LinkedIn Jobs Scraper — No Login, No Account Risk

Scrape LinkedIn job listings at scale from the public jobs index. No login, no cookies, no account to get banned. Filter by keywords, location, date, job type, experience level, and workplace type. Optionally pull each job's full description, seniority, employment type, function, industries, and applicant count.

What does LinkedIn Jobs Scraper do?

This actor extracts job listings from LinkedIn's public jobs search — the same logged-out index you see in an incognito window. Because it never logs in, there is no account at risk and nothing for LinkedIn to ban. It runs as pure HTTP with a real browser TLS fingerprint, so it is fast and reliable.

Give it search filters or paste a LinkedIn jobs search URL, and it returns clean, structured job data ready for your dataset, CRM, or analytics pipeline. On the Apify platform you get scheduling, API access, exports (JSON/CSV/Excel), and residential proxy support out of the box.

Why use this scraper?

• No account risk — public data only, no cookies, no login, no bans.
• Structured filters — keywords, location, date posted, job type, experience, workplace type. No need to hand-craft URLs (but you can).
• Full job details — optional one-extra-request enrichment per job for description and criteria.
• Cheap — public job data is the lowest-cost LinkedIn target. Built for high volume.
• Clean output — deduplicated by job ID, structured fields, ready to use.

Perfect for: job-market research, recruiting and sourcing, competitive hiring analysis, salary benchmarking, building job boards, and lead generation for recruiting agencies.

How to use it

1. Enter Keywords (e.g., python developer) and a Location (e.g., London).
2. Optionally narrow with Date Posted, Job Types, Experience Levels, Workplace Type.
3. Set Maximum Results (LinkedIn caps each search at ~1000).
4. Leave Scrape Full Job Details on for descriptions and criteria, or turn it off for a faster, lighter run.
5. Click Save & Start. Results stream into the dataset.

Advanced: paste full LinkedIn jobs search URLs into Search URLs (build them in an incognito window, logged out) to override the structured filters.

Input

Field	Description
keywords	Job title or keywords
location	City, region, or country
datePosted	any / past_month / past_week / past_24h
jobTypes	full_time, part_time, contract, temporary, internship, volunteer
experienceLevels	internship, entry, associate, mid_senior, director, executive
workplaceTypes	on_site, remote, hybrid
searchUrls	Advanced: paste full LinkedIn jobs search URLs (overrides filters)
maxResults	Max jobs per search (≤1000)
scrapeDetails	Fetch each job's detail page (description + criteria)
proxyConfiguration	Residential proxies recommended for large runs

Output

{
  "jobId": "4425526234",
  "title": "Python Developer",
  "company": "hackajob",
  "companyUrl": "https://uk.linkedin.com/company/hackajob",
  "location": "London, England, United Kingdom",
  "postedDate": "2026-06-08",
  "postedText": "2 weeks ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4425526234",
  "description": "We are looking for a Python Developer...",
  "seniority": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "applicants": "Over 200 applicants"
}

You can download the dataset as JSON, CSV, Excel, or XML from the Storage tab.

Data fields

Field	Description
jobId	LinkedIn job posting ID
title	Job title
company / companyUrl	Hiring company and its LinkedIn page
location	Job location
postedDate / postedText	ISO date and relative text
jobUrl	Direct link to the posting
description	Full job description (when details enabled)
seniority	Seniority level
employmentType	Full-time, contract, etc.
jobFunction	Job function
industries	Industry
applicants	Applicant count when shown

How much does it cost to scrape LinkedIn jobs?

Job listings are the cheapest LinkedIn data to scrape because they are fully public. Turn off Scrape Full Job Details for the lightest, fastest runs; turn it on when you need descriptions and criteria (one extra request per job).

Tips

• Use residential proxies for large runs — LinkedIn rate-limits datacenter IPs.
• LinkedIn caps each search at ~1000 results. To pull more, split into narrower searches (by city, by date window, by job type) and run them as multiple searchUrls.
• Details off = faster + cheaper. Leave it off if you only need title, company, location, and link.

FAQ

Do I need a LinkedIn account? No. This scrapes the public, logged-out jobs index. No login, no cookies.

Is this legal? It scrapes publicly available data. Courts have upheld scraping public LinkedIn data, but you are responsible for complying with applicable laws and LinkedIn's terms for your use case.

Why am I getting fewer than 1000 results? LinkedIn's public index caps each individual search. Split into narrower searches to get more coverage.

For bugs or feature requests, open an issue on the actor's Issues tab.

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Pricing & cost estimator

Pay-per-event: $2.00 per 1,000 jobs (from 2026-10-16). You are charged only for rows that contain data; empty or failed targets are free. A 100-item run typically costs well under $0.50 in total. Use maxItems / the per-link cap to control spend.

Example output (real run)

{
  "jobId": "4472640743",
  "title": "Data Analyst",
  "company": "Zelis",
  "companyUrl": "https://www.linkedin.com/company/zelis",
  "location": "Cottonwood Heights, UT",
  "postedDate": "2026-10-01",
  "postedText": "6 hours ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/data-analyst-at-zelis-4472640743",
  "description": "At Zelis, we Get Stuff Done. So, let’s get to it!\nA Little About Us\nZelis is modernizing t…",
  "seniority": "Not Applicable",
  "employmentType": "Full-time",
  "industries": "Professional Services",
  "applicants": "70 applicants"
}

Limitations

Results depend on how many public listings LinkedIn exposes for a search; very broad searches are split into sub-searches. Some fields (applicant count, salary) appear only when LinkedIn shows them publicly.

No login, no cookies

This actor only reads public LinkedIn job-search pages (the guest view). It never asks for a cookie, password or account and does not access private data. Make sure your use of the scraped data complies with the source site's terms and applicable law (GDPR/CCPA for personal data).

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LinkedIn jobs scraper — FAQ & use cases

Do I need a LinkedIn login or cookies? No — it reads LinkedIn's public job listings only, so there is no account risk. What do I get? Job title, company, location, posted date, seniority, employment type, industries, applicants and the full description; filter by keyword, location, date posted, job type, experience level and workplace type. How do I export? JSON, CSV or Excel from the dataset, or via the Apify API. Pricing: pay per event, $2 per 1,000 jobs (from 2026-10-16). Use cases: job-market and salary research · recruitment and lead generation (hiring signals) · competitor hiring tracking · job board aggregation.

LinkedIn job scraper: title, company, location & more

A job scraper for LinkedIn listings by keyword and location: job title, company, company location and posted date, seniority and employment type for each of the listed companies, exported to JSON, CSV or Excel — login and cookies are not required.

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