Edges.run: Edges Linkedin Extract School Alumnis

List the alumni of a school from its LinkedIn school page URL.

Tool ID: edges_linkedin_extract_school_alumnis

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_school_alumnis --json

Example response

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

{
  "data": [
    {
      "full_name": "Example",
      "headline": "example",
      "linkedin_profile_handle": "https://www.linkedin.com/in/jane-doe"
    }
  ]
}

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

Input reference

Run linkedin-extract-school-alumnis action live

Name	Type	Required	Default	Details
`payload.cursor`	`string`	No	—	Cursor value obtained from the `X-Pagination-Next` response header of a previous request, used to continue pagination. Cursors expire after 24 hours. If a cursor has expired or is invalid, pagination must be restarted from the beginning.
`payload.parameters`	`object`	No	`{}`	—
`payload.input`	`object`	Yes	—	—

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`array`	Yes	—	Provider response payload.
`result.data[].full_name`	`string`	No	—	—
`result.data[].headline`	`string`	No	—	—
`result.data[].linkedin_profile_handle`	`string`	No	—	—
`result.data[].sales_navigator_profile_id`	`string`	No	—	—
`result.data[].linkedin_profile_id`	`integer`	No	—	—
`result.data[].connection_degree`	`string`	No	—	—
`result.data[].profile_image_url`	`string`	No	—	Format: `uri`.
`result.data[].linkedin_profile_url`	`string`	No	—	Format: `uri`.
`result.data[].school_name`	`string`	No	—	—
`result.data[].linkedin_people_post_search_url`	`string`	No	—	Format: `uri`.
`result.data[].sales_navigator_profile_url`	`string`	No	—	Format: `uri`.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.05 per pricing unit.

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​Example response

​Input reference

​Output reference

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Run this action

Example response

Input reference

Output reference

Deepline cost

Related documentation