Edges.run: Edges Linkedin Extract Company Employees Insights

Run linkedin-extract-company-employees-insights action live.

Tool ID: edges_linkedin_extract_company_employees_insights

Run this action

This action has conditional or dynamic input fields that cannot be represented by a reliable static example. Inspect the live contract before executing it:

deepline tools get edges_linkedin_extract_company_employees_insights --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "linkedin_company_url": "https://www.linkedin.com/in/jane-doe",
    "linkedin_company_handle": "https://www.linkedin.com/in/jane-doe",
    "linkedin_company_id": 123
  }
}

Use deepline tools get edges_linkedin_extract_company_employees_insights --json for the latest machine-readable contract.

Input reference

Run linkedin-extract-company-employees-insights action live

Name	Type	Required	Default	Details
`payload.parameters`	`object`	No	`{}`	—
`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_company_url`	`string`	No	—	—
`result.data.linkedin_company_handle`	`string`	No	—	—
`result.data.linkedin_company_id`	`integer`	No	—	—
`result.data.locations`	`array`	No	—	—
`result.data.locations[].name`	`string`	No	—	—
`result.data.locations[].count`	`integer`	No	—	—
`result.data.schools`	`array`	No	—	—
`result.data.schools[].name`	`string`	No	—	—
`result.data.schools[].linkedin_school_id`	`integer`	No	—	—
`result.data.schools[].count`	`integer`	No	—	—
`result.data.functions`	`array`	No	—	—
`result.data.functions[].name`	`string`	No	—	—
`result.data.functions[].count`	`integer`	No	—	—
`result.data.skills`	`array`	No	—	—
`result.data.skills[].name`	`string`	No	—	—
`result.data.skills[].count`	`integer`	No	—	—
`result.data.fields_of_study`	`array`	No	—	—
`result.data.fields_of_study[].name`	`string`	No	—	—
`result.data.fields_of_study[].count`	`integer`	No	—	—
`result.data.connection_degrees`	`array`	No	—	—
`result.data.connection_degrees[].connection_degree`	`string`	No	—	—
`result.data.connection_degrees[].count`	`integer`	No	—	—
`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.

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Common workflows

Data and integrations

Reference

Edges.run: Edges Linkedin Extract Company Employees Insights

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Example response

Input reference

Output reference

Deepline cost

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​Related documentation

Run this action

Example response

Input reference

Output reference

Deepline cost

Related documentation