Naukri Jobs Scraper

Scrape Naukri.com job listings from India by keyword, location, experience, and posting age. The actor returns clean JSON for recruiting automation, market mapping, salary research, job-board monitoring, and AI-agent workflows.

What You Get

Each dataset item is one Naukri job posting with the fields agents and data teams usually need:

• Job title, job ID, Naukri job URL, and apply URL
• Company name, rating, review count, logo, and company URL when available
• Location, required experience, parsed minimum and maximum experience
• Salary text, posted date or freshness label, job type, skills, and description
• Search keyword, search location, search URL, page number, and scrape timestamp

When To Use This Actor

Use this actor when you need structured Naukri job data for hiring research, lead generation, job-market analytics, salary benchmarking, or workflow automation. It is built for public job listings on Naukri.com and does not log in, apply to jobs, scrape resumes, or access candidate profiles.

Input Options

You can run a normal keyword search or paste Naukri URLs directly.

• keyword: role, title, or skill, for example data analyst
• location: city or region, for example mumbai or bengaluru
• experience: optional Naukri experience filter from 0 to 15 years
• jobAge: optional posting-age filter for recent jobs
• startUrls: Naukri search-result or job-detail URLs
• maxItems: maximum jobs to return and bill for
• enrichDetails: optional detail-page fetch for richer descriptions

Pricing

This actor uses predictable pay-per-event pricing.

Event	Price
Actor start	$0.00005 per run
Job scraped	$0.006 per job returned

A 50-job run costs about $0.30 plus the tiny start event, before any platform usage or proxy charges shown by Apify.

Reliability Notes

Naukri is protected by Akamai and often blocks datacenter traffic. The default proxy configuration uses Apify Residential proxies in India and low browser concurrency to keep sessions consistent. If a run returns zero jobs, keep the default proxy, reduce concurrency, and try a smaller maxItems canary before running a large export.

Output Example

{
  "jobId": "120626012345",
  "title": "Senior Software Engineer",
  "companyName": "Acme Technologies",
  "location": "Bengaluru",
  "experience": "3-7 Yrs",
  "minExperienceYears": 3,
  "maxExperienceYears": 7,
  "salaryText": "12-22 Lacs PA",
  "postedAgo": "2 days ago",
  "skills": ["Java", "Spring Boot", "Microservices"],
  "jobUrl": "https://www.naukri.com/job-listings-senior-software-engineer-acme-bengaluru-120626012345",
  "source": "naukri.com",
  "searchKeyword": "software engineer",
  "searchLocation": "bengaluru",
  "pageNumber": 1,
  "scrapedAt": "2026-06-12T12:00:00.000Z"
}

For AI Agents And MCP

This actor is optimized for agent calls: small default input, clear cost cap, stable field names, and one result record per job. Use it when the user asks for Naukri job listings, India hiring trends, role demand, company hiring research, or salary signals from Naukri. Do not use it for LinkedIn jobs, Indeed jobs, candidate resumes, or private applicant data.