People Search Fullenrich API

/v1/run/people_search.fullenrich

Category enrichmentRequests / mo -Routing 1 lane · no failover

Get ~100 free requests

Pricing

One price, in dollars

pay per request · no subscription · fallbacks added as the catalog grows

Request

Gateway request

discovered operation

↓

Router

↓

Providers · 1

Dolphin- served- uptime- p50---$25.20/1k resultsup to $2.52 / request

↳ One lane serves this endpoint today, so a failed call has nowhere to fail over to. Failed attempts are never billed. Uptime, latency and traffic are measured through the gateway, last 30 days.

Call it

Make your first request

POST /v1/run/people_search.fullenrich · same shape for every API

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/people_search.fullenrich",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={},
)
print(res.json())

Open inPrompt copied

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Sample response

{
  "data": {
    "nextCursor": "example",
    "offset": 42,
    "people": [
      {
        "city": "San Francisco",
        "company": {
          "companyId": "Acme Inc",
          "companyType": "Acme Inc",
          "description": "A short example description of this item.",
          "domain": "example.com",
          "foundedYear": 2024,
          "headcount": 12500,
          "headcountRange": "example",
          "headquarters": {
            "city": "San Francisco",
            "country": "US",
            "countryCode": "US",
            "line1": "example",
            "line2": "example",
            "region": "CA"
          },
          "image": "https://example.com/image.jpg",
          "industry": "general",
          "linkedinFollowers": 12500,
          "linkedinHandle": "https://example.com/page",
          "linkedinId": "https://example.com/page",
          "linkedinUrl": "https://example.com/page",
          "name": "Example title",
          "offices": [
            {
              "line1": null,
              "line2": null
            }
          ],
          "specialties": [
            "example"
          ],
          "website": "https://example.com/page"
        },
        "country": "US",
        "countryCode": "US",
        "description": "A short example description of this item.",
        "educations": [
          {
            "degree": "example",
            "endUtc": 12.5,
            "schoolName": "Example title",
            "startUtc": 12.5
          }
        ],
        "firstName": "Alex",
        "fullName": "Alex Rivera",
        "headline": "Example title",
        "isCurrent": true,
        "jobStartUtc": 12.5,
        "jobTitle": "Example title",
        "languages": [
          {
            "language": "en",
            "proficiency": "example"
          }
        ],
        "lastName": "Rivera",
        "linkedinConnections": 42,
        "linkedinHandle": "https://example.com/page",
        "linkedinId": "https://example.com/page",
        "linkedinUrl": "https://example.com/page",
        "personId": "a1b2c3d4",
        "region": "CA",
        "seniority": "example",
        "skills": [
          "example"
        ]
      }
    ],
    "total": 12500
  },
  "found": true
}

Response interface

interface PeopleSearchFullenrichResponse {
  data: {
    nextCursor?: string | null;
    offset?: number;
    people: {
      city?: string;
      company?: {
        companyId?: string;
        companyType?: string;
        description?: string;
        domain?: string;
        foundedYear?: number;
        headcount?: number;
        headcountRange?: string;
        headquarters?: {
          city?: string;
          country?: string;
          countryCode?: string;
          line1?: string;
          line2?: string;
          region?: string;
        };
        image?: string;
        industry?: string;
        linkedinFollowers?: number;
        linkedinHandle?: string;
        linkedinId?: string;
        linkedinUrl?: string;
        name?: string;
        offices?: {
          line1?: string;
          line2?: string;
        }[];
        specialties?: string[];
        website?: string;
      };
      country?: string;
      countryCode?: string;
      description?: string;
      educations?: {
        degree?: string;
        endUtc?: number;
        schoolName: string;
        startUtc?: number;
      }[];
      firstName?: string;
      fullName: string;
      headline?: string;
      isCurrent?: boolean;
      jobStartUtc?: number;
      jobTitle?: string;
      languages?: {
        language: string;
        proficiency?: string;
      }[];
      lastName?: string;
      linkedinConnections?: number;
      linkedinHandle?: string;
      linkedinId?: string;
      linkedinUrl?: string;
      personId?: string;
      region?: string;
      seniority?: string;
      skills?: string[];
    }[];
    total?: number;
  } | null;
  found: boolean;
}

Full parameter and response reference - every field, type, and example for this endpoint.

Reference

Request, response, and price

Last verified 2026-09-03 · uptime and latency measured over 30d

POST /v1/run/people_search.fullenrich

curl -X POST https://api.getanyapi.com/v1/run/people_search.fullenrich \
  -H "Authorization: Bearer $ANYAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"currentCompanyDomains":[{"exact_match":true,"value":"stripe.com"}],"limit":1}'

Field	Type	Example value
Request body
currentCompanyDomains	array	[{"exact_match":true,"value":"stripe.com"}]Filter by current employer domain. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyFoundedYears	array	Filter by current employer founding year. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyHeadcounts	array	Filter by current employer headcount band. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyHeadquarters	array	Filter by current employer headquarters location. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyIds	array	Filter by FullEnrich company id of the current employer. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyIndustries	array	Filter by current employer industry. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyLinkedinUrls	array	Filter by current employer LinkedIn URL. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyNames	array	Filter by current employer name. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanySpecialties	array	Filter by a current employer specialty. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentCompanyTypes	array	Filter by current employer ownership type. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentPositionJobFunctions	array	Filter by current job function. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentPositionSeniorityLevel	array	Filter by seniority, e.g. Owner, Founder, C-level, VP, Director, Manager. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentPositionSubFunctions	array	Filter by current job sub-function. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentPositionTitles	array	Filter by current job title. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
currentPositionYearsIn	array	Filter by years spent in the current position. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
cursor	string	Cursor from a previous response's nextCursor. Works at any depth, including past the 10000 offset ceiling.
limit	integer	1Rows to return on this page, up to FullEnrich's maximum of 100. Every row returned is billed.
offset	integer	Rows to skip. FullEnrich caps offset at 10000; past that, page with cursor.
pastCompanyDomains	array	Filter by the domain of a past employer. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
pastCompanyNames	array	Filter by an employer the person worked at before. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
pastPositionTitles	array	Filter by a job title the person held before. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personIds	array	Filter by FullEnrich person id. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personLanguages	array	Filter by a language the person speaks. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personLinkedinUrls	array	Filter by person LinkedIn URL. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personLocations	array	Filter by the person's city, region or country. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personNames	array	Filter by person name. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
personSkills	array	Filter by a skill the person lists. Each entry is an object taking a `value` string and an optional `exact_match` boolean, e.g. [{"value": "stripe.com", "exact_match": true}]. A bare string is rejected.
Response
data	object	One page of matching records plus FullEnrich's paging state.
data.nextCursor	string	Cursor for the next page, or null when this lane is complete. Send it back as cursor.
data.offset	integer	Rows skipped before this page.
data.people	object[]	Matching people, each with their current employer's firmographic record. Email addresses and phone numbers are not included; FullEnrich reveals those through its enrichment endpoints.
data.people[].city	string	City the person is in.
data.people[].company	object	The person's current employer, with FullEnrich's full firmographic record.
data.people[].company.companyId	string	FullEnrich's own company identifier.
data.people[].company.companyType	string	Ownership type, e.g. Public Company, Privately Held.
data.people[].company.description	string	Company description.
data.people[].company.domain	string	Primary company domain.
data.people[].company.foundedYear	integer	Year the company was founded. Zero when FullEnrich holds none.
data.people[].company.headcount	integer	Employees FullEnrich currently counts.
data.people[].company.headcountRange	string	Employee headcount band, e.g. 5001-10000.
data.people[].company.headquarters	object	Headquarters address.
data.people[].company.headquarters.city	string	City.
data.people[].company.headquarters.country	string	Country name.
data.people[].company.headquarters.countryCode	string	ISO 3166-1 alpha-2 country code.
data.people[].company.headquarters.line1	string	First address line.
data.people[].company.headquarters.line2	string	Second address line, carrying city, region, postal code and country.
data.people[].company.headquarters.region	string	State or region.
data.people[].company.image	string	Company logo URL.
data.people[].company.industry	string	Main industry.
data.people[].company.linkedinFollowers	integer	LinkedIn follower count.
data.people[].company.linkedinHandle	string	Company LinkedIn vanity handle.
data.people[].company.linkedinId	string	Company LinkedIn numeric id.
data.people[].company.linkedinUrl	string	Company LinkedIn page URL.
data.people[].company.name	string	Company name.
data.people[].company.offices	object[]	Every other office FullEnrich holds for the company.
data.people[].company.offices[].line1	string	First address line.
data.people[].company.offices[].line2	string	Second address line, carrying city, region, postal code and country.
data.people[].company.specialties	string[]	Specialties the company lists for itself.
data.people[].company.website	string	Company website URL.
data.people[].country	string	Country name.
data.people[].countryCode	string	ISO 3166-1 alpha-2 country code.
data.people[].description	string	Profile summary text.
data.people[].educations	object[]	Education history.
data.people[].educations[].degree	string	Degree earned.
data.people[].educations[].endUtc	number	UTC epoch timestamp in seconds (Unix time) study ended. Multiply by 1000 for a JS Date in milliseconds.
data.people[].educations[].schoolName	string	School name.
data.people[].educations[].startUtc	number	UTC epoch timestamp in seconds (Unix time) study started. Multiply by 1000 for a JS Date in milliseconds.
data.people[].firstName	string	First name.
data.people[].fullName	string	Person's full name.
data.people[].headline	string	LinkedIn headline.
data.people[].isCurrent	boolean	True while FullEnrich treats the role as current.
data.people[].jobStartUtc	number	UTC epoch timestamp in seconds (Unix time) the current role started. Multiply by 1000 for a JS Date in milliseconds.
data.people[].jobTitle	string	Current job title.
data.people[].languages	object[]	Languages the person speaks.
data.people[].languages[].language	string	Language name.
data.people[].languages[].proficiency	string	Proficiency band, e.g. FULL_PROFESSIONAL.
data.people[].lastName	string	Last name.
data.people[].linkedinConnections	integer	LinkedIn connection count.
data.people[].linkedinHandle	string	LinkedIn vanity handle.
data.people[].linkedinId	string	LinkedIn numeric member id.
data.people[].linkedinUrl	string	LinkedIn profile URL.
data.people[].personId	string	FullEnrich's own person identifier.
data.people[].region	string	State or region.
data.people[].seniority	string	Seniority band for the current role, e.g. Manager, C-level.
data.people[].skills	string[]	Skills the person lists.
data.total	integer	Rows matching the filters across all pages.
found	boolean	False when nothing matched the filters.
Price
Price per request (ceiling)	USD	$2.52
Price /1k results	USD	$25.20

FAQ

About the People Search Fullenrich API

The AnyAPI People Search Fullenrich API returns People Search fullenrich data as normalized JSON from one POST call to /v1/run/people_search.fullenrich. Prospect FullEnrich's person database by title, seniority, function, skill, language and location, plus any current or past employer firmographic. Every row carries the person's employer record. Billed per person returned. AnyAPI returns one normalized schema whichever source serves it. It costs $25.20 per 1,000 results, and never more than $2.52 for a single request, in US dollars with no subscription and no monthly minimum.

It costs $25.20 per 1,000 results, and never more than $2.52 for a single request, in US dollars with no subscription and no monthly minimum. You fund one USD wallet, each call draws it down, and a failed request costs $0.

Prospect FullEnrich's person database by title, seniority, function, skill, language and location, plus any current or past employer firmographic. Every row carries the person's employer record. Billed per person returned. The response is normalized JSON with the same envelope every AnyAPI endpoint returns, so parsing a second endpoint is a change of URL and nothing else.

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