Pricing

from $2.64 / 1,000 search jobs

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LinkedIn Jobs Scraper — Search, Company Jobs & Job Details

Try for free

Scrape LinkedIn job postings with the exact posting date, employer logo and LinkedIn URL, apply links, seniority, job function, industries, applicant count and structured salary. Search by keyword, list every open job at up to 10 companies, or batch full details for up to 20 job ids.

Pricing

from $2.64 / 1,000 search jobs

Rating

0.0

(0)

Developer

SIÁN OÜ

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Changelog

All notable changes to LinkedIn Jobs Scraper will be documented in this file.

[2026-09-18]

🎉 LinkedIn Jobs Scraper - Launch!

Exact Posting Dates - Every LinkedIn job search row carries the real calendar date and a UTC timestamp, so freshness is something you compute instead of estimate
Three Operations, One Actor - LinkedIn job search by keyword, every open job at up to 10 companies, and full job details for up to 20 job ids per call
Structured Salary Data - Minimum, maximum, period and currency as separate numeric fields wherever LinkedIn publishes a range
Company Job Lists - Point it at company ids, vanity slugs such as "microsoft", or plain LinkedIn company page URLs
47 Fields Per Job - Description, seniority level, job function, industries, applicant count, hiring badges, employer logo and LinkedIn company page
No LinkedIn Login - Reads public job pages only, so there is no account to connect and no credential to hand over

💎 User Benefits

Recruiters find roles that are fresh and not yet crowded, using posting age and applicant count together
Job boards import only genuinely new postings each day instead of re-importing the same backlog
Analysts build weekly and monthly hiring cohorts that hold up, which relative labels such as "2 weeks ago" cannot support
Existing pipelines add LinkedIn without re-mapping anything: the row shape matches our Jobs Search API actor
You are charged per job returned. Empty searches, closed postings and unreadable inputs are free

🎯 Use Cases

Recruiters and agencies tracking open reqs by seniority, function and applicant count
Strategy teams watching where a competitor is hiring, weeks before it is announced
Compensation analysts building defensible salary bands from real posting ranges
Job board operators filling a niche site with fresh, logo-complete listings
Sales teams turning hiring signals into leads while the req is still open

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