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Naukri jobs API: salary in LPA, daily whole-board feed

Naukri Jobs Scraper is a pay-per-record Apify Actor by Daemon Data that returns Naukri.com jobs with salary in LPA, experience, skills, applicants, views, AmbitionBox rating and full description; whole-board daily export and only-new mode as JSON, CSV or Excel. It costs $0.0008 per job with the default options ($0.80 per 1,000); no login to the source site and no proxy or browser to set up on your side, and the same input runs from the Apify console, one REST call, Python, Node.js, n8n or an AI assistant through MCP.

Daemon Data Naukri Jobs Scraper on Apify Listing as plain text

Why teams use it

Job aggregators and job boards: a complete daily feed of new Indian jobs in one schema.
Recruiters and staffing firms: see which companies are hiring for which roles and cities, and how many people already applied.
HR analytics and salary research: salary bands in LPA by role, city and experience; demand by skill.
Sales teams: companies that are hiring are companies that are growing; use hiring as a buying signal.
AI agents and job-search tools: fresh Indian jobs as structured data through the API or MCP.

Output fields

Top-level fields of each record: id, dedupKey, url, title, company, experienceMinYears, experienceMaxYears, experienceText, salaryMinInr, salaryMaxInr, salaryMinLpa, salaryMaxLpa, salaryHidden, salaryText, locations, locationText, workMode, skills, roleCategory, role, functionalArea, industry, employmentType, education, openings, applicants, views, postedByConsultant, walkIn, postedAt, summary, descriptionHtml, description, query, scrapedAt.

Input and how to call it

Example input. Fields and pricing were checked against the public listing on 2026-11-09; this build does not run paid example searches.

{
  "queries": [
    "data analyst"
  ],
  "locations": [
    "Bangalore"
  ],
  "postedWithinDays": 3,
  "maxJobsPerQuery": 50
}

One HTTP call starts a run, waits for it and returns the records (token from console.apify.com):

curl -X POST "https://api.apify.com/v2/acts/data_daemon~naukri-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["data analyst"], "locations": ["Bangalore"], "postedWithinDays": 3, "maxJobsPerQuery": 50}'

Python: ApifyClient(token).actor("data_daemon/naukri-jobs-scraper").call(run_input=...). Python example · Node.js example · n8n workflow. AI assistant (MCP): add the remote server https://mcp.apify.com/?tools=data_daemon/naukri-jobs-scraper with header Authorization: Bearer YOUR_APIFY_TOKEN in Claude, ChatGPT, Cursor or VS Code and ask for the data in plain words.

All input fields

Field	Type	Meaning
`queries`	array	Job titles, skills or company names, one search each (e.g. `data analyst`, `java developer`, `Infosys`). Leave empty and turn on All jobs to export the whole board.
`allJobs`	boolean	Export every job posted on Naukri in the posting window instead of keyword searches (about 12,000 new jobs a day). Searches larger than Naukri's paging limit (~15,000) are split automatically by job function and city. If `postedWithinDays` is empty it is set to 1.
`locations`	array	Cities to search, one search per city (e.g. `Bangalore`, `Mumbai`, `Delhi`, `Pune`, `Hyderabad`, `Remote`). Empty = all of India.
`experienceYears`	integer	Only jobs open to a candidate with this many years of experience (Naukri's experience filter).
`workModes`	array	Only jobs with these work modes. Empty = all.
`postedWithinDays`	integer	Only jobs posted in the last N days (1-30). Empty = any date (up to Naukri's 30-day window).
`sortBy`	string	Relevance (default) puts true keyword matches first; Naukri's date order mixes in loosely related jobs. All jobs always runs newest first.
`keywordInTitle`	boolean	Keep only jobs whose title contains every word of the keyword (e.g. `data analyst` keeps "Senior Data Analyst", drops "Business Analyst"). Left-out jobs are not charged. Off by default.
`includeDescription`	boolean	On (default): opens each job for the full description, applicants, views, role, function, industry, education, employment type and the company's website and address, at no extra charge. Off: faster, search-card fields only (title, company, salary, experience, city, skills, short summary).
`maxJobsPerQuery`	integer	Stop each keyword (per city) after this many jobs. Not used with All jobs.
`maxJobs`	integer	Stop the run after this many jobs in total. 0 = no limit (the run's maximum cost still applies).
`onlyNewSinceLastRun`	boolean	On: deliver only jobs that an earlier run with the same `stateName` (or the same search) has not delivered, and skip the rest without charging. If `postedWithinDays` is empty it is set to 3. Off (default): return every matching job.
`stateName`	string	Optional name for the only-new memory, e.g. `bangalore-data-jobs`. Runs with the same name share one memory. Empty = derived from the keywords, cities, experience and work mode.
`skipJobIds`	array	Naukri job IDs you already have (the `id` field, e.g. `041126017601`); they are skipped and not charged.

Price

$0.0008 per job ($0.80 per 1,000); $0.001 per run. List prices for Apify Free and Starter plans; Scale and Business plans pay 15% to 30% less.

Event	Price	Per 1,000	Charged when
Job	$0.0008	$0.80	One Naukri job saved to the dataset, including the full description and job-page details when descriptions are on. Jobs skipped by only-new mode, skipJobIds or the title filter are never charged.
Actor Start	$0.001		Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).

Cost example: 50 jobs with default options cost $0.041, including any start fee. This is an illustrative record count; set explicit row and total-charge caps for your run. Apify's free plan includes $5 of usage a month, about 6,250 jobs before start fees; the Actor's own compute is included in the per-record price, and records skipped by filters, de-duplication or only-new mode are not charged.

Ready-made example pages

Saved inputs you can run with one click on Apify (Examples tab); each has its own page:

Naukri jobs API: newest jobs posted in the last 24 hours: A daily Naukri.com jobs feed as JSON: the newest 2,000 jobs posted on Naukri in the last 24 hours across all sectors and cities, with company, city, work mode, experience, salary in LPA, skills and posting time. Set maxJ {"allJobs": true, "postedWithinDays": 1, "includeDescription": false, "maxJobs": 2000}
Naukri daily feed: only new data analyst jobs in Bangalore: A ready-made daily feed task: data analyst jobs in Bangalore posted on Naukri in the last 2 days with the keyword in the job title, only jobs this feed has not delivered before. Copy it to your account, change the keywor {"queries": ["data analyst"], "locations": ["Bangalore"], "keywordInTitle": true, "postedWithinDays": 2, "onlyNewSinceLastRun": true, "stateName": "naukri-data-

Alternatives, honestly

Option	What it gives you	Where it falls short for this job
Naukri.com website and employer integrations	Candidate search/apply and employer integration products	Employer integrations are distinct from a public bulk-reading API for job listings
Other Naukri Actors on Apify Store	Same board	Compare price per 1,000 with details included, salary in LPA, whole-board export past the 15,000-result limit and only-new mode
Build your own scraper	Full control	You keep up with Naukri's API, paging limit and job-page format yourself

Published by Daemon Data (data_daemon on Apify Store). Prices, fields and example pages read from the live Apify listing on 2026-11-09; the listing is the canonical description of the Actor.