> ## Documentation Index
> Fetch the complete documentation index at: https://deepline.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Limadata: Enrich Company

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

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

> [!NOTE]
>
> 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.

```ts theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
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

```bash theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
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.

```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
{
  "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](https://microsoft.com) |
| `payload.linkedin_url` | `string` | No | — | Company LinkedIn URL. Example: [https://linkedin.com/company/microsoft](https://linkedin.com/company/microsoft) |

<details>
  <summary>Show raw input schema</summary>

  ### Input JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "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 stack by category (CRM, marketing automation, analytics, etc.) - **Job Postings**: Open positions by department - **Attributes**: Domain TLD, website status, legal type #### Common Use Cases - **Lead Enrichment**: Enhance company records with fresh firmographic data - **Account-Based Marketing**: Build detailed company profiles for targeted campaigns - **Sales Intelligence**: Research prospects and qualify leads with comprehensive company data #### Required Parameters (at least one) - **Domain**: The company's domain (e.g., microsoft.com or https://microsoft.com) - **LinkedInUrl**: The company's LinkedIn URL (e.g., https://linkedin.com/company/microsoft) #### Rate limit This endpoint is exempt from the global rate limit and can support higher concurrency.",
    "properties": {
      "domain": {
        "type": [
          "string",
          "null"
        ],
        "description": "Company domain. Example: microsoft.com or https://microsoft.com"
      },
      "linkedin_url": {
        "type": [
          "string",
          "null"
        ],
        "description": "Company LinkedIn URL. Example: https://linkedin.com/company/microsoft"
      }
    },
    "required": [],
    "additionalProperties": false
  }
  ```
</details>

## 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.

> [!NOTE]
>
> 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.

## Related documentation

* [Limadata provider guide](https://deepline.com/docs/providers/limadata/guide.md)
* [SDK V2 quickstart](https://deepline.com/docs/sdk-v2/quickstart.md)
* [SDK reference](https://deepline.com/docs/sdk-v2/sdk-reference.md)
* [Run tools across a CSV](https://deepline.com/docs/sdk-v2/batch-csv.md)


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