CrustData V2: Company Search Realtime

Search company profiles on the web in real time using a set of filters.

Tool ID: crustdata_v2_company_search_realtime

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(
  'crustdata_v2_company_search_realtime',
  {
    "filters": [
      {
        "filter_type": "COMPANY_HEADCOUNT",
        "type": "in",
        "value": [
          "example"
        ]
      }
    ],
    "page": 123
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute crustdata_v2_company_search_realtime --input '{
  "filters": [
    {
      "filter_type": "COMPANY_HEADCOUNT",
      "type": "in",
      "value": [
        "example"
      ]
    }
  ],
  "page": 123
}' --json

Example response

The static output schema lacks the details for a reliable example. Use deepline describe crustdata_v2_company_search_realtime --json for the complete live contract.

Input reference

Searches for company profiles on the web in real-time. Accepts a set of filters for search criteria. See How to Build Filters. Show Docs

Name	Type	Required	Default	Details
`payload.filters`	`array`	No	—	—
`payload.page`	`integer`	No	—	—

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.companies`	`array`	No	—	—
`result.data.companies[].name`	`string`	No	—	—
`result.data.companies[].description`	`string`	No	—	—
`result.data.companies[].linkedin_company_url`	`string`	No	—	Format: `uri`.
`result.data.companies[].linkedin_company_id`	`string`	No	—	—
`result.data.companies[].website`	`string`	No	—	Format: `uri`.
`result.data.companies[].industry`	`string`	No	—	—
`result.data.companies[].company_type`	`string`	No	—	—
`result.data.companies[].founded_year`	`integer`	No	—	—
`result.data.companies[].location`	`string`	No	—	—
`result.data.companies[].headquarters`	`object`	No	—	—
`result.data.companies[].headquarters.country`	`string`	No	—	—
`result.data.companies[].headquarters.city`	`string`	No	—	—
`result.data.companies[].headquarters.postalCode`	`string`	No	—	—
`result.data.companies[].headquarters.line2`	`string`	No	—	—
`result.data.companies[].headquarters.line1`	`string`	No	—	—
`result.data.companies[].employee_count`	`integer`	No	—	—
`result.data.companies[].employee_count_range`	`string`	No	—	—
`result.data.companies[].employee_growth_percentages`	`array`	No	—	—
`result.data.companies[].employee_growth_percentages[].timespan`	`"SIX_MONTHS" \| "YEAR" \| "TWO_YEAR"`	No	—	Allowed: `SIX_MONTHS`, `YEAR`, `TWO_YEAR`.
`result.data.companies[].employee_growth_percentages[].percentage`	`number`	No	—	—
`result.data.companies[].specialties`	`array`	No	—	—
`result.data.companies[].revenue_range`	`object`	No	—	—
`result.data.companies[].revenue_range.estimatedMinRevenue`	`object`	No	—	—
`result.data.companies[].revenue_range.estimatedMinRevenue.amount`	`number`	No	—	—
`result.data.companies[].revenue_range.estimatedMinRevenue.unit`	`string`	No	—	—
`result.data.companies[].revenue_range.estimatedMinRevenue.currencyCode`	`string`	No	—	—
`result.data.companies[].revenue_range.estimatedMaxRevenue`	`object`	No	—	—
`result.data.companies[].revenue_range.estimatedMaxRevenue.amount`	`number`	No	—	—
`result.data.companies[].revenue_range.estimatedMaxRevenue.unit`	`string`	No	—	—
`result.data.companies[].revenue_range.estimatedMaxRevenue.currencyCode`	`string`	No	—	—
`result.data.companies[].decision_makers_count`	`string`	No	—	—
`result.data.companies[].logo_urls`	`object`	No	—	—
`result.data.companies[].logo_urls.200x200`	`string`	No	—	Format: `uri`.
`result.data.companies[].logo_urls.100x100`	`string`	No	—	Format: `uri`.
`result.data.companies[].logo_urls.400x400`	`string`	No	—	Format: `uri`.
`result.data.total_display_count`	`string`	No	—	Short scale notation (like 1M+ or 1.5K) representing the total number of profiles available for the search.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.4 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