Naukri Jobs Scraper — India Job Listings API

Disclaimer: Unofficial tool for publicly accessible Naukri job listings. Naukri, Naukri.com, AmbitionBox, and related names are trademarks of their respective owners. Not affiliated with, sponsored by, or endorsed by Info Edge (India) Ltd. For informational, research, aggregation, and recruiting-intelligence use only. Respect applicable terms of use and law.

Scrape Naukri job listings from India’s largest job board — a practical Naukri API alternative and India jobs scraper for structured data. Search by keyword, city, filters, or paste listing start URLs. Export title, employer, location, salary (INR and LPA), experience, skills, work mode, AmbitionBox ratings, posted dates, and job URLs via fast HTTP — no headless browser. Use from Python, Node.js, cURL, or Apify MCP / AI assistants.

Ideal for India job board aggregation, salary benchmarking, recruiting intelligence, employer lead generation, and tech hiring research across Bangalore, Mumbai, Hyderabad, Pune, Delhi NCR, and remote roles.

When to use this Actor

• You need a Naukri scraper / Naukri.com scraper that returns structured JSON
• You want keyword + city + Naukri filters without maintaining your own crawler
• You need salary, skills, experience, and AmbitionBox ratings as first-class fields
• You want to scrape Naukri with Python, Node.js, or MCP and export a dataset

When not to use this Actor

• Non-Indian job portals — this Actor covers Naukri.com only
• Guaranteed emails or phones — public listing cards rarely include direct contacts
• Login-walled apply-form automation — public search data only
• Historical archives — currently listed jobs only

Key Features

• Keyword + city search — position, location, optional extra locations (pooled and deduplicated)
• Start URL parsing — paste Naukri listing URLs; experience, jobAge, ctcFilter, wfhType query params map automatically
• Naukri filters — experience, freshness, CTC band, work mode (remote / hybrid / office), employment type, company name, sort
• Structured salary — INR min/max plus LPA when Naukri discloses CTC (not guessed from HTML)
• Skills array + AmbitionBox — ratings and review counts from the search payload
• HTTP JSON path — Chrome TLS impersonation + signed search header; 256–512 MB, no Playwright
• Deduplicated job IDs across pages and multi-city runs
• Apify Proxy ready — IN residential recommended on the platform
• MCP / AI ready — call from assistants via Apify MCP

Use Cases

Use case	What you get
Job aggregation	Fresh Naukri openings into a board / search index
Salary benchmarking	Disclosed CTC bands in INR and lakhs for a role × city
Recruiting intelligence	Competitor vacancy monitoring for target Indian roles
Employer lead gen	Companies (and consultants) actively hiring in a segment
Skills demand	Required skills arrays for Python, Java, sales, and more
Remote / hybrid tracking	Work-mode flags parsed from Naukri location labels

Quick Start

Keyword + city:

{
  "position": "Python developer",
  "location": "Bangalore",
  "maxItems": 50,
  "jobAge": "7",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Listing start URL (filters in the query string are applied):

{
  "startUrls": [
    { "url": "https://www.naukri.com/python-developer-jobs-in-bangalore?experience=2-5&jobAge=7" }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Multi-city + remote filter:

{
  "position": "data scientist",
  "location": "Bangalore",
  "locations": ["Hyderabad", "Pune"],
  "workMode": "hybrid",
  "ctcFilter": "15to25",
  "sort": "date",
  "maxItems": 150
}

Input Parameters

Parameter	Type	Default	Description
position	String	—	Keywords / job title
location	String	—	City / region
locations	Array	—	Extra cities (one Naukri search each)
startUrls	Array	—	Naukri listing URLs
experience	String	—	Min years (3) or range (2-5)
jobAge	String	any	1 / 3 / 7 / 15 / 30 days
ctcFilter	String	any	CTC band, e.g. 10to15
workMode	String	any	remote / hybrid / office
jobTypeFilter	String	any	P permanent, C contract, I internship
companyName	String	—	Company name filter
sort	String	relevance	relevance or date
maxItems	Integer	100	Max jobs (0 = unlimited subject to maxPages)
maxPages	Integer	20	Pagination safety cap (max 50)
proxyConfiguration	Object	IN residential	Strongly recommended on Apify

Output Format

Each dataset item is one job listing.

Field	Type	Description
jobId	String	Naukri job id
url	String	Job detail URL
title	String	Job title
employer	String	Company name
employerId	String	Company id
employerUrl	String	Naukri company jobs page
hiringFor	String	End client when a consultant posts the role
location	String	Location text
workMode	String	hybrid / remote / office when detected
experienceText	String	e.g. 3-7 Yrs
experienceMin / experienceMax	Integer	Years
salaryNote	String	e.g. 5-15 Lacs PA (null if not disclosed)
salaryMin / salaryMax	Integer	INR annual when disclosed
salaryLakhsMin / salaryLakhsMax	Number	LPA
skills	Array	Skill labels
description	String	Listing snippet
postedAt	String	ISO timestamp
postedAtRelative	String	e.g. 2 Days Ago
companyRating	Number	AmbitionBox aggregate
companyReviewsCount	Integer	AmbitionBox reviews
vacancy	Integer	Openings when published
source	String	Always naukri

Example row:

{
  "jobId": "100626018934",
  "url": "https://www.naukri.com/job-listings-python-developer-dynpro-bengaluru-5-to-10-years-100626018934",
  "title": "Python developer",
  "employer": "Dynpro",
  "hiringFor": "IBM",
  "location": "Bengaluru",
  "workMode": null,
  "experienceText": "5-10 Yrs",
  "experienceMin": 5,
  "experienceMax": 10,
  "salaryNote": "5-15 Lacs PA",
  "salaryMin": 500000,
  "salaryMax": 1500000,
  "salaryLakhsMin": 5,
  "salaryLakhsMax": 15,
  "salaryCurrency": "INR",
  "skills": ["Opencv", "Django", "Python", "Postgresql"],
  "companyRating": null,
  "source": "naukri"
}

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/naukri-jobs-scraper').call({
  position: 'Python developer',
  location: 'Bangalore',
  maxItems: 50,
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
    apifyProxyCountry: 'IN',
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/naukri-jobs-scraper").call(
    run_input={
        "position": "Python developer",
        "location": "Bangalore",
        "maxItems": 50,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "IN",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("employer"), item.get("url"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~naukri-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"position":"Python developer","location":"Bangalore","maxItems":50}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/naukri-jobs-scraper.

Example prompts:

• "Run Naukri Jobs Scraper for Python developer in Bangalore, max 50, and return title, employer, salaryNote, url as JSON"
• "Scrape Naukri data scientist jobs in Hyderabad posted in the last 7 days and list top hiring employers"
• "Pull Naukri hybrid product manager openings in Pune and Mumbai, then summarize salary bands"
• "Scrape Naukri sales executive jobs in Delhi posted in the last 3 days and list employers with AmbitionBox ratings"

FAQ

Is this an official Naukri API?
No. It calls the same public search JSON the website uses and returns structured dataset rows — a practical API-style export for pipelines.

Do I need a Naukri login?
No — public listing cards only.

Why IN residential proxy?
Naukri often challenges datacenter IPs (recaptcha / 406). Residential (IN) is the reliable default on the platform.

Does every job include salary?
No. Many Indian listings hide CTC (Not disclosed). When Naukri publishes a band, you get INR min/max and LPA fields.

Python / Node.js / MCP?
Yes — use the Apify client examples above or Apify MCP prompts.

How many jobs per search?
Naukri paginates 20 jobs per page and typically caps around 50 pages (~1,000) per query. Use extra locations or start URLs to cover more.

Can I scrape remote or hybrid Naukri jobs?
Yes — set workMode to remote or hybrid, or pass a listing URL that already includes wfhType.

Does it work as a Naukri scraper from Python?
Yes — use the apify-client example above, or call the Actor from Node.js / cURL / Apify MCP.

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