Naukri.com Job Listings Extractor with Salary & Skills

Naukri.com is one of India's best-known job boards, and this actor turns any search on it into structured data. Paste a search URL or fill in keyword/location/salary filters, and get back one record per job posting with company, pay, skills and recruiter detail.

What this actor does

• Scrapes job listings either from a pasted Naukri search URL or from structured filter fields (keyword, location, experience, salary, job age, job type, work mode).
• Returns company detail alongside each job, including AmbitionBox rating and review count when Naukri publishes one for that employer.
• Pulls the skill tags Naukri attaches to each posting, along with industry and role category.
• Captures posting freshness (Naukri's relative label plus an absolute creation timestamp when Naukri provides one), vacancy count, and application count.
• Omits any field Naukri didn't supply for a given listing, so records never carry empty placeholders.

Output per job

Field	Description
id	Naukri's internal job ID.
title	Job title as posted.
url	Full URL of the job listing on Naukri.
companyName	Hiring company's name.
companyId	Naukri's internal company ID.
companyRating	AmbitionBox rating out of 5, when available for the company.
companyReviewCount	Number of AmbitionBox reviews behind that rating.
location	Job location(s); may list several cities.
experience	Required experience range, as shown on Naukri.
salary	Salary range as displayed on the listing.
description	Job description snippet.
skills	Skill tags attached to the posting.
industry	Industry category.
role	Job role category/sub-function.
jobTypeFlags	Badges such as premium, easy_apply, or walk_in.
postedDate	Relative posting age as shown on Naukri (e.g. "2 days ago").
postedAt	Absolute posting timestamp (UTC), taken from Naukri's own creation time for the job when it is provided.
logoUrl	Company logo image URL.
vacancies	Number of open vacancies on the posting.
applyCount	Number of applicants shown on the posting.
recruiterName	Recruiter's name, when Naukri lists one.
scrapedAt	UTC timestamp of when the record was scraped (always present).

Input

Field	Type	Default	Description
searchUrl	String	–	A Naukri.com search URL to scrape; its job-title/location slug and k/l/experience/jobAge query parameters are parsed automatically. Salary, job type, work mode and sort are not read from the URL — set those via their own fields below.
maxItems	Integer	50	Maximum number of job listings to return.
keyword	String	–	Job title or keyword. If searchUrl is also set, this overrides the keyword parsed from the URL.
location	String	–	City name (e.g. bangalore, delhi-ncr). If searchUrl is also set, this overrides the location parsed from the URL.
experienceYears	Integer	–	Years of experience required (0–30).
salaryLakhs	String (select)	–	Annual salary band in lakhs INR: 0-3, 3-6, 6-10, 10-15, 15-25, 25+.
jobAge	String (select)	–	Only jobs posted within the last N days: 1, 3, 7, 15, 30.
jobType	String (select)	–	full-time, part-time, internship, or contractual.
workMode	String (select)	–	remote or hybrid. There is no office-only option: leaving it empty returns jobs of every work mode.
sortBy	String (select)	relevance	relevance, date (newest first), or salary (highest first).

Example: search URL

{
  "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
  "maxItems": 50
}

Example: structured filters

{
  "keyword": "data scientist",
  "location": "hyderabad",
  "experienceYears": 3,
  "salaryLakhs": "10-15",
  "jobAge": "7",
  "sortBy": "date",
  "maxItems": 100
}

Example: remote internships

{
  "keyword": "machine learning intern",
  "workMode": "remote",
  "jobType": "internship",
  "maxItems": 30
}

Use cases

• Recruitment agencies building talent pipelines or tracking which roles competitors are hiring for.
• Job seekers automating discovery of new postings that match a skill set or city.
• HR and compensation teams benchmarking salary ranges for a role across companies and cities.
• Market researchers tracking hiring volume by industry or location over time.
• Data teams building a dataset of India's job market for analysis or model training.

FAQ

Do I need a Naukri account to use this? No. It reads Naukri's public job search results; no login or cookies are required.

What's the difference between pasting a URL and using the filter fields? Pasting a searchUrl lets you reuse a search you already built on Naukri's site — its keyword, location, experience and job-age are read back out of the URL. The filter fields build an equivalent search from scratch when you'd rather not construct the URL yourself. If both are given, the filter fields (keyword, location, experienceYears, jobAge) override the matching value parsed from the URL; salaryLakhs, jobType, workMode and sortBy are never read from the URL, so set those directly regardless of whether searchUrl is used.

How many jobs can I get in one run? Up to the maxItems cap you set (maximum 800). For broader coverage than that, split your search by city, keyword, or salary band and run multiple inputs.

Why is companyRating missing for some jobs? Only companies with an AmbitionBox rating on Naukri carry this field; smaller or newer employers often don't have one yet.

Why is postedAt missing when postedDate is present? The two come from different values in Naukri's listing data: postedDate is the relative label shown on the card ("2 days ago"), while postedAt is Naukri's creation timestamp for the job. When Naukri omits that timestamp, only the relative label is returned.

Can I combine multiple filters, like experience and salary and job type? Yes — all the filter fields apply together, whether or not searchUrl is also set.

How fresh is the data? Each run queries Naukri live, so results reflect whatever is currently listed on the site at run time.

Is this affiliated with Naukri.com? No. This is an independent tool and is not affiliated with, endorsed by, or sponsored by Naukri.com or its owner.