✅ LinkedIn Jobs Scraper — No Cookies · No Login · Global Job Search API

Scrape LinkedIn jobs in bulk with no login and no cookies. Enter keywords and a location — the scraper automatically collects job postings across cities and countries, deduplicates them, and returns a clean structured list with full descriptions, salaries, applicant counts, and powerful filters. Use it as a LinkedIn jobs API, a bulk LinkedIn job scraper, or a scheduled job feed for n8n, Make, and the Apify API.

Pay per job — and pay nothing when a search returns no results.

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Why Choose This LinkedIn Jobs Scraper

• 🔓 No cookies, no login, no ban risk — your LinkedIn account is never involved.
• 🌍 Global — search any country or city, with accurate location matching.
• 📈 High-volume — collects significantly more jobs than typical LinkedIn scrapers.
• 📝 Full job details — description, seniority, employment type, function, industry, applicants, and best-effort salary.
• 🎯 Smart filters — date posted, seniority, job type, remote/hybrid, company, exact-title match, and recruiter-spam removal.
• 🧹 Clean data — automatic deduplication and stable job IDs, ready for CSV/JSON export.
• 💸 Fair pricing — pay per job delivered, free on empty. No upfront monthly fee.
• 🔌 Automation-ready — n8n, Make, scheduling, and a simple API.

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How It Compares

Feature	This Scraper	Typical LinkedIn jobs scrapers
No cookies / no login	✅	⚠️ often require a cookie
Works globally (any country/city)	✅	⚠️ frequently US-only
High-volume job collection	✅	❌ often returns fewer than 50
Full descriptions & job criteria	✅	⚠️ partial
Applicant count	✅	❌ rarely
Exact-title relevance filter	✅	⚠️ "returns unrelated titles"
Recruiter / staffing-spam filter	✅	❌ almost none
Deduplication + stable job ID	✅	⚠️ inconsistent
Pricing	✅ pay per job, free on empty	❌ flat monthly or charge-on-empty
n8n / Make / API ready	✅	⚠️ varies

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Use Cases

LinkedIn Jobs Scraper (No Cookies)

Enter a job title and location and get a structured list of LinkedIn job postings — job ID, title, company, company page, location, and posting date — with no login or cookies required.

LinkedIn Jobs Scraper API (Bulk Job Search)

Use the LinkedIn Jobs Scraper API to pull large volumes of jobs per search — a true bulk LinkedIn job search API for aggregators, feeds, and market research.

LinkedIn Jobs with Full Descriptions & Salaries

Enable full details to add the complete description, seniority, employment type, job function, industry, applicant count, and best-effort salary — ideal for job boards and labor-market research.

LinkedIn Remote Jobs Scraper

Filter to remote, hybrid, or on-site roles to build a focused remote-jobs feed for boards, newsletters, and candidate alerts.

LinkedIn Job Data Export (CSV / JSON)

Get clean, deduplicated LinkedIn job data with stable IDs and export to CSV, Excel, or JSON, or pull it via API into your spreadsheets, BI tools, and databases.

LinkedIn Job Listing, Vacancies & Feeds

Turn any search into a live LinkedIn job feed — collect each LinkedIn job listing and LinkedIn vacancies by role, location, or company to power job boards, alerts, and market dashboards.

LinkedIn Jobs Scraper for n8n, Make & API

Trigger it from n8n or Make, schedule recurring runs, and consume results through the Apify API or the JavaScript/Python SDKs — perfect for job-alert bots and ATS sync.

Company & Recruiter Targeting

Scrape all jobs for one company, keep only titles that match your keywords, and remove recruiter / staffing-agency postings — filters most scrapers don't offer.

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Who Uses This

Use Case	Who It's For
Job board & aggregator feeds	Job boards, ATS vendors, HR tech
Recruiting & talent sourcing	Recruiters, sourcers, staffing firms
Salary & labor-market research	Analysts, researchers, comp teams
Job-alert automation (n8n / Make)	Automation builders, indie hackers
Lead generation from hiring signals	Sales & B2B prospecting teams

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Input

Field	Description
keywords	Job search keywords (Boolean syntax supported). Required.
location	Location name (e.g. United States, Berlin, London). Leave empty for global.
postedWithin	24h, 7d, 30d, or any.
seniority	Internship, Entry, Associate, Mid-Senior, Director, Executive.
jobType	Full-time, Part-time, Contract, Temporary, Internship, Volunteer.
workplace	On-site, Remote, Hybrid.
company	Optional company name — returns all jobs for that company.
exactTitleMatch	Keep only jobs whose title contains all your keywords.
excludeRecruiters	Drop recruiting / staffing-agency postings.
maxResults	Maximum jobs per search.
includeDescription	Fetch each job's full description and details.
dedupe	Remove duplicate postings by job ID (default on).

Example input

{
  "keywords": "data engineer",
  "location": "Berlin",
  "workplace": ["remote"],
  "postedWithin": "7d",
  "excludeRecruiters": true,
  "maxResults": 1000,
  "includeDescription": true
}

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Output

Each dataset item is one LinkedIn job posting:

{
  "jobId": "4370317193",
  "title": "Software Engineer (New Grads)",
  "company": "Giga",
  "companyUrl": "https://www.linkedin.com/company/gigaml",
  "location": "San Francisco, CA",
  "postedAt": "2026-05-27",
  "jobUrl": "https://www.linkedin.com/jobs/view/4370317193",
  "activelyHiring": true,
  "description": "About Giga …",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industry": "Software Development",
  "applicants": "Over 200 applicants",
  "salaryText": "$160K - $250K",
  "source": "linkedin",
  "scrapedAt": "2026-05-29T03:08:02.191Z"
}

The core fields are always present. activelyHiring is true when LinkedIn shows the Actively Hiring badge on the posting. Description, criteria, applicants, and salary are added when Include full descriptions & details is enabled. Each job includes its public LinkedIn jobUrl, where you can view and apply.

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Pricing

Pay per job delivered. $0 when a search returns nothing. No flat monthly fee, no charge for empty runs — you only pay for the unique jobs you actually receive.

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Integrations & Automation

• n8n / Make — trigger runs and use the results in your workflows.
• API & SDKs — start runs and fetch the dataset via the Apify API or the JavaScript/Python SDKs.
• Scheduling — run daily or weekly for fresh job feeds and alerts.
• Export — Dataset → Export → CSV / Excel / JSON, or auto-export to Google Sheets.

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FAQ

Does this LinkedIn jobs scraper need a cookie or login? No. No cookies, no login, no account — and therefore no ban risk.

How many jobs can it return per search? It collects significantly more jobs than most LinkedIn scrapers. Use maxResults to control the volume, and combine with date, seniority, or location filters to target exactly what you need.

Does it include salaries? Salary is included on a best-effort basis from the job description when the posting mentions it.

Can I view and apply to the jobs? Yes — every job includes its public LinkedIn jobUrl, where the Apply button lives.

Can I run it from n8n, Make, or the API? Yes. Trigger it from n8n/Make or via the Apify API and SDKs, and export to CSV/JSON.

Is it legal? It extracts only publicly available job postings. You are responsible for compliance with LinkedIn's Terms and applicable laws (GDPR, CCPA, etc.) when using the data.

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• ⭐ Star it at the top of the page to bookmark it and help others find it.
• 📝 Leave a review — even one sentence on your use case helps us prioritize the next filter or field.

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Related Apify Actors

• LinkedIn Scrapers — profile, company, and post scrapers
• Job Scrapers — Indeed, Google Jobs, and more
• All Jobs Actors — the full Apify jobs catalog

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Support & Feedback

Found a bug or want a new filter or field?

• Open an issue on the actor's Issues tab in the Apify Console.
• Feature requests are welcome — especially new filters, fields, or job boards.