People Search Fullenrich API
按职位、职级、职能、技能、语言和地点，以及任何现任或前任雇主的企业画像，在 FullEnrich 的人员数据库中挖掘潜在客户。每一行都带有此人的雇主记录。按返回的人数扣费。
US$25.20/千条结果，按请求付费，无需订阅。
Contact Search
5 contactsSave search{"fullName": "Rachel Kessler","personId": "fe_pe_204981","firstName": "Rachel","lastName": "Kessler","headline": "VP of Sales at Gusto","description": "Leading the mid-market and enterprise sales org. Previously ran sales at Justworks.","city": "Denver","region": "Colorado",... 还有 15 个字段}
价格
People Search Fullenrich API 价格
调用方式
一个请求获取 People Search Fullenrich
import os, requests res = requests.post( "https://api.getanyapi.com/v1/run/people_search.fullenrich", headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"}, json={ "currentCompanyDomains": [ { "exact_match": True, "value": "stripe.com" } ], "limit": 1, "offset": 0 }, ) print(res.json())
这个示例展示了 83 个字段中的 73 个。查看全部字段
{
"found": true,
"data": {
"people": [
{
"fullName": "Rachel Kessler",
"personId": "fe_pe_204981",
"firstName": "Rachel",
"lastName": "Kessler",
"headline": "VP of Sales at Gusto",
"description": "Leading the mid-market and enterprise sales org. Previously ran sales at Justworks.",
"city": "Denver",
"region": "Colorado",
"country": "United States",
"countryCode": "US",
"linkedinUrl": "https://www.linkedin.com/in/rachelkessler/",
"linkedinHandle": "rachelkessler",
"linkedinId": "884213207",
"linkedinConnections": 3450,
"jobTitle": "VP of Sales",
"seniority": "VP",
"jobStartUtc": 1640995200,
"isCurrent": true,
"skills": [
"Enterprise Sales",
"Sales Leadership",
"SaaS",
"Forecasting"
],
"languages": [
{
"language": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
}
],
"experience": [
{
"title": "VP of Sales",
"seniority": "VP",
"isCurrent": true,
"startUtc": 1640995200,
"companyId": "fe_co_5591",
"companyName": "Gusto",
"companyDomain": "gusto.com",
"companyWebsite": "https://gusto.com",
"companyFoundedYear": 2011,
"companyHeadcount": 2500,
"companyHeadcountRange": "1001-5000",
"companyType": "Privately Held",
"companyIndustry": "Human Resources Services",
"companyLinkedinUrl": "https://www.linkedin.com/company/gusto",
"companyCity": "San Francisco",
"companyRegion": "California",
"companyCountry": "United States"
},
{
"title": "Head of Sales",
"seniority": "Director",
"isCurrent": false,
"startUtc": 1483228800,
"companyName": "Justworks",
"companyDomain": "justworks.com"
}
],
"educations": [
{
"schoolName": "Indiana University Kelley School of Business",
"degree": "B.S. Business",
"startUtc": 1094000000,
"endUtc": 1188000000
}
],
"company": {
"name": "Gusto",
"companyId": "fe_co_5591",
"domain": "gusto.com",
"website": "https://gusto.com",
"description": "Payroll, benefits and HR platform for small and medium businesses.",
"foundedYear": 2011,
"headcount": 2500,
"headcountRange": "1001-5000",
"companyType": "Privately Held",
"industry": "Human Resources Services",
"specialties": [
"Payroll",
"Benefits",
"HR Software"
],
"linkedinUrl": "https://www.linkedin.com/company/gusto",
"linkedinHandle": "gusto",
"linkedinFollowers": 61000,
"headquarters": {
"line1": "525 20th St",
"line2": "San Francisco, CA 94107, United States",
"city": "San Francisco",
"region": "California",
"country": "United States",
"countryCode": "US"
}
}
},
{
"fullName": "Oliver Bancroft",
"personId": "fe_pe_118754",
"firstName": "Oliver",
"lastName": "Bancroft",
"headline": "VP of Sales, Mid-Market at Gusto",
"city": "Austin",
"region": "Texas",
"country": "United States",
"countryCode": "US",
"linkedinUrl": "https://www.linkedin.com/in/oliverbancroft/",
"jobTitle": "VP of Sales, Mid-Market",
"seniority": "VP",
"isCurrent": true,
"company": {
"name": "Gusto",
"companyId": "fe_co_5591",
"domain": "gusto.com"
}
},
{
"fullName": "Nina Farouk",
"personId": "fe_pe_339820",
"firstName": "Nina",
"lastName": "Farouk",
"headline": "VP of Sales, Partnerships at Gusto",
"city": "Chicago",
"region": "Illinois",
"country": "United States",
"countryCode": "US",
"linkedinUrl": "https://www.linkedin.com/in/ninafarouk/",
"jobTitle": "VP of Sales, Partnerships",
"seniority": "VP",
"isCurrent": true,
"company": {
"name": "Gusto",
"companyId": "fe_co_5591",
"domain": "gusto.com"
}
}
],
"total": 5,
"offset": 0,
"nextCursor": null
}
}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。
- currentCompanyDomainsarray
[{"value":"gusto.com","exact_match":true}]
按现任雇主域名筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyFoundedYearsarray
按现任雇主成立年份筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyHeadcountsarray
按现任雇主员工人数区间筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyHeadquartersarray
按现任雇主总部所在地筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyIdsarray
按现任雇主的 FullEnrich 公司 ID 筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyIndustriesarray
按现任雇主所属行业筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyLinkedinUrlsarray
按现任雇主的 LinkedIn URL 筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyNamesarray
按现任雇主名称筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanySpecialtiesarray
按现任雇主的某项专长筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentCompanyTypesarray
按现任雇主所有制类型筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentPositionJobFunctionsarray
按当前工作职能筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentPositionSeniorityLevelarray
按职级筛选，例如 Owner、Founder、C-level、VP、Director、Manager。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentPositionSubFunctionsarray
按当前工作子职能筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentPositionTitlesarray
[{"value":"VP of Sales","exact_match":false}]
按当前职位名称筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- currentPositionYearsInarray
按在当前职位上的年数筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- cursorstring
上一次响应中 nextCursor 的游标。任意深度都可用，包括超过 10000 的 offset 上限之后。
- limitinteger
3
本页返回的行数，最多为 FullEnrich 的上限 100。每一行返回结果都会扣费。
- offsetinteger
要跳过的行数。FullEnrich 的 offset 上限为 10000；超过后请用 cursor 翻页。
- pastCompanyDomainsarray
按前任雇主的域名筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- pastCompanyNamesarray
按此人以前任职过的雇主筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- pastPositionTitlesarray
按此人以前担任过的职位筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personIdsarray
按 FullEnrich 人员 ID 筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personLanguagesarray
按此人会说的某种语言筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personLinkedinUrlsarray
按此人的 LinkedIn URL 筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personLocationsarray
按此人所在的城市、地区或国家筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personNamesarray
按人员姓名筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
- personSkillsarray
按此人列出的某项技能筛选。每个条目是一个对象，包含一个 `value` 字符串和一个可选的 `exact_match` 布尔值，例如 [{"value": "stripe.com", "exact_match": true}]。纯字符串会被拒绝。
响应
JSON，每个字段一个示例值。
One page of matching records plus FullEnrich's paging state.
- nextCursorstring
null
Cursor for the next page, or null when this lane is complete. Send it back as cursor.
- offsetinteger
0
Rows skipped before this page.
- totalinteger
5
Rows matching the filters across all pages.
Matching people, each with their current employer's firmographic record. Email addresses and phone numbers are not included; FullEnrich reveals those through its enrichment endpoints.
- citystring
Denver
City the person is in.
- countrystring
United States
Country name.
- countryCodestring
US
ISO 3166-1 alpha-2 country code.
- descriptionstring
Leading the mid-market and enterprise sales org. Previously ran sales at Justworks.
Profile summary text.
- firstNamestring
Rachel
First name.
- fullNamestring
Rachel Kessler
Person's full name.
- headlinestring
VP of Sales at Gusto
LinkedIn headline.
- isCurrentboolean
true
True while FullEnrich treats the role as current.
- jobStartUtcnumber
1640995200
UTC epoch timestamp in seconds (Unix time) the current role started. Multiply by 1000 for a JS Date in milliseconds.
- jobTitlestring
VP of Sales
Current job title.
- lastNamestring
Kessler
Last name.
- linkedinConnectionsinteger
3450
LinkedIn connection count.
- linkedinHandlestring
rachelkessler
LinkedIn vanity handle.
- linkedinIdstring
884213207
LinkedIn numeric member id.
- linkedinUrlstring
https://www.linkedin.com/in/rachelkessler/
LinkedIn profile URL.
- personIdstring
fe_pe_204981
FullEnrich's own person identifier.
- regionstring
Colorado
State or region.
- senioritystring
VP
Seniority band for the current role, e.g. Manager, C-level.
- skillsstring[]
Skills the person lists.
The person's current employer, with FullEnrich's full firmographic record.
- companyIdstring
fe_co_5591
FullEnrich's own company identifier.
- companyTypestring
Privately Held
Ownership type, e.g. Public Company, Privately Held.
- descriptionstring
Payroll, benefits and HR platform for small and medium businesses.
Company description.
- domainstring
gusto.com
Primary company domain.
- foundedYearinteger
2011
Year the company was founded. Zero when FullEnrich holds none.
- headcountinteger
2500
Employees FullEnrich currently counts.
- headcountRangestring
1001-5000
Employee headcount band, e.g. 5001-10000.
- imagestring
Company logo URL.
- industrystring
Human Resources Services
Main industry.
- linkedinFollowersinteger
61000
LinkedIn follower count.
- linkedinHandlestring
gusto
Company LinkedIn vanity handle.
- linkedinIdstring
Company LinkedIn numeric id.
- linkedinUrlstring
https://www.linkedin.com/company/gusto
Company LinkedIn page URL.
- namestring
Gusto
Company name.
- specialtiesstring[]
Specialties the company lists for itself.
- websitestring
https://gusto.com
Company website URL.
Headquarters address.
- citystring
San Francisco
City.
- countrystring
United States
Country name.
- countryCodestring
US
ISO 3166-1 alpha-2 country code.
- line1string
525 20th St
First address line.
- line2string
San Francisco, CA 94107, United States
Second address line, carrying city, region, postal code and country.
- regionstring
California
State or region.
Every other office FullEnrich holds for the company.
- line1string
First address line.
- line2string
Second address line, carrying city, region, postal code and country.
Education history.
- degreestring
B.S. Business
Degree earned.
- endUtcnumber
1188000000
UTC epoch timestamp in seconds (Unix time) study ended. Multiply by 1000 for a JS Date in milliseconds.
- schoolNamestring
Indiana University Kelley School of Business
School name.
- startUtcnumber
1094000000
UTC epoch timestamp in seconds (Unix time) study started. Multiply by 1000 for a JS Date in milliseconds.
Known employment history.
- companyCitystring
San Francisco
Employer headquarters city.
- companyCountrystring
United States
Employer headquarters country.
- companyDescriptionstring
Employer description.
- companyDomainstring
gusto.com
Employer primary domain.
- companyFoundedYearinteger
2011
Year the employer was founded.
- companyHeadcountinteger
2500
Employer headcount.
- companyHeadcountRangestring
1001-5000
Employer headcount range, e.g. 5001-10000.
- companyIdstring
fe_co_5591
FullEnrich identifier for the employer.
- companyImagestring
Employer logo URL.
- companyIndustrystring
Human Resources Services
Employer primary industry.
- companyLinkedinIdstring
Employer LinkedIn numeric id.
- companyLinkedinUrlstring
https://www.linkedin.com/company/gusto
Employer LinkedIn page URL.
- companyNamestring
Gusto
Employer name.
- companyRegionstring
California
Employer headquarters region or state.
- companyStreetstring
Employer headquarters street address.
- companyTypestring
Privately Held
Employer company type, e.g. Privately Held.
- companyWebsitestring
https://gusto.com
Employer website URL.
- isCurrentboolean
true
Whether this is a current role.
- senioritystring
VP
Seniority band for the role.
- startUtcnumber
1640995200
UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
- titlestring
VP of Sales
Role title.
Languages the person speaks.
- languagestring
English
Language name.
- proficiencystring
NATIVE_OR_BILINGUAL
Proficiency band, e.g. FULL_PROFESSIONAL.
- foundboolean
true
False when nothing matched the filters.
- 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 People Search Fullenrich API
AnyAPI 的 People Search Fullenrich API 只需一次 POST 请求 /v1/run/people_search.fullenrich，就以统一格式的 JSON 返回 People Search 数据。按职位、职级、职能、技能、语言和地点，以及任何现任或前任雇主的企业画像，在 FullEnrich 的人员数据库中挖掘潜在客户。每一行都带有此人的雇主记录。按返回的人数扣费。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$25.20，单次请求最多 US$2.52，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 People Search Fullenrich API 调用中有 100.0% 成功，响应时间中位数为 1.8 秒，共测量 17 次调用。