# Naukri Job Scraper — India Jobs & Salaries (`hipersoft/naukri-scraper`) Actor

Search Naukri.com and scrape job listings: title, company, salary, experience, location, skills, description and link. For recruitment, market research and lead generation.

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

## Pricing

from $0.003 / job scraped

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Job Scraper — India Jobs, Salaries & Skills

Scrape **Naukri.com** — India's #1 job portal — into clean JSON, CSV, Excel or XML. Search any keyword and get **job title, company, company rating, salary, experience range, required skills, location, posted date and apply URL** for every listing. Fast and reliable.

![Naukri Scraper input — keywords, location and experience in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/naukri-scraper-input.png)

### What does the Naukri Scraper do?

The Naukri Scraper extracts job listings from Naukri.com by keyword and location, returning a structured record for every job — role, employer, salary, experience band, skills and freshness. Use it to build hiring datasets, benchmark salaries and skills, or feed recruitment and market-research pipelines across India.

### What data can you scrape from Naukri?

- 💼 **Job** — title, full description, Naukri apply URL
- 🏢 **Company** — name, ID, AmbitionBox rating + review count, logo
- 💰 **Salary & experience** — salary label, currency, min/max years
- 🧠 **Skills** — parsed list of required skills and tags
- 📍 **Location** — city and work mode (on-site, remote, hybrid)
- 🕐 **Freshness** — posted label, posted date, walk-in flag

### Use cases

- **Recruitment & sourcing** — build live feeds of open roles for any keyword or city.
- **Salary benchmarking** — compare salary bands across companies and experience levels.
- **Skills research** — track which skills employers demand for a role over time.
- **Labour-market analysis** — measure hiring volume and freshness by city and sector.
- **B2B lead generation** — identify companies that are actively hiring.
- **Competitive intelligence** — monitor a competitor's open roles and headcount signals.

### How to scrape Naukri data

1. Add the Naukri Scraper to your Apify account.
2. Enter one or more **keywords** (job titles or search terms), one per line.
3. Optionally set a **location**, **experience** filter and **sort** order.
4. Set **maxItemsPerKeyword** to cap results, then click **Run**.
5. Export the dataset as JSON, CSV, Excel or XML, or pull it via the Apify API.

### Input

- **`keywords`** — job titles / search terms, one per line (e.g. `software engineer`, `data analyst`, `sales manager`)
- **`location`** — optional city (e.g. `bangalore`, `mumbai`, `delhi-ncr`)
- **`experience`** — optional years-of-experience filter
- **`sort`** — `Relevance` or `Freshness`
- **`maxItemsPerKeyword`** — cap jobs per keyword (20 per page)

#### Example input

```json
{ "keywords": ["software engineer", "data analyst"], "location": "bangalore", "maxItemsPerKeyword": 200 }
```

### What you get

![Naukri Scraper output example — job listings with company, salary and skills as structured JSON](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/naukri-scraper-output.png?v=1)

```json
{
  "id": "290726921897",
  "title": "Software Engineer",
  "company": "Wells Fargo",
  "companyRating": 3.6,
  "companyReviews": 9035,
  "experience": "0-5 Yrs",
  "salary": "Not disclosed",
  "currency": "INR",
  "location": "Bengaluru",
  "skills": ["Java", "Azure", "APIs", "Microservices"],
  "description": "2+ years of software engineering experience…",
  "postedLabel": "1 Day Ago",
  "createdDate": "2026-07-29T11:16:54.791Z",
  "url": "https://www.naukri.com/job-listings-software-engineer-wells-fargo-bengaluru-0-to-5-years-290726921897",
  "sourceUrl": "https://www.naukri.com",
  "collectedAt": "2026-07-30T22:18:54.613Z"
}
```

Every record has a stable `id`, `sourceUrl`, `collectedAt` and explicit `null` for missing fields.

#### Output schema

| Field | Type | Description |
|---|---|---|
| `id` | string | Unique Naukri listing identifier for the job. |
| `title` | string | Job title / role. |
| `company` | string | Name of the hiring company. |
| `companyId` | string | Naukri's internal identifier for the company. |
| `companyRating` | number | Company's AmbitionBox star rating. |
| `companyReviews` | integer | Number of employee reviews behind the rating. |
| `experience` | string | Experience requirement label (e.g. `0-5 Yrs`). |
| `minExperience` | string | Minimum years of experience required. |
| `maxExperience` | string | Maximum years of experience considered. |
| `salary` | string | Salary label as shown on the listing. |
| `currency` | string | Currency code for the salary (e.g. `INR`). |
| `location` | string | Job location / city. |
| `skills` | array | List of required skills or tags. |
| `description` | string | Job description text. |
| `postedLabel` | string | Human-readable posting age (e.g. `1 Day Ago`). |
| `createdDate` | string (ISO date) | Timestamp when the listing was posted. |
| `mode` | string | Work mode (on-site, remote or hybrid). |
| `isWalkin` | boolean | Whether the job is a walk-in interview. |
| `logoUrl` | string (URL) | Company logo image URL. |
| `url` | string (URL) | Direct link to the job listing on Naukri. |
| `sourceUrl` | string (URL) | Source site URL. |
| `collectedAt` | string (ISO date) | Timestamp when the record was collected. |

### Need more job data?

- [Indeed Scraper](https://apify.com/hipersoft/indeed-scraper)
- [Bayt Scraper](https://apify.com/hipersoft/bayt-scraper)
- [WeWorkRemotely Scraper](https://apify.com/hipersoft/weworkremotely-scraper)
- [StepStone Scraper](https://apify.com/hipersoft/stepstone-scraper)
- [Reed Scraper](https://apify.com/hipersoft/reed-scraper)

### FAQ

**How many jobs can I scrape?**
As many as the search returns — set `maxItemsPerKeyword` to control the volume per keyword.

**Do I need any setup or login?**
No setup and no login. Just add your keywords and inputs, then run.

**How does billing work?**
You pay per result you get — no wasted spend on empty runs.

**What export formats are supported?**
JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

**How fresh is the data?**
Each run fetches live listings and stamps every record with `collectedAt`; sort by `Freshness` for the newest jobs.

**Can I filter by location or experience?**
Yes — use the `location` and `experience` inputs to narrow results.

**Can I connect it to other tools?**
The Naukri Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

### Related Actors

- [Remote Jobs Aggregator](https://apify.com/hipersoft/remote-jobs-aggregator)
- [Dice Scraper](https://apify.com/hipersoft/dice-scraper)
- [RemoteOK Scraper](https://apify.com/hipersoft/remoteok-scraper)

### Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Naukri.com's terms. Not affiliated with Naukri.com or Info Edge.

# Actor input Schema

## `keywords` (type: `array`):

Search terms, one per line (e.g. "software engineer", "data analyst", "sales manager").

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

Optional city filter (e.g. "bangalore", "mumbai", "delhi-ncr"). Leave blank for all India.

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

Optional years-of-experience filter (e.g. "3"). Leave blank for any.

## `maxItemsPerKeyword` (type: `integer`):

Cap jobs per keyword (20 per page).

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

Result order.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "maxItemsPerKeyword": 200,
  "sort": "r"
}
```

# 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 = {
    "keywords": [
        "software engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/naukri-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 = { "keywords": ["software engineer"] }

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

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

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

```

## CLI example

```bash
echo '{
  "keywords": [
    "software engineer"
  ]
}' |
apify call hipersoft/naukri-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hipersoft/naukri-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fvcXi6CrEclScMlHz/builds/jop0f8x1M7VDZ6eAm/openapi.json