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。
About 4,600 results
Vercel Inc.
Computer Software · San Francisco, California, United States
412 employees on LinkedIn · 68,400 followers
{"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 50 个字段}
价格
Company Search Peopledatalabs API 价格
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={ "limit": 1, "sql": "SELECT * FROM company WHERE website = 'posthog.com'" }, ) print(res.json())
这个示例展示了 84 个字段中的 62 个。查看全部字段
{
"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 2026-11-14 · 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。
- queryobject
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。
响应
JSON，每个字段一个示例值。
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.
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.
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.
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.
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.
- 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.
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 1.6 秒，共测量 17 次调用。