Hiring market research in India
See which companies are hiring data scientists in Bengaluru, at what experience and salary range, and how many people applied.
Naukri data API · Search
Search Naukri by keyword, or paste a Naukri search URL, and narrow with the board's own filters: location, experience, salary in lakhs, workplace, department, industry and more. Every hit comes back as a posting with company, skills, salary range, experience range and applicant counts.
Updated 21 October 2026
See which companies are hiring data scientists in Bengaluru, at what experience and salary range, and how many people applied.
Feed a niche board or an alert bot with fresh Naukri postings, filtered by role, city and date.
Find companies posting several roles in one department this week, with their company details on each row.
curl -X POST https://apiforagents.dev/v1/naukri \
-H "Authorization: Bearer $AFA_KEY" \
-H "Content-Type: application/json" \
-d '{"op":"search","query":"data scientist","postedWithin":"7d","experience":"3","locations":["Bengaluru"],"limit":50,"estimateOnly":true}'curl -X POST https://apiforagents.dev/v1/naukri \
-H "Authorization: Bearer $AFA_KEY" \
-H "Content-Type: application/json" \
-d '{"op":"search","query":"data scientist","postedWithin":"7d","experience":"3","locations":["Bengaluru"],"limit":50}'Everything you can send in one search call. Required inputs first.
| Input | Type | What it does |
|---|---|---|
| query * | string | A keyword, or a pasted Naukri search URL. ≤300 chars |
| postedWithin | enum | |
| sort | enum | |
| experience | string | Years of experience, "all" or "0".."23". pattern `^(all|[0-9]|1[0-9]|2[0-3])$` |
| workplace | enum list | |
| salaryMin | integer | Lakhs per annum; mapped onto Naukri's salary bands. 0-1000 |
| salaryMax | integer | Upper bound in lakhs per annum; with salaryMin, the bands that overlap the range are searched. 0-1000 |
| locations | text list | each ≤60 chars |
| department | text list | Naukri's own department codes (the numbers in its filter URLs, e.g. "5" for Engineering). Any of them matches. Empty = every department. each ≤20 chars |
| roleCategory | text list | Naukri's role-category codes, narrower than a department. Empty = all. each ≤20 chars |
| industry | text list | Naukri's industry codes. Empty = every industry. each ≤20 chars |
| companyType | text list | Naukri's company-type codes (corporate, startup, MNC…). Empty = all. each ≤20 chars |
| topCompanies | text list | Naukri's top-company group codes, to keep only well-known employers. Empty = all companies. each ≤20 chars |
| postedBy | enum list | Who posted the job: the company itself, a consultant, or both when empty. |
| ugCourse | text list | Naukri's undergraduate-degree codes the posting asks for. Empty = any. each ≤20 chars |
| pgCourse | text list | Naukri's postgraduate-degree codes the posting asks for. Empty = any. each ≤20 chars |
| fetchDetails | boolean | Pull each posting's full description and requirements. Slower. |
| limit | integer | 50-200 |
The fields of every row, always present. Nothing is guessed: a value that could not be measured is null, and the answer's coverage says why.
| Field | Type |
|---|---|
| jobId | string |
| jobUrl | string |
| applyUrl | string |
| jobTitle | string |
| company | string |
| companyId | string |
| companyDetails | any |
| hiringFor | string |
| location | string |
| description | string |
| requirementsSummary | string |
| skills | string |
| role | string |
| roleCategory | string |
| department | string |
| industry | string |
| jobType | string |
| workplaceType | string |
| hybridDetail | string |
| minExperienceYrs | integer |
| maxExperienceYrs | integer |
| salaryMin | number |
| salaryMax | number |
| benchmarkMinCtcLakhs | number |
| benchmarkAvgCtcLakhs | number |
| benchmarkMaxCtcLakhs | number |
| benchmarkRole | string |
| benchmarkSalariesUrl | string |
| educationUg | string |
| educationPg | string |
| posted | string |
| applicants | integer |
| views | integer |
| vacancies | integer |
| appliesOnCompanySite | boolean |
| postedByConsultant | boolean |
| listingSource | string |
| referenceCode | string |
| hasQuestionnaire | boolean |
| walkInJob | boolean |
| walkInStart | string |
| walkInEnd | string |
| walkInVenue | string |
| walkInTiming | string |
| walkInContact | string |
| walkInPhone | string |
| internshipDuration | string |
| diversityTags | string |
| benefits | string |
| employeeReviews | any |
| details | object |
details is always the last field: everything else the source sent for that row, under our own field names. Its keys depend on the source that answered, so read them defensively; it is {} when there is nothing more.
Real rows from an earlier run, business data only.
| jobId | jobUrl | jobTitle | company | companyId | companyDetails |
|---|---|---|---|---|---|
| 060926000168 | https://www.naukri.com/job-listings-artificial-intelligen… | Artificial Intelligence Engineer-Bangalore (AI/ ML/ Data … | Shadowfax Technologies | 2449574 | {"hq":"Bengaluru, India","logo":"https://img.naukimg.com/log |
| 050926015054 | https://www.naukri.com/job-listings-software-developer-pr… | Software Developer | Pragmatechnology | 125779112 | {"hq":null,"logo":"https://img.naukimg.com/logo_images/group |
| 050926015043 | https://www.naukri.com/job-listings-fullstack-developer-w… | Fullstack Developer | Witness The Fitness | 124108168 | {"hq":null,"logo":"https://img.naukimg.com/logo_images/group |
Pay as you go, in US dollars, per record. No subscription, nothing expires, $5 first top-up, and every new agent starts with $0.10 free.
| Request | Records | At the list price |
|---|---|---|
| One job | 1 | $0.0018 |
| 10 jobs | 10 | $0.018 |
| A full page | 200 | $0.36 |
These are per-record list prices. Some calls also carry a minimum, such as a page of search results, so a small request can cost more than the table shows. The quote ("estimateOnly": true) is free, gives the most your exact request can cost, and the charge then settles to what came back. Records that do not come back are refunded.
One row per posting: job id and URL, title, company and company details, location, description, a requirements summary, skills, role, role category, department, industry, job type, workplace type, minimum and maximum years of experience, salary range, education asked for, posted date, applicants, views, vacancies, whether a consultant posted it, whether it is a walk-in, benefits and employee reviews.
A keyword or a pasted Naukri search URL is required. Optional filters: posted within, sort, years of experience, workplace (on-site, remote, hybrid or temporary work from home), salary range in lakhs per annum, locations, who posted it (company or consultant), and Naukri's own codes for department, role category, industry, company type, top companies and degree. Set fetchDetails to pull each posting's full description and requirements.
They are the numbers Naukri carries in its own filter URLs, for example "5" for Engineering. Leave a code filter empty to match everything.
$0.0018 per job at the list price. A small call can carry a minimum, so quote first with "estimateOnly": true, which is free and is the most the call can cost. You pay for what comes back. Set a limit between 50 and 200 postings per call.
The playground runs any endpoint by hand: pick a platform and what you want from it, fill a short form named in plain words (or press Use sample input), see the free quote on the Run button, run it, then read the answer as a table or JSON and download it as CSV or JSON. The same call is written out as cURL, Python and Node while you type.
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