API de Company Search

API de Company Search: Peopledatalabs

Busca en el conjunto de datos de empresas de People Data Labs con SQL o una consulta de Elasticsearch y recibe el registro firmográfico completo, incluidos el historial de financiamiento y las series de crecimiento de plantilla, antigüedad y rotación. Se cobra por cada empresa devuelta.

US$120.00/1k resultados, pagas por solicitud, sin suscripción.

inVercel Inc. | LinkedIn
linkedin.com/search/results/companies/?keywords=Vercel%20Inc.
Linkedin
PeopleJobsCompaniesPostsGroups
Company sizeHeadquartersIndustryHiring on LinkedIn

About 4,600 results

Computer Software · San Francisco, California, United States

412 employees on LinkedIn · 68,400 followers

+ Follow
Lo que devolvió la APIcompanies[0]
{
"name": "Vercel Inc.",
"nameNormalized": "vercel inc",
"pdlId": "pdl-comp-vercel-9f21",
"website": "vercel.com",
"summary": "Vercel gives developers the frameworks, workflows and infrastructure to build a faster, more personalized web, powering the Next.js framework and deploying frontends at global edge scale.",
"headline": "The Frontend Cloud.",
"size": "251-500",
"employeeCount": 412,
... 50 campos más
}
Disponibilidad
100.00%
30d · 17 llamadas
Solicitudes
21
30d · semanal, últimas 12 sem.
Respuesta
1.6s
mediana · 30d

Llámalo

Obtén Peopledatalabs de Company Search en una sola solicitud

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/company_search.peopledatalabs",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={
        "limit": 1,
        "sql": "SELECT * FROM company WHERE website = 'posthog.com'"
    },
)
print(res.json())
Abrir en
Respuesta de ejemplo

Este ejemplo muestra 62 de 84 campos. Ver todos los campos

{
  "found": true,
  "data": {
    "companies": [
      {
        "name": "Vercel Inc.",
        "nameNormalized": "vercel inc",
        "pdlId": "pdl-comp-vercel-9f21",
        "website": "vercel.com",
        "summary": "Vercel gives developers the frameworks, workflows and infrastructure to build a faster, more personalized web, powering the Next.js framework and deploying frontends at global edge scale.",
        "headline": "The Frontend Cloud.",
        "size": "251-500",
        "employeeCount": 412,
        "founded": 2015,
        "type": "Private",
        "industry": "Computer Software",
        "industryV2": "Software Development",
        "inferredRevenue": "$50M-$100M",
        "ticker": "",
        "tags": [
          "Cloud Computing",
          "Web Development",
          "Developer Tools",
          "SaaS"
        ],
        "alternativeNames": [
          "Vercel",
          "ZEIT"
        ],
        "alternativeDomains": [
          "vercel.app"
        ],
        "linkedinUrl": "https://www.linkedin.com/company/vercel",
        "linkedinId": "18697848",
        "linkedinSlug": "vercel",
        "linkedinFollowers": 68400,
        "facebookUrl": "https://www.facebook.com/vercel",
        "twitterUrl": "https://twitter.com/vercel",
        "profiles": [
          "linkedin.com/company/vercel",
          "twitter.com/vercel",
          "facebook.com/vercel"
        ],
        "location": {
          "name": "San Francisco, California, United States",
          "locality": "San Francisco",
          "metro": "San Francisco Bay Area",
          "region": "California",
          "country": "United States",
          "continent": "North America",
          "streetAddress": "340 S Lemon Ave",
          "addressLine2": "#4133",
          "postalCode": "91789",
          "geo": "37.7749,-122.4194"
        },
        "naicsCodes": [
          {
            "code": "511210",
            "sector": "Information",
            "subSector": "Publishing Industries (except Internet)",
            "industryGroup": "Software Publishers",
            "naicsIndustry": "Software Publishers",
            "nationalIndustry": "Software Publishers"
          }
        ],
        "sicCodes": [
          {
            "code": "7372",
            "majorGroup": "Services",
            "industryGroup": "Prepackaged Software",
            "industrySector": "Computer Programming, Data Processing"
          }
        ],
        "totalFundingRaised": 313000000,
        "latestFundingStage": "series_e",
        "lastFundingUtc": 1685577600,
        "fundingRounds": 6,
        "fundingStages": [
          "seed",
          "series_a",
          "series_b",
          "series_c",
          "series_d",
          "series_e"
        ],
        "averageEmployeeTenure": 2.1,
        "medianEmployeeTenure": 1.8,
        "employeeGrowthRate": {
          "12_month": 0.14
        },
        "employeeCountByCountry": {
          "united states": 320,
          "united kingdom": 40,
          "canada": 22
        },
        "employeeCountByRole": {
          "engineering": 210,
          "sales": 48,
          "marketing": 26,
          "customer success": 30
        }
      },
      {
        "name": "Retool Inc.",
        "nameNormalized": "retool inc",
        "pdlId": "pdl-comp-retool-4a17",
        "website": "retool.com",
        "summary": "Retool builds a fast way to build internal software, letting engineering teams assemble admin panels, dashboards and CRUD apps from pre-built components connected to any database or API.",
        "headline": "The fast way to build internal tools.",
        "size": "251-500",
        "employeeCount": 358,
        "founded": 2017,
        "type": "Private",
        "industry": "Computer Software",
        "industryV2": "Software Development",
        "inferredRevenue": "$100M-$250M",
        "tags": [
          "Internal Tools",
          "Low-Code",
          "Developer Tools"
        ],
        "alternativeNames": [
          "Retool"
        ],
        "alternativeDomains": [],
        "linkedinUrl": "https://www.linkedin.com/company/retool",
        "linkedinId": "18089273",
        "linkedinSlug": "retool",
        "linkedinFollowers": 41200,
        "twitterUrl": "https://twitter.com/retool",
        "profiles": [
          "linkedin.com/company/retool",
          "twitter.com/retool"
        ],
        "location": {
          "name": "San Francisco, California, United States",
          "locality": "San Francisco",
          "metro": "San Francisco Bay Area",
          "region": "California",
          "country": "United States",
          "continent": "North America",
          "postalCode": "94103",
          "geo": "37.7749,-122.4194"
        },
        "totalFundingRaised": 141000000,
        "latestFundingStage": "series_c",
        "lastFundingUtc": 1631750400,
        "fundingRounds": 3,
        "fundingStages": [
          "series_a",
          "series_b",
          "series_c"
        ],
        "averageEmployeeTenure": 1.9,
        "employeeCountByCountry": {
          "united states": 300,
          "united kingdom": 58
        }
      }
    ],
    "total": 3814,
    "datasetVersion": "27.3"
  }
}

Referencia completa de parámetros y respuesta: cada campo, tipo y ejemplo de este endpoint.

Referencia

Una solicitud, un formato de respuesta.

Cada campo que envías y cada campo que recibes, cada uno con un ejemplo real.

Verificado por última vez el 2026-11-14 · disponibilidad y latencia medidas en 30d

Cuerpo de la solicitud

JSON, enviado por POST a este endpoint.

  • dataIncludestring

    Campos de People Data Labs separados por comas que incluir, o una lista precedida de - para excluir. La proyección solo cambia el payload; el cobro sigue dependiendo de las empresas devueltas.

  • limitinteger

    2

    Máximo de empresas que devolver. Se cobra cada empresa devuelta, así que empieza con 1 para probar una consulta y lee total antes de pedir más.

  • queryobject

    Consulta al estilo Elasticsearch sobre el conjunto de datos de empresas de People Data Labs, p. ej., {"bool": {"must": [{"term": {"website": "posthog.com"}}]}}. Envía esto o sql, nunca ambos.

  • sqlstring

    SELECT * FROM company WHERE location.country='united states' AND industry='computer software' AND employee_count>50

    SQL de People Data Labs, con la forma SELECT * FROM company WHERE ... . Los literales de texto usan comillas simples, solo se admite SELECT * y los nombres de campo deben ser campos de empresa reales de People Data Labs, incluidos subcampos anidados como location.country. No incluyas una cláusula LIMIT; People Data Labs la rechaza. Usa limit en su lugar. Envía esto o query, nunca ambos.

  • titlecaseboolean

    true

    Devuelve el texto con mayúscula inicial en cada palabra en lugar del texto en minúsculas que People Data Labs usa por defecto.

Envías. Un cuerpo JSON pequeño. Los valores que se muestran son ejemplos para reemplazar por los tuyos.

Respuesta

JSON, un valor de ejemplo por campo.

each companydata.companies[]

Matching company records, up to limit.

  • affiliatedEntities(string | null)[]

    People Data Labs company ids of affiliated entities.

  • affiliatedProfilesstring[]

    People Data Labs company ids of affiliated profiles.

  • allSubsidiariesstring[]

    People Data Labs company ids of every subsidiary, at any depth.

  • alternativeDomainsstring[]

    Other domains the company owns.

  • alternativeNamesstring[]

    Other names the company trades under.

  • averageEmployeeTenurenumber

    2.1

    Average employee tenure in years.

  • averageTenureByLevelobject

    Average tenure in years, keyed by seniority level.

  • averageTenureByRoleobject

    Average tenure in years, keyed by role.

  • directSubsidiariesstring[]

    People Data Labs company ids of direct subsidiaries.

  • employeeChurnRateobject

    Churn rate keyed by window, e.g. 12_month.

  • employeeCountinteger

    412

    Employees People Data Labs currently counts.

  • employeeCountByClassobject

    Headcount keyed by job class.

  • employeeCountByCountryobject

    Headcount keyed by country.

  • employeeCountByMonthobject

    Headcount keyed by YYYY-MM month.

  • employeeCountByRoleobject

    Headcount keyed by role.

  • employeeCountBySubRoleobject

    Headcount keyed by sub-role.

  • employeeGrowthRateobject

    Headcount growth rate keyed by window.

  • employeeGrowthRate12MonthByClassobject

    Twelve-month headcount growth rate keyed by job class.

  • employeeGrowthRate12MonthByCountryobject

    Twelve-month headcount growth keyed by country, each entry carrying current and prior headcount.

  • employeeGrowthRate12MonthByRoleobject

    Twelve-month headcount growth rate keyed by role.

  • employeeTurnoverRateobject

    Turnover rate keyed by window, e.g. 3_month, 12_month.

  • facebookUrlstring

    https://www.facebook.com/vercel

    Company Facebook page URL.

  • foundedinteger

    2015

    Year the company was founded.

  • fundingRoundsinteger

    6

    Number of funding rounds raised.

  • fundingStagesstring[]

    Every funding stage the company has raised.

  • grossAdditionsByMonthobject

    Employees joined, keyed by YYYY-MM month.

  • grossDeparturesByMonthobject

    Employees departed, keyed by YYYY-MM month.

  • headlinestring

    The Frontend Cloud.

    One-line company tagline.

  • immediateParentstring

    People Data Labs company id of the immediate parent company.

  • industrystring

    Computer Software

    Company industry.

  • industryV2string

    Software Development

    Company industry on People Data Labs' newer taxonomy.

  • inferredRevenuestring

    $50M-$100M

    Inferred annual revenue band, e.g. $50M-$100M.

  • lastFundingUtcnumber

    1685577600

    UTC epoch timestamp in seconds (Unix time) of the most recent funding round. Multiply by 1000 for a JS Date in milliseconds.

  • latestFundingStagestring

    series_e

    Most recent funding stage, e.g. series_e.

  • linkedinFollowersinteger

    68400

    LinkedIn follower count.

  • linkedinIdstring

    18697848

    Company LinkedIn numeric id.

  • linkedinSlugstring

    vercel

    Company LinkedIn vanity slug.

  • linkedinUrlstring

    https://www.linkedin.com/company/vercel

    Company LinkedIn page URL.

  • medianEmployeeTenurenumber

    1.8

    Median employee tenure in years.

  • medianTenureByLevelobject

    Median tenure in years, keyed by seniority level.

  • medianTenureByRoleobject

    Median tenure in years, keyed by role.

  • micExchangestring

    MIC code of the exchange the company lists on.

  • namestring

    Vercel Inc.

    Company name as People Data Labs displays it.

  • nameNormalizedstring

    vercel inc

    Lowercase normalized company name, the form People Data Labs matches on.

  • pdlIdstring

    pdl-comp-vercel-9f21

    People Data Labs persistent company id.

  • profilesstring[]

    Every social profile People Data Labs links to the company.

  • sizestring

    251-500

    Employee headcount band, e.g. 11-50.

  • summarystring

    Vercel gives developers the frameworks, workflows and infrastructure to build a faster, more personalized web, powering the Next.js framework and deploying frontends at global edge scale.

    Long company description.

  • tagsstring[]

    Descriptive tags for the company.

  • tickerstring

    Stock ticker, for listed companies.

  • totalFundingRaisednumber

    313000000

    Total capital raised, in USD.

  • twitterUrlstring

    https://twitter.com/vercel

    Company X (Twitter) profile URL.

  • typestring

    Private

    Ownership type, e.g. private, public.

  • ultimateParentstring

    People Data Labs company id of the ultimate parent company.

  • websitestring

    vercel.com

    Company website domain.

locationdata.companies[].location

Company headquarters.

  • addressLine2string

    #4133

    Second line of the address.

  • continentstring

    North America

    Continent.

  • countrystring

    United States

    Country.

  • geostring

    37.7749,-122.4194

    Coordinates as "lat,lon".

  • localitystring

    San Francisco

    City.

  • metrostring

    San Francisco Bay Area

    Metro area.

  • namestring

    San Francisco, California, United States

    Location as one display string.

  • postalCodestring

    91789

    Postal code.

  • regionstring

    California

    State or region.

  • streetAddressstring

    340 S Lemon Ave

    Street address.

each naicsCodedata.companies[].naicsCodes[]

NAICS classification for the company.

  • codestring

    511210

    NAICS code.

  • industryGroupstring

    Software Publishers

    NAICS industry group.

  • naicsIndustrystring

    Software Publishers

    NAICS industry.

  • nationalIndustrystring

    Software Publishers

    NAICS national industry.

  • sectorstring

    Information

    NAICS sector.

  • subSectorstring

    Publishing Industries (except Internet)

    NAICS sub-sector.

each sicCodedata.companies[].sicCodes[]

SIC classification for the company.

  • codestring

    7372

    SIC code.

  • industryGroupstring

    Prepackaged Software

    SIC industry group.

  • industrySectorstring

    Computer Programming, Data Processing

    SIC industry sector.

  • majorGroupstring

    Services

    SIC major group.

datadata

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.

  • datasetVersionstring

    27.3

    Version of the People Data Labs dataset these records came from.

  • totalinteger

    3814

    Companies matching the query across the whole dataset, not just this page.

top level
  • foundboolean

    true

    False when the query matched no company.

  • reason"not_found"

    Present only when `found` is false, and says why there is no result. `not_found`: the source states the target does not exist, or returned nothing for it. A `found: false` answer is a successful call, not an error, and `costUsd` is what it actually cost.

Recibes. Campos con nombre y tipo, con el mismo formato sin importar qué fuente responda.

Preguntas frecuentes

Acerca del endpoint Peopledatalabs de la API de Company Search

El endpoint Peopledatalabs de AnyAPI para Company Search devuelve datos de Company Search como JSON normalizado con una sola llamada POST a /v1/run/company_search.peopledatalabs. Busca en el conjunto de datos de empresas de People Data Labs con SQL o una consulta de Elasticsearch y recibe el registro firmográfico completo, incluidos el historial de financiamiento y las series de crecimiento de plantilla, antigüedad y rotación. Se cobra por cada empresa devuelta. AnyAPI devuelve un único esquema normalizado sin importar qué fuente atienda la solicitud. Cuesta US$120 por cada 1,000 resultados, y nunca más de US$9.96 por una sola solicitud, en dólares estadounidenses, sin suscripción y sin mínimo mensual. En los últimos 30 días, el 100.0% de las llamadas al endpoint Peopledatalabs de la API de Company Search a través de AnyAPI tuvo éxito, con un tiempo de respuesta mediano de 1.6 segundos en 17 llamadas medidas.

Cuesta US$120 por cada 1,000 resultados, y nunca más de US$9.96 por una sola solicitud, en dólares estadounidenses, sin suscripción y sin mínimo mensual. Agregas fondos a una billetera en dólares y cada llamada descuenta de ella. Algunas solicitudes fallidas pagadas con la billetera generan cargos de procesamiento que trasladamos al costo, sin margen; la respuesta de error muestra el monto cobrado.

Busca en el conjunto de datos de empresas de People Data Labs con SQL o una consulta de Elasticsearch y recibe el registro firmográfico completo, incluidos el historial de financiamiento y las series de crecimiento de plantilla, antigüedad y rotación. Se cobra por cada empresa devuelta. La respuesta es JSON normalizado con el mismo envoltorio que devuelve cada endpoint de AnyAPI, así que procesar un segundo endpoint es solo cambiar la URL.

En los últimos 30 días, el 100.0% de las llamadas al endpoint Peopledatalabs de la API de Company Search a través de AnyAPI tuvo éxito, con un tiempo de respuesta mediano de 1.6 segundos en 17 llamadas medidas. Estas son mediciones propias de AnyAPI sobre el tráfico que pasa por el gateway, recalculadas continuamente, no un objetivo de nivel de servicio publicado.

Sí. Una cuenta nueva de AnyAPI empieza con US$0.10 de saldo gratis, sin tarjeta.

Envía una solicitud POST a https://api.getanyapi.com/v1/run/company_search.peopledatalabs con tu clave de AnyAPI en un encabezado "Authorization: Bearer" y la entrada como cuerpo JSON. La misma clave y la misma billetera sirven para todos los endpoints de AnyAPI.

No. Agregas dólares a un solo saldo prepagado de AnyAPI y cada solicitud descuenta de él. No hay plan mensual ni mínimo, y el mismo saldo paga todos los endpoints de AnyAPI.

Sí. Instala @getanyapi/sdk desde npm para TypeScript o getanyapi desde pip para Python. Ambos llaman a todos los endpoints de AnyAPI con la misma clave, y también sirve cualquier cliente HTTP.

Sí. Un agente puede conectarse al servidor MCP de AnyAPI en https://api.getanyapi.com/mcp, o crear su propia clave de prueba gratis con un solo POST sin autenticar a https://api.getanyapi.com/agent/signup y llamar a este endpoint por HTTP.