# Naukri Jobs Scraper (Salary, Skills, Company Rating) (`webdatatools/naukri-jobs-scraper`) Actor

Scrape Naukri.com job listings by keyword and city or from any search URL: title, company, salary range, experience, skills, work mode, posting date and AmbitionBox company rating. Real browser, no login, pay per job.

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

## Pricing

from $0.48 / 1,000 jobs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What is Naukri Jobs Scraper?

Naukri Jobs Scraper extracts job listings from **[Naukri.com](https://www.naukri.com)**, India's largest job board, by keyword and city or from any Naukri search URL. Every job comes back as one clean row: **title, company, salary range, experience range, skills, work mode (hybrid/remote), locations, posting date and the company's AmbitionBox rating**. It reads Naukri the way a visitor does — a real Chromium browser on public, logged-out search pages — so there is no login, no cookies to supply and no CAPTCHA to deal with. Run it from the Apify Console, the API, a schedule, or an AI agent through MCP.

### What data does Naukri Jobs Scraper extract?

| Field | Description |
| --- | --- |
| `jobId`, `title`, `url` | Naukri job ID, job title and the listing URL |
| `company`, `companyId`, `companyUrl`, `companyLogo` | Hiring company and its Naukri page |
| `location`, `locations`, `workMode` | Location label as shown, the cities parsed out of it, and `Hybrid` / `Remote` / `Work from home` when stated |
| `experience`, `minExperienceYears`, `maxExperienceYears` | Experience label (`3-6 Yrs`) and the range as numbers |
| `salary`, `salaryMin`, `salaryMax`, `salaryCurrency` | Salary label (`15-30 Lacs PA`) and the annual range in INR when the employer discloses it |
| `skills` | Skills and tags listed on the job card |
| `descriptionSnippet` | Short description from the search card, HTML removed |
| `postedAt`, `postedLabel` | Posting date (ISO 8601) and the relative label (`3 Days Ago`) |
| `companyRating`, `companyReviewCount` | AmbitionBox employee rating and review count, when Naukri shows them |
| `vacancies`, `walkIn` | Number of openings and walk-in interview flag |
| `search`, `scrapedAt` | The search the job came from and the scrape time |

### How to use Naukri Jobs Scraper

1. Enter one or more **Keywords** (job titles, skills or companies), e.g. `python developer`, `data analyst`.
2. Optionally add **Locations**, e.g. `bengaluru`, `pune`, `delhi ncr`. Every keyword is searched in every location; leave it empty to search all of India.
3. Or paste **Naukri search URLs** copied from your browser — pagination is handled for you.
4. Set **Max jobs per search** (Naukri shows 20 jobs per page) and, if you like, **Experience** and **Posted within** filters.
5. Click **Start**, then export the dataset as JSON, CSV, Excel or HTML, or read it through the API.

### Example input

```json
{
    "keywords": ["python developer", "data analyst"],
    "locations": ["bengaluru", "pune"],
    "maxJobsPerSearch": 100,
    "experience": 3,
    "jobAge": "7"
}
```

### Example output

```json
{
    "jobId": "050925009110",
    "title": "Python Software Developer AWS",
    "company": "Capgemini",
    "url": "https://www.naukri.com/job-listings-python-software-developer-aws-capgemini-bengaluru-mumbai-all-areas-7-to-12-years-050925009110",
    "location": "Hybrid - Bengaluru, Mumbai (All Areas)",
    "locations": ["Bengaluru", "Mumbai (All Areas)"],
    "workMode": "Hybrid",
    "experience": "7-12 Yrs",
    "minExperienceYears": 7,
    "maxExperienceYears": 12,
    "salary": "15-30 Lacs PA",
    "salaryMin": 1500000,
    "salaryMax": 3000000,
    "salaryCurrency": "INR",
    "skills": ["AWS Lambda", "FASTAPi", "AWS Serverless", "API", "MongoDB"],
    "descriptionSnippet": "Experience working with containerization technologies like Kubernetes for deployment on AWS EKS / ECS",
    "postedAt": "2026-09-23T14:54:03.380Z",
    "postedLabel": "10 Days Ago",
    "companyRating": 3.6,
    "companyReviewCount": 58052,
    "search": "python developer in bengaluru"
}
```

### How much does it cost?

**Pricing:** Naukri Jobs Scraper costs **$0.80 per 1,000 jobs** on the free plan, with volume discounts on paid Apify plans (pay per result, platform usage included — no separate charge for the browser or proxies).

A 500-job market scan costs about $0.40. Set **Maximum cost per run** and the Actor stops at the number of jobs that budget covers.

### Use cases

- **Salary benchmarking** — `salaryMin`/`salaryMax` as numbers for every job that discloses pay, grouped by title, city and experience.
- **Hiring-signal and lead lists** — which companies are hiring for which skills, with their Naukri page and AmbitionBox rating.
- **Skills demand tracking** — schedule a weekly run and count `skills` across thousands of listings.
- **Job aggregators and alerts** — `Posted within: Last 24 hours` on a daily schedule, with a webhook to your app.

### Limits

- Data comes from Naukri's **search results**: the description is the short card snippet, not the full job description page.
- Salary numbers are filled only when the employer discloses them; otherwise `salary` keeps Naukri's label (e.g. `Not disclosed`) and the numbers are `null`.
- Naukri itself caps how deep a search can be paged; split very broad searches by city or experience to collect more.
- Public, logged-out pages only — no applicant data, no recruiter contact details behind login.

### Using Naukri Jobs Scraper with AI agents

The Actor is pay-per-event with limited permissions, so assistants with the Apify MCP server (`mcp.apify.com`) can call it directly: "find hybrid data analyst jobs in Pune posted this week and summarise salary ranges" becomes one tool call returning structured rows.

### FAQ

**Do I need a Naukri account?** No. The Actor only reads public search pages that anyone can open without logging in.

**Why does it use a real browser?** Naukri builds its result list in the browser from its own search API, which refuses plain HTTP clients. Loading the page in Chromium is the reliable way to read exactly what a visitor sees.

**Can I scrape Naukri Gulf?** Not yet — this Actor covers naukri.com (India).

**Is scraping Naukri legal?** The Actor collects publicly listed job postings, not personal data behind a login. You are responsible for how you use the data and for following Naukri's terms and applicable law.

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# Actor input Schema

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

Job titles, skills or companies to search for, one per line, e.g. python developer. Each keyword is searched in every location below.

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

Optional. Cities or regions, one per line, e.g. bengaluru, pune, delhi ncr. Leave empty to search all of India.

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

Optional. Paste search result URLs from naukri.com, e.g. https://www.naukri.com/java-jobs-in-pune. Pagination is handled for you.

## `maxJobsPerSearch` (type: `integer`):

Stop after this many jobs for each keyword-location pair or URL, e.g. 100. Each job is one billed result. Naukri shows 20 jobs per page.

## `experience` (type: `integer`):

Optional. Only jobs that accept this many years of experience, e.g. 3.

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

Optional. Only jobs posted within the last N days.

## `proxyMode` (type: `string`):

auto: direct connection first, Apify Residential (India) only if Naukri stops answering. always: Residential from the start. never: direct only.

## `debug` (type: `boolean`):

Store each page's raw search API response in the key-value store, for troubleshooting.

## Actor input object example

```json
{
  "keywords": [
    "python developer"
  ],
  "locations": [
    "bengaluru"
  ],
  "maxJobsPerSearch": 100,
  "proxyMode": "auto",
  "debug": false
}
```

# Actor output Schema

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

All jobs from this run.

# 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": [
        "python developer"
    ],
    "locations": [
        "bengaluru"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/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 = {
    "keywords": ["python developer"],
    "locations": ["bengaluru"],
}

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/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 '{
  "keywords": [
    "python developer"
  ],
  "locations": [
    "bengaluru"
  ]
}' |
apify call webdatatools/naukri-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/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/MJZKocs34kTMEOPNA/builds/Pm6c0JwY8sxn1hwKQ/openapi.json