Naukri Scraper for India Job Market Data

What We Capture on Naukri

Two fields carry most of the value here and are the reason to scrape Naukri rather than a global aggregator. Experience is published as a band in years, not as a vague word like senior, and required skills sit in a list of their own rather than in prose. Both are readable before the posting opens: the job URL itself ends with the experience band and a numeric job id.

• Job title as the employer wrote it, plus the designation Naukri files it under.
• Experience range as printed and split into minimum and maximum years, so a 0 to 2 fresher opening and an 11 to 13 lead role never share a bucket.
• Key skills as an array, with preferred skills in a second column.
• Company name, the numeric company id and the employer page it links to.
• Locations as a list, not one string: postings routinely name several cities at once, and metro groupings such as Delhi NCR and Mumbai All Areas are values in themselves.
• Salary kept twice, as the printed string and as a parsed band. Indian pay is quoted in lakhs per annum: a lakh is one hundred thousand rupees, so 9-18 Lacs P.A. means nine to eighteen lakh rupees a year.
• Work mode - work from office, hybrid or remote - and the employment type.
• Role, role category, department or functional area, and industry type.
• Education split into undergraduate and postgraduate requirements.
• Openings, applicants and views where the posting publishes them.
• Employer type - placed by the company itself or by a hiring consultancy, a distinction Naukri marks and filters on.
• Posted date, the freshness label, the job id and the canonical URL.

Salary is the field to be candid about. A large share of postings read Not Disclosed, and that column stays blank rather than carrying a modelled estimate. The Naukri salary data you get is real but partial, so plan around the rows that state a band.

Employers, Closed Jobs and Crawl Boundaries

Company pages are a separate object. A Naukri employer lives at its own address ending in a numeric company id, with an overview and a jobs-by-location view indexed apart from the job list. We collect employer records alongside postings and join them on that id, but they move on different clocks and run as separate jobs.

Ratings come from AmbitionBox. The star rating and review count on a job card are supplied by AmbitionBox, a separate site in the Info Edge group with its own address and protection. Rating and count travel with the posting as printed on the card. Full review text sits on that other site and is scoped as its own project, not bundled into a Naukri feed.

Closed postings stay addressable. Naukri publishes an expired job description sitemap beside the live city files, plus an incremental sitemap of the newest pages. A job that closes becomes a dated event in your history instead of a row that vanishes, and the incremental file shows what changed since yesterday.

What we leave alone. The Naukri CV database, sold to recruiters as Resdex, is a login-gated store of registered candidate profiles. Candidate resumes, jobseeker profiles and recruiter contact details are personal data and stay out of the delivery.