Edges.run: Edges Linkedin Extract Job

Get a LinkedIn job posting’s details from its job URL: title, company, location and description.

Tool ID: edges_linkedin_extract_job

Run this action

This action has conditional or dynamic inputs. A static example cannot describe these inputs reliably. Read the live contract before you execute this action:

deepline describe edges_linkedin_extract_job --json

Example response

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

{
  "data": {
    "linkedin_job_id": 123,
    "job_location": "example",
    "linkedin_job_url": "https://example.com/resource"
  }
}

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

Input reference

Run linkedin-extract-job action live

Name	Type	Required	Default	Details
`payload.input`	`object`	Yes	—	—

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.linkedin_job_id`	`integer`	No	—	—
`result.data.job_location`	`string`	No	—	—
`result.data.linkedin_job_url`	`string`	No	—	Format: `uri`.
`result.data.field`	`string`	No	—	—
`result.data.job_description`	`string`	No	—	—
`result.data.type`	`string`	No	—	—
`result.data.title`	`string`	No	—	—
`result.data.remote_allowed`	`boolean`	No	—	—
`result.data.skills`	`array`	No	—	—
`result.data.linkedin_company_id`	`string`	No	—	—
`result.data.linkedin_company_url`	`string`	No	—	—
`result.data.company_name`	`string`	No	—	—
`result.data.linkedin_job_application_url`	`string`	No	—	Format: `uri`.
`result.data.profile_full_name`	`string`	No	—	—
`result.data.linkedin_profile_id`	`integer`	No	—	—
`result.data.sales_navigator_profile_id`	`string`	No	—	—
`result.data.linkedin_profile_url`	`string`	No	—	Format: `uri`.
`result.data.posted_at`	`string`	No	—	Format: `date-time`.
`result.data.reposted_at`	`string`	No	—	Format: `date-time`.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.42 per pricing unit.

​Run this action

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

Example response

Input reference

Output reference

Deepline cost

Related documentation