How to scrape Naukri jobs for the India market
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To scrape Naukri jobs, run the Datapika job search engine on Apify: enter your search terms, select Naukri as a source, and export the results as JSON, CSV, or through the API. Every Naukri row includes three India-specific fields (skills, experience range, and company rating) alongside title, company, location, salary, and the full description. Pricing is $0.005 per job delivered, first rows appear about 3 seconds after the run starts, and the engine holds a 5.0 rating on Apify from 2,462+ users.
India-specific fields on every Naukri row
Naukri is the dominant job board for the Indian market, and Datapika returns three fields there that other boards do not provide: skills, experience range, and company rating. These sit alongside the standard schema, so a Naukri row is directly comparable with a LinkedIn or Indeed row in the same dataset.
- Skills: the tagged skill list from each posting, useful for candidate matching or tracking demand for specific technologies.
- Experience range: the minimum and maximum years of experience the employer asks for.
- Company rating: the employer's rating as shown on Naukri.
- Standard fields too: salary min, max, currency, and interval with optional annual normalization, plus full description in markdown or HTML, remote flag, and job type.
- Both a job URL and a direct apply URL, so you can route applicants straight to the employer.
One deduplicated search across Naukri, LinkedIn, and Indeed
Indian roles are often cross-posted, so adding boards naively inflates your counts with duplicates. Datapika sweeps up to 8 boards in a single run and deduplicates the output: the same job posted in 3 places becomes 1 row tagged with every source.
- Add Indeed with the country setting on India; it is the most reliable board and the best choice for volume.
- Add LinkedIn for rich descriptions (enable the fetch-description option) and target specific employers by LinkedIn company ID.
- Filter to remote only, a specific job type, or postings from the last N hours to keep the dataset fresh.
- Run up to 5 search terms in one sweep; a verified run returned 95 jobs across 5 boards in 54 seconds.
- The engine scrapes 200,000+ jobs daily with a 90% run success rate over the last 30 days.
How to do it
- 1.Open the Datapika job search engine at apify.com/openclawai/job-board-scraper and enter up to 5 search terms with an Indian location.
- 2.Select Naukri as a source, then add LinkedIn and Indeed (country set to India) for deduplicated cross-board coverage.
- 3.Run the search and export your results from the dataset in the browser, or as JSON, CSV, or through the API, at $0.005 per job delivered.
Questions, answered
How much does it cost to scrape Naukri jobs?
Datapika charges $0.005 per job delivered, so 1,000 Naukri jobs cost about $5. Deduplication works in your favor: a job posted on Naukri, LinkedIn, and Indeed counts as one row, not three. There are no API keys or subscriptions to manage.
What data can I get from Naukri job postings?
Every Naukri row includes title, company, location, salary (min, max, currency, interval), full description in markdown or HTML, remote flag, job type, and both job and direct apply URLs. Naukri also adds three India-specific fields: skills, experience range, and company rating.
Can I scrape Naukri, LinkedIn, and Indeed at the same time?
Yes. One Datapika search sweeps up to 8 boards at once, including Naukri, LinkedIn, and Indeed, and deduplicates across them, so the same job posted in 3 places returns as 1 row tagged with every source. A verified run returned 95 jobs across 5 boards in 54 seconds.
Do I need coding skills or an API key to scrape Naukri?
No. Datapika runs on Apify with no API keys needed, and you can view and export the dataset directly in your browser as JSON or CSV. First rows appear about 3 seconds after the run starts, and the engine holds a 5.0 rating on Apify from 2,462+ users.