Company Search Peopledatalabs API

/v1/run/company_search.peopledatalabs

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---$120.00/1k resultsup to $9.96 / 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/company_search.peopledatalabs · same shape for every API

import os, requests

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

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Sample response

{
  "data": {
    "companies": [
      {
        "affiliatedEntities": [
          "example"
        ],
        "affiliatedProfiles": [
          "example"
        ],
        "allSubsidiaries": [
          "a1b2c3d4"
        ],
        "alternativeDomains": [
          "example.com"
        ],
        "alternativeNames": [
          "Example title"
        ],
        "averageEmployeeTenure": 29,
        "averageTenureByLevel": {},
        "averageTenureByRole": {},
        "directSubsidiaries": [
          "a1b2c3d4"
        ],
        "employeeChurnRate": {},
        "employeeCount": 12500,
        "employeeCountByClass": {},
        "employeeCountByCountry": {},
        "employeeCountByMonth": {},
        "employeeCountByRole": {},
        "employeeCountBySubRole": {},
        "employeeGrowthRate": {},
        "employeeGrowthRate12MonthByClass": {},
        "employeeGrowthRate12MonthByCountry": {},
        "employeeGrowthRate12MonthByRole": {},
        "employeeTurnoverRate": {},
        "facebookUrl": "https://example.com/page",
        "founded": 42,
        "fundingRounds": 42,
        "fundingStages": [
          "example"
        ],
        "grossAdditionsByMonth": {},
        "grossDeparturesByMonth": {},
        "headline": "Example title",
        "immediateParent": "example",
        "industry": "general",
        "industryV2": "general",
        "inferredRevenue": "example",
        "lastFundingUtc": 12.5,
        "latestFundingStage": "example",
        "linkedinFollowers": 12500,
        "linkedinId": "https://example.com/page",
        "linkedinSlug": "https://example.com/page",
        "linkedinUrl": "https://example.com/page",
        "location": {
          "addressLine2": "123 Main St",
          "continent": "example",
          "country": "US",
          "geo": "example",
          "locality": "example",
          "metro": "example",
          "name": "Example title",
          "postalCode": "94107",
          "region": "CA",
          "streetAddress": "123 Main St"
        },
        "medianEmployeeTenure": 12.5,
        "medianTenureByLevel": {},
        "medianTenureByRole": {},
        "micExchange": "example",
        "naicsCodes": [
          {
            "code": "a1b2c3d4",
            "industryGroup": "general",
            "naicsIndustry": "general",
            "nationalIndustry": "general",
            "sector": "example",
            "subSector": "example"
          }
        ],
        "name": "Example title",
        "nameNormalized": "Example title",
        "pdlId": "a1b2c3d4",
        "profiles": [
          "example"
        ],
        "sicCodes": [
          {
            "code": "a1b2c3d4",
            "industryGroup": "general",
            "industrySector": "general",
            "majorGroup": "Acme Inc"
          }
        ],
        "size": "example",
        "summary": "A short example description of this item.",
        "tags": [
          "example"
        ],
        "ticker": "example",
        "totalFundingRaised": 12500,
        "twitterUrl": "https://example.com/page",
        "type": "general",
        "ultimateParent": "example",
        "website": "https://example.com/page"
      }
    ],
    "datasetVersion": "example",
    "total": 12500
  },
  "found": true
}

Response interface

interface CompanySearchPeopledatalabsResponse {
  data: {
    companies: {
      affiliatedEntities?: string[];
      affiliatedProfiles?: string[];
      allSubsidiaries?: string[];
      alternativeDomains?: string[];
      alternativeNames?: string[];
      averageEmployeeTenure?: number;
      averageTenureByLevel?: {
      };
      averageTenureByRole?: {
      };
      directSubsidiaries?: string[];
      employeeChurnRate?: {
      };
      employeeCount?: number;
      employeeCountByClass?: {
      };
      employeeCountByCountry?: {
      };
      employeeCountByMonth?: {
      };
      employeeCountByRole?: {
      };
      employeeCountBySubRole?: {
      };
      employeeGrowthRate?: {
      };
      employeeGrowthRate12MonthByClass?: {
      };
      employeeGrowthRate12MonthByCountry?: {
      };
      employeeGrowthRate12MonthByRole?: {
      };
      employeeTurnoverRate?: {
      };
      facebookUrl?: string;
      founded?: number;
      fundingRounds?: number;
      fundingStages?: string[];
      grossAdditionsByMonth?: {
      };
      grossDeparturesByMonth?: {
      };
      headline?: string;
      immediateParent?: string;
      industry?: string;
      industryV2?: string;
      inferredRevenue?: string;
      lastFundingUtc?: number;
      latestFundingStage?: string;
      linkedinFollowers?: number;
      linkedinId?: string;
      linkedinSlug?: string;
      linkedinUrl?: string;
      location?: {
        addressLine2?: string;
        continent?: string;
        country?: string;
        geo?: string;
        locality?: string;
        metro?: string;
        name?: string;
        postalCode?: string;
        region?: string;
        streetAddress?: string;
      };
      medianEmployeeTenure?: number;
      medianTenureByLevel?: {
      };
      medianTenureByRole?: {
      };
      micExchange?: string;
      naicsCodes?: {
        code: string;
        industryGroup?: string;
        naicsIndustry?: string;
        nationalIndustry?: string;
        sector?: string;
        subSector?: string;
      }[];
      name: string;
      nameNormalized?: string;
      pdlId?: string;
      profiles?: string[];
      sicCodes?: {
        code: string;
        industryGroup?: string;
        industrySector?: string;
        majorGroup?: string;
      }[];
      size?: string;
      summary?: string;
      tags?: string[];
      ticker?: string;
      totalFundingRaised?: number;
      twitterUrl?: string;
      type?: string;
      ultimateParent?: string;
      website?: string;
    }[];
    datasetVersion?: 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/company_search.peopledatalabs

curl -X POST https://api.getanyapi.com/v1/run/company_search.peopledatalabs \
  -H "Authorization: Bearer $ANYAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"limit":1,"sql":"SELECT * FROM company WHERE website = 'posthog.com'"}'

Field	Type	Example value
Request body
dataInclude	string	Comma-separated People Data Labs fields to include, or a leading - list to exclude. Projection changes the payload only; billing still follows companies returned.
limit	integer	1Maximum companies to return. Every company returned is billed, so start at 1 to check a query and read total before asking for more.
query	string	Elasticsearch-style query over the People Data Labs company dataset, e.g. {"bool": {"must": [{"term": {"website": "posthog.com"}}]}}. Send this or sql, never both.
sql	string	"SELECT * FROM company WHERE website = 'posthog.com'"People Data Labs SQL, in the form SELECT * FROM company WHERE ... . String literals take single quotes, only SELECT * is supported, and field names must be real People Data Labs company fields including nested subfields such as location.country. Do not include a LIMIT clause; People Data Labs rejects it. Use limit instead. Send this or query, never both.
titlecase	boolean	Return text in title case instead of People Data Labs' lowercase default.
Response
data	object	The matching companies plus the total the query matched. People Data Labs paginates with a scroll token that is not exposed here, so a call returns one page and total tells you how much is behind it.
data.companies	object[]	Matching company records, up to limit.
data.companies[].affiliatedEntities	string[]	People Data Labs company ids of affiliated entities.
data.companies[].affiliatedProfiles	string[]	People Data Labs company ids of affiliated profiles.
data.companies[].allSubsidiaries	string[]	People Data Labs company ids of every subsidiary, at any depth.
data.companies[].alternativeDomains	string[]	Other domains the company owns.
data.companies[].alternativeNames	string[]	Other names the company trades under.
data.companies[].averageEmployeeTenure	number	Average employee tenure in years.
data.companies[].averageTenureByLevel	object	Average tenure in years, keyed by seniority level.
data.companies[].averageTenureByRole	object	Average tenure in years, keyed by role.
data.companies[].directSubsidiaries	string[]	People Data Labs company ids of direct subsidiaries.
data.companies[].employeeChurnRate	object	Churn rate keyed by window, e.g. 12_month.
data.companies[].employeeCount	integer	Employees People Data Labs currently counts.
data.companies[].employeeCountByClass	object	Headcount keyed by job class.
data.companies[].employeeCountByCountry	object	Headcount keyed by country.
data.companies[].employeeCountByMonth	object	Headcount keyed by YYYY-MM month.
data.companies[].employeeCountByRole	object	Headcount keyed by role.
data.companies[].employeeCountBySubRole	object	Headcount keyed by sub-role.
data.companies[].employeeGrowthRate	object	Headcount growth rate keyed by window.
data.companies[].employeeGrowthRate12MonthByClass	object	Twelve-month headcount growth rate keyed by job class.
data.companies[].employeeGrowthRate12MonthByCountry	object	Twelve-month headcount growth keyed by country, each entry carrying current and prior headcount.
data.companies[].employeeGrowthRate12MonthByRole	object	Twelve-month headcount growth rate keyed by role.
data.companies[].employeeTurnoverRate	object	Turnover rate keyed by window, e.g. 3_month, 12_month.
data.companies[].facebookUrl	string	Company Facebook page URL.
data.companies[].founded	integer	Year the company was founded.
data.companies[].fundingRounds	integer	Number of funding rounds raised.
data.companies[].fundingStages	string[]	Every funding stage the company has raised.
data.companies[].grossAdditionsByMonth	object	Employees joined, keyed by YYYY-MM month.
data.companies[].grossDeparturesByMonth	object	Employees departed, keyed by YYYY-MM month.
data.companies[].headline	string	One-line company tagline.
data.companies[].immediateParent	string	People Data Labs company id of the immediate parent company.
data.companies[].industry	string	Company industry.
data.companies[].industryV2	string	Company industry on People Data Labs' newer taxonomy.
data.companies[].inferredRevenue	string	Inferred annual revenue band, e.g. $50M-$100M.
data.companies[].lastFundingUtc	number	UTC epoch timestamp in seconds (Unix time) of the most recent funding round. Multiply by 1000 for a JS Date in milliseconds.
data.companies[].latestFundingStage	string	Most recent funding stage, e.g. series_e.
data.companies[].linkedinFollowers	integer	LinkedIn follower count.
data.companies[].linkedinId	string	Company LinkedIn numeric id.
data.companies[].linkedinSlug	string	Company LinkedIn vanity slug.
data.companies[].linkedinUrl	string	Company LinkedIn page URL.
data.companies[].location	object	Company headquarters.
data.companies[].location.addressLine2	string	Second line of the address.
data.companies[].location.continent	string	Continent.
data.companies[].location.country	string	Country.
data.companies[].location.geo	string	Coordinates as "lat,lon".
data.companies[].location.locality	string	City.
data.companies[].location.metro	string	Metro area.
data.companies[].location.name	string	Location as one display string.
data.companies[].location.postalCode	string	Postal code.
data.companies[].location.region	string	State or region.
data.companies[].location.streetAddress	string	Street address.
data.companies[].medianEmployeeTenure	number	Median employee tenure in years.
data.companies[].medianTenureByLevel	object	Median tenure in years, keyed by seniority level.
data.companies[].medianTenureByRole	object	Median tenure in years, keyed by role.
data.companies[].micExchange	string	MIC code of the exchange the company lists on.
data.companies[].naicsCodes	object[]	NAICS classification for the company.
data.companies[].naicsCodes[].code	string	NAICS code.
data.companies[].naicsCodes[].industryGroup	string	NAICS industry group.
data.companies[].naicsCodes[].naicsIndustry	string	NAICS industry.
data.companies[].naicsCodes[].nationalIndustry	string	NAICS national industry.
data.companies[].naicsCodes[].sector	string	NAICS sector.
data.companies[].naicsCodes[].subSector	string	NAICS sub-sector.
data.companies[].name	string	Company name as People Data Labs displays it.
data.companies[].nameNormalized	string	Lowercase normalized company name, the form People Data Labs matches on.
data.companies[].pdlId	string	People Data Labs persistent company id.
data.companies[].profiles	string[]	Every social profile People Data Labs links to the company.
data.companies[].sicCodes	object[]	SIC classification for the company.
data.companies[].sicCodes[].code	string	SIC code.
data.companies[].sicCodes[].industryGroup	string	SIC industry group.
data.companies[].sicCodes[].industrySector	string	SIC industry sector.
data.companies[].sicCodes[].majorGroup	string	SIC major group.
data.companies[].size	string	Employee headcount band, e.g. 11-50.
data.companies[].summary	string	Long company description.
data.companies[].tags	string[]	Descriptive tags for the company.
data.companies[].ticker	string	Stock ticker, for listed companies.
data.companies[].totalFundingRaised	number	Total capital raised, in USD.
data.companies[].twitterUrl	string	Company X (Twitter) profile URL.
data.companies[].type	string	Ownership type, e.g. private, public.
data.companies[].ultimateParent	string	People Data Labs company id of the ultimate parent company.
data.companies[].website	string	Company website domain.
data.datasetVersion	string	Version of the People Data Labs dataset these records came from.
data.total	integer	Companies matching the query across the whole dataset, not just this page.
found	boolean	False when the query matched no company.
Price
Price per request (ceiling)	USD	$9.96
Price /1k results	USD	$120.00

FAQ

About the Company Search Peopledatalabs API

The AnyAPI Company Search Peopledatalabs API returns Company Search peopledatalabs data as normalized JSON from one POST call to /v1/run/company_search.peopledatalabs. Search People Data Labs' company dataset with SQL or an Elasticsearch query and get the full firmographic record back, including funding history and the headcount growth, tenure and churn series. Billed per company returned. AnyAPI returns one normalized schema whichever source serves it. It costs $120 per 1,000 results, and never more than $9.96 for a single request, in US dollars with no subscription and no monthly minimum.

It costs $120 per 1,000 results, and never more than $9.96 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.

Search People Data Labs' company dataset with SQL or an Elasticsearch query and get the full firmographic record back, including funding history and the headcount growth, tenure and churn series. Billed per company 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.

More to call

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