Limadata: Enrich Company

Enrich a company from its domain or LinkedIn URL with firmographics (employee count / headcount, industry, revenue, funding, locations), social profiles.

Tool ID: limadata_enrich_company

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(
  'limadata_enrich_company',
  {
    "domain": "example.com",
    "linkedin_url": "https://www.linkedin.com/in/jane-doe"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute limadata_enrich_company --input '{
  "domain": "example.com",
  "linkedin_url": "https://www.linkedin.com/in/jane-doe"
}' --json

Example response

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

{
  "data": {
    "company": {
      "name": "Example",
      "domain": "example.com",
      "website": "https://example.com"
    }
  }
}

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

Input reference

Enrich a company’s profile using their domain or linkedin url. Returns comprehensive firmographic data including industry, size, locations, funding, and social presence. #### What You Get - Company Data: Name, domain, website, logo, tagline, description, founded year, company type - Employees: Employee count, range, and growth rate - Categories: Industry, specialities, keywords, SIC codes, NAICS codes - Locations: Headquarters and office locations with full addresses - Funding: Total amount, round count, lead investors, latest round details - Social Profiles: LinkedIn, Crunchbase, Facebook, X (Twitter) - Contact Info: Extracted emails and phone numbers - Revenue: Estimated revenue range - Traffic: Monthly website traffic (total, organic, paid, ad spend) - Apps: Mobile and web app presence, App Store and Play Store info - Technologies: Tech See the live schema below for the complete notes.

Name	Type	Required	Default	Details
`payload.domain`	`string`	No	—	Company domain. Example: microsoft.com or https://microsoft.com
`payload.linkedin_url`	`string`	No	—	Company LinkedIn URL. Example: https://linkedin.com/company/microsoft

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.company`	`object \| null`	No	—	—
`result.data.company.name`	`string \| null`	No	—	—
`result.data.company.domain`	`string \| null`	No	—	—
`result.data.company.website`	`string \| null`	No	—	—
`result.data.company.logo_url`	`string \| null`	No	—	—
`result.data.company.founded_year`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.type`	`string \| null`	No	—	—
`result.data.company.employees`	`object \| null`	No	—	—
`result.data.company.employees.employee_count`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.employees.employee_range`	`string \| null`	No	—	—
`result.data.company.employees.employee_growth_rate`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.emails`	`array \| null`	No	—	—
`result.data.company.phones`	`array \| null`	No	—	—
`result.data.company.tagline`	`string \| null`	No	—	—
`result.data.company.description`	`string \| null`	No	—	—
`result.data.company.funding`	`object \| null`	No	—	—
`result.data.company.funding.total_amount`	`number \| null`	No	—	Format: `double`.
`result.data.company.funding.round_count`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.funding.lead_investors`	`array \| null`	No	—	—
`result.data.company.funding.funding_rounds`	`array \| null`	No	—	—
`result.data.company.funding.funding_rounds[].type`	`string \| null`	No	—	—
`result.data.company.funding.funding_rounds[].amount`	`number \| null`	No	—	Format: `double`.
`result.data.company.funding.funding_rounds[].amount_text`	`string \| null`	No	—	—
`result.data.company.funding.funding_rounds[].date`	`string \| null`	No	—	Format: `date-time`.
`result.data.company.funding.funding_rounds[].number_of_investors`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.linkedin`	`object \| null`	No	—	—
`result.data.company.linkedin.handle`	`string \| null`	No	—	—
`result.data.company.linkedin.url`	`string \| null`	No	—	—
`result.data.company.linkedin.website`	`string \| null`	No	—	—
`result.data.company.linkedin.follower_count`	`integer \| null`	No	—	Format: `int32`.
`result.data.company.linkedin.logo_url`	`string \| null`	No	—	—
`result.data.company.linkedin.cover_image_url`	`string \| null`	No	—	—
`result.data.company.crunchbase`	`object \| null`	No	—	—
`result.data.company.crunchbase.handle`	`string \| null`	No	—	—
`result.data.company.crunchbase.url`	`string \| null`	No	—	—
`result.data.company.facebook`	`object \| null`	No	—	—
`result.data.company.facebook.handle`	`string \| null`	No	—	—
`result.data.company.facebook.url`	`string \| null`	No	—	—
`result.data.company.x`	`object \| null`	No	—	—
`result.data.company.x.handle`	`string \| null`	No	—	—
`result.data.company.x.url`	`string \| null`	No	—	—
`result.data.company.locations`	`array \| null`	No	—	—
`result.data.company.locations[].street`	`string \| null`	No	—	—
`result.data.company.locations[].city`	`string \| null`	No	—	—
`result.data.company.locations[].state`	`string \| null`	No	—	—
`result.data.company.locations[].country`	`string \| null`	No	—	—
`result.data.company.locations[].postal_code`	`string \| null`	No	—	—
`result.data.company.locations[].is_hq`	`boolean \| null`	No	—	—
`result.data.company.revenue`	`object \| null`	No	—	—

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

This output schema is too large for an inline display. Read the complete live contract with deepline describe limadata_enrich_company --json.

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0.28 per pricing unit.

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation