Naukri Job Scraper

Scrape job listings from Naukri.com — India's largest job portal. Extract job titles, company details, salary ranges, experience requirements, skills, location, and more. No login required.

Built for recruiters, job market analysts, data scientists, and anyone who needs structured job data from Naukri without manual browsing.

What can Naukri Job Scraper do?

• Search by URL — Paste Naukri search result URLs like https://www.naukri.com/react-developer-jobs-in-bangalore?experience=2-5 and get structured data back. URLs are parsed automatically to extract keyword, location, and filters.
• Search by keyword + filters — Provide a keyword, location, experience range, salary range, job age, employment type, or company name directly.
• Batch multiple searches — Combine URL-based and keyword-based searches in a single run. URLs are processed first, followed by keyword queries.
• Automatic deduplication — Duplicate job listings across multiple searches are skipped, keeping your dataset clean.
• Pagination — The scraper automatically pages through results up to your specified limit.
• Proxy support — Optional Apify proxy integration to avoid IP-based rate limiting.

What data can you extract from Naukri?

Field	Description
jobId	Unique 12-digit job identifier
title	Job listing title
companyName	Name of the hiring company
companyId	Numeric company identifier
tagsAndSkills	Comma-separated skills (e.g. Java, React.js, Angular)
jobDescription	Brief job description / summary
experienceLabel	Formatted experience range (e.g. "3-8 Yrs")
minimumExperience / maximumExperience	Experience range in years
salaryLabel	Salary text (e.g. "Not disclosed", "6-10 Lakhs")
salaryCurrency	Currency code (INR)
locationLabel	Job location (e.g. "Bangalore", "Hybrid - Pune, Chennai")
postedAt	Relative posting time (e.g. "2 Days Ago")
createdDate	Epoch timestamp in milliseconds
walkinJob	Whether this is a walk-in interview
logoUrl	Company logo image URL
ambitionBoxRating	Company rating from AmbitionBox
ambitionBoxReviews	Number of AmbitionBox reviews
jdURL	Path to the full job description page
searchUrl	Source URL that produced this result (only for URL-based searches)

How to scrape Naukri.com with Naukri Job Scraper

1. Open the Actor — Go to the Naukri Job Scraper page on Apify Console.
2. Enter your search. You have two options:
   • URLs: Paste one or more Naukri search URLs into the startUrls field. Filters like ?experience=2-5&salary=10to15 in the URL are applied automatically.
   • Keyword + filters: Fill in keyword, location, and optional filters such as experience, jobAge, ctcFilter, jobTypeFilter, or companyName.
3. Set limits — Adjust maxResultsPerQuery to control how many jobs to scrape per URL or keyword combination.
4. Run — Click "Run" and wait for the scraper to finish.
5. Export — Download results as JSON, CSV, or Excel, or access them via API.

Example input

Example output

{
  "jobId": "020726002906",
  "title": "React Developer opening with CAPCO",
  "companyName": "Capco",
  "companyId": 114714,
  "tagsAndSkills": "Java,React.js,Angular,Full Stack,Stack,Development",
  "experienceLabel": "8-13 Yrs",
  "minimumExperience": "8",
  "maximumExperience": "13",
  "salaryLabel": "Not disclosed",
  "salaryCurrency": "INR",
  "locationLabel": "Hybrid - Pune, Chennai, Bengaluru",
  "postedAt": "2 Days Ago",
  "createdDate": 1782963833574,
  "walkinJob": false,
  "ambitionBoxRating": "3.8",
  "ambitionBoxReviews": 705,
  "searchUrl": "https://www.naukri.com/react-developer-jobs-in-bangalore?experience=2-5"
}

Input fields

Field	Type	Required	Description
startUrls	string[]	No*	Array of Naukri search URLs. Each URL is parsed for keyword, location, and filters (experience, salary, company, jobAge) from its query string.
keyword	string	No*	Job title, skill, or company to search for.
location	string	No	City or area. Used together with keyword.
experience	string	No	Experience range, e.g. 2-5. Used together with keyword.
maxResultsPerQuery	int	No	Max jobs per URL or keyword query (default: 50; 0 = unlimited).
sort	select	No	relevance or date. Used together with keyword.
jobAge	select	No	Freshness filter: 1, 3, 7, 15, or 30 days. Used together with keyword.
ctcFilter	select	No	Salary range: 0to3, 3to6, 6to10, 10to15, 15to25, 25to50, 50to75, 75to100, 100to500. Used together with keyword.
jobTypeFilter	select	No	Employment type: P (Permanent), C (Contract), V (Contractual), T (Temporary), I (Internship). Used together with keyword.
companyName	string	No	Filter by company name. Used together with keyword.
proxyConfig	object	No	Apify proxy configuration.

Is it legal to scrape Naukri.com?

This scraper accesses the same data that is publicly available on Naukri.com's search results pages.

Please note:

• This tool only extracts publicly listed job information (titles, companies, salaries, skills).
• No private user data, emails, or phone numbers are collected.
• Respect Naukri's robots.txt and terms of service.
• Use reasonable rate limits, and consider using proxies for large-scale scraping.

Why use this instead of the official Naukri API?

Naukri doesn't offer a public search API for job listings. This scraper works as an unofficial API, getting you the data you need.

FAQ

Do I need to log in to Naukri? No, the scraper works without authentication!

How many results can I get? The API returns whatever Naukri has matching your search. Set maxResultsPerQuery to your desired limit per query. With the default of 50, and with premium or residential proxies enabled, you can scrape thousands of results across multiple queries.

Can I scrape full job descriptions? Each result includes a jdURL field pointing to the full job description page on Naukri. The search API itself only returns a brief jobDescription summary — the full text is available at that URL.

The scraper hit a rate limit. What do I do? Enable Apify proxy with residential proxies in the proxyConfig input field. The API rate-limits by device ID and IP, so rotating proxies helps avoid blocks.

Can I run this on a schedule? Yes. Apify supports scheduling — set the scraper to run daily or weekly to track new job postings over time.

Apify platform features

• Scheduling — Run automatically on a cron schedule.
• API access — Trigger runs and retrieve data via REST API.
• Integrations — Connect to Zapier, Make, n8n, Google Sheets, Slack, and more.
• Cloud storage — Results are stored in Apify datasets (JSON, CSV, Excel, HTML).
• Webhooks — Get notified when runs complete.

Support

For issues, feature requests, or questions, open an issue on the GitHub repository or contact the author on the Apify platform.