CrustData V2: Persondb Search

In-database search API for people data, enabling you to search across millions of professional profiles with advanced filtering capabilities.

Tool ID: crustdata_v2_persondb_search

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'crustdata_v2_persondb_search',
  {
    "filters": {
      "column": "example",
      "type": "=",
      "value": "example"
    }
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute crustdata_v2_persondb_search --input '{
  "filters": {
    "column": "example",
    "type": "=",
    "value": "example"
  }
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "profiles": [
      {
        "person_id": 123,
        "name": "Example",
        "first_name": "Jane"
      }
    ],
    "total_count": 123
  }
}

Use deepline tools get crustdata_v2_persondb_search --json for the latest machine-readable contract.

Input reference

In-database search API for people data, enabling you to search across millions of professional profiles with advanced filtering capabilities. Show Docs

Name	Type	Required	Default	Details
`payload.filters`	`object`	Yes	—	Filter conditions for searching people. Can be a simple condition or complex nested conditions with AND/OR logic.
`payload.cursor`	`string`	No	—	Pagination cursor from previous response. Used for fetching the next page of results.
`payload.limit`	`integer`	No	`20`	The number of results to return in a single request. Default value is 20. Maximum is 1,000. Maximum: 1000.
`payload.post_processing`	`object`	No	—	Additional filtering options applied to search results.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.profiles`	`array`	Yes	—	Array of person profiles matching the search criteria
`result.data.profiles[].person_id`	`integer`	No	—	Unique identifier for the person
`result.data.profiles[].name`	`string`	No	—	Full name of the person
`result.data.profiles[].first_name`	`string`	No	—	First name
`result.data.profiles[].last_name`	`string`	No	—	Last name
`result.data.profiles[].region`	`string`	No	—	Current location/region
`result.data.profiles[].headline`	`string`	No	—	Professional headline from LinkedIn
`result.data.profiles[].summary`	`string \| null`	No	—	Professional summary
`result.data.profiles[].skills`	`array`	No	—	List of professional skills
`result.data.profiles[].languages`	`array`	No	—	Languages spoken
`result.data.profiles[].profile_language`	`string`	No	—	Language of the LinkedIn profile
`result.data.profiles[].linkedin_profile_url`	`string`	No	—	LinkedIn profile URL Format: `uri`.
`result.data.profiles[].flagship_profile_url`	`string`	No	—	LinkedIn flagship URL (vanity URL) Format: `uri`.
`result.data.profiles[].emails`	`array`	No	—	Email addresses
`result.data.profiles[].profile_picture_url`	`string \| null`	No	—	URL of the profile picture Format: `uri`.
`result.data.profiles[].profile_picture_permalink`	`string \| null`	No	—	Permanent URL of the profile picture Format: `uri`.
`result.data.profiles[].twitter_handle`	`string \| null`	No	—	Twitter/X username
`result.data.profiles[].num_of_connections`	`integer`	No	—	Number of LinkedIn connections
`result.data.profiles[].recently_changed_jobs`	`boolean`	No	—	Indicates if the person recently changed jobs
`result.data.profiles[].years_of_experience`	`string`	No	—	Categorical years of experience
`result.data.profiles[].years_of_experience_raw`	`number`	No	—	Numeric years of experience
`result.data.profiles[].last_updated`	`string`	No	—	When the profile was last updated in the database Format: `date-time`.
`result.data.profiles[].updated_at`	`string`	No	—	When the profile data was last refreshed Format: `date-time`.
`result.data.profiles[].current_employers`	`array`	No	—	Current employment positions
`result.data.profiles[].current_employers[].name`	`string`	No	—	Company name
`result.data.profiles[].current_employers[].linkedin_id`	`string`	No	—	Company’s LinkedIn ID
`result.data.profiles[].current_employers[].logo_url`	`string \| null`	No	—	Company logo URL Format: `uri`.
`result.data.profiles[].current_employers[].linkedin_description`	`string \| null`	No	—	Company description from LinkedIn
`result.data.profiles[].current_employers[].company_id`	`integer \| null`	No	—	Internal company ID
`result.data.profiles[].current_employers[].company_website_domain`	`string \| null`	No	—	Company website domain
`result.data.profiles[].current_employers[].company_website`	`string \| null`	No	—	Company website URL Format: `uri`.
`result.data.profiles[].current_employers[].company_linkedin_profile_url`	`string \| null`	No	—	Company’s LinkedIn profile URL Format: `uri`.
`result.data.profiles[].current_employers[].position_id`	`integer \| null`	No	—	Internal position ID
`result.data.profiles[].current_employers[].title`	`string`	No	—	Job title at this company
`result.data.profiles[].current_employers[].description`	`string \| null`	No	—	Job description
`result.data.profiles[].current_employers[].location`	`string \| null`	No	—	Job location
`result.data.profiles[].current_employers[].start_date`	`string \| null`	No	—	Position start date Format: `date-time`.
`result.data.profiles[].current_employers[].end_date`	`string \| null`	No	—	Position end date (null if current) Format: `date-time`.
`result.data.profiles[].current_employers[].employment_type`	`"Full-time" \| "Part-time" \| "Internship" \| "Contract" \| "Self-employed" \| "Freelance" \| "Permanent" \| "Permanent Full-time" \| "Apprenticeship"`	No	—	Employment type for the position. One of the values listed in the enum, or `null` when the person did not specify an employment type on LinkedIn. Allowed: `Full-time`, `Part-time`, `Internship`, `Contract`, `Self-employed`, `Freelance`, `Permanent`, `Permanent Full-time`, `Apprenticeship`.
`result.data.profiles[].current_employers[].company_headquarters_country`	`string \| null`	No	—	Country of company headquarters
`result.data.profiles[].current_employers[].company_headquarters_address`	`string \| null`	No	—	Address of company headquarters
`result.data.profiles[].current_employers[].company_headcount_range`	`string \| null`	No	—	Employee count range (e.g., “10,001+“)
`result.data.profiles[].current_employers[].company_headcount_latest`	`integer \| null`	No	—	Latest known employee count
`result.data.profiles[].current_employers[].company_industries`	`array`	No	—	Industries the company operates in
`result.data.profiles[].current_employers[].company_type`	`string \| null`	No	—	Type of company (e.g., “Public Company”, “Privately Held”)
`result.data.profiles[].current_employers[].seniority_level`	`string \| null`	No	—	Seniority level of the position
`result.data.profiles[].current_employers[].function_category`	`string \| null`	No	—	Job function category
`result.data.profiles[].current_employers[].years_at_company`	`string \| null`	No	—	Categorical years at company
`result.data.profiles[].current_employers[].years_at_company_raw`	`number \| null`	No	—	Numeric years at company

The table shows the first 50 fields. Use the live contract below for every field.

This output schema is too large to embed without slowing the page. Get the complete live contract with deepline tools get crustdata_v2_persondb_search --json.

Deepline cost

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

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Reference

CrustData V2: Persondb Search

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CLI

Example response

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Output reference

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CLI

Example response

Input reference

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Deepline cost

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