Naukri Job Scraper — India Jobs, Salaries & Skills

Scrape Naukri.com — India's #1 job portal — into clean JSON, CSV, Excel or XML. Search any keyword and get job title, company, company rating, salary, experience range, required skills, location, posted date and apply URL for every listing. Fast and reliable.

What does the Naukri Scraper do?

The Naukri Scraper extracts job listings from Naukri.com by keyword and location, returning a structured record for every job — role, employer, salary, experience band, skills and freshness. Use it to build hiring datasets, benchmark salaries and skills, or feed recruitment and market-research pipelines across India.

What data can you scrape from Naukri?

• 💼 Job — title, full description, Naukri apply URL
• 🏢 Company — name, ID, AmbitionBox rating + review count, logo
• 💰 Salary & experience — salary label, currency, min/max years
• 🧠 Skills — parsed list of required skills and tags
• 📍 Location — city and work mode (on-site, remote, hybrid)
• 🕐 Freshness — posted label, posted date, walk-in flag

Use cases

• Recruitment & sourcing — build live feeds of open roles for any keyword or city.
• Salary benchmarking — compare salary bands across companies and experience levels.
• Skills research — track which skills employers demand for a role over time.
• Labour-market analysis — measure hiring volume and freshness by city and sector.
• B2B lead generation — identify companies that are actively hiring.
• Competitive intelligence — monitor a competitor's open roles and headcount signals.

How to scrape Naukri data

1. Add the Naukri Scraper to your Apify account.
2. Enter one or more keywords (job titles or search terms), one per line.
3. Optionally set a location, experience filter and sort order.
4. Set maxItemsPerKeyword to cap results, then click Run.
5. Export the dataset as JSON, CSV, Excel or XML, or pull it via the Apify API.

Input

• keywords — job titles / search terms, one per line (e.g. software engineer, data analyst, sales manager)
• location — optional city (e.g. bangalore, mumbai, delhi-ncr)
• experience — optional years-of-experience filter
• sort — Relevance or Freshness
• maxItemsPerKeyword — cap jobs per keyword (20 per page)

Example input

{ "keywords": ["software engineer", "data analyst"], "location": "bangalore", "maxItemsPerKeyword": 200 }

What you get

{
  "id": "290726921897",
  "title": "Software Engineer",
  "company": "Wells Fargo",
  "companyRating": 3.6,
  "companyReviews": 9035,
  "experience": "0-5 Yrs",
  "salary": "Not disclosed",
  "currency": "INR",
  "location": "Bengaluru",
  "skills": ["Java", "Azure", "APIs", "Microservices"],
  "description": "2+ years of software engineering experience…",
  "postedLabel": "1 Day Ago",
  "createdDate": "2026-07-29T11:16:54.791Z",
  "url": "https://www.naukri.com/job-listings-software-engineer-wells-fargo-bengaluru-0-to-5-years-290726921897",
  "sourceUrl": "https://www.naukri.com",
  "collectedAt": "2026-07-30T22:18:54.613Z"
}

Every record has a stable id, sourceUrl, collectedAt and explicit null for missing fields.

Output schema

Field	Type	Description
id	string	Unique Naukri listing identifier for the job.
title	string	Job title / role.
company	string	Name of the hiring company.
companyId	string	Naukri's internal identifier for the company.
companyRating	number	Company's AmbitionBox star rating.
companyReviews	integer	Number of employee reviews behind the rating.
experience	string	Experience requirement label (e.g. 0-5 Yrs).
minExperience	string	Minimum years of experience required.
maxExperience	string	Maximum years of experience considered.
salary	string	Salary label as shown on the listing.
currency	string	Currency code for the salary (e.g. INR).
location	string	Job location / city.
skills	array	List of required skills or tags.
description	string	Job description text.
postedLabel	string	Human-readable posting age (e.g. 1 Day Ago).
createdDate	string (ISO date)	Timestamp when the listing was posted.
mode	string	Work mode (on-site, remote or hybrid).
isWalkin	boolean	Whether the job is a walk-in interview.
logoUrl	string (URL)	Company logo image URL.
url	string (URL)	Direct link to the job listing on Naukri.
sourceUrl	string (URL)	Source site URL.
collectedAt	string (ISO date)	Timestamp when the record was collected.

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FAQ

How many jobs can I scrape? As many as the search returns — set maxItemsPerKeyword to control the volume per keyword.

Do I need any setup or login? No setup and no login. Just add your keywords and inputs, then run.

How does billing work? You pay per result you get — no wasted spend on empty runs.

What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

How fresh is the data? Each run fetches live listings and stamps every record with collectedAt; sort by Freshness for the newest jobs.

Can I filter by location or experience? Yes — use the location and experience inputs to narrow results.

Can I connect it to other tools? The Naukri Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Related Actors

• Remote Jobs Aggregator
• Dice Scraper
• RemoteOK Scraper

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Naukri.com's terms. Not affiliated with Naukri.com or Info Edge.