Naukri India Jobs Scraper

Naukri.com India jobs scraper by keyword + optional location: title, company, experience, city, posted label, job URL, and description — one clean Dataset row per listing. Salary is filled only when Naukri discloses a real figure (rows with “Not disclosed” leave salary empty).

Built for recruiting intel, salary benchmarking, lead gen (IN), and PPE-friendly exports. No browser automation — HTTP + Chrome TLS fingerprint + RSA nkparam + Naukri jobapi/v3/search.

Naukri’s public search UI calls jobapi/v3/search with a short-lived RSA-encrypted nkparam header. This Actor warms a session on the SEO search page, generates a fresh token per request, and paginates until maxJobs. India residential proxy is optional (often works without proxy).

Why this Actor: Keyword + city · Clean schema · No Playwright · Regional SEO (India) · Cheaper than bloated multi-board incumbents · CSV / API / webhooks ready

Store icon: set the Actor icon in Apify Console (PNG not shipped in this repo).

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Table of contents

1. What this Actor does
2. What you get
3. Features
4. Input
5. Output example
6. Output fields
7. Quick start (API)
8. Use cases
9. Limitations
10. FAQ
11. Keywords

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What this Actor does

Step	Action
1	Accept keyword + optional location / days / maxJobs
2	Warm session: GET Naukri SEO search page (cookies)
3	Generate RSA nkparam (`v0
4	GET jobapi/v3/search with keyword, location, pageNo
5	Parse jobDetails[] → Dataset rows
6	Paginate until maxJobs or empty page

Input: keyword, location, max jobs, optional days filter, proxy.
Output: one Dataset row per job (title, companyName, salary, jobUrl, …).

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What you get

Job

• jobId, title, companyName, salary, experience, location

Timing / links

• postedLabel, postedAt, jobUrl, description

Meta

• keyword, scrapedAt, error, errorMessage

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Features

Capability	Detail
Keyword + location	e.g. python developer in bangalore
No browser	curl_cffi impersonate chrome124 + browserforge headers
Live jobapi	Official Naukri search JSON (jobDetails)
RSA nkparam	Fresh token per request via cryptography
Recency filter	Optional days param
Proxy-aware	Optional Apify proxy (IN RESIDENTIAL recommended if blocked)

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Input

Field	Required	Description
keyword	Yes	Search term (e.g. python developer)
location	No	City / slug (e.g. bangalore, mumbai)
maxJobs	No	Cap (default 40, max 500)
days	No	Only jobs posted within N days
proxyConfiguration	No	Default off; enable RESIDENTIAL if needed

Example

{
  "keyword": "python developer",
  "location": "bangalore",
  "maxJobs": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Example with recency

{
  "keyword": "data analyst",
  "location": "hyderabad",
  "maxJobs": 50,
  "days": 7
}

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Output example

{
  "jobId": "123456789012",
  "title": "Python Developer",
  "companyName": "Acme Technologies Pvt Ltd",
  "salary": "8-12 Lacs P.A.",
  "experience": "2-5 Yrs",
  "location": "Bengaluru",
  "postedLabel": "2 Days Ago",
  "postedAt": "2026-09-18T10:00:00Z",
  "jobUrl": "https://www.naukri.com/job-listings-python-developer-acme-...",
  "description": "We are hiring a Python developer with Django experience...",
  "keyword": "python developer",
  "scrapedAt": "2026-09-20T22:00:00Z",
  "error": false,
  "errorMessage": null
}

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Output fields

Field	Notes
jobId, title, companyName	Core listing identity
salary	From placeholders type=salary
experience	experienceText
location	From placeholders type=location
postedLabel, postedAt	Footer label + createdDate (ISO when parseable)
jobUrl	Absolute URL from jdURL
description	jobDescription when present in search payload
keyword, scrapedAt, error, errorMessage	Run metadata

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Quick start (API)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("YOUR_USERNAME/naukri-india-jobs").call(
    run_input={
        "keyword": "python developer",
        "location": "bangalore",
        "maxJobs": 20,
        "proxyConfiguration": {"useApifyProxy": False},
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("companyName"), item.get("salary"))

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Use cases

• India hiring pipelines and agency sourcing lists
• Salary / experience market snapshots by city
• Competitor employer monitoring on Naukri
• Feed ATS / CRM with fresh public listings
• Regional SEO niche: India jobs vs global multi-board scrapers

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Limitations

• Public search only: no apply, no login, no CV download.
• Description depth: search jobDetails may include a snippet; full JD detail endpoint is out of v0.1.
• Blocking: usually works without proxy; if you see 403, enable Apify RESIDENTIAL (India preferred).
• Pagination: capped by maxJobs (500) and internal page safety limit.
• Respect Naukri Terms of Service and applicable laws when scraping.

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FAQ

Do I need a location?
No. Omit location for a broader India-wide keyword search.

How do I get only recent jobs?
Set "days": 7 (or another N) — passed through to Naukri’s days param.

403 / empty results?
Retry with residential proxy. Warm session + fresh nkparam are already handled.

Does this use Playwright?
No. HTTP only (curl_cffi + browserforge + cryptography for RSA).

Icon missing?
Configure the Actor icon in Apify Console when you publish.

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Keywords

naukri scraper, naukri jobs api, naukri india jobs export, scrape naukri by keyword location, india job listings dataset, bangalore jobs scraper, naukri salary experience, PPE naukri jobs, india recruitment lead gen, naukri.com jobapi