jobIdjobTitlecompanyNamecompanyUrllocationpostedAtemploymentTypeexperienceLeveljobFunctionindustrysalaryisRemoteskillseasyApplyapplyUrlapplicantsCountjobUrl
4234567890Product ManagerAcme Labshttps://www.linkedin.com/company/acme-labsSan Francisco, CA2026-08-10Full-timeMid-Senior levelProduct ManagementSoftware Development$160,000-$190,000falsePython, SQL, Roadmappingtruehttps://boards.example.com/acme/pm47https://www.linkedin.com/jobs/view/4234567890
4234567891Data AnalystRiver Cohttps://www.linkedin.com/company/river-coNew York, NY (Remote)2026-08-12Full-timeAssociateInformation TechnologyFinancial Services$95,000-$120,000trueSQL, Tableau, Excelfalsehttps://www.linkedin.com/jobs/view/423456789112https://www.linkedin.com/jobs/view/4234567891

Buy this table

Jobs / freelance

LinkedIn jobs | keyword + city

$1.00
Row pack

$5 / 1000 rows · $1 floor

Download sample CSV

For larger packs, list multiple locations or keywords in the request after checkout.

After checkout, the confirmation email has the submit link. We cannot start without it.

Buy a LinkedIn jobs CSV from public LinkedIn pages. Excel or CSV in 24–48 hours, from $1.

What you get

You buy a one-off spreadsheet of public pages. Not an Apify Actor and not a live API. $1 start, $5 per 1000 rows. Excel or CSV in 24–48 hours.

Pull public LinkedIn jobs by keyword and location. No login, no access to your account. Built for recruiting ops, talent maps, pay benchmarks, and hiring-as-a-buying-signal. After checkout, submit your need. We email Excel or CSV within 24–48 hours.

You provide: keyword, city, country/market (~45 hiring markets, or remote), row count. Optional filters to write in the request: company name or LinkedIn company URL, industry, job function, employment type (full-time / part-time / contract / internship), seniority, date posted (24 hours / week / month), workplace (on-site / remote / hybrid), Easy Apply only, whether you need full descriptions.

You get the LinkedIn worker row: jobId, jobTitle, companyName, companyUrl, location, postedAt, jobUrl, and (detail scrape on by default) jobDescription, employmentType, experienceLevel, jobFunction, industry, salary, companyLogo, isRemote, skills, easyApply, applyUrl, applicantsCount, scrapedAt.

  • Market scan: python developer + New York + past week
  • Competitor hiring: a company name or page, new engineering roles
  • Sales signal: head of revops + United States + past 24 hours
  • Fast-apply list: Easy Apply only, with apply URL when LinkedIn shows it

Coverage & limits: Live Guest Jobs search, not a cache. About 45 major markets (US, UK, EU hubs, Japan, Korea, India, Singapore, Brazil, UAE, and more). The logged-out jobs UI often stops after a few dozen to a couple hundred cards — narrow filters can return fewer rows than your pack; split by city, seniority, or date window. Salary shows on roughly 30% of jobs (more in NY, CA, WA, CO and many EU countries). Easy Apply, apply URL, and applicant count come from the detail page and can be blank. Jobs only — not member profiles or InMail.

FAQ

Do I log in or share a LinkedIn account? No. Same public jobs surface a logged-out visitor sees.

How fresh is it? Live fetch at run time. A job posted an hour ago can show up.

Why fewer rows than I bought? LinkedIn may have fewer matches, the public UI may stop loading, or cards without a title/URL are skipped. Broaden location or date, or split the search.

Why is salary empty? Many employers do not disclose it. When they do, you get range, currency, and period.

Download sample CSV

Example requests

  • LinkedIn python developer New York CSV
  • LinkedIn head of revops United States CSV
  • Buy LinkedIn jobs CSV
  • LinkedIn jobs spreadsheet

Common questions

Do i log in or share a linkedin account for jobs

No. Guest-visible pages only. After checkout, submit city or keyword with the email link. Excel or CSV in 24–48 hours.

How fresh is it for LinkedIn jobs

Each job is a snapshot of public pages at run time, not a cached or streaming API.

Why fewer rows than i bought for LinkedIn jobs

A pack is a row cap. Narrow filters can return fewer rows than the pack you bought.