Naukri.com Job Scraper [$5/1K💰] | India Jobs · Salary Data
Pricing
from $5.00 / 1,000 results
Naukri.com Job Scraper [$5/1K💰] | India Jobs · Salary Data
Extract Indian job listings from Naukri.com — India's #1 job board. Get titles, companies, salary ranges (INR), experience, skills, recruiter names, and full descriptions across Bangalore, Mumbai, Delhi and Hyderabad. Ideal for Indian salary benchmarking and recruitment research.
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from $5.00 / 1,000 results
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Ahmed Jasarevic
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17 hours ago
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Naukri.com Job Scraper — Indian Job Listings, Salary & Skills Data
Scrape Naukri.com — India's #1 job board — to build a structured India jobs dataset for recruitment research, Indian salary benchmarking, and skills-demand analysis. Extract job titles, companies, salary ranges (INR), experience required, locations across Indian cities, key skills, posted dates, full descriptions, recruiter names, vacancy counts, and AmbitionBox-style company ratings — all as clean JSON/CSV/Excel, no login or API key required.
Main Use Cases
- Indian salary benchmarking — aggregate salary ranges and CTC by role, seniority and city
- Skills-in-demand analysis — mine the
skillsfield across thousands of postings to see which technologies and roles Indian employers are hiring for - IT jobs India data & labour-market research — track hiring volume and trends across Bangalore, Mumbai, Delhi/NCR, Hyderabad, Pune, Chennai and more
- Recruitment lead generation — build lists of companies actively hiring (with recruiter names on detail scrapes) for staffing firms and HR-SaaS outreach
- Job aggregation — power a niche Indian job board or job-matching product with clean listings
- Competitive hiring intelligence — monitor which companies are expanding, in which functions and cities
Collect Indian Job Market Data Without An Official Naukri API
Naukri.com does not offer a public job-listing API. This actor crawls Naukri's public search results
and, optionally, individual job pages, then returns every listing as one flat, normalized row. It
handles pagination automatically (via maxItems / maxPagesPerSearch) and fans out across every
keyword × city combination you provide. Because Naukri is protected by Akamai Bot Manager, the
actor uses Playwright-based, Akamai-friendly techniques and Apify's residential proxy — set the
proxy country to IN (India) for the most reliable results.
Input
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
searchKeywords | string/array | Yes | — | Job titles, skills, or roles to search, e.g. "data analyst" or ["java developer", "devops"] |
locations | string/array | No | ["india"] | City/area to narrow search, e.g. "bangalore", ["mumbai","pune"]; india searches all of India |
maxItems | number | No | 50 | Max results across all searches; max 1000 |
includeJobDetails | boolean | No | true | Open each job's detail page for the full description, recruiter name and extra fields |
maxPagesPerSearch | number | No | 5 | Max result pages per keyword×city search; max 50 |
maxConcurrency | number | No | 2 | Concurrent page requests; max 5 |
proxy | object | No | Apify residential | Use Apify residential (recommend countryCode: "IN") or your own proxies |
Example Input
{"searchKeywords": "data analyst","locations": ["bangalore", "mumbai", "pune"],"maxItems": 200,"includeJobDetails": true}
Output
Each scraped job is one dataset record. Core fields (from search results) include title,
company, location, salary (INR), experience, skills, postedDate, jobUrl; with
includeJobDetails: true you also get the full description, recruiter name, vacancyCount,
company rating/review counts and more. Records are honest about salary — many Naukri postings do not
disclose pay, and that is reflected in the output as given by the source.
Example Output
{"title": "Data Analyst","company": "Tata Consultancy Services","location": "Bangalore / Bengaluru","salary": "4-8 LPA","experience": "2-5 Yrs","skills": ["SQL", "Python", "Power BI", "Excel"],"postedDate": "5 days ago","jobUrl": "https://www.naukri.com/job-details/...","recruiter": "Priya Sharma"}
Scheduling, Monitoring & Automation
Recommended for real value: run on a weekly schedule (or daily for hiring-velocity tracking) to monitor new postings, salary shifts and skills demand over time. Results are available via the Apify API, can be streamed with webhooks, and export directly to CSV/JSON/Excel for your spreadsheets, dashboards, or ATS/CRM.
Related Actors
- Reed.co.uk Job Scraper (own) — UK job listings, salary and talent data
- SEEK Job Scraper (own) — Australia & New Zealand job listings, salary and labour-market data
- LinkedIn Jobs Scraper (
apify) — the authoritative global job dataset
Together these cover the three largest English-language job markets — India, UK, and AU/NZ.
FAQ
Why use this actor instead of the Naukri API?
Naukri.com has no public API for job listings. This actor delivers the same structured data by crawling the public site, and it solves the two things that make manual Naukri scraping hard: Akamai Bot Manager protection (handled via Playwright stealth) and rate/geo blocking (handled via India residential proxies). You get a clean, normalized India jobs dataset without maintaining a scraping stack.
What are the alternatives to this actor?
- Naukri alternatives on Apify include several community Naukri scrapers and the global LinkedIn Jobs Scraper and Indeed Job Scraper for broader job coverage.
- To extend Indian coverage you can combine this actor with a company-ratings source (the output already includes company rating/review counts).
How do I benchmark Indian salaries from Naukri data?
Aggregate the salary (INR) and experience fields by job title and city across a large run
(e.g. maxItems: 1000) to build salary bands. Note many Indian employers do not disclose pay, so
use disclosed ranges alongside skills and seniority as the salary signal.
How do I find in-demand skills in the Indian job market?
Run a high maxItems search across the skill keywords you care about (or broad role titles) and
analyze the skills arrays to see which technologies appear most across active postings.
How do I bypass Naukri Akamai bot protection?
The actor handles Akamai automatically with Playwright-based stealth. Use Apify residential proxy
with countryCode: "IN" for the most reliable results; non-India traffic is scored more harshly.
For AI Agents & LLM Apps
Purpose: Extracts structured Indian job listings from Naukri.com and returns one record per job (title, company, location, salary INR, experience, skills, postedDate, jobUrl, optional full description + recruiter).
Minimal working input (searchKeywords is the only required field):
{ "searchKeywords": "data analyst", "maxItems": 50 }
Typical input (multi-city research):
{ "searchKeywords": ["java developer", "devops"], "locations": ["bangalore", "pune"], "maxItems": 500, "includeJobDetails": true }
Output fields: title, company, location, salary, experience, skills, postedDate,
jobUrl (search level); plus description, recruiter, vacancyCount, company rating and review
counts when includeJobDetails: true.
Behaviors an agent should know:
searchKeywordsis required — the actor will not run without it.maxItemscaps the whole run (default 50, max 1000); leave unset for quick preview, raise for a full dataset. Each returned job is billed.locationsdefaults to["india"](all of India); pass specific cities for targeted data.includeJobDetails: true(default) opens each job's detail page — more accurate but slower/more requests; setfalsefor fast bulk search summaries.- Use Apify residential proxy with
countryCode: "IN"for the most reliable results against Naukri's Akamai protection. - Salary is often not disclosed by Indian employers on Naukri; treat
salaryas source-provided, not guaranteed.
Billing: pay-per-result at $0.005 per job (~$5 per 1,000 jobs), plus a small start event fee.
Legal & Compliance Disclaimer
This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Naukri or Info Edge (India) Ltd. It accesses only publicly available Naukri job pages — it does not bypass logins or solve CAPTCHAs. As with all web scraping, you are responsible for your own compliance with Naukri's Terms of Service and applicable law — including India's Digital Personal Data Protection Act (DPDP) 2023 — especially when the output includes recruiter contact names. Recruiter and company data collected here should not be used for unsolicited commercial outreach that violates applicable anti-spam or data-protection law. This summary is informational, not legal advice.
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