# Naukri Job Scraper — Clean JSON, India Jobs (`axlymxp/naukri-job-scraper`) Actor

Scrape Naukri.com jobs into clean, flat JSON — title, company, salary, skills, locations, experience, apply count and full descriptions. Search by keyword with rich filters, or fetch specific job IDs. Reliable mobile-API backend. Pay only for the results you get.

- **URL**: https://apify.com/axlymxp/naukri-job-scraper.md
- **Developed by:** [axly](https://apify.com/axlymxp) (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 $4.00 / 1,000 dataset items

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/actors/running/actors-in-store.md#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 — Clean JSON for India's Largest Job Board

Turn **Naukri.com** job listings into clean, structured JSON you can drop straight
into a spreadsheet, database, or CRM. Search by keyword with rich filters, or pull
specific job IDs — and optionally enrich every job with its full description, **live
applicant count**, deep skill list, education requirements, and company profile.

Unlike scrapers that dump the raw, deeply-nested API response, this actor emits a
**flat, one-level, documented row per job**. It runs on Naukri's **mobile API
backend**, which has no browser anti-bot challenge — so it stays reliable at scale.

### Who uses this

- **Recruiters & talent-market analysts** — track job volume, salary bands, and
  in-demand skills by role, city, and company.
- **HR-tech / job-board developers** — ingest a stable JSON schema into your app,
  no HTML parsing, no nested-envelope wrangling.
- **Labor-market researchers** — measure hiring velocity, skills frequency, and
  applicant competition (`apply_count`) across the Indian market.

### Output fields

| Field | Type | Description |
| ----- | ---- | ----------- |
| `job_id` | string | Naukri job ID |
| `title` | string | Job title |
| `job_url` | string | Canonical job page URL |
| `company_name` | string | Hiring company |
| `company_id` / `group_id` | number | Company & group identifiers |
| `posted_date` | ISO 8601 | When the job was posted |
| `posted_label` | string | Human label (e.g. "1 Day Ago") |
| `experience_text` / `experience_min` / `experience_max` | string / int | Experience required |
| `salary_min` / `salary_max` / `salary_currency` / `salary_label` / `salary_disclosed` | mixed | Salary band (often undisclosed on Naukri) |
| `work_mode` | string | Work from office / Remote / Hybrid |
| `locations` | array | Job locations |
| `skills` | array | Required skills |
| `job_role` / `role_category` / `functional_area` / `industry` | string | Role taxonomy *(details mode)* |
| `employment_type` | string | Full-time / contract etc. *(details mode)* |
| `vacancy` | number | Openings *(details mode)* |
| `apply_count` | number | **Live applicant count** *(details mode)* |
| `view_count` | number | Job views *(details mode)* |
| `walk_in` | boolean | Walk-in interview flag *(details mode)* |
| `company_rating` / `company_reviews_count` | number | AmbitionBox rating & reviews |
| `company_website` | string | Company site *(details mode)* |
| `education_ug` / `education_pg` | array | Education requirements *(details mode)* |
| `short_description` / `description_text` / `description_html` | string | Job description (plain + HTML) |
| `logo_url` | string | Company logo |
| `is_detailed` | boolean | Whether the row was detail-enriched |
| `scraped_at` | ISO 8601 | Scrape timestamp |

Fields marked *(details mode)* are populated when **Include full job details** is
on, or when a job is fetched by ID.

### High-value use cases

- **Skills-demand dashboards** — aggregate `skills` across thousands of postings to
  see which frameworks and tools are hiring.
- **Salary & compensation benchmarking** — group `salary_*` by `role_category` and
  `locations` for market comp reports.
- **Competitive hiring intelligence** — track a competitor's openings via
  `company_id`, including how many applicants each role attracts (`apply_count`).
- **Sourcing pipelines** — feed fresh, filtered job rows (by `workMode`, `jobAge`,
  `experience`) into your ATS or lead tools.
- **Academic labor-market research** — reproducible, structured snapshots of the
  Indian job market over time.

### Input parameters

| Field | Type | Default | Description |
| ----- | ---- | ------- | ----------- |
| `keywords` | array | `["python developer"]` | Titles, skills or companies to search |
| `location` | string | — | City, e.g. `bangalore` |
| `maxItems` | integer | 100 | Cap across all keywords (0 = unlimited) |
| `includeDetails` | boolean | false | Fetch full detail per job |
| `workMode` | enum | any | office / remote / hybrid |
| `sortBy` | enum | relevance | relevance / date / recommended |
| `experience` | integer | — | Years of experience |
| `jobAge` | integer | — | Posted within N days |
| `salaryRange` | string | — | Salary bucket, e.g. `6to10` |
| `resultsPerPage` | integer | 100 | Page size (max 100) |
| `jobIds` | array | — | Fetch exact job IDs (always detailed) |
| `proxyConfiguration` | object | none | Optional Apify proxy |

### Example input

```json
{
  "keywords": ["data scientist", "machine learning"],
  "location": "bangalore",
  "maxItems": 200,
  "includeDetails": true,
  "workMode": "hybrid",
  "sortBy": "date",
  "jobAge": 7
}
```

### Example output (one row)

```json
{
  "job_id": "070926918037",
  "title": "Python Developer",
  "company_name": "Appscrip",
  "locations": ["Bengaluru"],
  "experience_text": "0-1 Yrs",
  "salary_label": "Not disclosed",
  "work_mode": "Work from office",
  "skills": ["python", "fastapi", "django", "rest"],
  "apply_count": 1483,
  "role_category": "Software Development",
  "company_rating": 2.6,
  "posted_date": "2026-09-07T10:49:02+00:00",
  "job_url": "https://www.naukri.com/job-listings-python-developer-appscrip-bengaluru-0-to-1-years-070926918037",
  "is_detailed": true,
  "scraped_at": "2026-09-08T00:00:00+00:00"
}
```

### Scheduling & integrations

- **Schedule** runs (hourly/daily) from the Apify Console to keep a fresh job feed.
- **Webhooks** — trigger a downstream service when a run finishes.
- **Export** to JSON, CSV, Excel, or push to Google Sheets, Make, Zapier, or S3.
- The dataset is available via Apify's API for direct ingestion.

### Use it from an AI assistant (MCP)

This actor works with the **Apify MCP server**, so AI agents (Claude, ChatGPT, or
any MCP client) can call it as a tool — e.g. "find remote data-scientist jobs in
Bangalore posted this week" — and receive structured rows back.

### FAQ

**How many jobs can I scrape?** As many as the search returns — set `maxItems: 0`
for unlimited. Naukri search paginates reliably to thousands of results per query.

**How fresh is the data?** Live. Every run hits Naukri's API in real time; use
`sortBy: date` and `jobAge` for the newest postings.

**Why are some salaries empty?** Most Indian employers mark salary "Not disclosed"
on Naukri; `salary_disclosed` tells you which rows have real figures.

**Listing vs details mode?** Listing mode (default) is fast and cheap — search
results already include title, company, salary, skills and a short description.
Turn on **Include full job details** for apply counts, education, deep skills and
company profiles (one extra request per job).

**Is it reliable?** The actor uses Naukri's mobile API backend, which has no
browser anti-bot challenge, so it doesn't break the way HTML/web scrapers do when
the site changes.

**Is scraping this legal?** The actor collects only publicly available job
listings. You are responsible for using the data in line with Naukri's terms and
applicable laws (e.g. GDPR) in your jurisdiction.

**Support?** Issues are monitored and typically answered within 24 hours.

# Actor input Schema

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

Job titles, skills or companies to search, e.g. 'python developer', 'data scientist', 'Infosys'. Each keyword is paginated up to Max results.

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

City to filter by, e.g. 'bangalore', 'mumbai', 'delhi'. Leave empty to search all of India.

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

Stop after this many jobs across all keywords (0 = unlimited).

## `includeDetails` (type: `boolean`):

Open each job for the full description, apply count, deep skill list, education requirements and company profile. Adds one request per job. Leave off for a fast, cheap listing-only crawl (search results already include salary, skills and a short description).

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

Filter by where the job is done.

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

Result ordering.

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

Filter to jobs matching this many years of experience.

## `jobAge` (type: `integer`):

Only jobs posted within this many days (e.g. 1, 3, 7, 15, 30).

## `salaryRange` (type: `string`):

Annual salary band in lakhs (Naukri bucket id), e.g. '3to6', '6to10', '10to15', '15to25', '25to50'.

## `resultsPerPage` (type: `integer`):

Page size for the search API (max 100). Lower values only change request granularity, not totals.

## `jobIds` (type: `array`):

Fetch these exact Naukri job IDs directly (the trailing number in a job URL, e.g. '070926918037'). Always fetched with full details.

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

Optional. The scraper works without a proxy; add one for very large runs or if your region is rate limited.

## Actor input object example

```json
{
  "keywords": [
    "python developer",
    "data scientist"
  ],
  "location": "bangalore",
  "maxItems": 100,
  "includeDetails": false,
  "workMode": "",
  "sortBy": "relevance",
  "salaryRange": "6to10",
  "resultsPerPage": 100,
  "jobIds": [
    "070926918037"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Every scraped job as a clean, flat JSON row — title, company, salary, skills, locations, experience, apply count and description.

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/naukri-job-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"] }

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/naukri-job-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"
  ]
}' |
apify call axlymxp/naukri-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axlymxp/naukri-job-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/9a9qypPDBEnczeDfW/builds/eqYnrlBp4XiXL1YTZ/openapi.json