Search LinkedIn Jobs

The advanced job search. Same market as linkedin_job_listings, but with job-function, industry, company, quality and resume-matching filters on top.

What it does

• Searches LinkedIn jobs across all companies, with a large filter set.
• title is the only required parameter. Everything else narrows the result set.
• title and locations are arrays, so one call can cover several titles or several cities.
• Filters go beyond the job itself: job function, industry, company size, organization type, founded year, follower count, whether the poster is a recruiting agency.
• resume_keywords scores how well each opening matches a resume — the only job tool that does this.

Use this one when you need detailed filtering. For a quick keyword sweep, linkedin_job_listings is simpler to prompt and costs the same.

Use cases

• Run a precise sweep of a hiring market. Several titles and cities in one call, filtered down to the company profile you sell to.
• Cut agency noise from a job list. Excluding recruiting agencies is the difference between a list of employers and a list of intermediaries.
• Catch reqs in the first 24 hours. A tight published_at window puts you in front of the hiring manager before the role fills.
• Match openings to a candidate or a pitch. resume_keywords scores how closely each opening matches a background, which no other job tool does.
• Scope by company shape. Size, industry, organization type and founded year keep the results inside your ICP.

How to use it

Search LinkedIn jobs with the titles "RevOps" and "Revenue Operations" in
London and Manchester. Companies between 50 and 500 employees, founded after
2020, exclude recruiting agencies, posted in the past week. 50 results.

Same search, but only openings that publish a salary and have a named
recruiter on the post.

Rerun with resume keywords for Salesforce, HubSpot, SQL and forecasting,
then rank the openings by match score.

Example prompts

Best prompting practices

• title is the only required field. Everything else is a filter on top of it — start with the title and add filters one family at a time.
• Use company_include for account-based searches. Give it a target account list and the search only returns openings at those companies.
• Prefer industry_include over long title lists. One industry filter usually beats ten near-duplicate titles.
• Say the time window in words. “Posted in the past week” is enough — your client converts it to r604800. Only write the raw r<seconds> value if you want an exact window.
• Exclude agencies for outbound. exclude_recruiting_agencies removes the reposted noise that ruins an account list.
• Turn on enrich_company_data only when you need it. It is slower, and you may already have the firmographics from enrich_organization.
• Use save_only_unique_items on wide searches. Multiple keywords across multiple cities will return the same opening more than once.
• Drop the quality filters first when a search comes back empty. require_salary_info, filter_under_10_applicants and require_recruiter_profile each exclude most openings on their own — stacked, they exclude everything.
• Set max_results and ask for the accounts. Default is 10. “Return 50, deduplicated by company, as a table: company, title, location, posted date, job URL” is the output that becomes a target list.

Output

{
  "jobs": [
    {
      "title": "Revenue Operations Lead",
      "company": "Stripe",
      "location": "London, United Kingdom",
      "posted_at": "2026-08-04",
      "url": "https://linkedin.com/jobs/view/1234567890"
    }
  ]
}

Credits and limits

0.3 credits per job found, whatever filters you set. max_results accepts 1–100 and defaults to 10, so the default call costs up to 3 credits and a 100-result call up to 30. A search that returns fewer openings than the cap costs less. Run check_credits (free) before a long run of searches.

Parameters

Required

The optional set is grouped into six families.

Search

Job

Company

Quality

Matching

Output

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• Signals & ABM — workflows that turn hiring signals into an account list

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.