, employment type, job function, industries, the full job description, and the apply link.

What is it for?

• Lead generation — find companies that are hiring (a hiring signal is a buying signal) and feed them into your outreach
• Recruitment & market research — track who is hiring for what roles, where, and at which seniority
• Competitor monitoring — watch rivals' hiring to spot new products, teams and markets early
• Job boards & aggregators — keep your listings fresh with structured, deduplicated job data

Input

Field	Description
Keywords	Job title, skill or company, e.g. software engineer
Location	City, region or country, e.g. United States, London, United Kingdom, Remote
LinkedIn Jobs search URLs	Optional. Paste full linkedin.com/jobs/search/... URLs to scrape exactly those searches (keyword fields are then ignored)
Date posted	Any time, past 24 hours, past week or past month
Job type	Full-time, Part-time, Contract, Temporary, Internship, Volunteer, Other
Experience level	Internship → Executive
Work type	On-site, Remote, Hybrid
Sort by	Most relevant or most recent
Maximum jobs	Cap the run so testing stays fast and cheap
Scrape full job details	On: full description, criteria, applicants, apply link. Off: fast card-only run (title/company/location/posted date)
Proxy	Residential proxies recommended — LinkedIn rate-limits datacenter IPs quickly

Example input:

{
  "keywords": "software engineer",
  "location": "United States",
  "datePosted": "pastWeek",
  "workType": ["remote"],
  "maxItems": 50,
  "scrapeJobDetails": true
}

Output

One dataset item per job:

{
  "id": "4419969671",
  "title": "Senior Software Engineer – Go (Golang)",
  "companyName": "General Motors",
  "companyUrl": "https://www.linkedin.com/company/general-motors",
  "companyLogo": "https://media.licdn.com/...",
  "location": "United States",
  "jobUrl": "https://www.linkedin.com/jobs/view/4419969671",
  "applyUrl": "https://www.linkedin.com/jobs/view/4419969671",
  "postedAtText": "1 day ago",
  "postedAt": "2026-10-23",
  "applicantsText": "37 applicants",
  "salaryText": null,
  "seniorityLevel": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Motor Vehicle Manufacturing",
  "descriptionText": "Full job description as plain text…",
  "descriptionHtml": "<p>Full job description as HTML…</p>",
  "searchUrl": "…",
  "scrapedAt": "2026-10-24T00:00:00.000Z"
}

Export to JSON, CSV or Excel, or pull results through the Apify API and integrations (Zapier, Make, Google Sheets, webhooks).

Pricing

Two plans only — Starter and Business. There is no free plan for this Actor.

Charge	Starter	Business	When
Result (result)	$3.00 / 1,000 results ($0.003 per job)	$2.00 / 1,000 results ($0.002 per job)	For every job actually saved to the dataset. Duplicates and failed jobs are never charged.
Apify Proxy traffic (proxy-traffic)	$0.80 / 1,000 units ($0.0008 per 100 KB)	$0.80 / 1,000 units ($0.0008 per 100 KB)	Per 100 KB of traffic through Apify Proxy, metered from the responses the Actor downloads. Only charged when Apify Proxy is used.
Actor start (apify-actor-start)	$0.00005	$0.00005	Once per run start (per GB of memory), charged by Apify.

Example: 1,000 jobs with full details ≈ $3.00 in results on Starter ($2.00 on Business) + roughly $1–2 of proxy traffic + $0.00005 start.

Tips

• Start with Maximum jobs = 25 and details on to check the output shape, then scale up.
• Narrow with Date posted = Past 24 hours + a schedule (Apify Schedules) for a daily fresh-jobs feed.
• Turn details off for cheap, wide scans; turn them on when you need descriptions for filtering or enrichment.
• Jobs are deduplicated automatically, even across multiple search URLs in one run.

Notes & limits

• This Actor reads LinkedIn's public (logged-out) job pages. Jobs that LinkedIn only shows to logged-in users will not appear.
• LinkedIn rate-limits aggressively; very large runs need residential proxies and still run at a steady pace by design.
• Only scrape data you are allowed to use, and respect LinkedIn's terms and applicable law.