openData StudioEnglish
Naukri: Job Search App 图标

Naukri 职位搜索数据 API

infoedge.com · 招聘求职

在 Google Play 中打开

Naukri: Job Search App 是 Naukri.com 的安卓应用。Naukri.com 是 Info Edge (India) Ltd. 自 1997 年起运营的招聘网站，该公司旗下还有 AmbitionBox、99acres 和 Jeevansathi。求职者可用邮箱密码或 OTP 登录，按关键词和城市搜索职位、用筛选条件缩小结果，并在职位详情页查看薪资区间、经验要求、远程办公类型、现场面试（walk-in）安排以及 AmbitionBox 雇主评分与评价。随后他们可以一键投递，或在支持电话投递的岗位上直接致电招聘方，填写投递后问卷，收藏岗位、关注公司，并在“投递记录”页跟踪每份申请及招聘方的处理状态；个性化的“为你推荐”信息流则围绕近期搜索和投递把推荐职位分组呈现。My Naukri 板块保存招聘方通过 Naukri Resdex 简历库检索的个人资料（简历标题、核心技能、工作与教育经历、IT 技能、项目、证书、离职通知期、当前与期望年薪 CTC），支持上传简历，并由简历解析器自动预填注册与资料表单；“资料表现”页面则展示资料在招聘方搜索中出现的次数、带来曝光的关键词以及招聘方采取的操作。它面向印度白领与应届生求职市场，与 LinkedIn、Indeed、foundit 和 apna 争夺从实习生、应届生到资深专业人士的求职者。

Naukri 职位卡片带有 jobId、title、companyName、tagsAndSkills、experienceText、wfhType 与 vacancy，以 minimumSalary/maximumSalary 给出的 salaryDetail 薪资区间（或 hideSalary 隐藏标志），以及雇主的 AmbitionBox aggregateRating 与 reviewsCount；职位详情再补充 jobDescription、walkInDetail 与 companyApplyUrl，搜索页返回 noOfJobs 和筛选用的 clusters，雇主集团则对应 groupName、hasLiveJob、rating 与 reviewsCount。

候选人一侧，登录后的个人资料包含 resumeHeadline、keySkills、rawTotalExperience、noticePeriod、以 absoluteCtc 与 absoluteExpectedCtc 表示的薪酬、profileCompletion、resdexVisibility 开关，以及嵌套的 employments、educations、itskills 与 certifications。上传的简历通过 cvInfo（fileName、cvFormat）跟踪，并被解析成含 company、designation、startDate、institute 与 yearOfCompletion 的 workExperience 条目，技能则从 extracted 归一到 globalName。投递记录保存 lastStatus、arsScore、applyType、applyViaCallEnabled 与 jobActDate，资料表现分析则给出 totalSearchAppearances、recruiterActions、searchKeyWords 与 searchAppearanceTimeline。

劳动力市场管道可以轮询职位列表与详情，建立实时的印度职位目录，追踪技能需求、薪资区间、远程办公占比与雇主评分。HRIS 工具可以把候选人的简历标题、核心技能、当前与期望 CTC、资料完整度和简历文件挂到已有的申请人记录上，ATS 机器人可以把投递状态与 ARS 分数映射进面试阶段看板，入职流程则可以用解析后的简历直接填充公司、职位、院校与技能，而不是从空白表单开始。openData Studio 让这套 Naukri 职位、资料与投递数据成为可调用的开放数据。

应用截图

  • Naukri: Job Search App 应用截图 1
  • Naukri: Job Search App 应用截图 2
  • Naukri: Job Search App 应用截图 3
  • Naukri: Job Search App 应用截图 4
  • Naukri: Job Search App 应用截图 5
  • Naukri: Job Search App 应用截图 6
  • Naukri: Job Search App 应用截图 7
  • Naukri: Job Search App 应用截图 8

API 端点一览

以下端点与请求/响应示例均依据应用界面推导重构，为示意说明，并非实际抓包。

  • 登录

    POST /v1/auth/session osint

    用用户名/密码（或 encryptedToken）认证 Naukri 求职者，返回 nauk_at Cookie 及 userInfo.userData（email、resId、username），作为后续每次调用的会话。

    认证方式： 无需认证。响应 Cookie 含 nauk_at；后续调用发送 Cookie: nauk_at=<value> 与 Authorization: ACCESSTOKEN = <value>。atTTL 为访问令牌有效期。

    • username
    • isLoginByEmail
    • password
    • encryptedToken
    • requestSource
    • name
    • cookies
    • domain
    • expiry
    • httpOnly
    • secure
    • value
    • userInfo
    • deviceType
    • ipAddress
    • userAgent
    • userId
    • userRole
    • userType
    • newRegistration
    • encryptedResId
    • userData
    • email
    • isEmail
    • isPaidClient
    • isTechOpsLogin
    • resId
    • action
    • et
    • errorCode
    • validationErrors
    • atTTL
    POST /v1/auth/session HTTP/1.1
Content-Type: application/json
Accept-Charset: UTF-8
Accept-Encoding: gzip

{
  "username": "[email protected]",
  "isLoginByEmail": true,
  "password": "<password>",
  "encryptedToken": "",
  "requestSource": "android",
  "name": ""
}
    {
  "cookies": [{
    "name": "nauk_at",
    "value": "<access-token>",
    "domain": ".naukri.com",
    "expiry": 1774550400,
    "httpOnly": true,
    "secure": true
  }],
  "userInfo": {
    "deviceType": "android",
    "ipAddress": "49.36.0.1",
    "userAgent": "Naukri/21.115",
    "userId": 8845123,
    "userRole": "jobseeker",
    "userType": "js",
    "newRegistration": false,
    "encryptedResId": "enc-res-441",
    "userData": {
      "email": "[email protected]",
      "isEmail": true,
      "isPaidClient": false,
      "isTechOpsLogin": false,
      "resId": 44189012,
      "username": "[email protected]"
    }
  },
  "userStateInfo": {},
  "data": {},
  "validationErrors": [],
  "errorCode": null,
  "action": "LOGIN_SUCCESS",
  "et": "ok",
  "atTTL": 86400
}

  • 搜索职位

    GET /v1/jobs/search opendata

    返回 Naukri 搜索结果页：noOfJobs、sid，以及 jobDetails 职位卡片列表（jobId、title、companyName、tagsAndSkills、salaryDetail、wfhType、isSaved/isApplied），供职位列表使用。

    认证方式： 可选。匿名列表无需会话即可提供。登录调用发送 Cookie: nauk_at 与 Authorization: ACCESSTOKEN = <token>，使 isApplied/isSaved 个性化。

    • noOfJobs
    • sid
    • isLoggedIn
    • internshipSRP
    • variantName
    • jobDetails
    • jobId
    • title
    • shortTitle
    • companyName
    • shortCompanyName
    • companyId
    • jobType
    • currency
    • tagsAndSkills
    • jobDescription
    • jdURL
    • staticUrl
    • logoPath
    • logoPathV3
    • isSaved
    • isApplied
    • showMultipleApply
    • exclusive
    • vacancy
    • wfhType
    • createdDate
    • experienceText
    • salaryDetail
    • minimumSalary
    • maximumSalary
    • hideSalary
    • ambitionBoxData
    • aggregateRating
    • reviewsCount
    • placeholders
    • footerPlaceholderLabel
    • footerPlaceholderColor
    • applyViaCallEnabled
    • jobApplyType
    • clusters
    • clusterOrder
    • bellyFilters
    • fatFooter
    • seo
    • suggesterModel
    • segmentedExperienceInfo
    • clusterAttributes
    • keyword
    • location
    GET /v1/jobs/search?keyword=software+engineer&location=Bengaluru HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "noOfJobs": 1284,
  "sid": "srp-ndr01d-8845",
  "isLoggedIn": true,
  "internshipSRP": false,
  "variantName": "adv_2",
  "jobDetails": [{
    "jobId": "071225000123",
    "title": "Software Engineer",
    "shortTitle": "Software Engineer",
    "companyName": "Example Corp",
    "shortCompanyName": "Example Corp",
    "companyId": 441890,
    "jobType": "fulltime",
    "currency": "INR",
    "tagsAndSkills": "Java, Spring, SQL",
    "jobDescription": "Build marketplace services in Bengaluru.",
    "jdURL": "https://www.naukri.com/job-listings-software-engineer-example-corp-bengaluru-071225000123",
    "staticUrl": "https://www.naukri.com/job-listings-071225000123",
    "logoPath": "https://img.naukimg.com/logo/441.png",
    "logoPathV3": "https://img.naukimg.com/logo/v3/441.png",
    "isSaved": false,
    "isApplied": false,
    "showMultipleApply": false,
    "exclusive": false,
    "vacancy": 4,
    "wfhType": 0,
    "createdDate": 1758902400000,
    "experienceText": "3-6 Yrs",
    "salaryDetail": {
      "minimumSalary": 800000,
      "maximumSalary": 1200000,
      "currency": "INR",
      "hideSalary": false
    },
    "ambitionBoxData": {
      "aggregateRating": "4.2",
      "reviewsCount": 1860,
      "title": "Example Corp Reviews",
      "url": "https://www.ambitionbox.com/reviews/example-corp"
    },
    "placeholders": [{"type": "experience", "label": "3-6 Yrs"}, {"type": "salary", "label": "8-12 Lacs"}, {"type": "location", "label": "Bengaluru"}],
    "footerPlaceholderLabel": "Posted 2 days ago",
    "footerPlaceholderColor": "#666666",
    "applyViaCallEnabled": false,
    "jobApplyType": "apply"
  }],
  "clusters": {},
  "clusterOrder": ["experience", "salary", "location"],
  "bellyFilters": {},
  "fatFooter": [],
  "seo": {},
  "suggesterModel": {},
  "segmentedExperienceInfo": {},
  "clusterAttributes": {}
}

  • 获取职位详情

    GET /v1/jobs/{jobId} opendata

    为职位详情页水合单个 Naukri 职位（jobDescription、tagsAndSkills、salaryDetail、vacancy、wfhType、ambitionBoxData），含投递/收藏标记。

    认证方式： 可选。匿名职位详情无需会话即可提供。登录调用发送 Cookie: nauk_at 与 Authorization: ACCESSTOKEN = <token>，使 isApplied/isSaved 个性化。

    • jobId
    • title
    • companyName
    • companyId
    • jobType
    • currency
    • tagsAndSkills
    • jobDescription
    • jdURL
    • staticUrl
    • logoPath
    • isSaved
    • isApplied
    • vacancy
    • wfhType
    • experienceText
    • createdDate
    • salaryDetail
    • minimumSalary
    • maximumSalary
    • hideSalary
    • ambitionBoxData
    • aggregateRating
    • reviewsCount
    • walkInDetail
    • applyViaCallEnabled
    • companyApplyUrl
    • companyUrl
    • jobApplyType
    GET /v1/jobs/071225000123 HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "jobId": "071225000123",
  "title": "Software Engineer",
  "companyName": "Example Corp",
  "companyId": 441890,
  "jobType": "fulltime",
  "currency": "INR",
  "tagsAndSkills": "Java, Spring, SQL",
  "jobDescription": "<p>Build marketplace services in Bengaluru.</p>",
  "jdURL": "https://www.naukri.com/job-listings-software-engineer-example-corp-bengaluru-071225000123",
  "staticUrl": "https://www.naukri.com/job-listings-071225000123",
  "logoPath": "https://img.naukimg.com/logo/441.png",
  "isSaved": false,
  "isApplied": false,
  "vacancy": 4,
  "wfhType": 0,
  "experienceText": "3-6 Yrs",
  "createdDate": 1758902400000,
  "salaryDetail": {
    "minimumSalary": 800000,
    "maximumSalary": 1200000,
    "currency": "INR",
    "hideSalary": false
  },
  "ambitionBoxData": {
    "aggregateRating": "4.2",
    "reviewsCount": 1860,
    "title": "Example Corp Reviews",
    "url": "https://www.ambitionbox.com/reviews/example-corp"
  },
  "walkInDetail": null,
  "applyViaCallEnabled": false,
  "companyApplyUrl": "",
  "companyUrl": "https://www.naukri.com/example-corp-jobs-careers-441890",
  "jobApplyType": "apply"
}

  • 投递职位

    POST /v1/applications opendata

    为 jobId 提交 Naukri 投递，返回投递后问卷页所用的 applyType/lastStatus。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。

    • jobId
    • isApplied
    • applyType
    • jobTitle
    • company
    • companyId
    • location
    • isOpen
    • rpId
    • lastStatus
    • arsScore
    • videoProfilePreferred
    • applyViaCallEnabled
    POST /v1/applications HTTP/1.1
Content-Type: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>

{
  "jobId": "071225000123"
}
    {
  "jobId": "071225000123",
  "isApplied": true,
  "applyType": "apply",
  "jobTitle": "Software Engineer",
  "company": "Example Corp",
  "companyId": "441890",
  "location": "Bengaluru",
  "isOpen": true,
  "rpId": "rp-771",
  "lastStatus": "applied",
  "arsScore": 78,
  "videoProfilePreferred": false,
  "applyViaCallEnabled": false
}

  • 投递历史

    GET /v1/applications/history opendata

    列出登录求职者的投递历史（jobTitle、company、location、lastStatus、arsScore、applyViaCall），供“申请”页签使用。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。

    • jobId
    • applyType
    • jobTitle
    • company
    • consultancyName
    • location
    • isOpen
    • jobAct
    • dateTime
    • jobActDate
    • rpId
    • logoName
    • companyId
    • arsScore
    • starRating
    • reviewsCount
    • reviewsLink
    • feedbackStored
    • videoProfilePreferred
    • crawled
    • callStatus
    • applyViaCall
    • applyViaCallEnabled
    • lastStatus
    • isAppliedViaAgent
    • priority
    GET /v1/applications/history HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "jobs": [{
    "jobId": "071225000123",
    "applyType": "apply",
    "jobTitle": "Software Engineer",
    "company": "Example Corp",
    "consultancyName": "",
    "location": "Bengaluru",
    "isOpen": true,
    "jobAct": 1,
    "dateTime": 1758988800000,
    "jobActDate": "2026-09-27",
    "rpId": "rp-771",
    "logoName": "https://img.naukimg.com/logo/441.png",
    "companyId": "441890",
    "arsScore": 78,
    "starRating": "4.2",
    "reviewsCount": 1860,
    "reviewsLink": "https://www.ambitionbox.com/reviews/example-corp",
    "feedbackStored": false,
    "videoProfilePreferred": false,
    "crawled": false,
    "callStatus": "",
    "applyViaCall": false,
    "applyViaCallEnabled": false,
    "lastStatus": "applied",
    "isAppliedViaAgent": false,
    "priority": 1
  }]
}

  • 已收藏职位

    GET /v1/me/saved-jobs opendata

    返回登录求职者的已收藏职位列表（jobDetails / noOfJobs）。配套 POST：收藏 /v1/jobs/{jobId}/save，取消收藏 /v1/jobs/{jobId}/unsave。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。

    • noOfJobs
    • jobDetails
    • jobId
    • title
    • companyName
    • companyId
    • isSaved
    • isApplied
    • tagsAndSkills
    • jdURL
    • salaryDetail
    • minimumSalary
    • maximumSalary
    • currency
    • hideSalary
    • wfhType
    • experienceText
    GET /v1/me/saved-jobs HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "noOfJobs": 3,
  "jobDetails": [{
    "jobId": "071225000123",
    "title": "Software Engineer",
    "companyName": "Example Corp",
    "companyId": 441890,
    "isSaved": true,
    "isApplied": false,
    "tagsAndSkills": "Java, Spring, SQL",
    "jdURL": "https://www.naukri.com/job-listings-071225000123",
    "salaryDetail": {
      "minimumSalary": 800000,
      "maximumSalary": 1200000,
      "currency": "INR",
      "hideSalary": false
    },
    "wfhType": 0,
    "experienceText": "3-6 Yrs"
  }]
}

  • 推荐职位

    POST /v1/jobs/recommendations opendata

    返回个性化推荐职位簇（noOfJobs、sid、recommendedClusters、rawJobDetails），供首页“为你推荐”流使用。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。

    • clusterId
    • src
    • source
    • requestSrc
    • landingSource
    • isPreferenceUpdated
    • jobAgentRequest
    • shouldSendMultipleClusters
    • segmentedExperience
    • lastVisitedJobIds
    • appliedJobId
    • searches
    • keywords
    • noOfJobs
    • sid
    • listingTitle
    • showAgentPickedTag
    • recommendedClusters
    • rawJobDetails
    • segmentedExperienceInfo
    • jobId
    • title
    • companyName
    • isSaved
    • isApplied
    POST /v1/jobs/recommendations HTTP/1.1
Content-Type: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>

{
  "clusterId": "home_reco",
  "src": "home",
  "source": "android",
  "requestSrc": "home",
  "landingSource": "home",
  "isPreferenceUpdated": false,
  "jobAgentRequest": false,
  "shouldSendMultipleClusters": true,
  "segmentedExperience": "3-6",
  "lastVisitedJobIds": ["071225000123"],
  "appliedJobId": "",
  "searches": [{
    "keywords": ["software engineer"],
    "location": "Bengaluru"
  }]
}
    {
  "noOfJobs": 24,
  "sid": "reco-ndr01d-8845",
  "listingTitle": "Jobs for you",
  "showAgentPickedTag": false,
  "recommendedClusters": [{
    "clusterId": "home_reco",
    "clusterName": "Based on your profile"
  }],
  "rawJobDetails": [{
    "jobId": "071225000456",
    "title": "Backend Engineer",
    "companyName": "Example Labs",
    "isSaved": false,
    "isApplied": false
  }],
  "segmentedExperienceInfo": {}
}

  • 候选人资料

    GET /v1/me/profile osint

    返回登录求职者的聚合 Naukri 资料（profile + user + itskills/educations/employments，含 email、mobile、absoluteCtc、resumeHeadline、cvInfo），供 My Naukri 使用。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。查询 expand_level=4&pc=1 展开嵌套区块。

    • profile
    • profileId
    • name
    • keySkills
    • resumeHeadline
    • birthDate
    • gender
    • contactAddress
    • mailCity
    • pincode
    • city
    • locality
    • country
    • rawTotalExperience
    • summary
    • absoluteCtc
    • absoluteExpectedCtc
    • expectedCtcCurrency
    • currency
    • profileCompletion
    • cemProfileCompletion
    • isActiveProfile
    • cvInfo
    • cvFormat
    • fileName
    • isAvailable
    • isTextResume
    • source
    • moderationStatus
    • user
    • username
    • email
    • mobile
    • resdexVisibility
    • canChooseProfileDuringApply
    • isEmailVerified
    • isMobileVerified
    • isPremium
    • lastThirtyDaysApplicationCount
    • itskills
    • educations
    • employments
    • certifications
    • projects
    • languages
    • noticePeriod
    • onlineProfile
    • extendedProfile
    • expand_level
    • pc
    GET /v1/me/profile?expand_level=4&pc=1 HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "profile": {
    "profileId": "prof-441",
    "name": "Priya Sharma",
    "keySkills": "Java, Spring, SQL",
    "resumeHeadline": "Backend engineer, 5 years",
    "birthDate": "1996-04-12",
    "gender": "F",
    "contactAddress": "Koramangala",
    "mailCity": "Bengaluru",
    "pincode": "560034",
    "city": {"id": 17, "value": "Bengaluru"},
    "locality": {"id": 88, "value": "Koramangala"},
    "country": {"id": 1, "value": "India"},
    "rawTotalExperience": "5 years",
    "summary": "Built payments APIs.",
    "absoluteCtc": "1800000",
    "absoluteExpectedCtc": "2400000",
    "expectedCtcCurrency": "INR",
    "currency": "INR",
    "profileCompletion": 82,
    "cemProfileCompletion": 80,
    "isActiveProfile": true,
    "cvInfo": {
      "cvFormat": "pdf",
      "fileName": "Priya_Sharma_Resume.pdf",
      "isAvailable": true,
      "isTextResume": false,
      "source": "upload",
      "moderationStatus": 1
    }
  },
  "user": {
    "username": "[email protected]",
    "email": "[email protected]",
    "mobile": "9876543210",
    "profileId": "prof-441",
    "resdexVisibility": "visible",
    "canChooseProfileDuringApply": true,
    "isEmailVerified": true,
    "isMobileVerified": true,
    "isPremium": false,
    "lastThirtyDaysApplicationCount": 6
  },
  "itskills": [{"id": "java", "name": "Java"}],
  "educations": [],
  "employments": [],
  "certifications": [],
  "projects": [],
  "languages": [],
  "noticePeriod": {},
  "onlineProfile": [],
  "extendedProfile": {}
}

  • 上传简历

    PUT /v1/me/profiles/{profileId}/resume osint

    把求职者简历上传到当前资料并返回 cvInfo（fileName、cvFormat、isAvailable）。姊妹路径覆盖头像、备用简历与删除简历操作。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。multipart 正文为简历文件。

    • profileId
    • cvInfo
    • cvFormat
    • fileName
    • isAvailable
    • isTextResume
    • source
    • moderationStatus
    PUT /v1/me/profiles/prof-441/resume HTTP/1.1
Content-Type: multipart/form-data; boundary=----NaukriBoundary
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>

------NaukriBoundary
Content-Disposition: form-data; name="file"; filename="Priya_Sharma_Resume.pdf"
Content-Type: application/pdf

<binary>
------NaukriBoundary--
    {
  "profileId": "prof-441",
  "cvInfo": {
    "cvFormat": "pdf",
    "fileName": "Priya_Sharma_Resume.pdf",
    "isAvailable": true,
    "isTextResume": false,
    "source": "upload",
    "moderationStatus": 1
  }
}

  • 解析简历

    GET /v1/me/resume/parsed-details osint

    在用 fileKey/formKey 启动解析后，返回结构化简历解析结果（workExperience、educations、keySkills.skills 含 extracted/globalName），用于预填注册与资料表单。

    认证方式： 必需。Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。启动为 POST /v1/me/resume/parse，带 fileKey 与 formKey。

    • fileKey
    • formKey
    • flow
    • sections
    • workExperience
    • currentExperience
    • previousExperience
    • totalWorkExperience
    • company
    • organizationId
    • designation
    • designationId
    • startDate
    • endDate
    • educations
    • courseType
    • institute
    • grade
    • marks
    • educationId
    • yearOfStart
    • yearOfCompletion
    • isPrimary
    • keySkills
    • skills
    • extracted
    • globalId
    • globalName
    • workNature
    • metaData
    GET /v1/me/resume/parsed-details?flow=registration&sections=educations,workNature,workExperience,keySkills HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "workExperience": {
    "currentExperience": {
      "company": "Example Corp",
      "organizationId": "org-441",
      "designation": "Software Engineer",
      "designationId": "des-12",
      "startDate": "2021-06",
      "endDate": ""
    },
    "previousExperience": [],
    "totalWorkExperience": {}
  },
  "educations": [{
    "courseType": "fulltime",
    "institute": "NITK Surathkal",
    "grade": "8.4",
    "marks": "8.4",
    "educationId": "edu-1",
    "yearOfStart": "2016",
    "yearOfCompletion": "2020",
    "isPrimary": true
  }],
  "keySkills": {
    "skills": [{
      "extracted": "Java",
      "globalId": "sk-java",
      "globalName": "Java"
    }]
  },
  "workNature": {},
  "metaData": {}
}

  • 搜索曝光

    GET /v1/me/search-impressions opendata

    返回登录求职者的招聘方搜索曝光分析（totalSearchAppearances、recruiterActions、searchKeyWords、searchAppearanceTimeline），供资料表现页使用。

    认证方式： 必需。登录签发的 Cookie: nauk_at 加 Authorization: ACCESSTOKEN = <token>。

    • recruiterActions
    • totalSearchAppearances
    • dayWiseSearchAppearance
    • percentageChange
    • searchAppearanceTimeline
    • searchKeyWords
    GET /v1/me/search-impressions HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "recruiterActions": 12,
  "totalSearchAppearances": 148,
  "dayWiseSearchAppearance": 6,
  "percentageChange": 18,
  "searchAppearanceTimeline": {
    "2026-09-21": 4,
    "2026-09-22": 7,
    "2026-09-23": 6,
    "2026-09-24": 9,
    "2026-09-25": 8,
    "2026-09-26": 5,
    "2026-09-27": 6
  },
  "searchKeyWords": {
    "java": 40,
    "spring": 22,
    "backend": 18
  }
}

  • 搜索公司

    GET /v1/companies/search opendata

    查询 Naukri 雇主群组（groupId、groupName、groupJobsURL、hasLiveJob、rating、reviewsCount），供公司浏览/关注页使用。

    认证方式： 可选的 nauk_at / ACCESSTOKEN。公司群组查询也可提交 groupIds 列表。

    • groupDetails
    • groupId
    • groupName
    • groupJobsURL
    • groupLogo
    • groupTags
    • hasLiveJob
    • rating
    • reviewsCount
    • tagsOrder
    • groupIds
    GET /v1/companies/search HTTP/1.1
Accept: application/json
Cookie: nauk_at=<access-token>
Authorization: ACCESSTOKEN = <access-token>
    {
  "groupDetails": [{
    "groupId": 441890,
    "groupName": "Example Corp",
    "groupJobsURL": "https://www.naukri.com/example-corp-jobs-careers-441890",
    "groupLogo": {},
    "groupTags": {"industry": ["IT Services"]},
    "hasLiveJob": true,
    "rating": 4.2,
    "reviewsCount": 1860,
    "tagsOrder": ["industry"]
  }]
}

数据类别

  • 职位列表
  • 职位详情
  • 候选人资料
  • 简历
  • 投递申请
  • 搜索曝光
  • 登录会话

数据使用场景与案例

  • 印度职位市场普查

    劳动力市场管道可轮询 GET /v1/jobs/search 再调 GET /v1/jobs/{jobId}，存储 jobId、title、companyName、tagsAndSkills、salaryDetail.minimumSalary/maximumSalary、wfhType、vacancy 与 ambitionBoxData.aggregateRating，构建实时 Naukri 职位目录。

  • 候选人 CRM 增强

    HRIS 工具可在登录后调用 GET /v1/me/profile?expand_level=4，把 email、mobile、resumeHeadline、keySkills、absoluteCtc、absoluteExpectedCtc、profileCompletion 与 cvInfo.fileName 挂到现有申请人记录上。

  • 投递管道对账

    ATS 机器人可 POST /v1/applications 再 GET /v1/applications/history，把 jobId、lastStatus、arsScore、applyType 与 applyViaCallEnabled 映射进面试阶段看板。

  • 简历解析为结构化资料

    入职流程可把 PDF PUT 到 /v1/me/profiles/{profileId}/resume，用 fileKey/formKey POST /v1/me/resume/parse，再 GET /v1/me/resume/parsed-details，水合 company、designation、startDate、institute、yearOfCompletion 与 keySkills.skills.extracted，替代空白资料表单。

常见问题

Naukri 搜索返回哪些职位字段？

GET /v1/jobs/search 返回结果信封：noOfJobs、sid、isLoggedIn 及 jobDetails 卡片，含 jobId、title、companyName、companyId、tagsAndSkills、salaryDetail（minimumSalary/maximumSalary/hideSalary）、wfhType、vacancy、isSaved、isApplied 与 ambitionBoxData。客户端筛选含 keyword 与 location。

候选人如何登录认证？

应用把 username、isLoginByEmail 与 password 提交到 /v1/auth/session（OTP 变体在同一 auth 命名空间下）。响应 Cookie 含 nauk_at；后续调用发送 Cookie: nauk_at 与 Authorization: ACCESSTOKEN = <token>。userInfo.userData 携带 email、resId 与 username。

能否读取候选人资料与简历解析？

可以。GET /v1/me/profile?expand_level=4&pc=1 返回 profile（name、keySkills、resumeHeadline、absoluteCtc、cvInfo）与 user（email、mobile、isPremium）。GET /v1/me/resume/parsed-details 从上传的简历填充 workExperience、educations 与 keySkills.skills。

投递与招聘方浏览在哪里？

POST /v1/applications 提交投递。GET /v1/applications/history 列出 jobTitle、lastStatus 与 arsScore。GET /v1/me/search-impressions 暴露 totalSearchAppearances、recruiterActions 与 searchKeyWords。

与 Naukri: Job Search App 相似的应用

  • Indeed Job Search — 全球性招聘平台，其印度应用聚合来自公司官网和其他招聘板的职位，并在职位列表之外提供公司点评和薪资数据。
  • LinkedIn — 职业社交平台，其招聘板块在印度被广泛用于中高端职位，除职位列表外还支持招聘方直接联系和公司主页。
  • Shine.com Job Search App — 印度招聘门户，主打入门级和中级职位，还提供政府职位信息并支持多种印度地方语言。
  • apna — 面向入门与一线岗位招聘的印度求职应用，支持聊天式投递，在二三线城市覆盖较广。
  • foundit (Monster) — Monster 印度业务于 2022 年更名为 foundit，是覆盖亚太和中东地区中高端职位的求职与匹配平台。
  • Glassdoor — 将职位列表与匿名员工点评、薪资报告结合在一起，求职者可在投递前先调研雇主。
  • Internshala — 专注实习与应届生岗位的印度平台，常被列为适合学生的印度主要招聘门户之一。

更多招聘求职类应用

相关主题

  • Naukri API
  • Naukri 职位搜索端点
  • jobId companyName salaryDetail
  • Naukri 登录 API
  • 简历解析 API
  • nauk_at ACCESSTOKEN
  • Naukri 搜索曝光
  • Naukri 投递 API

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