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LinkedIn Job Search via OpenWeb Ninja
LinkedIn Job Search via OpenWeb Ninja is a paid API for AI agents from agents.openwebninja.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-14).
Search LinkedIn job postings by keyword, location, and filters, returning paginated structured job data including descriptions, salary, and applicant counts.
Price / call—
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StatusUnknown
How this service works
Search LinkedIn job postings. **Pagination** is offset-based via `page` / `num_pages`. Page size is fixed at 10 by LinkedIn. Unlike the Bing jobs source, LinkedIn does not repeat a posting across consecutive pages (measured: 300/300 unique ids over 30 contiguous pages), so `num_pages=N` returns exactly `N x 10` jobs up to the end of the result set. **`include_details` (default `true`)** issues one extra request per job, bounded to 10 concurrent and capped at 100 jobs per request. It is what fills `job_description`, `job_employment_type(s)`, salary, `job_seniority_level`, `job_function`, `job_industries`, `job_applicants_count` and `job_linkedin_company_id` — none of which exist on a search card. Set it to `false` for a ~3x faster, card-only response. **Knowing when to stop:** the response is a flat array, matching the JSearch `/search` envelope, so there is no `has_more` flag. A page that returns fewer than `num_pages x 10` jobs is the last one, as is `page` 100. **Billing:** `Requests` counts one per upstream page of 10 actually fetched. Using `employment_types`, `seniority_levels` or `remote_jobs_only` over-fetches up to 3x the requested pages (capped at 10) to refill the page after local filtering, and those extra pages are billed.
Output
A flat JSON array of job objects (up to num_pages × 10 per request) each containing job_id, job_title, employer_name, employer_logo, job_location, job_city, job_state, job_country, job_apply_link, job_posted_at, job_posted_at_datetime_utc, and (when include_details=true) job_description, job_employment_type, job_min_salary, job_max_salary, job_salary_currency, job_seniority_level, job_function, job_industries, job_applicants_count, and job_linkedin_company_id.
Example use cases
Job market research for career pivot
“Find me the 20 most recent data scientist job postings on LinkedIn in the United States — I want to see descriptions, salary ranges, seniority levels, and how many applicants each has so I can gauge competition.”
Remote job hunt for a developer
“Search LinkedIn for remote full-time Python developer jobs posted in the last 24 hours — give me the first 2 pages of results with descriptions and apply links.”
Recruiting pipeline sourcing
“I'm hiring for a mid-level product manager role in London — can you pull the first page of LinkedIn job postings matching 'product manager' with a geo radius of 50 km around London and sort them by date?”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/realtime-linkedin-data/search?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured LinkedIn job data — especially rich fields like job descriptions, salary, seniority level, applicant counts, and employment type — in a JSearch-compatible envelope. Prefer it over generic job search APIs when LinkedIn-specific data quality (unique posting IDs, no cross-page duplicates, LinkedIn company IDs) matters. Use include_details=false for fast card-only scanning and include_details=true when you need full job details for summarization or matching.
Side effects
- 400 if query parameter is missing or duplicated
- 400 if radius is provided without geo_id
- 400 if an unknown field name is passed in the fields projection
- 400 if page + num_pages would exceed LinkedIn's 1000-result (page 100) ceiling
- Fewer results than requested if the result set is exhausted — no has_more flag; detect by count < num_pages × 10
- Slower response (~3x) when include_details=true due to per-job detail fetches
- Over-billing when employment_types, seniority_levels, or remote_jobs_only filters trigger up to 3x page over-fetch
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| page | integer | 1-based page number, 10 jobs per page. Capped at 100 by LinkedIn's 1000-result ceiling; `page + num_pages` may not cross it either. |
| queryrequired | string | Free-form job search query (LinkedIn's `keywords`). Only one `query` is accepted; a second one is rejected with a 400 rather than silently ignored. |
| fields | string | Comma-separated projection over the job object. `job_id` and `job_title` are always included. An unknown field is a 400. |
| geo_id | string | LinkedIn numeric geo id (e.g. `102571732` = New York City, `103644278` = United States). Required if you want `radius` to take effect. There is no geo-id lookup endpoint in this API yet — take the value from a `geoId=` parameter on a linkedin.com/jobs URL. |
| radius | integer | Search radius in **kilometres**, converted to the miles LinkedIn expects. Passed through continuously, not as a coarse menu. **Requires `geo_id`.** LinkedIn ignores `distance` with a free-text location, so `radius` without `geo_id` is rejected with a 400 rather than silently doing nothing. |
| country | string | 2-letter country code. Selects the proxy exit market and is the fallback for `job_country` when the posting's own location does not name a country. Geography is driven primarily by `location` / `geo_id`, not by this. |
| sort_by | string | `relevance` leaves LinkedIn's own ordering alone. `date` sorts **the jobs in this response** newest-first — it does not re-rank the result set upstream, because LinkedIn ignores its own `sortBy` on the logged-out surface. Combine with a larger `num_pages` for a more meaningful ordering, or with `date_posted` for real freshness control. |
| location | string | Free-text location. Works internationally with no geo id ("London, United Kingdom", "Berlin, Germany"). Mutually usable with `geo_id`, but `radius` only applies to `geo_id`. |
| num_pages | integer | How many consecutive pages to fetch and concatenate, starting at `page`. Values above 20 are rejected with a 400 rather than silently clamped. |
| company_id | string | Restrict results to one LinkedIn company, by its numeric company id (LinkedIn's `f_C`). Applied by LinkedIn itself. The id of any employer in a result is returned as `job_linkedin_company_id`, so "more jobs at this company" is a single follow-up call. |
| date_posted | string | Freshness filter, applied by LinkedIn itself. Maps exactly onto LinkedIn's arbitrary-seconds window (`today` = 24 h, `3days` = 72 h, `week` = 7 d, `month` = 30 d) with no downgrade. `all` applies no filter. |
| include_details | boolean | Fetch each job's detail page to fill the fields a search card cannot carry (description, employment type, salary, seniority, function, industries, applicant count, company id). Set `false` for a card-only response that is roughly 3x faster. Forced on when a local filter is in use. |
| employment_types | string | Comma-separated `FULLTIME`, `PARTTIME`, `CONTRACTOR`, `INTERN`. **Filtered by us, not by LinkedIn**, whose own job-type filter is ignored logged out. Forces `include_details` on and over-fetches up to 3x the requested pages (capped at 10), so expect fewer than `num_pages x 10` results and a higher `Requests` charge. |
| remote_jobs_only | boolean | Return only jobs with an explicit remote marker. **Best-effort and low-recall**: LinkedIn's logged-out payload has no workplace-type field, so this matches a textual marker in the location or title. It under-returns and never over-returns, and most queries return few or no results with it set. |
| seniority_levels | string | Comma-separated list of LinkedIn's own seniority vocabulary: `Internship`, `Entry level`, `Associate`, `Mid-Senior level`, `Director`, `Executive`, `Not Applicable`. **Enforced locally**, with the same cost and caveats as `employment_types`. Deliberately LinkedIn's vocabulary rather than a years-of-experience enum: there is no defensible mapping from "Mid-Senior level" to a year count. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| statusrequired | string | |
| parametersrequired | object | Echo of the parameters as the caller sent them, before any internal transformation. Only the parameters actually supplied are present. |
| request_idrequired | string |
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