CrustData V2: People Search Realtime

Search for people on the web in real time using a set of filters.

Tool ID: crustdata_v2_people_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_people_search_realtime',
  {
    "filters": [
      {
        "filter_type": "example",
        "type": "in",
        "value": [
          "example"
        ]
      }
    ]
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute crustdata_v2_people_search_realtime --input '{
  "filters": [
    {
      "filter_type": "example",
      "type": "in",
      "value": [
        "example"
      ]
    }
  ]
}' --json

Example response

The static output schema lacks the details for a reliable example. Use deepline describe crustdata_v2_people_search_realtime --json for the complete live contract.

Input reference

Searches for people based on either a set of filters. - Filters: Provide an array of filter_type, type, and value. See How to Build Filters. Show Docs

Name	Type	Required	Default	Details
`payload.filters`	`array`	Yes	—	Each item contains filter_type, type, value. For details, see How to Build Filters.
`payload.page`	`integer`	No	`1`	The page number for pagination (starts from 1). Default is 1.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.profiles`	`array`	No	—	—
`result.data.profiles[].name`	`string`	No	—	Full name of the individual.
`result.data.profiles[].location`	`string`	No	—	Current location of the individual.
`result.data.profiles[].linkedin_profile_url`	`string`	No	—	URL of the individual’s LinkedIn profile. Format: `uri`.
`result.data.profiles[].linkedin_profile_urn`	`string`	No	—	Unique identifier for the LinkedIn profile.
`result.data.profiles[].default_position_title`	`string`	No	—	Title of the individual’s current position.
`result.data.profiles[].default_position_company_linkedin_id`	`string`	No	—	LinkedIn ID of the company where the individual holds their default position.
`result.data.profiles[].default_position_is_decision_maker`	`boolean`	No	—	Indicates if the individual is a decision maker in their current position.
`result.data.profiles[].flagship_profile_url`	`string`	No	—	URL of the flagship LinkedIn profile. Format: `uri`.
`result.data.profiles[].profile_picture_url`	`string \| null`	No	—	URL of the individual’s profile picture (can be null). Format: `uri`.
`result.data.profiles[].headline`	`string`	No	—	Professional headline of the individual.
`result.data.profiles[].summary`	`string`	No	—	Summary of the individual’s professional experience.
`result.data.profiles[].num_of_connections`	`integer`	No	—	Number of LinkedIn connections the individual has.
`result.data.profiles[].related_colleague_company_id`	`integer`	No	—	LinkedIn ID of a related colleague’s company.
`result.data.profiles[].skills`	`array`	No	—	List of skills possessed by the individual.
`result.data.profiles[].employer`	`array`	No	—	—
`result.data.profiles[].employer[].title`	`string`	No	—	Job title of the individual at the company.
`result.data.profiles[].employer[].company_name`	`string`	No	—	Name of the company.
`result.data.profiles[].employer[].company_linkedin_id`	`string`	No	—	LinkedIn ID of the company.
`result.data.profiles[].employer[].start_date`	`string`	No	—	Start date of employment. Format: `date-time`.
`result.data.profiles[].employer[].end_date`	`string \| null`	No	—	End date of employment (can be null if currently employed). Format: `date-time`.
`result.data.profiles[].employer[].description`	`string \| null`	No	—	Description of the role (can be null).
`result.data.profiles[].employer[].location`	`string`	No	—	Location of the company.
`result.data.profiles[].employer[].rich_media`	`array`	No	—	—
`result.data.profiles[].education_background`	`array`	No	—	—
`result.data.profiles[].education_background[].degree_name`	`string \| null`	No	—	Name of the degree obtained (can be null).
`result.data.profiles[].education_background[].institute_name`	`string`	No	—	Name of the educational institution.
`result.data.profiles[].education_background[].field_of_study`	`string`	No	—	Area of study.
`result.data.profiles[].education_background[].start_date`	`string`	No	—	Start date of education. Format: `date-time`.
`result.data.profiles[].education_background[].end_date`	`string`	No	—	End date of education. Format: `date-time`.
`result.data.profiles[].emails`	`array`	No	—	List of email addresses associated with the individual.
`result.data.profiles[].websites`	`array`	No	—	List of personal or professional websites.
`result.data.profiles[].twitter_handle`	`string \| null`	No	—	Twitter username of the individual (can be null).
`result.data.profiles[].languages`	`array`	No	—	List of languages spoken by the individual.
`result.data.profiles[].pronoun`	`string \| null`	No	—	Preferred pronouns of the individual (can be null).
`result.data.profiles[].current_title`	`string`	No	—	Current job title of the individual.
`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