Naukri Scraper

Extract job listings from Naukri.com — India's largest job board. Scrape job titles, companies, locations, experience, salary, skills, descriptions, and more from any Naukri search. Perfect for recruitment analytics, market research, salary benchmarking, and competitor hiring intelligence.

What it does

• Scrapes Naukri search results from a URL or from structured filter fields
• Returns 23 fields per job: title, company, rating, location, experience, salary, skills, description, industry, role, posted date, logo, vacancies
• RESIDENTIAL/IN proxy hardcoded — Naukri's Akamai bot protection blocks Apify datacenter IPs, so the scraper applies an India residential proxy automatically. No configuration needed from you.
• Patchright stealth Chromium with up to 5 retries on session-level blocks
• Clean, non-null output — empty fields are omitted from records
• Supports Naukri filters: keyword, location, experience, salary, job age, job type, work mode (remote/hybrid)

Input

Option A — Paste a Naukri URL (easiest)

Set Naukri Search URL to any Naukri search page URL, for example:

https://www.naukri.com/python-developer-jobs
https://www.naukri.com/data-scientist-jobs-in-bangalore
https://www.naukri.com/java-developer-jobs-in-delhi-ncr

The scraper parses the URL slug and filters automatically.

Option B — Use structured filters

Leave Naukri Search URL empty and configure:

Field	Description
Keyword	Job title or keyword (e.g., "python developer")
Location	City name (e.g., "bangalore", "delhi-ncr", "mumbai")
Experience (years)	Years of experience (0–30)
Salary Range (Lakhs)	0-3, 3-6, 6-10, 10-15, 15-25, 25+ lakhs per year
Job Age (days)	1, 3, 7, 15, 30 days
Job Type	Full-time, Part-time, Internship, Contractual
Work Mode	Remote (work from home) or Hybrid. Naukri does not have an explicit "office" filter — office is the default state of every listing, so leave this empty for office jobs.
Sort By	Relevance, Date, Salary
Max Items	Maximum number of jobs to return (default 50)

Output

Each job is a JSON record with the following fields (empty fields are omitted to keep the dataset clean):

Field	Description
id	Naukri job ID
title	Job title
url	Full Naukri job listing URL
companyName	Company name
companyId	Naukri company ID
companyRating	AmbitionBox rating (out of 5)
companyReviewCount	Number of reviews
location	Job location (may list multiple cities)
experience	Required experience range
salary	Salary range as displayed
description	Job description snippet
skills	Array of skill tags
industry	Industry
role	Job role category
jobTypeFlags	Flags such as premium, easy_apply, walk_in
postedDate	When the job was posted
logoUrl	Company logo URL
vacancies	Number of vacancies
applyCount	How many people applied
recruiterName	Recruiter name
scrapedAt	UTC timestamp when scraped

Sample output

{
  "id": "110924500001",
  "title": "Python Developer - Django / FastAPI",
  "url": "https://www.naukri.com/job-listings-python-developer-django-fastapi-110924500001",
  "companyName": "Infosys",
  "companyRating": 3.6,
  "companyReviewCount": 42850,
  "location": "Bangalore, Hyderabad",
  "experience": "3 - 7 Yrs",
  "salary": "8-15 Lacs PA",
  "skills": ["Python", "Django", "FastAPI", "REST API", "PostgreSQL"],
  "industry": "IT Services & Consulting",
  "role": "Software Development - Back End",
  "postedDate": "2 days ago",
  "logoUrl": "https://img.naukimg.com/logo_images/groups/v1/infosys.gif",
  "vacancies": 5,
  "applyCount": 147,
  "scrapedAt": "2026-04-13T12:00:00Z"
}

FAQ

Do I need a Naukri account? No. The scraper works against Naukri's public search — no login, cookies, or authentication.

Do I need to configure a proxy? No configuration needed — an India RESIDENTIAL proxy is hardcoded and applied automatically. Naukri uses Akamai bot protection that blocks Apify datacenter IPs and most non-Indian residential pools, so the scraper combines patchright stealth Chromium with RESIDENTIAL/IN traffic. Sessions are rotated automatically (up to 5 attempts) on transient blocks.

How many jobs can I get per run? Up to 800 jobs per run (40 pages × 20 jobs). For more, split your search by location, keyword, or salary range.

How fresh is the data? Every run pulls live data directly from Naukri, so the data is as current as Naukri's search results.

Can I filter by experience or salary? Yes — use the structured filter fields or paste a Naukri URL that already has the filters applied.

What cities are supported? All Naukri-supported cities — bangalore, delhi-ncr, mumbai, hyderabad, chennai, pune, kolkata, ahmedabad, and many more.

What happens if a job has missing data? Missing fields are omitted entirely — no null or empty values pollute the dataset.

Use cases

• Recruitment agencies: build talent pipelines and track competitor openings
• Job seekers: automate job discovery matching your skills
• HR analytics: salary benchmarking and market demand analysis
• Data science projects: train ML models on India's hiring trends
• Market researchers: monitor hiring activity across industries and cities

Notes

• Pricing is configured in the Apify UI (pay-per-event or pay-per-result).
• The scraper visits the Naukri homepage as a warmup before each search to seed Akamai cookies, then navigates to the search URL and intercepts the jobapi/v3/search response. If the homepage warmup is blocked or the API call fails to fire, the session is rotated to a fresh residential IP automatically.
• The Apify daily test run uses maxItems=5 against the default python-developer-in-bangalore search.