Naukri Jobs Scraper

Naukri Jobs Scraper is a Naukri scraper that searches the India market and returns 41 structured job, salary, company, application, and public contact fields. It is built for recruiting research, workforce intelligence, job products, and repeatable data workflows.

• India focus in the public search contract.
• 6 public inputs with 3 required.
• 41 normalized Dataset fields.
• $0.00320 per Result on FREE plus a $0.01000 minimum Actor Start event.

The smallest useful test sets max_results to 1 and costs $0.01320 on FREE when one Result is published and one Actor Start event is charged.

Why Choose Naukri Jobs Scraper

Source-focused coverage. Naukri Jobs Scraper searches the India market while keeping the public source URL on every accepted record, so reviewers can trace individual listings.

A stable 41-field contract. Job content, location, salary, company, application, contact, and processing fields use the same names across repeat runs. Source omissions stay empty instead of being filled with guesses.

Explicit filter boundaries. Keyword, optional indian location, and remote-only search are supported; date, distance, and employment-type request filters are not exposed. Optional inputs affect a request only when supplied.

Low-risk evaluation. One result is enough to inspect relevance, salary coverage, employer detail, and application URLs before increasing volume or adding a schedule.

Apify delivery surfaces. The same input works through Console, API clients, Datasets, schedules, webhooks, and MCP without changing the result schema.

Naukri's official job-search resources describe its India-focused job search, career tools, and work-from-home guidance.

Quick Start Guide

Step 1: Configure

Open the Actor input, keep the prefilled working values or use the shared Python Developer scenario, and set only fields listed in Input Parameters.

Step 2: Run

Start with max_results: 1. The limit is the maximum number of published jobs for this single-platform Actor.

Step 3: Collect

Inspect the default Dataset, especially platform_url, official_url, nullable salary fields, company_name, and processed_at. Export JSON, CSV, Excel, XML, or another Apify-supported Dataset format after the shape fits the workflow.

Input Parameters

Naukri Jobs Scraper exposes 6 public inputs in schema order, with 3 required and every other filter optional.

Parameter	Type	Required	Description	Example
max_results	integer	Yes	Maximum number of Naukri job results to return.	15
keyword	string	Yes	Job title, skill, or company search term sent to Naukri.	Python Developer
country	select	Yes	Country used for the Naukri search endpoint.	India
location	string	No	City, area, or postal code used for the Naukri search.	—
remote_only	boolean	No	Request only remote roles from Naukri where supported.	—
currency	select	No	Optional target currency for converting salary amounts returned by Naukri.	—

country has 1 accepted values; currency has 166 accepted values. Inputs are prefilled with a working example, while optional fields without values stay non-restrictive.

Shared scenario:

{
  "max_results": 1,
  "keyword": "Python Developer",
  "country": "India",
  "location": "Bengaluru",
  "currency": "USD"
}

Output Data Schema

Each Dataset item represents one accepted public job listing in a 41-field schema, with missing source values left empty.

Field group	Fields
Source and links	platform, platform_url, official_url
Job identity	title, description, job_type, job_level, job_function, listing_type, skills, experience_range
Dates and availability	posted_date, valid_through, applicant_count, vacancy_count
Location and work mode	location, is_remote, work_mode
Compensation	salary_period, salary_minimum, salary_maximum, salary_currency
Application	easy_apply
Company	company_name, company_type, company_founded, company_industry, company_url, company_website, company_logo, company_addresses, company_revenue, company_description, company_rating, employee_count, review_count
Public contact signals	emails, phones, social_links
Processing metadata	processor, processed_at

The following JSON is abbreviated and illustrative; a real item uses all 41 public field names even when some values are null:

{
  "platform": "Naukri.com",
  "platform_url": "https://example.com/naukri-jobs-scraper/listing-123",
  "official_url": null,
  "title": "Python Developer",
  "location": {
    "raw": "Bengaluru",
    "country": "India"
  },
  "salary_minimum": null,
  "salary_maximum": null,
  "salary_currency": null,
  "company_name": "Example Employer",
  "processed_at": "2026-08-10T12:00:00.000Z"
}

Results can be exported through Apify Datasets in JSON, CSV, Excel, XML, RSS, and other supported formats.

Integration Examples

Call Naukri Jobs Scraper with public Actor ID Ex2XK9pPv6BBQ0mG5 or name form agentx/naukri-jobs-scraper; every example uses the same Python Developer scenario.

Actor ID

Ex2XK9pPv6BBQ0mG5

HTTP

curl -X POST "https://api.apify.com/v2/acts/Ex2XK9pPv6BBQ0mG5/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"max_results":1,"keyword":"Python Developer","country":"India","location":"Bengaluru","currency":"USD"}'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("Ex2XK9pPv6BBQ0mG5").call(run_input={'max_results': 1, 'keyword': 'Python Developer', 'country': 'India', 'location': 'Bengaluru', 'currency': 'USD'})
items = client.dataset(run["defaultDatasetId"]).list_items().items

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('Ex2XK9pPv6BBQ0mG5').call({"max_results": 1, "keyword": "Python Developer", "country": "India", "location": "Bengaluru", "currency": "USD"});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Make.com and n8n

Use the Apify module or node with Actor ID Ex2XK9pPv6BBQ0mG5, paste the same JSON input, wait for completion, and read the default Dataset. Store the Apify token in the platform's credential manager.

MCP

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=agentx/naukri-jobs-scraper",
      "headers": {"Authorization": "Bearer <APIFY_TOKEN>"}
    }
  }
}

Use the API page for generated SDK and OpenAPI examples.

Pricing

Naukri Jobs Scraper costs $0.00320 per Result on FREE plus $0.01000 per minimum Actor Start event; one published-result test totals $0.01320.

Event or tier	Price	Billing unit
Actor Start	$0.01000	One event per GB of selected memory, minimum one
FREE Result	$0.00320	One default Dataset item
BRONZE Result	$0.00288	One default Dataset item
SILVER Result	$0.00256	One default Dataset item
GOLD Result	$0.00240	One default Dataset item
PLATINUM Result	$0.00240	One default Dataset item
DIAMOND Result	$0.00240	One default Dataset item

Smallest run: $0.01000 + 1 × $0.00320 = $0.01320. A representative 100-result FREE run with one minimum start event is $0.01000 + 100 × $0.00320 = $0.33000. Batched results share the run start instead of paying a new start for each item. Prices can change; check live pricing.

Use Cases

India recruiting research by role and city. Use the documented filters to define the cohort, retain platform_url for traceability, and compare only fields actually published by Naukri.com. Start with a one-result run before turning the input into a recurring workflow.

Work-from-home demand monitoring. Use the documented filters to define the cohort, retain official_url for traceability, and compare only fields actually published by Naukri.com. Start with a one-result run before turning the input into a recurring workflow.

Skills and experience analysis from source listings. Use the documented filters to define the cohort, retain processed_at for traceability, and compare only fields actually published by Naukri.com. Start with a one-result run before turning the input into a recurring workflow.

Salary research using disclosed rupee amounts. Use the documented filters to define the cohort, retain company_name for traceability, and compare only fields actually published by Naukri.com. Start with a one-result run before turning the input into a recurring workflow.

India-focused job feeds and scheduled snapshots. Use the documented filters to define the cohort, retain salary_currency for traceability, and compare only fields actually published by Naukri.com. Start with a one-result run before turning the input into a recurring workflow.

Alternatives

Manual Naukri.com browsing is reasonable for checking a handful of listings, reading final descriptions, and making application decisions. It becomes difficult to repeat when a team needs structured snapshots, nullable fields, exports, or scheduled delivery.

The source's own search is the best choice for interactive discovery, account features, saved jobs, alerts, and applications. Naukri Jobs Scraper is the better fit when the requirement is a repeatable Dataset and API/MCP delivery; it does not replace the source experience or claim affiliation.

An unnamed multi-source job-data service may suit teams that want a vendor-managed feed with a broader commercial contract. A custom integration offers maximum control but leaves source changes, normalization, retries, storage, and monitoring with the engineering team.

Choose something else if the project needs private candidate profiles, resume databases, automated applications, guaranteed field completeness, historical vacancies that are no longer public, or a legal determination about downstream use.

Limits and Troubleshooting

The main limits come from live public source inventory and the Actor-specific input contract.

• India is the only country input and no international coverage is claimed — Treat this as expected source behavior, not a promise that the cap will be filled; first verify the same search on the source and then broaden only the restrictive input.
• Remote-only is supported, but date, distance, and job type are not request filters — Keep the unsupported dimension out of the request and, when it matters analytically, filter the normalized Dataset after collection.
• Salary and employer fields can be empty — Reproduce the condition with max_results: 1, preserve the exact input, and use the source URL to distinguish a parser problem from changing source inventory.
• Location spelling affects source results; use a recognized Indian city — Model nullable values explicitly in downstream storage and calculations; an absent value must not be converted into zero or a fabricated category.
• The Actor does not collect private profiles, resumes, or candidate data — For scheduled monitoring, store processed_at and source URLs, expect listings to change, and compare snapshots instead of assuming a permanent record.

For a reproducible issue, run max_results: 1 with the exact keyword and country, then open Apify Issues with the run URL, expected behavior, and affected source. Never include an API token or private data.

Trust and Reliability

Apify records each run, Dataset, input, status, and billed event under the user's account. This Actor declares one Result event per default Dataset item and an Actor Start event tied to selected memory.

The documented Dataset contract contains 41 fields, keeps source URLs, and leaves unavailable public values empty. The Actor does not guarantee relevance, inventory, salary coverage, company completeness, or contact availability that the source does not publish.

Legal and Compliance

Data scope. The Actor collects accessible public job and employer information; it does not request source-account credentials or private candidate data.

User responsibility. Review applicable laws, source terms, database rights, privacy obligations, and retention rules for every country and workflow. This documentation is not legal advice.

Responsible use. Keep attribution where required, verify listings before acting, protect stored data, and do not use public contact fields for spam, unlawful profiling, or discriminatory decisions.

Frequently Asked Questions

How do I scrape naukri jobs by keyword?

Set the required max_results, keyword, and country values, add only supported optional filters, and inspect a one-result Dataset before scaling.

Can I use this as a naukri job listings api?

Yes. The Actor can be called by API or MCP and returns normalized Dataset items; it is independent of Naukri.com and does not claim official affiliation.

Does Naukri Jobs Scraper require source credentials?

No source username, password, cookie, or API key is a public input. Apify authentication is required for API and MCP execution.

Why are salary, company, or contact fields empty?

Those fields depend on public source and employer pages. Empty means unavailable, not zero, and the Actor does not invent missing values.

Is there a free jobs API?

The Actor uses pay-per-event pricing under your Apify plan. Start with the one-result calculation in Pricing to measure relevance and populated fields before increasing volume.

Can I schedule runs to monitor Naukri.com jobs over time?

Yes. Use Apify schedules after testing the input, and retain processed_at plus source URLs because listings can update, close, or reappear.

How does Result billing work?

Each item written to the default Dataset bills one Result event. Actor Start event count depends on memory, with a minimum of one event per run.

Related AgentX Actors

AgentX publishes 77 Actors; the three closest choices appear first, followed by the complete catalog grouped by category.

Closest to this Actor:

• All Jobs Scraper — multi-country, multi-board coverage.
• Indeed Jobs Scraper — Indeed India and global markets.
• LinkedIn Jobs Scraper — LinkedIn role signals.

Business and Market Intelligence

• Google Keyword Trends — Google Trends keyword interest, compared five at a time
• Google Trends Scraper — Google Trends trending searches
• Google Maps Store Scraper — Google Maps business listings
• LinkedIn Company Lookup — LinkedIn company records
• LinkedIn Profile Lookup — LinkedIn profile records
• Weather Forecast API — forecast and historical weather data

Jobs and Hiring

• All Jobs Scraper — multi-platform job listings
• Bayt Jobs Scraper — Bayt job listings
• Glassdoor Jobs Scraper — Glassdoor job listings
• Indeed Jobs Scraper — Indeed job listings
• JobStreet Company Profile — JobStreet employer records
• Jooble Jobs Scraper — Jooble job listings
• LinkedIn Jobs Scraper — LinkedIn job listings
• Talent Jobs Scraper — Talent.com job listings
• ZipRecruiter Jobs Scraper — ZipRecruiter job listings

Social Media

• Instagram Creator Scraper — Instagram creator profiles
• Instagram Reels Scraper — Instagram Reels metadata
• Instagram Trending Scraper — Instagram trending content
• Medium Scraper — Medium articles
• Medium Profile Scraper — Medium author profiles
• Reddit Profile Scraper — Reddit user profiles
• Reddit Viral Scraper — Reddit viral posts
• SubReddit Info Scraper — subreddit metadata
• Subreddit Members Scraper — subreddit member lists
• Subreddit Posts Scraper — subreddit post feeds
• Telegram Chat Scraper — Telegram chat messages
• Telegram Info Scraper — Telegram channel metadata
• Telegram Member Adder — Telegram group membership management
• Telegram Member Scraper — Telegram group members
• Telegram Private Group Scraper — private Telegram group data
• TikTok Creator API — TikTok creator profiles
• TikTok User Lookup — TikTok account records
• X Twitter Community API — X community data
• X Twitter Profile Lookup — X profile records
• YouTube Creator Email Scraper — YouTube creator contact data

Video, Transcripts and Downloads

• All Video Scraper — multi-platform video metadata
• Video Transcript — multi-platform transcripts
• Video Captions Downloader — caption files
• Video to Social Post — video repurposed into social copy
• YouTube Transcript — YouTube transcripts
• TikTok Transcript — TikTok transcripts
• X Twitter Transcript — X video transcripts
• Facebook Transcript — Facebook video transcripts
• Bilibili Transcript — Bilibili transcripts
• Dailymotion Transcript — Dailymotion transcripts
• Rutube Transcript — Rutube transcripts
• Loom Transcript — Loom transcripts
• Wistia Transcript — Wistia transcripts
• Instagram Reels Downloader — Reels downloads
• Kick Clip Downloader — Kick clip downloads
• Linkedin Video Downloader — LinkedIn video downloads
• Pinterest Video Downloader — Pinterest video downloads
• Reddit Video Downloader — Reddit video downloads
• Snapchat Video Downloader — Snapchat video downloads
• TED Talk Downloader — TED talk downloads
• TikTok Live Downloader — TikTok live downloads
• Twitch VOD Downloader — Twitch VOD downloads
• Zoom Recording Downloader — Zoom recording downloads

E-Commerce and Retail

• All Shopping Scraper — multi-platform product data
• AliExpress Product Scraper — AliExpress products
• Amazon Storefront Scraper — Amazon Brand Store pages
• Bol Product Scraper — Bol.com products
• eBay Seller Leads API — eBay seller records
• Hepsiburada Product Scraper — Hepsiburada products
• Kakaku Product Scraper — Kakaku.com products
• Rakuten Product Scraper — Rakuten products

Classifieds and Automotive

• All Vehicle Scraper — multi-platform vehicle listings
• AutoTrader Vehicle Search — AutoTrader US listings
• AutoTrader UK Vehicle Search — AutoTrader UK listings

Real Estate

• All Property Scraper — multi-platform property listings
• Homes Property Scraper — Homes.com listings
• MagicBricks Property Scraper — MagicBricks listings
• NoBroker Property Scraper — NoBroker listings
• Property24 Property Scraper — Property24 listings
• Realtor Property Scraper — Realtor.com listings
• Zillow Property Scraper — Zillow listings

Support and Community

Ask about Naukri.com job search, input filters, Dataset fields, API, MCP, and billing in the AgentX community on Telegram; for a reproducible bug, open an Issue with the run ID and exact input.

AgentX is an Arcyton brand — arcyton.com.

Last Updated: August 10, 2026