🇮🇳 Naukri.com Jobs Scraper

🚀 Pull Indian job listings from Naukri.com in minutes. Title, company, salary, skills, experience, work type, ratings. No login, no API key.

🕒 Last updated: 2026-05-08 · 📊 15+ fields per listing · 🔍 Keyword + location + experience filters · 🚫 No auth required

Pull live job listings from Naukri.com, India's largest job portal. The actor accepts a search keyword plus location, experience, work-type, and sort filters, paginates through results, and returns one structured record per job ready for talent sourcing, recruitment intelligence, salary research, or labor market analysis.

Every run fetches data live so you get the current state of Naukri at run time, not a stale dump. Records include the job title, company name, salary range, required skills, experience range, location, work type (office/remote/hybrid), company rating, post date, full job description, and the canonical Naukri URL.

👥 Built for	🎯 Primary use cases
Indian recruiters	Source candidates and benchmark roles
Recruitment agencies	Build pipelines by skill and location
HR analytics	Track salary bands and demand by skill
Talent acquisition	Monitor competitor hiring activity
Researchers	Study Indian labor market trends
Lead-gen and CRM	Source company contacts for B2B sales

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📋 What the Naukri Scraper does

• 🔍 Keyword search. Pass any Naukri search query (e.g. python developer, data analyst, react).
• 📍 Location filter. Filter by Indian city (bangalore, mumbai, delhi, hyderabad, etc.).
• ⏳ Experience filter. Set minimum years of experience required.
• 🏠 Work type filter. Office, Remote/Work-from-Home, or Hybrid.
• 🔄 Sort options. Relevance or Date Posted.
• 💰 Salary data. Salary range as advertised on the listing.

The scraper walks Naukri's API surface for your filter combination, fetches each job listing, and pushes structured records to the dataset. It runs without a browser for fast, lightweight pulls.

💡 Why it matters: Naukri.com lists millions of Indian jobs but its UI is paginated, JS-rendered, and lacks bulk export. A live, structured pull beats manual sourcing for recruiting, HR analytics, and competitive intelligence at scale.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Greenhouse via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
keyword	string	Search Keyword	Required. Job title or keyword (e.g. python developer, data analyst).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
location	string	Location	Optional. Indian city (e.g. bangalore, mumbai, delhi, hyderabad).
experience	integer	Minimum Experience (years)	Optional minimum experience required.
sortBy	enum	Sort By	relevance or date.
workType	enum	Work Type	office, remote, hybrid, or empty for all.

Example 1. Python developer roles in Bangalore, 3+ years experience.

{
  "keyword": "python developer",
  "location": "bangalore",
  "experience": 3,
  "sortBy": "date",
  "maxItems": 50
}

Example 2. Remote data analyst roles, sorted by relevance.

{
  "keyword": "data analyst",
  "workType": "remote",
  "sortBy": "relevance",
  "maxItems": 100
}

⚠️ Good to Know: the location field is matched as Naukri matches it. Use the standard city slug (e.g. bangalore not bengaluru).

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📊 Output

The dataset returns one structured record per job listing. Each record carries identifiers, title, company, salary, skills, experience, location, work type, company rating, post date, full description, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 jobId	string	230325000123456
📝 title	string	Senior Python Developer
🏢 company	string	Acme Tech Pvt Ltd
⭐ companyRating	number or null	4.2
💰 salary	string	15-25 LPA
📍 location	string	Bangalore
🏠 workType	string	Hybrid
⏳ experience	string	5-8 years
🛠️ skills	array	["Python", "Django", "PostgreSQL", "AWS"]
📃 description	string	We are looking for a Senior Python Developer...
📅 postedAt	ISO datetime	2026-04-12T00:00:00.000Z
📅 postedAgo	string	26d
🔢 applicationsCount	number	1245
🏷️ industry	string	IT Services & Consulting
🔗 jobUrl	string (url)	https://www.naukri.com/job-listings-...
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (senior Python role in Bangalore)

{
  "jobId": "230325000123456",
  "title": "Senior Python Developer",
  "company": "Acme Tech Pvt Ltd",
  "companyRating": 4.2,
  "salary": "15-25 LPA",
  "location": "Bangalore",
  "workType": "Hybrid",
  "experience": "5-8 years",
  "skills": ["Python", "Django", "PostgreSQL", "AWS"],
  "description": "We are looking for a Senior Python Developer with 5+ years of experience...",
  "postedAt": "2026-04-12T00:00:00.000Z",
  "postedAgo": "26d",
  "applicationsCount": 1245,
  "industry": "IT Services & Consulting",
  "jobUrl": "https://www.naukri.com/job-listings-senior-python-developer-acme-tech-bangalore-230325000123456",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Remote data analyst role

{
  "jobId": "230401000234567",
  "title": "Data Analyst",
  "company": "DataPro Solutions",
  "companyRating": 3.8,
  "salary": "8-12 LPA",
  "location": "Remote",
  "workType": "Remote",
  "experience": "2-4 years",
  "skills": ["SQL", "Python", "Tableau", "Excel"],
  "postedAt": "2026-05-01T00:00:00.000Z",
  "postedAgo": "1w",
  "applicationsCount": 567,
  "industry": "Analytics / KPO",
  "jobUrl": "https://www.naukri.com/job-listings-data-analyst-datapro-remote-230401000234567",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (junior listing, minimal fields)

{
  "jobId": "230507000345678",
  "title": "Junior React Developer",
  "company": "Startup XYZ",
  "salary": null,
  "location": "Hyderabad",
  "experience": "0-2 years",
  "skills": ["React", "JavaScript"],
  "postedAt": "2026-05-07T00:00:00.000Z",
  "postedAgo": "1d",
  "jobUrl": "https://www.naukri.com/job-listings-junior-react-developer-startup-xyz-hyderabad-230507000345678",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Naukri.com so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. API-based extraction (no browser) returns results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects Naukri as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured Indian job data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Naukri Jobs Scraper (this Actor)	$5 free credit, then pay-per-use	Full Naukri catalog	Live per run	Keyword, location, experience, work type	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid recruiter ATS feeds	$$$ monthly	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Naukri.com Jobs Scraper page on the Apify Store.
3. 🎯 Set filters. Set a keyword and pick location, experience, and work type, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Talent sourcing Build matched candidate pipelines by skill and city Identify roles with high applicant volume Filter by experience for level-specific outreach Power Indian recruiting workflows at scale	🏢 HR analytics Track salary bands by role and city Map demand by skill and industry Build labor market reports for India Surface remote / hybrid trends
🎯 Competitive intelligence Monitor competitor hiring activity Spot product launches via role types posted Track headcount expansion in target companies Build employer-of-choice ranking by India ratings	🛠️ Engineering and product Prototype talent-marketplace products without owning a crawler Replace fragile in-house Naukri scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Naukri Jobs Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of new job postings. Combine with the Apify dataset diff tools to track new and changed listings between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Naukri.com Jobs Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Naukri.com Jobs Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Naukri.com Jobs Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Naukri.com Jobs Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Naukri.com Jobs Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Naukri.com Jobs Scraper?

Yes. Naukri.com Jobs Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

Naukri Jobs Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 💼 Indeed Scraper - Job listings with compensation and benefits
• 💼 Glassdoor Scraper - Company reviews, salaries, and ratings
• 💼 LinkedIn Profile Scraper - LinkedIn profiles with experience and skills
• 💼 Greenhouse Jobs Scraper - Company-specific Greenhouse postings
• 🏢 IndiaMART Scraper - Indian B2B supplier listings

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Naukri.com or Info Edge (India) Ltd. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and recruitment use. Users are responsible for compliance with the source site's Terms of Service and applicable law.