API para Company Search

API para Company Search: Peopledatalabs

Busque no conjunto de dados de empresas da People Data Labs com SQL ou uma consulta Elasticsearch e receba o registro firmográfico completo, incluindo histórico de captação e as séries de crescimento de funcionários, tempo de casa e rotatividade. Cobrado por empresa retornada.

US$ 120,00/mil resultados, pague por requisição, sem assinatura.

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
O que a API retornoucompanies[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 a mais
}
Disponibilidade
100,00%
30d · 17 chamadas
Requisições
21
30d · semanal, últimas 12 sem.
Resposta
1,6s
mediana · 30d

Preços

Preços do endpoint Peopledatalabs da API para Company Search

Você paga
US$ 1.200,00
US$ 120,00/mil resultados, só pelo que você usar. Sem plano mensal.
Uma requisição custa no máximo US$ 9,96 (83 results).

Como chamar

Obtenha Peopledatalabs do Company Search em uma só requisição

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 em
Obter chave grátis
Resposta de exemplo

Este exemplo mostra 62 de 84 campos. Ver todos os 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"
  }
}

Referência completa de parâmetros e resposta - todos os campos, tipos e exemplos deste endpoint.

Referência

Uma requisição, um formato de resposta.

Cada campo que você envia e cada campo que você recebe, cada um com um exemplo real.

Última verificação em 2026-11-14 · disponibilidade e latência medidas em 30d

Corpo da requisição

JSON, enviado via POST para este endpoint.

  • dataIncludestring

    Campos da People Data Labs a incluir, separados por vírgula, ou uma lista iniciada por - para excluir. A projeção muda só o payload; a cobrança continua seguindo as empresas retornadas.

  • limitinteger

    2

    Número máximo de empresas a retornar. Cada empresa retornada é cobrada, então comece com 1 para testar a consulta e leia total antes de pedir mais.

  • queryobject

    Consulta no estilo Elasticsearch sobre o conjunto de dados de empresas da People Data Labs, por exemplo {"bool": {"must": [{"term": {"website": "posthog.com"}}]}}. Envie esta ou sql, nunca as duas.

  • sqlstring

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

    SQL da People Data Labs, no formato SELECT * FROM company WHERE ... . Literais de string usam aspas simples, só SELECT * é suportado e os nomes de campo precisam ser campos reais de empresa da People Data Labs, incluindo subcampos aninhados como location.country. Não inclua uma cláusula LIMIT; a People Data Labs a recusa. Use limit no lugar. Envie esta ou query, nunca as duas.

  • titlecaseboolean

    true

    Retorna o texto com iniciais maiúsculas em vez do padrão em minúsculas da People Data Labs.

Você envia. Um corpo JSON pequeno. Os valores mostrados são exemplos para você trocar pelos seus.

Resposta

JSON, um valor de exemplo 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.

Você recebe. Campos nomeados e tipados, no mesmo formato, seja qual for a fonte que responder.

Dúvidas frequentes

Sobre o endpoint Peopledatalabs da API para Company Search

O endpoint Peopledatalabs da AnyAPI para Company Search retorna dados de Company Search em JSON normalizado com uma chamada POST para /v1/run/company_search.peopledatalabs. Busque no conjunto de dados de empresas da People Data Labs com SQL ou uma consulta Elasticsearch e receba o registro firmográfico completo, incluindo histórico de captação e as séries de crescimento de funcionários, tempo de casa e rotatividade. Cobrado por empresa retornada. A AnyAPI retorna um schema normalizado, seja qual for a fonte que atende. Custa US$ 120 por mil resultados, e nunca mais de US$ 9,96 por requisição, em dólares, sem assinatura e sem mínimo mensal. Nos últimos 30 dias, 100,0% das chamadas ao endpoint Peopledatalabs da API para Company Search feitas pela AnyAPI tiveram sucesso, com tempo de resposta mediano de 1,6 segundos, em 17 chamadas medidas.

Custa US$ 120 por mil resultados, e nunca mais de US$ 9,96 por requisição, em dólares, sem assinatura e sem mínimo mensal. Você recarrega uma carteira em dólares e cada chamada desconta dela. Algumas requisições pagas pela carteira que falham geram cobranças de processamento, que repassamos pelo custo, sem margem; a resposta de erro mostra o valor cobrado.

Busque no conjunto de dados de empresas da People Data Labs com SQL ou uma consulta Elasticsearch e receba o registro firmográfico completo, incluindo histórico de captação e as séries de crescimento de funcionários, tempo de casa e rotatividade. Cobrado por empresa retornada. A resposta é JSON normalizado, com o mesmo envelope que todo endpoint da AnyAPI retorna, então processar um segundo endpoint é só trocar a URL, e nada mais.

Nos últimos 30 dias, 100,0% das chamadas ao endpoint Peopledatalabs da API para Company Search feitas pela AnyAPI tiveram sucesso, com tempo de resposta mediano de 1,6 segundos, em 17 chamadas medidas. Estas são medições da própria AnyAPI sobre o tráfego que passa pelo gateway, recalculadas continuamente, e não uma meta de nível de serviço publicada.

Sim. Uma conta nova da AnyAPI começa com US$ 0,10 de saldo grátis, sem cartão.

Envie uma requisição POST para https://api.getanyapi.com/v1/run/company_search.peopledatalabs com sua chave da AnyAPI em um cabeçalho "Authorization: Bearer" e a entrada como corpo JSON. A mesma chave e a mesma carteira funcionam em todos os endpoints da AnyAPI.

Não. Você adiciona dólares a um único saldo pré-pago da AnyAPI e cada requisição desconta dele. Não há plano mensal nem mínimo, e o mesmo saldo paga todos os endpoints da AnyAPI.

Sim. Instale @getanyapi/sdk pelo npm para TypeScript ou getanyapi pelo pip para Python. Os dois chamam todos os endpoints da AnyAPI com a mesma chave, e qualquer cliente HTTP também funciona.

Sim. Um agente pode se conectar ao servidor MCP da AnyAPI em https://api.getanyapi.com/mcp, ou criar a própria chave de teste grátis com um único POST sem autenticação para https://api.getanyapi.com/agent/signup e chamar este endpoint por HTTP.