LinkedIn Jobs Scraper — Keyword & Location Search avatar

LinkedIn Jobs Scraper — Keyword & Location Search

Pricing

from $1.00 / 1,000 results

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LinkedIn Jobs Scraper — Keyword & Location Search

LinkedIn Jobs Scraper — Keyword & Location Search

Extract LinkedIn job listings without login: title, company, location, posted date, URL. Search by keyword and optional location, up to ~1,000 results per query.

Pricing

from $1.00 / 1,000 results

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Mind Momentum

Mind Momentum

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a day ago

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Scrape job listings from LinkedIn Jobs — the world's largest professional job board — with no login, no cookies, and no account. Get clean, structured job postings with title, company, location, posted date, and URL for any keyword and location. Ideal for recruiting pipelines, market mapping, and job-market monitoring.

What you get

One dataset item per job posting:

FieldTypeDescription
titlestringJob title exactly as posted
companystringEmployer name
locationstring/nullCity/region as shown on the listing
salarystring/nullSalary text when the listing shows one (rare on search results — usually null, never fabricated)
postedstring/nullPosting date (ISO YYYY-MM-DD)
urlstringCanonical link to the job posting

Input

FieldTypeDescription
keywordstring (required)Search keyword, e.g. software engineer or marketing
locationstringOptional location as free text, e.g. United States, Austin, Texas, London. Leave empty for worldwide results
max_pagesintegerPages to crawl — the first page returns ~60 listings, each further page ~10 (default 5, max 100)
proxyConfigurationobjectResidential proxy (default on the Apify platform)

Advanced filters: since LinkedIn's 2026 search update, experience level, job type and remote/on-site are expressed in the keyword itself (e.g.

senior remote python developer
), and recent postings can be targeted with words like
posted this week
. Keep the keyword natural-language.

How much data per run?

A default run (5 pages) yields ~100 unique job postings. LinkedIn limits any single guest search to roughly 1,000 results, so a single query tops out there regardless of max_pages. For broader coverage, fan out across locations and keywords — each run is fast and you pay only per result.

Schedule runs daily or weekly for job-board monitoring: postings churn fast, and the posted date makes delta-tracking trivial.

Pricing

Pay-per-event: $1 per 1,000 results + $0.005 per actor start. A typical default run (~100 results) costs about $0.105.

Notes

  • No LinkedIn account, cookies, or login required — the actor uses LinkedIn's public job-search pages.
  • Residential proxy is used automatically on the Apify platform. Keep the default proxy settings.
  • Requests are throttled politely to stay reliable at scale.
  • Results are deduplicated by job ID and URL before output.
  • Salary is only present when a listing shows it publicly; otherwise the field is null (never invented).
[
{
"title": "Marketing Executive",
"company": "Magnum Tuff India Private Limited",
"location": "New Market, OH",
"salary": null,
"posted": "2026-08-08",
"url": "https://in.linkedin.com/company/magnum-tuff-india-private-limited"
},
{
"title": "Marketing and Communications",
"company": "NewsletterJobs.io",
"location": "Indiana, United States",
"salary": null,
"posted": "2026-08-07",
"url": "https://www.linkedin.com/company/newsletterjobs-io"
},
{
"title": "Local Store Marketer",
"company": "Texas Roadhouse",
"location": "Port Arthur, TX",
"salary": null,
"posted": "2026-08-13",
"url": "https://www.linkedin.com/company/texas-roadhouse"
}
]