Naukri Scraper — India Jobs, Salary & Company Ratings

Naukri Scraper — India Job Listings, Salary & Company Ratings

This Naukri scraper extracts job listings from Naukri.com, India's leading recruitment platform with tens of millions of registered professionals and thousands of fresh jobs posted every day. Use this Naukri data extractor to scrape Naukri job titles, hiring companies, structured salary ranges (salaryMin, salaryMax, salaryCurrency), experience requirements, locations, required skills, job descriptions, employment types, and company ratings — all by keyword and city, with no login and no coding.

Bulk export every listing to JSON, CSV, Excel, XML, or API for Naukri lead generation, compensation benchmarking, and B2B intelligence.

💡 Built for: recruiters and talent-intelligence teams, HR and compensation analysts building India CTC salary benchmarks, B2B sales teams mining active hiring signals for lead generation, and labour-market researchers tracking India's job economy across IT, BFSI, GCCs, healthcare, and manufacturing.

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⚡ At a glance

Feature	Details
Data source	Naukri.com — Pan-India job listings across all industries & seniority levels
Captured fields	jobId, title, companyName, salary, salaryMin, salaryMax, salaryCurrency, experience, location, skills, description, employmentType, companyRating, companyTags, postedOn, url
Salary & ratings	Optional enrichment populates numeric INR CTC ranges (salaryMin / salaryMax) + AmbitionBox companyRating
City coverage	17 built-in Indian hubs (Bengaluru, Mumbai, Delhi/NCR, Hyderabad, Pune, Chennai, Gurugram, Noida, etc.) + custom cities
Scale & pagination	1,000+ results pagination (20 jobs/page, automatic cursor stepping, cross-keyword jobId deduplication)
Export formats	JSON, CSV, Excel (XLSX), XML, HTML Table, RSS & direct Apify REST API

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📋 Table of contents

• At a glance
• Why scrape Naukri.com?
• What this Naukri scraper does
• Use cases
• Popular India job markets & roles
• Input
• Output
• Pagination & scale
• How to use
• Integrations & automation
• Tips & best practices
• FAQ
• Related scrapers
• Changelog

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🔎 Why scrape Naukri.com?

Naukri.com is India's dominant job portal — where virtually every major employer posts openings, from IT-services giants like TCS, Infosys, Wipro, and HCL to global capability centers (GCCs), Fortune 500 engineering hubs, and fast-growing startups in Bengaluru, Hyderabad, Pune, Gurugram, and Mumbai. Across IT services, software product, BFSI, manufacturing, healthcare, pharma, retail, and education, Naukri is the single most comprehensive source of Indian job-market data.

That data is spread across millions of individual listings, each with its own CTC salary band, skill set, experience requirement, and employer profile. Collecting it by hand — opening every listing, copying the salary, the skills, the posting date — is slow, error-prone, and impossible at scale. This Naukri scraper turns that sprawling job board into clean, structured, analysis-ready rows you can drop straight into a spreadsheet, CRM, data warehouse, or BI dashboard.

The real value is in the structured detail: numeric salary ranges, company ratings, and required skills that power compensation benchmarks, hiring-demand trackers, and B2B prospecting lists.

Common reasons teams scrape Naukri:

• 📊 Salary benchmarking — build compensation bands by role, city, and experience level from real CTC ranges (Lacs P.A. and raw INR).
• 🔎 Recruitment intelligence — track which technical skills and roles are surging across Indian cities in real time.
• 🏢 Competitive hiring analysis — map which roles rivals and GCCs are filling, at what pay, and in which locations.
• 🎯 B2B lead generation — every job posting is a verified buying signal for staffing agencies, HR-tech SaaS, cloud vendors, and corporate training providers.
• 📈 Labour-market & macroeconomic research — study employment trends by sector, tier-1 vs tier-2 cities, and skill category.
• 🗂️ Job boards & aggregators — power niche vertical job portals with fresh, structured India job listings.

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✨ What this Naukri scraper does

• ✅ Multi-keyword search — pass any number of job titles, roles, skills, or company names (e.g. python developer, data analyst, sales manager, Infosys). Each keyword runs its own paginated search.
• ✅ City targeting — focus results on one or more Indian cities (Bengaluru, Mumbai, Delhi/NCR, Hyderabad, Pune, Chennai, Kolkata, Gurugram, Noida, Ahmedabad, Kochi, Jaipur, Indore, Chandigarh, Coimbatore, Lucknow, Remote) or leave empty for pan-India coverage. Advanced users can add any custom city.
• ✅ 1,000+ automatic pagination — walks the Naukri result pages (20 jobs per page) and keeps collecting up to your maxItemsPerSearch / maxTotalItems limits, returning de-duplicated records so the same job never appears twice across keywords.
• ✅ Salary & company ratings enrichment — with enrichSalary: true, each job is enriched with structured salary ranges (salaryMin / salaryMax / salaryCurrency), company ratings, full skills, and job description.
• ✅ Rich captured fields — identity (jobId, title, url), employer (companyName, companyRating, companyTags), compensation (salary, salaryMin, salaryMax, salaryCurrency), role detail (experience, location, skills, description, employmentType), and provenance (postedOn, searchKeyword, scrapedAt).
• ✅ Direct URLs — startUrls lets you paste ready-made Naukri search URLs you already have.
• ✅ Bulk export anywhere — results stream to a dataset you can download as JSON, CSV, Excel, or XML, or pull via the Apify API and pipe into Make, Zapier, Google Sheets, or a webhook.

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🎯 Use cases

1. B2B Lead Generation & Staffing Outreach

Companies actively posting roles on Naukri have approved headcount and budget. Group scraped listings by companyName, filter for high-growth tags (MNC, Startup, Fortune 500) or specific tech stacks (AWS, Kubernetes, Snowflake, SAP), and feed your SDR or staffing team a daily list of verified hiring accounts.

2. India CTC Compensation & Salary Benchmarking

With enrichSalary: true, the scraper captures both the formatted CTC label ("4.0-5.0 Lacs P.A.") and raw annual INR integers (salaryMin: 400000, salaryMax: 500000). Pivot by location and experience in Excel or Python to compare engineering, finance, or operations pay across Bengaluru, Hyderabad, Pune, and Delhi/NCR.

3. Global Capability Center (GCC) & Competitor Monitoring

Pass competitor company names in searchKeywords ("JPMorgan", "Goldman Sachs", "Target", "Walmart", "TCS", "Infosys"). Schedule weekly runs to track headcount expansion, new technology adoption, and regional office build-outs.

4. Skill Demand & Curriculum Intelligence

EdTech platforms, universities, and workforce planners analyze the comma-separated skills field across thousands of postings to identify which frameworks, cloud certifications, and AI skills command the highest salary premiums.

5. Recruitment Agency Candidate-to-Job Matching

Executive search firms and staffing agencies schedule automated runs across their core practice areas (e.g. SAP FICO, Salesforce Architect, Full Stack Java, Chartered Accountant), matching newly posted requisitions against their bench or candidate database within hours of posting.

6. Private Equity & Venture Capital Due Diligence

Investment analysts track portfolio companies and acquisition targets on Naukri to measure hiring velocity, engineering-to-sales ratios, and geographic expansion across Tier-1 and Tier-2 Indian cities before quarterly numbers are reported.

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🔑 High-intent SEO & search keywords

This actor is designed for teams searching for: Naukri scraper, scrape Naukri, Naukri.com job scraper, Naukri data extractor, Naukri API alternative, Naukri lead generation, India job portal scraper, Indian salary benchmark data, CTC range extractor, AmbitionBox rating scraper, bulk export Naukri jobs JSON CSV Excel, 1,000+ results pagination, and B2B recruitment intelligence.

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🏙️ Popular India job markets & roles

You can combine any role keyword with any Tier-1 or Tier-2 Indian city:

Hub / City	Key Sectors & Typical Searches
Bengaluru (Bangalore)	Software Product, AI/ML, Cloud, DevOps, Semiconductor, Startups, GCCs
Hyderabad	Enterprise IT, Pharma & Life Sciences, Cloud Engineering, Data Science
Mumbai & Navi Mumbai	BFSI, Investment Banking, FinTech, Media, Enterprise Sales, Operations
Delhi / NCR (Gurugram & Noida)	E-commerce, Consulting, BPO/KPO, Telecom, Digital Marketing, Product Management
Pune	Automotive Engineering, Manufacturing, Enterprise SaaS, ERP/SAP
Chennai	SaaS, Core Engineering, Hardware, Automobile, Financial Back-Office
Tier-2 Hubs (Ahmedabad, Kochi, Jaipur, Indore, Chandigarh, Coimbatore)	IT Services, Regional Sales, Accounting, Customer Support, Operations

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📥 Input

Configure the scraper with a few simple fields. Leave keywords empty to get a ready-made mix of popular India job categories.

Field	Type	Description
searchKeywords	array<string>	Job titles, roles, skills, or company names to search — e.g. python developer, data analyst, marketing manager. Each entry runs its own search. Empty = a ready-made popular mix.
locations	array<string>	One or more Indian cities from the picker (Bengaluru, Mumbai, Delhi/NCR, Hyderabad, Pune, Chennai, Kolkata, Gurugram, Noida, Ahmedabad, Kochi, Jaipur, Indore, Chandigarh, Coimbatore, Lucknow, Remote). Empty = all of India.
customLocations	array<string>	Advanced. Any city not in the picker, typed by name (e.g. Nagpur, Bhubaneswar, Vadodara).
enrichSalary	boolean	Fetch each job's detail for structured salary ranges (salaryMin/salaryMax) and company ratings. Default true.
maxItemsPerSearch	integer	How many jobs to collect per keyword. 0 = no per-keyword limit (supports 1,000+ jobs). Default 100.
maxTotalItems	integer	Overall cap across all keywords. 0 = unlimited. Default 0.
proxyConfiguration	object	Proxy settings. India-based residential proxies (apifyProxyCountry: "IN") are configured by default for reliable access.
startUrls	array<string>	Advanced. Paste ready-made Naukri search URLs (e.g. https://www.naukri.com/python-developer-jobs-in-bengaluru).

Example input — multi-role tech scan (1,000+ scale)

{
  "searchKeywords": [
    "python developer",
    "java developer",
    "data scientist",
    "devops engineer",
    "react developer",
    "product manager"
  ],
  "locations": ["Bengaluru", "Hyderabad", "Pune", "Mumbai"],
  "maxItemsPerSearch": 250,
  "maxTotalItems": 1200,
  "enrichSalary": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Example input — single-company hiring tracker

{
  "searchKeywords": ["Tata Consultancy Services", "Infosys", "Wipro"],
  "maxItemsPerSearch": 300,
  "enrichSalary": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

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📤 Output

Each job is saved as one structured record in the Apify Dataset. Example output item:

{
  "jobId": "240626008807",
  "title": "Talent Acquisition Operations Specialist",
  "companyName": "Applied Materials",
  "salary": "4.0-5.0 Lacs P.A.",
  "salaryMin": 400000,
  "salaryMax": 500000,
  "salaryCurrency": "INR",
  "experience": "3-6 years",
  "location": "Bengaluru",
  "skills": "IT Recruitment, Talent Acquisition, End to End Recruitment, Screening, Sourcing, Contract Staffing",
  "description": "End-to-end recruitment across technical positions, sourcing, screening and offer management...",
  "employmentType": "Full Time, Permanent",
  "companyRating": 3.8,
  "companyTags": "MNC, Fortune 500",
  "postedOn": "2026-06-24 10:36:12.0",
  "url": "https://www.naukri.com/job-listings-talent-acquisition-operations-specialist-240626008807",
  "searchKeyword": "python developer",
  "scrapedAt": "2026-11-02T00:51:40.000Z"
}

Field reference & coverage

🏷️ Job Identity & Employer

Field	Coverage	Description
jobId	🟢 High (100%)	Unique Naukri job identifier (natural key used for cross-search de-duplication).
title	🟢 High (100%)	Job title / position name.
companyName	🟢 High (100%)	Hiring company or recruitment firm name.
companyRating	🟡 Conditional	AmbitionBox aggregate company rating on a 1–5 scale (present when the company has reviews and enrichSalary: true).
companyTags	🟡 Conditional	Company segment tags (e.g. MNC, Fortune 500, Forbes Global 2000).
url	🟢 High (100%)	Direct link to the job listing on Naukri.com.

💰 Compensation & Experience

Field	Coverage	Description
salary	🟡 Conditional	Formatted annual CTC range, e.g. "5.0-10.0 Lacs P.A." (populated when disclosed by employer or via enrichment).
salaryMin	🟡 Conditional	Minimum annual salary in raw INR (e.g. 500000).
salaryMax	🟡 Conditional	Maximum annual salary in raw INR (e.g. 1000000).
salaryCurrency	🟡 Conditional	Salary currency code, typically "INR".
experience	🟢 High (98%+)	Required experience range, e.g. "2-5 years" or "0-2 years".

🛠️ Skills, Role Details & Metadata

Field	Coverage	Description
location	🟢 High (95%+)	Normalized Indian city / location list (Bengaluru, Mumbai, Hyderabad, Remote, etc.).
skills	🟢 High (95%+)	Required technical and functional skills, comma-separated.
description	🟢 High (95%+)	Job description summary or enriched role description.
employmentType	🟡 Conditional	Contract type (Full Time, Permanent, Part Time, Contract, Internship).
postedOn	🟢 High	Listing publication timestamp as reported by Naukri.
searchKeyword	🟢 High (100%)	The keyword that discovered this job listing.
scrapedAt	🟢 High (100%)	ISO 8601 extraction timestamp.

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🔁 Pagination & scale

The scraper paginates Naukri's search results automatically to support 1,000+ results pagination:

• Requests 20 jobs per page, increments the pageNo cursor, collects and de-duplicates results by jobId, and stops when it reaches your maxItemsPerSearch budget for the keyword, exhausts the available pages, or hits the global maxTotalItems cap.
• When you run with default keywords and pass an explicit maxTotalItems or maxItemsPerSearch (e.g. 1000), the actor honors your requested target across all searches without artificial caps.
• Run multiple keywords and/or multiple cities in one job to assemble thousands of de-duplicated listings in a single dataset.

⚠️ Proxy requirement (important): Naukri geo-fences job search results to India (IN) and applies active anti-bot challenges on non-Indian or datacenter traffic. Always keep Apify Residential Proxy (apifyProxyCountry: "IN") enabled (set as the default in input schema) for reliable extraction.

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⚙️ How to use

1. Open the actor on the Apify Console and enter your searchKeywords and optional locations.
2. Keep the default proxy (RESIDENTIAL, country IN).
3. Set your limits (maxItemsPerSearch and maxTotalItems) and toggle enrichSalary.
4. Click Start — run on-demand or schedule recurring daily/weekly runs.
5. Export the dataset as JSON, CSV, Excel, or XML, or consume it via the Apify API.

Run via API (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const run = await client.actor('haketa/naukri-scraper').call({
    searchKeywords: ['python developer', 'data engineer'],
    locations: ['Bengaluru', 'Hyderabad'],
    maxItemsPerSearch: 100,
    enrichSalary: true,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
        apifyProxyCountry: 'IN',
    },
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} Naukri job listings.`);

Run via API (Python)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run = client.actor("haketa/naukri-scraper").call(run_input={
    "searchKeywords": ["data analyst", "machine learning engineer"],
    "locations": ["Bengaluru", "Pune"],
    "maxItemsPerSearch": 100,
    "enrichSalary": True,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "IN",
    },
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "|", item["companyName"], "|", item.get("salary"))

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🔌 Integrations & automation

Connect this Naukri scraper directly into your recruitment or GTM stack:

• Google Sheets & Airtable — sync fresh Indian job postings into shared tracking sheets automatically.
• Make, Zapier & n8n — trigger enrichment workflows (Apollo, Clay, Hunter) whenever a target company posts a new role.
• Slack & Email alerts — notify account executives or sourcers when key accounts post urgent openings.
• Snowflake, BigQuery & PostgreSQL — stream historical compensation and skill-demand datasets via webhook or REST API.

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💡 Tips & best practices

• Indian job titles differ from Western ones — "Software Developer" often returns higher volume than "Software Engineer"; "Delivery Manager" is standard in IT services; "Fresher" and "Walk-in" target entry-level cohorts.
• Combine role + technology — java developer, python developer, react developer, sap abap consultant return more targeted results than generic terms.
• Search by company — put employer names in searchKeywords (Tata Consultancy Services, Infosys, Accenture) to track a specific company's hiring footprint.
• Enrichment trade-off — enrichSalary: true adds a detail request per job (populating salaryMin/salaryMax and companyRating); for ultra-fast title/company discovery at high volume, set enrichSalary: false.
• Target 2–4 cities per run for clean regional comparisons, or leave locations empty for pan-India coverage.

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❓ FAQ

Do I need an India proxy or login to scrape Naukri?

No login is required. However, Naukri geo-restricts job search results to India-geolocated IPs and blocks standard datacenter ranges. Using Apify Residential Proxy with country IN (the default setting) is strongly recommended.

How many jobs can I extract in a single run?

There is no hard cap — Naukri lists millions of openings and the scraper paginates 20 listings per page across all your keywords. Set maxItemsPerSearch and maxTotalItems to 1000+ (or 0 for unlimited) to run large-scale extractions.

Is salary data available for every job?

Not every employer discloses salary publicly on Naukri. Enabling enrichSalary: true significantly increases salary coverage by querying each job's detail metadata for structured minimumSalary and maximumSalary values. Undisclosed salaries are returned cleanly as null.

Can I search by company name or custom Tier-2/Tier-3 city?

Yes. Enter company names in searchKeywords and any non-dropdown Indian city (e.g. Nagpur, Bhubaneswar, Surat, Visakhapatnam) in customLocations.

What export formats are supported?

Results export to JSON, CSV, Excel (XLSX), XML, and HTML from the Apify Console, and are available programmatically via the Apify API.

Does it support remote and work-from-home jobs in India?

Yes. Select Remote in the locations dropdown or include remote / work from home in searchKeywords.

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🔗 Related scrapers

Scaling your job-market and recruitment data beyond India? Pair this Naukri scraper with other job-board scrapers from the Haketa collection:

• Seek Scraper — jobs, salaries and company data from Seek (Australia & New Zealand)
• ZipRecruiter Scraper — US/UK/CA job listings with salary estimates and company details
• Xing Jobs Scraper — DACH (Germany, Austria, Switzerland) job postings and salaries
• GulfTalent Jobs Scraper — Middle East & GCC job listings
• Arbeitsagentur Scraper — Germany's official federal jobs database
• Workana Scraper — freelance projects and remote-work listings

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📋 Changelog

• v1.2 (2026-11) — Unlocked 1,000+ results pagination across keywords and default discovery runs, added startUrls URL parser support, configured default IN residential proxy for out-of-the-box reliability, and expanded README with ⚡ At a glance and field coverage tables.
• v1.1 (2026-10) — Added concurrent batch enrichment (enrichSalary) for structured salaryMin, salaryMax, salaryCurrency, and AmbitionBox companyRating.
• v1.0 (2026-05) — Initial release with pan-India keyword & city search, experience/skill normalization, and jobId deduplication.

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Ready to map India's job market? Add your keywords, keep the India residential proxy enabled, and run the Naukri scraper to export structured jobs, salaries, and company ratings to JSON, CSV, Excel, or API.