Naukri job search data API

infoedge.com · Identity

Naukri: Job Search App is Info Edge's Android client for India's Naukri.com board. The data API behind those screens starts at /v1/jobs/search for the filtered vacancy list (jobId, title, companyName, salaryDetail) and /v1/jobs/{jobId} for a single posting, then layers on the signed-in profile at /v1/me/profile and recruiter search appearances at /v1/me/search-impressions.

Naukri: Job Search App (package naukriApp.appModules.login, versionName 21.115) is Info Edge's Android client for India's Naukri.com board: candidates search vacancies, open a job description, apply or save a role, upload a resume, and watch recruiter search appearances on their profile. Behind those screens the app talks to a JSON API, with naukri.com used for the web login hand-off. Signed-in calls attach the nauk_at cookie and an Authorization ACCESSTOKEN header issued at login. Job cards use wire names such as jobId, title, companyName, tagsAndSkills, salaryDetail, wfhType, isSaved and isApplied. The surface below covers password/OTP login, job search, job details, the apply workflow, apply history, saved jobs, recommended jobs, the aggregated candidate profile, resume upload, resume parsing, search impressions and company search.

Screenshots

API surface

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

Illustrative example reconstructed from the app's interface — not a live capture.

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
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the app's email/password and OTP sign-in screens
Session behaviour matches the cookie plus token-header pair attached on every signed-in screen

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

Illustrative example reconstructed from the app's interface — not a live capture.

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": {}
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the app's keyword/location job-search screen
Card fields mirror the job list items rendered in the results feed

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

Illustrative example reconstructed from the app's interface — not a live capture.

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"
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the app's job-description screen

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
Illustrative example reconstructed from the app's interface — not a live capture.
```
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
}
```
Derived from the app's interface; endpoint details are illustrative, not a live capture.
- Reconstructed from the app's apply button and post-apply questionnaire flow

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

Illustrative example reconstructed from the app's interface — not a live capture.

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
  }]
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the app's Applications tab

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
Illustrative example reconstructed from the app's interface — not a live capture.
```
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"
  }]
}
```
Derived from the app's interface; endpoint details are illustrative, not a live capture.
- Reconstructed from the app's saved-jobs list and save/unsave toggles

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

Illustrative example reconstructed from the app's interface — not a live capture.

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": {}
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the home feed's For You recommendations

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

Illustrative example reconstructed from the app's interface — not a live capture.

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": {}
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the My Naukri profile screen
Nested sections mirror the profile, skills, education and employment panes

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
Illustrative example reconstructed from the app's interface — not a live capture.
```
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
  }
}
```
Derived from the app's interface; endpoint details are illustrative, not a live capture.
- Reconstructed from the app's resume-upload flow

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

Illustrative example reconstructed from the app's interface — not a live capture.

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": {}
}

Derived from the app's interface; endpoint details are illustrative, not a live capture.

Reconstructed from the registration flow's resume pre-fill step

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
Illustrative example reconstructed from the app's interface — not a live capture.
```
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
  }
}
```
Derived from the app's interface; endpoint details are illustrative, not a live capture.
- Reconstructed from the Profile Performance screen
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
Illustrative example reconstructed from the app's interface — not a live capture.
```
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"]
  }]
}
```
Derived from the app's interface; endpoint details are illustrative, not a live capture.
- Reconstructed from the companies browse and follow screens

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.

More Identity 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

More Identity apps

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apna - Search Job, Vacancy App

Genius Scan - PDF Scanner

Glassdoor | Jobs & Careers

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

More Identity apps

All Languages Translator

apna - Search Job, Vacancy App

Genius Scan - PDF Scanner

Glassdoor | Jobs & Careers

Topics

Need this app's data API integrated?