# Naukri Jobs Scraper — India Job Listings API (`crawloop/naukri-jobs-scraper`) Actor

Scrape Naukri.com jobs by keyword, city, or start URLs — a Naukri API alternative. Export title, employer, salary (INR/LPA), skills, experience, work mode, and AmbitionBox ratings as JSON for recruiting and market research.

- **URL**: https://apify.com/crawloop/naukri-jobs-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.69 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Naukri Jobs Scraper — India Job Listings API

> **Disclaimer:** Unofficial tool for publicly accessible Naukri job listings. **Naukri**, **Naukri.com**, **AmbitionBox**, and related names are trademarks of their respective owners. Not affiliated with, sponsored by, or endorsed by Info Edge (India) Ltd. For informational, research, aggregation, and recruiting-intelligence use only. Respect applicable terms of use and law.

Scrape **Naukri job listings** from India’s largest job board — a practical **Naukri API alternative** and **India jobs scraper** for structured data. Search by **keyword**, **city**, **filters**, or paste **listing start URLs**. Export **title**, **employer**, **location**, **salary (INR and LPA)**, **experience**, **skills**, **work mode**, **AmbitionBox ratings**, **posted dates**, and **job URLs** via fast **HTTP** — **no headless browser**. Use from **Python**, **Node.js**, **cURL**, or **Apify MCP** / AI assistants.

Ideal for **India job board aggregation**, **salary benchmarking**, **recruiting intelligence**, **employer lead generation**, and **tech hiring research** across Bangalore, Mumbai, Hyderabad, Pune, Delhi NCR, and remote roles.

### When to use this Actor

- You need a **Naukri scraper** / **Naukri.com scraper** that returns structured JSON
- You want **keyword + city + Naukri filters** without maintaining your own crawler
- You need **salary, skills, experience, and AmbitionBox ratings** as first-class fields
- You want to scrape Naukri with **Python**, **Node.js**, or **MCP** and export a dataset

### When not to use this Actor

- **Non-Indian job portals** — this Actor covers Naukri.com only
- **Guaranteed emails or phones** — public listing cards rarely include direct contacts
- **Login-walled apply-form automation** — public search data only
- **Historical archives** — currently listed jobs only

### Key Features

- **Keyword + city search** — `position`, `location`, optional extra `locations` (pooled and deduplicated)
- **Start URL parsing** — paste Naukri listing URLs; `experience`, `jobAge`, `ctcFilter`, `wfhType` query params map automatically
- **Naukri filters** — experience, freshness, CTC band, work mode (remote / hybrid / office), employment type, company name, sort
- **Structured salary** — INR min/max plus LPA when Naukri discloses CTC (not guessed from HTML)
- **Skills array + AmbitionBox** — ratings and review counts from the search payload
- **HTTP JSON path** — Chrome TLS impersonation + signed search header; 256–512 MB, no Playwright
- **Deduplicated job IDs** across pages and multi-city runs
- **Apify Proxy ready** — IN residential recommended on the platform
- **MCP / AI ready** — call from assistants via Apify MCP

### Use Cases

| Use case | What you get |
| :--- | :--- |
| **Job aggregation** | Fresh Naukri openings into a board / search index |
| **Salary benchmarking** | Disclosed CTC bands in INR and lakhs for a role × city |
| **Recruiting intelligence** | Competitor vacancy monitoring for target Indian roles |
| **Employer lead gen** | Companies (and consultants) actively hiring in a segment |
| **Skills demand** | Required skills arrays for Python, Java, sales, and more |
| **Remote / hybrid tracking** | Work-mode flags parsed from Naukri location labels |

### Quick Start

**Keyword + city:**

```json
{
  "position": "Python developer",
  "location": "Bangalore",
  "maxItems": 50,
  "jobAge": "7",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}
```

**Listing start URL (filters in the query string are applied):**

```json
{
  "startUrls": [
    { "url": "https://www.naukri.com/python-developer-jobs-in-bangalore?experience=2-5&jobAge=7" }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}
```

**Multi-city + remote filter:**

```json
{
  "position": "data scientist",
  "location": "Bangalore",
  "locations": ["Hyderabad", "Pune"],
  "workMode": "hybrid",
  "ctcFilter": "15to25",
  "sort": "date",
  "maxItems": 150
}
```

### Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `position` | String | — | Keywords / job title |
| `location` | String | — | City / region |
| `locations` | Array | — | Extra cities (one Naukri search each) |
| `startUrls` | Array | — | Naukri listing URLs |
| `experience` | String | — | Min years (`3`) or range (`2-5`) |
| `jobAge` | String | any | `1` / `3` / `7` / `15` / `30` days |
| `ctcFilter` | String | any | CTC band, e.g. `10to15` |
| `workMode` | String | `any` | `remote` / `hybrid` / `office` |
| `jobTypeFilter` | String | any | `P` permanent, `C` contract, `I` internship |
| `companyName` | String | — | Company name filter |
| `sort` | String | `relevance` | `relevance` or `date` |
| `maxItems` | Integer | `100` | Max jobs (`0` = unlimited subject to `maxPages`) |
| `maxPages` | Integer | `20` | Pagination safety cap (max 50) |
| `proxyConfiguration` | Object | IN residential | Strongly recommended on Apify |

### Output Format

Each dataset item is one job listing.

| Field | Type | Description |
| :--- | :--- | :--- |
| `jobId` | String | Naukri job id |
| `url` | String | Job detail URL |
| `title` | String | Job title |
| `employer` | String | Company name |
| `employerId` | String | Company id |
| `employerUrl` | String | Naukri company jobs page |
| `hiringFor` | String | End client when a consultant posts the role |
| `location` | String | Location text |
| `workMode` | String | `hybrid` / `remote` / `office` when detected |
| `experienceText` | String | e.g. `3-7 Yrs` |
| `experienceMin` / `experienceMax` | Integer | Years |
| `salaryNote` | String | e.g. `5-15 Lacs PA` (null if not disclosed) |
| `salaryMin` / `salaryMax` | Integer | INR annual when disclosed |
| `salaryLakhsMin` / `salaryLakhsMax` | Number | LPA |
| `skills` | Array | Skill labels |
| `description` | String | Listing snippet |
| `postedAt` | String | ISO timestamp |
| `postedAtRelative` | String | e.g. `2 Days Ago` |
| `companyRating` | Number | AmbitionBox aggregate |
| `companyReviewsCount` | Integer | AmbitionBox reviews |
| `vacancy` | Integer | Openings when published |
| `source` | String | Always `naukri` |

**Example row:**

```json
{
  "jobId": "100626018934",
  "url": "https://www.naukri.com/job-listings-python-developer-dynpro-bengaluru-5-to-10-years-100626018934",
  "title": "Python developer",
  "employer": "Dynpro",
  "hiringFor": "IBM",
  "location": "Bengaluru",
  "workMode": null,
  "experienceText": "5-10 Yrs",
  "experienceMin": 5,
  "experienceMax": 10,
  "salaryNote": "5-15 Lacs PA",
  "salaryMin": 500000,
  "salaryMax": 1500000,
  "salaryLakhsMin": 5,
  "salaryLakhsMax": 15,
  "salaryCurrency": "INR",
  "skills": ["Opencv", "Django", "Python", "Postgresql"],
  "companyRating": null,
  "source": "naukri"
}
```

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/naukri-jobs-scraper').call({
  position: 'Python developer',
  location: 'Bangalore',
  maxItems: 50,
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
    apifyProxyCountry: 'IN',
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/naukri-jobs-scraper").call(
    run_input={
        "position": "Python developer",
        "location": "Bangalore",
        "maxItems": 50,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "IN",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("employer"), item.get("url"))
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~naukri-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"position":"Python developer","location":"Bangalore","maxItems":50}'
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call `crawloop/naukri-jobs-scraper`.

Example prompts:

- "Run Naukri Jobs Scraper for Python developer in Bangalore, max 50, and return title, employer, salaryNote, url as JSON"
- "Scrape Naukri data scientist jobs in Hyderabad posted in the last 7 days and list top hiring employers"
- "Pull Naukri hybrid product manager openings in Pune and Mumbai, then summarize salary bands"
- "Scrape Naukri sales executive jobs in Delhi posted in the last 3 days and list employers with AmbitionBox ratings"

### FAQ

**Is this an official Naukri API?**\
No. It calls the same public search JSON the website uses and returns structured dataset rows — a practical API-style export for pipelines.

**Do I need a Naukri login?**\
No — public listing cards only.

**Why IN residential proxy?**\
Naukri often challenges datacenter IPs (recaptcha / 406). Residential (IN) is the reliable default on the platform.

**Does every job include salary?**\
No. Many Indian listings hide CTC (`Not disclosed`). When Naukri publishes a band, you get INR min/max and LPA fields.

**Python / Node.js / MCP?**\
Yes — use the Apify client examples above or Apify MCP prompts.

**How many jobs per search?**\
Naukri paginates 20 jobs per page and typically caps around 50 pages (~1,000) per query. Use extra `locations` or start URLs to cover more.

**Can I scrape remote or hybrid Naukri jobs?**\
Yes — set `workMode` to `remote` or `hybrid`, or pass a listing URL that already includes `wfhType`.

**Does it work as a Naukri scraper from Python?**\
Yes — use the `apify-client` example above, or call the Actor from Node.js / cURL / Apify MCP.

### Related Actors

| Actor | Focus |
| :--- | :--- |
| **Naukri Jobs Scraper** ◄── you are here | India Naukri.com job listings |
| [Stepstone Jobs Scraper](https://apify.com/crawloop/stepstone-jobs-scraper) | DACH commercial job board |
| [Arbeitsagentur Jobs Scraper](https://apify.com/crawloop/arbeitsagentur-jobs-scraper) | Germany BA Jobsuche |
| [Trustpilot Scraper](https://apify.com/crawloop/trustpilot-scraper) | Review monitoring |

# Actor input Schema

## `position` (type: `string`):

Job title or keywords (e.g. Python developer, data scientist, sales executive).

## `location` (type: `string`):

Indian city or region (e.g. Bangalore, Mumbai, Hyderabad, Pune, Delhi, remote).

## `locations` (type: `array`):

Optional extra cities. Each city is a separate Naukri search; results are pooled and deduplicated by job ID.

## `startUrls` (type: `array`):

Optional Naukri listing URLs. Path and query filters (experience, jobAge, ctcFilter, wfhType, …) are parsed automatically.

## `experience` (type: `string`):

Experience filter as Naukri expects it: minimum years (e.g. 3) or a range (e.g. 2-5).

## `jobAge` (type: `string`):

Freshness filter in days.

## `ctcFilter` (type: `string`):

Naukri salary band filter in lakhs per annum.

## `workMode` (type: `string`):

Naukri work-from-home filter.

## `jobTypeFilter` (type: `string`):

Naukri job type filter.

## `companyName` (type: `string`):

Optional company name filter (e.g. TCS, Infosys, Amazon).

## `sort` (type: `string`):

Result order.

## `maxItems` (type: `integer`):

Maximum job rows to collect across all searches. 0 = unlimited (subject to maxPages).

## `maxPages` (type: `integer`):

Safety cap on Naukri pagination (20 jobs per page, portal cap ~50 pages).

## `proxyConfiguration` (type: `object`):

IN residential is recommended on Apify. Datacenter IPs often get recaptcha/406 from Naukri.

## Actor input object example

```json
{
  "position": "Python developer",
  "location": "Bangalore",
  "startUrls": [
    {
      "url": "https://www.naukri.com/python-developer-jobs-in-bangalore"
    }
  ],
  "jobAge": "",
  "ctcFilter": "",
  "workMode": "any",
  "jobTypeFilter": "",
  "sort": "relevance",
  "maxItems": 100,
  "maxPages": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "position": "Python developer",
    "location": "Bangalore",
    "startUrls": [
        {
            "url": "https://www.naukri.com/python-developer-jobs-in-bangalore"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "IN"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/naukri-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "position": "Python developer",
    "location": "Bangalore",
    "startUrls": [{ "url": "https://www.naukri.com/python-developer-jobs-in-bangalore" }],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "IN",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/naukri-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "position": "Python developer",
  "location": "Bangalore",
  "startUrls": [
    {
      "url": "https://www.naukri.com/python-developer-jobs-in-bangalore"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}' |
apify call crawloop/naukri-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/naukri-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Z2xkgNkinfsFuzJEj/builds/RrDRYDBxFXKXL08Te/openapi.json