Naukri job search data API

Naukri: Job Search App is the Android app of Naukri.com, the job portal Info Edge (India) Ltd. has run since 1997 and the company that also owns AmbitionBox, 99acres and Jeevansathi. Jobseekers sign in with email and password or OTP, search vacancies by keyword and location, narrow results with filters, and open job-detail pages that show the salary range, experience band, work-from-home type, walk-in details and AmbitionBox employer ratings and reviews. From there they apply in one tap or call the recruiter where apply-via-call is enabled, answer post-apply questionnaires, save roles for later, follow companies, and track every application and its recruiter status in the Applications tab, while a personalised For You feed groups recommended jobs around recent searches and applies. The My Naukri section holds the profile recruiters search through Naukri's Resdex database (resume headline, key skills, employment and education history, IT skills, projects, certifications, notice period, current and expected CTC), with resume upload and a resume parser that pre-fills registration and profile forms, and a Profile Performance screen shows how often the profile appeared in recruiter searches, which keywords surfaced it and what actions recruiters took. Built for India's white-collar and fresher job market, it competes with LinkedIn, Indeed, foundit and apna for jobseekers ranging from interns and freshers to experienced professionals.

Naukri vacancy cards carry jobId, title, companyName, tagsAndSkills, experienceText, wfhType and vacancy, a salaryDetail pay range in minimumSalary/maximumSalary (or a hideSalary flag), and the employer's AmbitionBox aggregateRating and reviewsCount; job details add jobDescription, walkInDetail and companyApplyUrl, search pages report noOfJobs with filter clusters, and employer groups resolve to groupName, hasLiveJob, rating and reviewsCount.

On the candidate side, a signed-in profile holds resumeHeadline, keySkills, rawTotalExperience, noticePeriod, compensation in absoluteCtc and absoluteExpectedCtc, profileCompletion, the resdexVisibility switch and nested employments, educations, itskills and certifications. An uploaded CV is tracked through cvInfo (fileName, cvFormat) and parsed into workExperience entries with company, designation, startDate, institute and yearOfCompletion, plus skills normalised from extracted to globalName. Applications record lastStatus, arsScore, applyType, applyViaCallEnabled and jobActDate, and profile-performance analytics report totalSearchAppearances, recruiterActions, searchKeyWords and a searchAppearanceTimeline.

Labour-market pipelines can poll listings and job details into a live India vacancy catalog that tracks skills demand, salary bands, work-from-home share and employer ratings. HRIS tools can attach a candidate's resume headline, key skills, current and expected CTC, profile completion and CV file onto an existing applicant record, ATS bots can map apply status and ARS score into interview-stage dashboards, and onboarding flows can hydrate company, designation, institute and skills from a parsed CV instead of a blank form. openData Studio makes this Naukri vacancy, profile and application data callable open data.

Screenshots

API surface

The endpoints and request/response examples below are reconstructed from the app's interface — illustrative, not a live capture.

Login

POST /v1/auth/session osint

Authenticates a Naukri jobseeker with username/password (or encryptedToken) and returns nauk_at cookies plus userInfo.userData (email, resId, username) used as the session for every later call.

Auth: Unauthenticated. Response cookies include nauk_at; later calls send Cookie: nauk_at=<value> and Authorization: ACCESSTOKEN = <value>. atTTL is the access-token lifetime.

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
}

Search jobs

GET /v1/jobs/search opendata

Returns the Naukri search-results page: noOfJobs, sid, and a jobDetails list of job cards (jobId, title, companyName, tagsAndSkills, salaryDetail, wfhType, isSaved/isApplied) used by the vacancy listing.

Auth: Optional. Anonymous listing is served without a session. Signed-in calls send Cookie: nauk_at and Authorization: ACCESSTOKEN = <token> so isApplied/isSaved are personalised.

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": {}
}

Fetch job details

GET /v1/jobs/{jobId} opendata

Hydrates a single Naukri posting (jobDescription, tagsAndSkills, salaryDetail, vacancy, wfhType, ambitionBoxData) for the job-details screen, including apply/save flags.

Auth: Optional. Anonymous job descriptions are served without a session. Signed-in calls send Cookie: nauk_at and Authorization: ACCESSTOKEN = <token> so isApplied/isSaved are personalised.

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"
}

Apply to job

POST /v1/applications opendata

Submits a Naukri apply for jobId, returning applyType/lastStatus used by the post-apply questionnaire screen.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login.

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
}

Apply history

GET /v1/applications/history opendata

Lists the signed-in jobseeker's apply history (jobTitle, company, location, lastStatus, arsScore, applyViaCall) used by the Applications tab.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login.

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
  }]
}

Saved jobs

GET /v1/me/saved-jobs opendata

Returns the signed-in jobseeker's saved-jobs list (jobDetails / noOfJobs). Companion POSTs save at /v1/jobs/{jobId}/save and unsave at /v1/jobs/{jobId}/unsave.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login.

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"
  }]
}

Recommended jobs

POST /v1/jobs/recommendations opendata

Returns personalised recommended-job clusters (noOfJobs, sid, recommendedClusters, rawJobDetails) used by the home For You feed.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login.

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": {}
}

Candidate profile

GET /v1/me/profile osint

Returns the signed-in jobseeker's aggregated Naukri profile (profile + user + itskills/educations/employments, including email, mobile, absoluteCtc, resumeHeadline and cvInfo) used by My Naukri.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login. Query expand_level=4&pc=1 expands nested sections.

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": {}
}

Upload resume

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

Uploads the jobseeker's CV onto the active profile and returns cvInfo (fileName, cvFormat, isAvailable). Sibling paths cover photo, alternate-resume and delete-resume actions.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login. Multipart body is the CV file.

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
  }
}

Parse resume

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

Returns structured resume-parse output (workExperience, educations, keySkills.skills with extracted/globalName) after a parse is kicked off with fileKey/formKey. Used to pre-fill registration and profile forms.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token>. Kick-off is POST /v1/me/resume/parse with fileKey and 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": {}
}

Search impressions

GET /v1/me/search-impressions opendata

Returns recruiter-side search-appearance analytics for the signed-in jobseeker (totalSearchAppearances, recruiterActions, searchKeyWords, searchAppearanceTimeline) used by the Profile Performance screen.

Auth: Required. Cookie: nauk_at plus Authorization: ACCESSTOKEN = <token> issued at login.

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
  }
}

Search companies

GET /v1/companies/search opendata

Looks up Naukri employer groups (groupId, groupName, groupJobsURL, hasLiveJob, rating, reviewsCount) used by the companies browse / follow screens.

Auth: Optional nauk_at / ACCESSTOKEN. Company-group lookup also accepts a posted list of groupIds.

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"]
  }]
}

Data categories

job listings
job details
candidate profiles
resumes
applications
search impressions
auth sessions

Where teams use this data

India vacancy market census
A labour-market pipeline can poll GET /v1/jobs/search then GET /v1/jobs/{jobId} and store jobId, title, companyName, tagsAndSkills, salaryDetail.minimumSalary/maximumSalary, wfhType, vacancy and ambitionBoxData.aggregateRating for a live Naukri vacancy catalog.
Candidate CRM enrichment
HRIS tools can call GET /v1/me/profile?expand_level=4 after login and attach email, mobile, resumeHeadline, keySkills, absoluteCtc, absoluteExpectedCtc, profileCompletion and cvInfo.fileName onto an existing applicant record.
Apply-pipeline reconciliation
ATS bots can POST /v1/applications then GET /v1/applications/history and map jobId, lastStatus, arsScore, applyType and applyViaCallEnabled into interview-stage dashboards.
CV parse into structured profile
Onboarding flows can PUT a PDF to /v1/me/profiles/{profileId}/resume, POST /v1/me/resume/parse with fileKey/formKey, then GET /v1/me/resume/parsed-details and hydrate company, designation, startDate, institute, yearOfCompletion and keySkills.skills.extracted instead of a blank profile form.

Frequently asked questions

What job fields does Naukri search return?

GET /v1/jobs/search returns a results envelope: noOfJobs, sid, isLoggedIn and jobDetails cards with jobId, title, companyName, companyId, tagsAndSkills, salaryDetail (minimumSalary/maximumSalary/hideSalary), wfhType, vacancy, isSaved, isApplied and ambitionBoxData. Filters on the client include keyword and location.

How does a candidate authenticate?

The app posts username, isLoginByEmail and password to /v1/auth/session (OTP variants sit under the same auth namespace). The response cookies include nauk_at; later calls send Cookie: nauk_at and Authorization: ACCESSTOKEN = <token>. userInfo.userData carries email, resId and username.

Can I read a candidate profile and resume parse?

Yes. GET /v1/me/profile?expand_level=4&pc=1 returns profile (name, keySkills, resumeHeadline, absoluteCtc, cvInfo) and user (email, mobile, isPremium). GET /v1/me/resume/parsed-details fills workExperience, educations and keySkills.skills from an uploaded CV.

Where do applications and recruiter views live?

POST /v1/applications submits an apply. GET /v1/applications/history lists jobTitle, lastStatus and arsScore. GET /v1/me/search-impressions exposes totalSearchAppearances, recruiterActions and searchKeyWords.

Apps similar to Naukri: Job Search App

Indeed Job Search — Global job board whose India app aggregates postings from company sites and other boards, with company reviews and salary data alongside the listings.
LinkedIn — Professional network whose job board is widely used in India for mid-to-senior roles, adding recruiter outreach and company pages on top of listings.
Shine.com Job Search App — Indian job portal positioned for entry-level and mid-level roles, with government job listings and regional-language support.
apna — Indian jobs app aimed at entry-level and frontline hiring, with chat-based applications and strong reach in tier-2 and tier-3 cities.
foundit (Monster) — Monster's India business rebranded as foundit in 2022, a job-search and matching platform covering mid-to-senior roles across APAC and the Middle East.
Glassdoor — Pairs job listings with anonymous employee reviews and salary reports, so candidates can research an employer before applying.
Internshala — Indian platform specialising in internships and fresher jobs, regularly listed among the country's top job portals for students.

More Jobs & Careers apps

Topics

Naukri API
Naukri job search endpoints
jobId companyName salaryDetail
Naukri login API
resume parser API
nauk_at ACCESSTOKEN
search impressions Naukri
Naukri apply API

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Naukri job search data API

Screenshots

API surface

Login

Search jobs

Fetch job details

Apply to job

Apply history

Saved jobs

Recommended jobs

Candidate profile

Upload resume

Parse resume

Search impressions

Search companies

Data categories

Where teams use this data

India vacancy market census

Candidate CRM enrichment

Apply-pipeline reconciliation

CV parse into structured profile

Frequently asked questions

Apps similar to Naukri: Job Search App

More Jobs & Careers apps

Bumeran

Captcha Entry: Typing Job work

Clickworker

Computrabajo Ofertas de Empleo

Topics

Need this app's data API integrated?

Naukri job search data API

Screenshots

API surface

Login

Search jobs

Fetch job details

Apply to job

Apply history

Saved jobs

Recommended jobs

Candidate profile

Upload resume

Parse resume

Search impressions

Search companies

Data categories

Where teams use this data

India vacancy market census

Candidate CRM enrichment

Apply-pipeline reconciliation

CV parse into structured profile

Frequently asked questions

Related apps

Apps similar to Naukri: Job Search App

More Jobs & Careers apps

Bumeran

Captcha Entry: Typing Job work

Clickworker

Computrabajo Ofertas de Empleo

Topics

Need this app's data API integrated?