Company Search API

Company Search Peopledatalabs API

用 SQL 或 Elasticsearch 查询搜索 People Data Labs 的公司数据集,返回完整的企业画像记录,包括融资历史以及员工人数增长、任职时长和流失序列。按返回的公司数扣费。

US$120.00/千条结果,按请求付费,无需订阅。

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
API 返回的内容companies[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,
还有 29 个字段
}
可用率
100.00%
30d · 1 次调用
请求数
1
30d
响应时间
4.5s
中位数 · 30d

调用方式

一个请求获取 Company Search Peopledatalabs

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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示例响应
{
  "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"
  }
}

完整的参数与响应参考:这个接口的每个字段、类型和示例。

参考

一个请求,一种响应结构。

你发送的每个字段和收到的每个字段,都附有真实示例。

最近验证于 2026-10-09 · 可用率和延迟按 30d 统计

请求体

JSON,POST 到这个接口。

  • dataIncludestring

    要包含的 People Data Labs 字段,用逗号分隔;以 - 开头则表示要排除的列表。字段投影只改变返回内容;扣费仍按返回的公司数计算。

  • limitinteger

    2

    最多返回的公司数。每家返回的公司都会扣费,所以先设为 1 检查查询,查看 total 后再请求更多。

  • querystring

    针对 People Data Labs 公司数据集的 Elasticsearch 风格查询,例如 {"bool": {"must": [{"term": {"website": "posthog.com"}}]}}。传它或 sql,不能同时传。

  • sqlstring

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

    People Data Labs SQL,格式为 SELECT * FROM company WHERE ... 。字符串字面量用单引号,只支持 SELECT *,字段名必须是真实的 People Data Labs 公司字段,包括 location.country 这样的嵌套子字段。不要包含 LIMIT 子句,People Data Labs 会拒绝它;请改用 limit。传它或 query,不能同时传。

  • titlecaseboolean

    true

    以首字母大写的形式返回文本,而不是 People Data Labs 默认的小写。

你发送。 一个简短的 JSON 请求体。显示的值只是示例,请换成你自己的。

响应

JSON,每个字段一个示例值。

  • foundboolean

    true

each companydata.companies[]
  • namestring

    Vercel Inc.

  • nameNormalizedstring

    vercel inc

  • pdlIdstring

    pdl-comp-vercel-9f21

  • websitestring

    vercel.com

  • 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.

  • headlinestring

    The Frontend Cloud.

  • sizestring

    251-500

  • employeeCountnumber

    412

  • foundednumber

    2015

  • typestring

    Private

  • industrystring

    Computer Software

  • industryV2string

    Software Development

  • inferredRevenuestring

    $50M-$100M

  • tickerstring

  • tags[]string

    Cloud Computing

  • alternativeNames[]string

    Vercel

  • alternativeDomains[]string

    vercel.app

  • linkedinUrlstring

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

  • linkedinIdstring

    18697848

  • linkedinSlugstring

    vercel

  • linkedinFollowersnumber

    68400

  • facebookUrlstring

    https://www.facebook.com/vercel

  • twitterUrlstring

    https://twitter.com/vercel

  • profiles[]string

    linkedin.com/company/vercel

  • totalFundingRaisednumber

    313000000

  • latestFundingStagestring

    series_e

  • lastFundingUtcnumber

    1685577600

  • fundingRoundsnumber

    6

  • fundingStages[]string

    seed

  • averageEmployeeTenurenumber

    2.1

  • medianEmployeeTenurenumber

    1.8

locationdata.companies[].location
  • namestring

    San Francisco, California, United States

  • localitystring

    San Francisco

  • metrostring

    San Francisco Bay Area

  • regionstring

    California

  • countrystring

    United States

  • continentstring

    North America

  • streetAddressstring

    340 S Lemon Ave

  • addressLine2string

    #4133

  • postalCodestring

    91789

  • geostring

    37.7749,-122.4194

each naicsCodedata.companies[].naicsCodes[]
  • codestring

    511210

  • sectorstring

    Information

  • subSectorstring

    Publishing Industries (except Internet)

  • industryGroupstring

    Software Publishers

  • naicsIndustrystring

    Software Publishers

  • nationalIndustrystring

    Software Publishers

each sicCodedata.companies[].sicCodes[]
  • codestring

    7372

  • majorGroupstring

    Services

  • industryGroupstring

    Prepackaged Software

  • industrySectorstring

    Computer Programming, Data Processing

employeeGrowthRatedata.companies[].employeeGrowthRate
  • 12_monthnumber

    0.14

employeeCountByCountrydata.companies[].employeeCountByCountry
  • united statesnumber

    320

  • united kingdomnumber

    40

  • canadanumber

    22

employeeCountByRoledata.companies[].employeeCountByRole
  • engineeringnumber

    210

  • salesnumber

    48

  • marketingnumber

    26

  • customer successnumber

    30

datadata
  • totalnumber

    3814

  • datasetVersionstring

    27.3

你收到。 字段有名称、有类型,无论哪个数据源响应,结构都一样。

常见问题

关于 Company Search Peopledatalabs API

AnyAPI 的 Company Search Peopledatalabs API 只需一次 POST 请求 /v1/run/company_search.peopledatalabs,就以统一格式的 JSON 返回 Company Search 数据。用 SQL 或 Elasticsearch 查询搜索 People Data Labs 的公司数据集,返回完整的企业画像记录,包括融资历史以及员工人数增长、任职时长和流失序列。按返回的公司数扣费。无论哪个数据源提供服务,AnyAPI 都返回同一套统一的 schema。费用:每千条结果 US$120,单次请求最多 US$9.96,以美元计价,无需订阅,也没有每月最低消费。过去 30 天,通过 AnyAPI 发起的 Company Search Peopledatalabs API 调用中有 100.0% 成功,响应时间中位数为 4.5 秒,共测量 1 次调用。

费用:每千条结果 US$120,单次请求最多 US$9.96,以美元计价,无需订阅,也没有每月最低消费。你只需为一个美元钱包充值,每次调用从中扣费。部分由钱包付费的失败请求会产生处理费用,我们按成本原价转嫁,不加价;错误响应会显示收取的金额。

用 SQL 或 Elasticsearch 查询搜索 People Data Labs 的公司数据集,返回完整的企业画像记录,包括融资历史以及员工人数增长、任职时长和流失序列。按返回的公司数扣费。响应是统一格式的 JSON,外层结构与每个 AnyAPI 接口相同,所以解析另一个接口只需换一个 URL,别的都不用改。

过去 30 天,通过 AnyAPI 发起的 Company Search Peopledatalabs API 调用中有 100.0% 成功,响应时间中位数为 4.5 秒,共测量 1 次调用。这些是 AnyAPI 对经过网关的流量的自有测量,持续重新计算,并非公开承诺的服务等级目标。

可以。新的 AnyAPI 账户自带 US$0.10 免费余额,无需绑卡。

向 https://api.getanyapi.com/v1/run/company_search.peopledatalabs 发送 POST 请求,在 “Authorization: Bearer” 请求头中放入你的 AnyAPI 密钥,并以 JSON 请求体传入参数。同一个密钥和同一个钱包适用于所有 AnyAPI 接口。

不需要。你向一个预付费的 AnyAPI 余额充值美元,每个请求从中扣费。没有月度套餐,也没有最低消费,同一个余额可用于所有 AnyAPI 接口。

有。TypeScript 用 npm 安装 @getanyapi/sdk,Python 用 pip 安装 getanyapi。两者都用同一个密钥调用所有 AnyAPI 接口,任何 HTTP 客户端也都可以。

可以。智能体可以连接 https://api.getanyapi.com/mcp 上的 AnyAPI MCP 服务器,或者向 https://api.getanyapi.com/agent/signup 发送一次无需认证的 POST 来创建自己的免费试用密钥,再通过 HTTP 调用这个接口。