LinkedIn Jobs Scraper (No Login)

Unofficial. This is an independent, unofficial actor and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. "LinkedIn" is a trademark of LinkedIn Corporation.

Scrape LinkedIn job postings by job title, location, company and filters — no login, cookies or LinkedIn account required.

Built on LinkedIn's public guest endpoints, so it never touches your LinkedIn account and cannot get it banned.

How it works

1. Search — queries LinkedIn's public guest search endpoint and parses job cards (title, company, location, posted date, URL).
2. Enrich (optional) — opens each job's public detail page to get the full description, seniority level, employment type, job function, industries and applicant count.
3. Post-filter — applies workplace type, employment type and experience-level filters using the enriched data.
4. Output — pushes clean JSON to the default dataset (exportable as CSV, JSON, Excel, etc.).

Input fields

Field	Type	Description
keywords	string	Job title / search keywords, e.g. Python Developer
location	string	e.g. India, Bengaluru, United States
companyIds	string[]	LinkedIn numeric company IDs (e.g. 1035 = Microsoft)
publishedAt	select	Any Time, Past 24 Hours, Past Week, Past Month
maxRows	number	Max jobs to return (default 50)
easyApplyOnly	boolean	Only Easy Apply jobs
workplaceType	select	On-site, Remote, Hybrid (approximate)
jobType	select	Full-time, Part-time, Contract, Temporary, Internship, etc.
experienceLevel	select	Internship, Entry level, Associate, Mid-Senior level, Director, Executive
enrichDetails	boolean	Fetch full detail per job (default true)
requestDelayMs	number	Delay between requests (default 300)
proxyConfiguration	proxy	Optional Apify proxy (residential recommended at scale)

Output fields (per job)

{
  "jobId": "4445011521",
  "title": "Sr. Python Developer",
  "companyName": "UST",
  "companyLogo": "https://media.licdn.com/dms/image/...",
  "location": "Bengaluru, Karnataka, India",
  "postedAt": "2026-07-30",
  "postedTimeAgo": "2 weeks ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4445011521",
  "description": "...",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "IT Services and IT Consulting",
  "applicantCount": "150 applicants",
  "applyUrl": "https://www.linkedin.com/jobs/view/4445011521/apply",
  "workplaceType": "On-site"
}

Notes & limitations

• Guest endpoints return ~10 results per page. Pagination is automatic.
• Company ID (not name) is used for the company filter. Get the numeric ID from a company's LinkedIn page URL (linkedin.com/company/{slug} page → the numeric id in its page source or via the search URL f_C=).
• Workplace type is approximate — LinkedIn's guest endpoint does not expose it, so it is inferred from the title/location text (Remote / Hybrid keywords).
• Salary only appears when a posting shows it (pay-transparency laws); otherwise it is absent.
• Rate limits: a single IP is usually throttled after ~10 pages. Use residential proxies and increase requestDelayMs for larger runs.
• This accesses public pages under LinkedIn's Terms of Service, which prohibit automated access. Job postings are lower-risk than profiles, but use responsibly and comply with applicable law (GDPR/CCPA for personal data).

Deploy

# via Apify CLI
apify login
apify push

Or import the source into a new Code actor in Apify Console.

Pricing (for Store publishing)

Recommended: pay-per-event model — charge a fixed price per 1,000 results (e.g. $1/1k) rather than a monthly subscription. This undercuts the $29.99/month actors and matches how the top community job scrapers are priced.