Edges.run: Edges Linkedin Extract Company

Get a company’s LinkedIn page details from its URL: industry, employee count, headquarters, website and description.

Tool ID: edges_linkedin_extract_company

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_company --json

Example response

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

{
  "data": {
    "company_name": "Example Corp",
    "specialties": [
      "example"
    ],
    "tagline": "example"
  }
}

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

Input reference

Run linkedin-extract-company 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.company_name`	`string`	No	—	—
`result.data.specialties`	`array`	No	—	—
`result.data.tagline`	`string`	No	—	—
`result.data.linkedin_company_id`	`number`	No	—	—
`result.data.description`	`string`	No	—	—
`result.data.type`	`string`	No	—	—
`result.data.founded_on`	`number`	No	—	—
`result.data.linkedin_company_url`	`string`	No	—	Format: `uri`.
`result.data.linkedin_company_handle`	`string`	No	—	—
`result.data.website`	`string`	No	—	Format: `uri`.
`result.data.linkedin_company_phone`	`string`	No	—	—
`result.data.sales_navigator_company_url`	`string`	No	—	Format: `uri`.
`result.data.industries`	`array`	No	—	Industries taxonomy (v2)
`result.data.industries_v1`	`array`	No	—	Industries (v1)
`result.data.industry`	`string`	No	—	—
`result.data.linkedin_job_search_url`	`string`	No	—	Format: `uri`.
`result.data.followers_count`	`integer`	No	—	—
`result.data.number_employees`	`number`	No	—	—
`result.data.employees_range`	`string`	No	—	—
`result.data.linkedin_employees_url`	`string`	No	—	Format: `uri`.
`result.data.sales_navigator_employees_url`	`string`	No	—	Format: `uri`.
`result.data.country`	`string`	No	—	—
`result.data.geographic_area`	`string`	No	—	—
`result.data.city`	`string`	No	—	—
`result.data.postal_code`	`string`	No	—	—
`result.data.headquarters`	`string`	No	—	—
`result.data.locations`	`array`	No	—	—
`result.data.locations[].address`	`string`	No	—	—
`result.data.locations[].geographic_area`	`string`	No	—	—
`result.data.locations[].street`	`string`	No	—	—
`result.data.locations[].postal_code`	`string`	No	—	—
`result.data.locations[].city`	`string`	No	—	—
`result.data.locations[].country`	`string`	No	—	—
`result.data.number_of_locations`	`number`	No	—	—
`result.data.last_funding_investors`	`array`	No	—	—
`result.data.last_funding_investors[].name`	`string`	No	—	—
`result.data.last_funding_investors[].crunchbase_company_url`	`string`	No	—	Format: `uri`.
`result.data.crunchbase_company_url`	`string`	No	—	Format: `uri`.
`result.data.last_funding_date`	`string`	No	—	Format: `date`.
`result.data.last_funding_type`	`string`	No	—	—
`result.data.last_funding_raised`	`number`	No	—	—
`result.data.last_funding_currency`	`string`	No	—	—
`result.data.logo_url`	`string`	No	—	Format: `uri`.
`result.data.domain`	`string`	No	—	Format: `hostname`.
`result.data.location`	`string`	No	—	—
`result.data.linkedin_school_id`	`number`	No	—	—
`result.data.linkedin_page_claimed`	`boolean`	No	—	—
`result.data.updated_at`	`string`	No	—	Format: `date-time`.
`result.data.affiliates`	`array`	No	—	—

The table shows the first 50 fields. Expand the raw schema below for every field.

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