QuickEnrich: Company Contacts Search

Find the employees at a company from its website, optionally filtered by job title or having an email.

Tool ID: quickenrich_company_contacts_search

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(
  'quickenrich_company_contacts_search',
  {
    "company_url": "https://example.com"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute quickenrich_company_contacts_search --input '{
  "company_url": "https://example.com"
}' --json

Example response

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

{
  "data": {
    "success": true,
    "message": "Example message",
    "code": 123
  }
}

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

Input reference

Search by normalized company URL. Returns up to 20 contacts per page.

Name	Type	Required	Default	Details
`payload.company_url`	`string`	Yes	—	—
`payload.title`	`string`	No	—	Single title or comma-separated titles (e.g. “CEO, CFO”). Maximum length: 255.
`payload.page`	`integer`	No	`1`	Minimum: 1.
`payload.has_email`	`boolean`	No	—	When true, only contacts with a real email in the dataset.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.success`	`boolean`	Yes	—	—
`result.data.message`	`string`	Yes	—	—
`result.data.code`	`integer`	Yes	—	—
`result.data.data`	`array`	No	—	—
`result.data.data[].first_name`	`string`	No	—	—
`result.data.data[].last_name`	`string`	No	—	—
`result.data.data[].title`	`string`	No	—	—
`result.data.data[].email`	`string`	No	—	—
`result.data.data[].employee_phone`	`string`	No	—	—
`result.data.data[].employee_phone_type`	`string`	No	—	—
`result.data.data[].employee_linkedin`	`string`	No	—	—
`result.data.data[].email_verification_date`	`string \| null`	No	—	Format: `date`.
`result.data.data[].company_url`	`string`	No	—	—
`result.data.data[].company_name`	`string`	No	—	—
`result.data.data[].email_domain`	`string`	No	—	—
`result.data.data[].company_linked`	`string`	No	—	—
`result.data.data[].company_phone`	`string`	No	—	—
`result.data.data[].industry`	`string`	No	—	—
`result.data.data[].revenue`	`string`	No	—	—
`result.data.data[].employee_count`	`string`	No	—	—
`result.data.data[].address`	`string`	No	—	—
`result.data.data[].city`	`string`	No	—	—
`result.data.data[].region_code`	`string`	No	—	—
`result.data.data[].zip`	`string`	No	—	—
`result.data.data[].country_code`	`string`	No	—	—
`result.data.meta`	`object`	No	—	—
`result.data.meta.page`	`integer`	No	—	—
`result.data.meta.per_page`	`integer`	No	—	—
`result.data.meta.total`	`integer`	No	—	—
`result.data.meta.last_page`	`integer`	No	—	—
`result.data.meta.reason`	`string`	No	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.06 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