LinkedIn Job Search by Keyword (First Page)

omnial/linkedin-job-search-by-keyword

Given a keyword such as a job title or skill, returns the first page of matching LinkedIn job listings, not filtered by location (results may lean toward one region), plus the total number of matches reported. Per listing: job ID, title, company name, location, workplace type (on-site, hybrid or remote), posting date-time and the pay or benefits line shown on the listing, which is often empty. No location or other filters. The tested call returned 25 listings.

activeper callv1

Price

Up to $0.103 per call; you pay what the call used

The price shown is the price you pay. No monthly minimum. Top-ups start at $5.

Data source

Data from LinkedIn.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/linkedin-job-search-by-keyword" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/linkedin-job-search-by-keyword" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/linkedin-job-search-by-keyword", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/linkedin-job-search-by-keyword", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.103

Updated: Oct 14, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "keywords"
  ],
  "properties": {
    "keywords": {
      "type": "string",
      "minLength": 1,
      "description": "What to search for, such as a job title, role or skill."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "data": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "remote": {
            "type": "string",
            "description": "The workplace type: On-site, Hybrid or Remote."
          },
          "salary": {
            "type": "string",
            "description": "The pay range or benefits line shown on the listing, as text; empty when the listing shows none."
          },
          "company": {
            "type": "string",
            "description": "The hiring company's name."
          },
          "job_urn": {
            "type": "string",
            "description": "The listing's LinkedIn job ID."
          },
          "location": {
            "type": "string",
            "description": "The job's location as posted: a city, metro area, country or region."
          },
          "job_title": {
            "type": "string",
            "description": "The job title as posted."
          },
          "posted_time": {
            "type": "string",
            "description": "When the listing was posted, as YYYY-MM-DD HH:MM:SS."
          }
        }
      },
      "description": "One entry per job listing."
    },
    "total": {
      "type": "number",
      "description": "The total number of listings reported as matching the keyword."
    }
  },
  "description": "The first page of LinkedIn job listings matching a keyword."
}