LeadMagic: Job Search

Search job postings by title, company, location, salary, seniority and posting date.

Tool ID: leadmagic_job_search

Run this action

Use the TypeScript SDK for one call. Use ctx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'leadmagic_job_search',
  {
    "titles": {
      "include": [
        "example"
      ],
      "exclude": [
        "example"
      ],
      "vector": false
    },
    "occupationTaxonomy": {
      "level1": [
        "example"
      ],
      "level2": [
        "example"
      ],
      "level3": [
        "example"
      ]
    },
    "companies": {
      "include": [
        "example"
      ],
      "exclude": [
        "example"
      ],
      "ids": [
        123
      ]
    }
  },
);

console.log(result.toolResponse.raw);

CLI

deepline run leadmagic_job_search --input '{
  "titles": {
    "include": [
      "example"
    ],
    "exclude": [
      "example"
    ],
    "vector": false
  },
  "occupationTaxonomy": {
    "level1": [
      "example"
    ],
    "level2": [
      "example"
    ],
    "level3": [
      "example"
    ]
  },
  "companies": {
    "include": [
      "example"
    ],
    "exclude": [
      "example"
    ],
    "ids": [
      123
    ]
  }
}'

Example response

The SDK returns this shape at result.toolResponse.raw. The example values illustrate the response.

{
  "data": {
    "signals": [
      {}
    ],
    "total": 123,
    "totalMode": "example"
  }
}

Use deepline describe leadmagic_job_search --json for the latest machine-readable contract.

Input reference

Search jobs with title, occupation taxonomy, company, location, tag, salary, seniority, and date filters. The endpoint resolves friendly values into normalized filter IDs before searching. Company objects do not include logo fields.

Name	Type	Required	Default	Details
`payload.titles`	`object`	No	—	—
`payload.occupationTaxonomy`	`object`	No	—	—
`payload.companies`	`object`	No	—	—
`payload.location`	`object`	No	—	—
`payload.tags`	`object`	No	—	—
`payload.salary`	`object`	No	—	—
`payload.seniority`	`array`	No	—	—
`payload.postedAfter`	`string`	No	—	Format: `date`.
`payload.postedBefore`	`string`	No	—	Format: `date`.
`payload.postedWithin`	`integer`	No	—	Include jobs posted within the last N days.
`payload.languages`	`array`	No	—	—
`payload.hasRemote`	`boolean`	No	—	—
`payload.jobTypeIds`	`array`	No	—	—
`payload.industryIds`	`array`	No	—	—
`payload.companyTypeIds`	`array`	No	—	—
`payload.companySizeCodes`	`array`	No	—	—
`payload.limit`	`integer`	No	`25`	Maximum: 50.
`payload.cursor`	`string`	No	—	Opaque cursor from pagination.next_cursor. Send unchanged with the same filters and limit.
`payload.includeDescription`	`boolean`	No	`false`	Include job description text. Enabling descriptions may increase response time.
`payload.includeFacets`	`boolean`	No	`false`	Include facet metadata. Enabling facets may increase response time.
`payload.totalMode`	`"none" \| "capped" \| "exact"`	No	—	Allowed: `none`, `capped`, `exact`.
`payload.mode`	`"fast" \| "deep"`	No	—	fast returns paginated browsing results when descriptions and facets are omitted. deep enables broader text matching. Allowed: `fast`, `deep`.
`payload.autoResolve`	`boolean`	No	`true`	—

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.signals`	`array`	No	—	—
`result.data.total`	`integer`	No	—	—
`result.data.totalMode`	`string`	No	—	—
`result.data.pagination`	`object`	No	—	—
`result.data.pagination.limit`	`integer`	No	—	—
`result.data.pagination.returned`	`integer`	No	—	—
`result.data.pagination.has_more`	`boolean`	No	—	—
`result.data.pagination.next_cursor`	`string \| null`	No	—	—
`result.data.has_more`	`boolean`	No	—	—
`result.data.next_cursor`	`string \| null`	No	—	—
`result.data.resolved`	`record`	No	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.34 per pricing unit.

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation