# Naukri.com Job Listings Extractor with Salary & Skills (`nimbryxo-studio/naukri-com-job-listings-extractor-with-salary`) Actor

Pull job listings from Naukri.com by search URL or by keyword, location, experience, salary, job age and work-mode filters, with company rating, skills and recruiter detail per posting.

- **URL**: https://apify.com/nimbryxo-studio/naukri-com-job-listings-extractor-with-salary.md
- **Developed by:** [Nimbryxo-studio](https://apify.com/nimbryxo-studio) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## Naukri.com Job Listings Extractor with Salary & Skills

Naukri.com is one of India's best-known job boards, and this actor turns any search on it into structured data. Paste a search URL or fill in keyword/location/salary filters, and get back one record per job posting with company, pay, skills and recruiter detail.

### What this actor does

- Scrapes job listings either from a pasted Naukri search URL or from structured filter fields (keyword, location, experience, salary, job age, job type, work mode).
- Returns company detail alongside each job, including AmbitionBox rating and review count when Naukri publishes one for that employer.
- Pulls the skill tags Naukri attaches to each posting, along with industry and role category.
- Captures posting freshness (Naukri's relative label plus an absolute creation timestamp when Naukri provides one), vacancy count, and application count.
- Omits any field Naukri didn't supply for a given listing, so records never carry empty placeholders.

### Output per job

| Field | Description |
|---|---|
| `id` | Naukri's internal job ID. |
| `title` | Job title as posted. |
| `url` | Full URL of the job listing on Naukri. |
| `companyName` | Hiring company's name. |
| `companyId` | Naukri's internal company ID. |
| `companyRating` | AmbitionBox rating out of 5, when available for the company. |
| `companyReviewCount` | Number of AmbitionBox reviews behind that rating. |
| `location` | Job location(s); may list several cities. |
| `experience` | Required experience range, as shown on Naukri. |
| `salary` | Salary range as displayed on the listing. |
| `description` | Job description snippet. |
| `skills` | Skill tags attached to the posting. |
| `industry` | Industry category. |
| `role` | Job role category/sub-function. |
| `jobTypeFlags` | Badges such as `premium`, `easy_apply`, or `walk_in`. |
| `postedDate` | Relative posting age as shown on Naukri (e.g. "2 days ago"). |
| `postedAt` | Absolute posting timestamp (UTC), taken from Naukri's own creation time for the job when it is provided. |
| `logoUrl` | Company logo image URL. |
| `vacancies` | Number of open vacancies on the posting. |
| `applyCount` | Number of applicants shown on the posting. |
| `recruiterName` | Recruiter's name, when Naukri lists one. |
| `scrapedAt` | UTC timestamp of when the record was scraped (always present). |

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `searchUrl` | String | – | A Naukri.com search URL to scrape; its job-title/location slug and `k`/`l`/`experience`/`jobAge` query parameters are parsed automatically. Salary, job type, work mode and sort are not read from the URL — set those via their own fields below. |
| `maxItems` | Integer | `50` | Maximum number of job listings to return. |
| `keyword` | String | – | Job title or keyword. If `searchUrl` is also set, this overrides the keyword parsed from the URL. |
| `location` | String | – | City name (e.g. `bangalore`, `delhi-ncr`). If `searchUrl` is also set, this overrides the location parsed from the URL. |
| `experienceYears` | Integer | – | Years of experience required (0–30). |
| `salaryLakhs` | String (select) | – | Annual salary band in lakhs INR: `0-3`, `3-6`, `6-10`, `10-15`, `15-25`, `25+`. |
| `jobAge` | String (select) | – | Only jobs posted within the last N days: `1`, `3`, `7`, `15`, `30`. |
| `jobType` | String (select) | – | `full-time`, `part-time`, `internship`, or `contractual`. |
| `workMode` | String (select) | – | `remote` or `hybrid`. There is no office-only option: leaving it empty returns jobs of every work mode. |
| `sortBy` | String (select) | `relevance` | `relevance`, `date` (newest first), or `salary` (highest first). |

#### Example: search URL

```json
{
  "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
  "maxItems": 50
}
```

#### Example: structured filters

```json
{
  "keyword": "data scientist",
  "location": "hyderabad",
  "experienceYears": 3,
  "salaryLakhs": "10-15",
  "jobAge": "7",
  "sortBy": "date",
  "maxItems": 100
}
```

#### Example: remote internships

```json
{
  "keyword": "machine learning intern",
  "workMode": "remote",
  "jobType": "internship",
  "maxItems": 30
}
```

### Use cases

- **Recruitment agencies** building talent pipelines or tracking which roles competitors are hiring for.
- **Job seekers** automating discovery of new postings that match a skill set or city.
- **HR and compensation teams** benchmarking salary ranges for a role across companies and cities.
- **Market researchers** tracking hiring volume by industry or location over time.
- **Data teams** building a dataset of India's job market for analysis or model training.

### FAQ

**Do I need a Naukri account to use this?** No. It reads Naukri's public job search results; no login or cookies are required.

**What's the difference between pasting a URL and using the filter fields?** Pasting a `searchUrl` lets you reuse a search you already built on Naukri's site — its keyword, location, experience and job-age are read back out of the URL. The filter fields build an equivalent search from scratch when you'd rather not construct the URL yourself. If both are given, the filter fields (`keyword`, `location`, `experienceYears`, `jobAge`) override the matching value parsed from the URL; `salaryLakhs`, `jobType`, `workMode` and `sortBy` are never read from the URL, so set those directly regardless of whether `searchUrl` is used.

**How many jobs can I get in one run?** Up to the `maxItems` cap you set (maximum 800). For broader coverage than that, split your search by city, keyword, or salary band and run multiple inputs.

**Why is `companyRating` missing for some jobs?** Only companies with an AmbitionBox rating on Naukri carry this field; smaller or newer employers often don't have one yet.

**Why is `postedAt` missing when `postedDate` is present?** The two come from different values in Naukri's listing data: `postedDate` is the relative label shown on the card ("2 days ago"), while `postedAt` is Naukri's creation timestamp for the job. When Naukri omits that timestamp, only the relative label is returned.

**Can I combine multiple filters, like experience and salary and job type?** Yes — all the filter fields apply together, whether or not `searchUrl` is also set.

**How fresh is the data?** Each run queries Naukri live, so results reflect whatever is currently listed on the site at run time.

**Is this affiliated with Naukri.com?** No. This is an independent tool and is not affiliated with, endorsed by, or sponsored by Naukri.com or its owner.

# Actor input Schema

## `searchUrl` (type: `string`):

A Naukri.com search URL to scrape. Paste any URL from https://www.naukri.com — the scraper parses the slug and filters automatically. If empty, the structured filter fields below are used instead.

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

Maximum number of job listings to return. Each Naukri API page returns up to 20 jobs.

## `keyword` (type: `string`):

Job title or keyword (e.g., "python developer", "data scientist"). Used only when Search URL is empty.

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

City name (e.g., "bangalore", "delhi-ncr", "mumbai", "hyderabad"). Used only when Search URL is empty.

## `experienceYears` (type: `integer`):

Years of experience required.

## `salaryLakhs` (type: `string`):

Annual salary range in lakhs.

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

Only include jobs posted within the last N days.

## `jobType` (type: `string`):

Employment type filter.

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

Filter by remote or hybrid work. Naukri does not have an explicit 'office' filter — office is the default state of every listing, so leave this empty for office jobs.

## `sortBy` (type: `string`):

How results are ordered.

## Actor input object example

```json
{
  "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
  "maxItems": 5,
  "sortBy": "relevance"
}
```

# Actor output Schema

## `jobs` (type: `string`):

Dataset of scraped Naukri job listings

# 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 = {
    "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
    "maxItems": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("nimbryxo-studio/naukri-com-job-listings-extractor-with-salary").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 = {
    "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
    "maxItems": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("nimbryxo-studio/naukri-com-job-listings-extractor-with-salary").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 '{
  "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore",
  "maxItems": 5
}' |
apify call nimbryxo-studio/naukri-com-job-listings-extractor-with-salary --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/naukri-com-job-listings-extractor-with-salary"
        }
    }
}
```

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/Jfbzt9vLDGEVoJVyI/builds/Ni7LYah1xMt322T5c/openapi.json