Person Enrichment Crustdata v3 API

通过 LinkedIn 主页 URL 或企业邮箱补全一位人员的数据：主页、头衔、地点、技能、当前和过往职位及雇主域名、教育经历、社交账号用户名和 GitHub 主页。联系方式由 Contact Enrichment - Crustdata v3 单独销售。

POST/v1/run/person_enrichment.crustdata_v3

请求数

30d

价格

一个价格，以美元计

服务商

Crustdata已服务 -可用率 -- p50---US$96.00/千次请求固定价

调用方式

发出你的第一个请求

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/person_enrichment.crustdata_v3",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={},
)
print(res.json())

打开于提示词已复制

获取免费密钥

示例响应

{
  "data": {
    "connections": 42,
    "currentPositions": [
      {
        "companyDomain": "example.com",
        "companyId": "Acme Inc",
        "companyLinkedinUrl": "https://example.com/page",
        "companyName": "Acme Inc",
        "description": "A short example description of this item.",
        "employmentType": "general",
        "endedUtc": 12.5,
        "functionCategory": "general",
        "location": "example",
        "seniority": "example",
        "startedUtc": 12.5,
        "title": "Example title"
      }
    ],
    "education": [
      {
        "degree": "example",
        "description": "A short example description of this item.",
        "endYear": 2024,
        "fieldOfStudy": "example",
        "school": "example",
        "startYear": 2024
      }
    ],
    "firstName": "Alex",
    "followers": 12500,
    "githubProfiles": [
      {
        "bio": "A short example description of this item.",
        "company": "Acme Inc",
        "confidenceScore": 4.6,
        "followers": 12500,
        "following": 12500,
        "location": "example",
        "name": "Example title",
        "profileUrl": "https://example.com/page",
        "publicRepoCount": 12500
      }
    ],
    "githubUrl": "https://example.com/page",
    "headline": "Example title",
    "image": "https://example.com/image.jpg",
    "jobTitle": "Example title",
    "languages": [
      "en"
    ],
    "lastName": "Rivera",
    "linkedinUrl": "https://example.com/page",
    "location": {
      "city": "San Francisco",
      "continent": "example",
      "country": "US",
      "label": "Example title",
      "state": "CA"
    },
    "matchConfidence": 1024,
    "name": "Example title",
    "pastPositions": [
      {
        "companyDomain": "example.com",
        "companyId": "Acme Inc",
        "companyLinkedinUrl": "https://example.com/page",
        "companyName": "Acme Inc",
        "description": "A short example description of this item.",
        "employmentType": "general",
        "endedUtc": 12.5,
        "functionCategory": "general",
        "location": "example",
        "seniority": "example",
        "startedUtc": 12.5,
        "title": "Example title"
      }
    ],
    "personId": "a1b2c3d4",
    "skills": [
      "example"
    ],
    "summary": "A short example description of this item.",
    "twitterHandle": "alex_rivera",
    "yearsOfExperience": 2024
  },
  "found": true,
  "reason": "not_found"
}

响应类型定义

interface PersonEnrichmentCrustdataV3Response {
  data: {
    connections?: number;
    currentPositions?: {
      companyDomain?: string;
      companyId?: string;
      companyLinkedinUrl?: string;
      companyName?: string;
      description?: string;
      employmentType?: string;
      endedUtc?: number;
      functionCategory?: string;
      location?: string;
      seniority?: string;
      startedUtc?: number;
      title?: string;
    }[];
    education?: {
      degree?: string;
      description?: string;
      endYear?: number;
      fieldOfStudy?: string;
      school?: string;
      startYear?: number;
    }[];
    firstName?: string;
    followers?: number;
    githubProfiles?: {
      bio?: string;
      company?: string;
      confidenceScore?: number;
      followers?: number;
      following?: number;
      location?: string;
      name?: string;
      profileUrl?: string;
      publicRepoCount?: number;
    }[];
    githubUrl?: string;
    headline?: string;
    image?: string;
    jobTitle?: string;
    languages?: string[];
    lastName?: string;
    linkedinUrl?: string;
    location?: {
      city?: string;
      continent?: string;
      country?: string;
      label?: string;
      state?: string;
    };
    matchConfidence?: number;
    name?: string;
    pastPositions?: {
      companyDomain?: string;
      companyId?: string;
      companyLinkedinUrl?: string;
      companyName?: string;
      description?: string;
      employmentType?: string;
      endedUtc?: number;
      functionCategory?: string;
      location?: string;
      seniority?: string;
      startedUtc?: number;
      title?: string;
    }[];
    personId: string;
    skills?: string[];
    summary?: string;
    twitterHandle?: string;
    yearsOfExperience?: number;
  } | null;
  found: boolean;
  reason?: "not_found";
}

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

请求、响应与价格

最近验证于 2026-09-29 · 可用率和延迟按 30d 统计

POST /v1/run/person_enrichment.crustdata_v3

curl -X POST https://api.getanyapi.com/v1/run/person_enrichment.crustdata_v3 \
  -H "Authorization: Bearer $ANYAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"linkedinUrl":"https://www.linkedin.com/in/satyanadella"}'

字段	类型	示例值
请求体
email	string	此人的工作邮箱地址。
linkedinUrl	string	"https://www.linkedin.com/in/satyanadella"LinkedIn 主页 URL，例如 https://www.linkedin.com/in/satyanadella。linkedinUrl 和 email 只能传其中一个。
minSimilarityScore	number	按邮箱查找时可接受的最低匹配相似度，取值 0 到 1。不设置则使用 Crustdata 的默认值。
响应
data	object	The enriched person, or null when nothing matched.
data.connections	integer	LinkedIn connection count.
data.currentPositions	object[]	Roles the person holds now.
data.currentPositions[].companyDomain	string	Employer website domain.
data.currentPositions[].companyId	string	Employer Crustdata company id, usable as companyId in Company Identify - Crustdata v3.
data.currentPositions[].companyLinkedinUrl	string	Employer LinkedIn company page URL.
data.currentPositions[].companyName	string	Employer name.
data.currentPositions[].description	string	Role description.
data.currentPositions[].employmentType	string	Employment type, e.g. Full-time.
data.currentPositions[].endedUtc	number	When the role ended. UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.currentPositions[].functionCategory	string	Job function.
data.currentPositions[].location	string	Where the role is based.
data.currentPositions[].seniority	string	Seniority level, e.g. CXO.
data.currentPositions[].startedUtc	number	When the role started. UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.currentPositions[].title	string	Job title.
data.education	object[]	Schools attended.
data.education[].degree	string	Degree.
data.education[].description	string	Notes on the course of study.
data.education[].endYear	integer	Year finished.
data.education[].fieldOfStudy	string	Field of study.
data.education[].school	string	School name.
data.education[].startYear	integer	Year started.
data.firstName	string	First name.
data.followers	integer	LinkedIn follower count.
data.githubProfiles	object[]	GitHub accounts matched to the person, each with its own match confidence.
data.githubProfiles[].bio	string	Profile bio.
data.githubProfiles[].company	string	Company as written on the profile.
data.githubProfiles[].confidenceScore	number	Confidence from 0 to 1 that this account belongs to the person.
data.githubProfiles[].followers	integer	Follower count.
data.githubProfiles[].following	integer	Accounts followed.
data.githubProfiles[].location	string	Location as written on the profile.
data.githubProfiles[].name	string	Display name.
data.githubProfiles[].profileUrl	string	GitHub profile URL.
data.githubProfiles[].publicRepoCount	integer	Public repository count.
data.githubUrl	string	GitHub profile URL linked from the profile.
data.headline	string	LinkedIn headline.
data.image	string	Profile photo URL.
data.jobTitle	string	Current job title.
data.languages	string[]	Languages the person lists.
data.lastName	string	Last name.
data.linkedinUrl	string	LinkedIn profile URL.
data.location	object	Where the person is based.
data.location.city	string	City.
data.location.continent	string	Continent.
data.location.country	string	Country.
data.location.label	string	Location as written on the profile.
data.location.state	string	State or region.
data.matchConfidence	number	Confidence from 0 to 1 that the returned person is the one asked for.
data.name	string	Full name.
data.pastPositions	object[]	Roles the person held before.
data.pastPositions[].companyDomain	string	Employer website domain.
data.pastPositions[].companyId	string	Employer Crustdata company id, usable as companyId in Company Identify - Crustdata v3.
data.pastPositions[].companyLinkedinUrl	string	Employer LinkedIn company page URL.
data.pastPositions[].companyName	string	Employer name.
data.pastPositions[].description	string	Role description.
data.pastPositions[].employmentType	string	Employment type, e.g. Full-time.
data.pastPositions[].endedUtc	number	When the role ended. UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.pastPositions[].functionCategory	string	Job function.
data.pastPositions[].location	string	Where the role is based.
data.pastPositions[].seniority	string	Seniority level, e.g. CXO.
data.pastPositions[].startedUtc	number	When the role started. UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.pastPositions[].title	string	Job title.
data.personId	string	Crustdata person id.
data.skills	string[]	Skills the person lists on LinkedIn.
data.summary	string	Profile summary.
data.twitterHandle	string	X (Twitter) handle.
data.yearsOfExperience	integer	Total years of work experience.
found	boolean	False when no person matched the LinkedIn URL or email.
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.
价格
每次请求价格	USD	US$0.096
价格（/千次请求）	USD	US$96.00

常见问题

关于 Person Enrichment Crustdata v3 API

AnyAPI 的 Person Enrichment Crustdata v3 API 只需一次 POST 请求 /v1/run/person_enrichment.crustdata_v3，就以统一格式的 JSON 返回 Person Enrichment 数据。通过 LinkedIn 主页 URL 或企业邮箱补全一位人员的数据：主页、头衔、地点、技能、当前和过往职位及雇主域名、教育经历、社交账号用户名和 GitHub 主页。联系方式由 Contact Enrichment - Crustdata v3 单独销售。无论哪个数据源提供服务，AnyAPI 都返回同一套统一的 schema。费用：每千次请求 US$96 起，以美元计价，无需订阅，也没有每月最低消费。

费用：每千次请求 US$96 起，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。

通过 LinkedIn 主页 URL 或企业邮箱补全一位人员的数据：主页、头衔、地点、技能、当前和过往职位及雇主域名、教育经历、社交账号用户名和 GitHub 主页。联系方式由 Contact Enrichment - Crustdata v3 单独销售。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。

更多接口

Person Enrichment 的其他接口

Bettercontact/千次请求 US$82.80 起 Fullenrich 批量/千条结果 US$100.80 起 Fullenrich 邮箱反查/千条结果 US$100.80 起 Lusha/千次请求 US$84.00 起 Peopledatalabs/千次请求 US$240.00 起 Prospeo/千次请求 US$66.00 起 Quickenrich/千次请求 US$7.20 起

一个密钥，一个钱包，
开始你的第一次 Person Enrichment 调用。

领取 ~150 次免费请求