LinkedIn Jobs Scraper - Search & Export
Pricing
from $0.03 / 1,000 result extracteds
Export public LinkedIn jobs by keyword, location, filters, or URL. Collect company details, descriptions, salary and applicant signals when available; download CSV, Excel, or JSON.
Job titles, skills, company names, or search phrases. Keywords are searched in addition to supplied URLs. For URL-only collection, omit keywords or send an empty list; clear the form's example keyword. When both keywords and URLs are omitted, the search is software engineer. A company keyword is not an exact company-ID filter.
LinkedIn location text for keyword searches, such as United States, London, Berlin, or Remote.
Optional numeric LinkedIn company ID strings for generated keyword searches (f_C). Not company names; explicit search URLs keep their own filters. LinkedIn controls public search coverage.
[]Optional numeric LinkedIn geographic ID. For generated keyword searches, replaces location text. Explicit URLs are unchanged.
Optional distance query control, 0–100 miles, for generated keyword searches. LinkedIn may normalize or ignore unsupported distances; not a locally enforced geographic guarantee.
Send LinkedIn's f_EA=true control for generated keyword searches. This requests the under-10-applicants search filter, not a guarantee of current applicant counts; public counts can be absent or stale.
Skip numeric job ID strings before search-detail requests and result billing, or before any fetch for a known direct job. Repeated IDs are counted once as excluded, then as duplicates.
[]Case-insensitive literal substrings; any included term must match when nonempty. Trimmed terms, not regex. Search-card titles are checked before details; direct titles require fetching first. No second check against changed detail titles.
[]Reject any case-insensitive literal title substring, taking precedence over includes. Search-card rejection avoids detail/result charges; direct title rejection cannot avoid its initial fetch.
[]Global search-page budget across sources, including filtered and duplicate pages. Omitted: max(20, ceil(maxItems/10)*3). Also scans at most 25 cards per budgeted page in aggregate. Retries keep their existing separate bounds. Reaching a scan/time limit is incomplete, not proof of no matches. Direct URLs do not use this search budget.
Public LinkedIn Jobs search URLs or direct /jobs/view/ URLs. URLs and any supplied keywords are both processed. Omit keywords or send an empty keywords list for URL-only collection. Keep desired filters in a search URL; the separate filter fields apply only to keyword-generated searches. Direct job URLs request that posting.
Maximum unique job rows saved across all searches and direct URLs. Use a small value while testing to cap spend.
Filter keyword searches using LinkedIn's public date-posted options.
Filter keyword searches by on-site, remote, or hybrid roles.
Fetch each public job page for description text and HTML, criteria, applicant and salary text, application link, workplace type, and other fields. Search-card rows are preserved if individual detail pages fail.
Optional LinkedIn experience-level filters. Select any combination.
[]Optional LinkedIn employment-type filters. Select any combination.
[]Ask LinkedIn's public search endpoint to return only jobs marked for Easy Apply.
Request LinkedIn relevance ranking or newest-first ordering for keyword-generated searches. This does not sort the final combined dataset across multiple searches. For a pasted search URL, specify sorting in the URL. LinkedIn determines the returned order.
Retries temporary blocks, rate limits, timeouts, TLS failures, and server errors with a fresh proxy route.
Initial backoff before retrying a temporary request failure. Later retries wait longer and Retry-After is honored.
Minimum spacing between request starts across search and detail workers. Increase it if a broad run is rate-limited.
Requested maximum public job detail pages fetched at once. Lower values reduce request pressure. The memory-aware safety ceiling is 2 workers at 256 MB, 4 at 512 MB, 8 at 1024 MB, and 12 at 2048 MB or higher; a non-blocking warning explains any reduction. Valid saved/API values remain accepted.
Stop requesting new pages early enough to preserve saved rows and write RUN_SUMMARY before the platform timeout.
Apify Proxy is enabled by default, including when this field is omitted. Use the proxy editor for managed groups/country or your own proxy URLs. To opt out, choose no proxy (API: {"useApifyProxy":false}); valid custom proxy URLs remain usable with that opt-out. Explicit groups, country, custom proxy URLs and no-proxy settings are used as-is with no cross-pool fallback. Automatic (omitted or enabled with no groups/country/custom URLs) may retry rate-limited searches and job details through the existing Residential pool. Searches keep the same page and filters; details use the public job page. This uses an existing retry slot, not extra requests; proxy usage can increase run costs, and prices are unchanged. No direct-first routing is used. Direct access may be blocked. Existing retry and time limits still apply. Do not share proxy credentials in support reports.
{ "useApifyProxy": true}