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LinkedIn Company Jobs Search
LinkedIn Company Jobs Search 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).
Fetches all open LinkedIn job postings for one or more specified companies, with optional keyword, location, and pagination filters.
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How this service works
Every open LinkedIn job posting at one or more companies. This is the **same search path** as `/search` with LinkedIn's `f_C` company filter populated — the same parser, the same fetch layer, the same job builder, the same 35-key superset contract and the same `job_id` codec. Every filter `/search` supports is supported here and composes with the company filter; that composition was verified live against `f_C=1035` (Microsoft), checking every card of every probe: `f_C` alone, `+ date_posted`, `+ location`, `+ geo_id` & `radius`, `+ query` and `+ page` each returned 10/10 jobs at the requested company. **Identifying a company.** Pass `company_id` (numeric, LinkedIn's own id — it is returned on every job as `job_linkedin_company_id`) or `company` (a vanity slug or company page URL, resolved live at the cost of one extra request). Both accept a comma-separated list of up to 10; ids and slugs may be mixed, and the union actually searched is echoed as `parameters.company_ids_resolved`. **Multiple companies are an OR**, not a round-robin. LinkedIn ranks the union by relevance, so a small company paired with a large one can be absent from page 1 entirely. The guarantee is that every job returned belongs to one of the requested companies — not that every requested company appears. **`query` is optional here**, unlike on `/search`: the company is the query. Supply it only to filter within the company's postings. **Pagination, `include_details`, local filters and billing behave exactly as on `/search`**, with one addition: each `company` slug resolution is billed as one request on top of the search pages. **A company with no open jobs returns an empty array**, and so does a numeric `company_id` that does not exist — LinkedIn answers both with the same empty page. Use `company` (the slug form) when you need a bad identifier to be an error instead.
Output
Returns a paginated array of up to 10 job objects per page, each containing 35 fields including job_id, job_title, employer_name, employer_logo, job_description, job_location (city/state/country/lat/lon), job_employment_type, job_is_remote, job_posted_at, job_apply_link, job_salary (min/max/period/currency), job_seniority_level, job_function, job_industries, job_applicants_count, and apply_options. Also returns a parameters object echoing company_ids_resolved and pagination metadata.
Example use cases
Track competitor hiring signals
“Show me all the engineering job postings currently open at OpenAI and Anthropic on LinkedIn — I want to see what roles they're hiring for and how many applicants each has.”
Find remote roles at target company
“List all remote job openings at Shopify on LinkedIn right now, filtered to product management roles — show me the title, salary if available, and direct apply link.”
Job board for niche industry
“Pull every open LinkedIn job at these three biotech companies — Moderna, BioNTech, and Genentech — I want all postings from the past month in the United States.”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/realtime-linkedin-data/company-jobs?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to enumerate all open positions at one or more known companies by name or LinkedIn company ID, rather than doing a broad keyword job search. It is ideal for competitive intelligence, recruiting pipelines, or monitoring a watchlist of employers. Prefer it over the generic /search endpoint when the company identity is the primary filter and keywords are optional refinements.
Side effects
- Unknown company slug returns 404 and fails the entire request
- Providing radius without geo_id returns 400
- Providing more than one query parameter returns 400
- Unknown field name in fields projection returns 400
- page × 10 exceeding LinkedIn's 1000-result ceiling returns an error
- Rate limiting or upstream LinkedIn changes may return 429 or 503
- Mixed valid/invalid slugs in a comma-separated list fail the whole batch
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. |
| query | string | Optional free-form keyword filter (LinkedIn's `keywords`) applied **within** the selected companies. Omit it to get the company's whole job list — verified live that `f_C` alone is a valid upstream request. 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. |
| companyrequired | string | Comma-separated LinkedIn company vanity slugs or company page URLs, up to 10, resolved live to the ids `company_id` takes. `microsoft`, `/company/microsoft` and a full URL all work. Each slug costs **one extra billed request**. An unknown slug is a 404, and one bad slug fails the whole request. |
| 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 | Comma-separated LinkedIn company ids (`f_C`), up to 10, OR'd together. Take the value from `job_linkedin_company_id` on any job. Either `company_id` or `company` is required; combined, the union is echoed as `parameters.company_ids_resolved`. Ordering is relevance, so a small company paired with a large one may miss page 1. |
| 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, plus `company_ids_resolved`. Only the parameters actually supplied are present — `query` is absent when none was sent. |
| request_idrequired | string |
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