# Naukri Job & Salary Deep Scraper (`excitable_pickle/naukri-job-deep-scraper`) Actor
Deeply extract job postings from Naukri.com with salary in INR Lakhs, experience ranges, employer ratings, required skills, and direct apply links.
- **URL**: https://apify.com/excitable\_pickle/naukri-job-deep-scraper.md
- **Developed by:** [Pavan](https://apify.com/excitable_pickle) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $5.00 / 1,000 results
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 & Salary Deep Scraper
> **High-performance scraper for India's #1 job portal (Naukri.com). Extracts salaries in INR Lakhs (min/max), required experience, company ratings, required skills, and direct apply links.**
[](https://apify.com)
[](https://www.typescriptlang.org/)
[](LICENSE)
***
### 💰 Why This Actor Sells on Apify Store
India is the world's fastest-growing tech and engineering hub, with thousands of Global Capability Centers (GCCs), IT service giants, and funded startups hiring daily.
Recruitment agencies, offshore staffing firms, and market research analysts need continuous job market intelligence from **Naukri.com**.
#### 💵 Recommended Monetization Strategy
- **Pay-per-result (PPR)**: Charge **$0.003 to $0.005 per job listing** (~$4.00 per 1,000 jobs).
- **Monthly Rental**: Charge **$39 to $59 / month** for recruiters running automated daily job feeds.
***
### ✨ Supercharged Features
- 💵 **Normalized Salary Extraction**: Automatically extracts min and max annual salary in INR Lakhs (e.g. `12 - 18 Lacs PA` -> `min: 12.0`, `max: 18.0`).
- ⏳ **Experience Range Parsing**: Normalizes experience requirements (e.g. `3 - 6 Yrs` -> `min: 3`, `max: 6`).
- ⭐ **Employer Ratings & Reviews**: Captures AmbitionBox company ratings and review counts to filter out low-quality employers.
- 🏷️ **Skill & Technology Extraction**: Tags key Indian tech skills (`Java`, `Spring Boot`, `React`, `AWS`, `Python`, `Microservices`).
- 📍 **Multi-City & Remote Support**: Full support for Bangalore, Hyderabad, Pune, Delhi / NCR, Mumbai, Chennai, and Remote roles.
- 🛡️ **Akamai WAF Resilience**: Supports Apify Residential Proxies and includes an automated high-reliability search fallback.
***
### 📥 Input Configuration
| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `keyword` | String | `"React Developer"` | Role, skill, or title to search on Naukri. |
| `location` | String | `"Bangalore"` | Target city or region (e.g. `Bangalore`, `Hyderabad`, `Pune`, `Remote`). |
| `experienceYears` | String | `"all"` | `"all"`, `"0-2"`, `"3-5"`, `"5-8"`, `"8-12"`, `"12+"`. |
| `remoteOnly` | Boolean | `false` | Only return Remote / WFH positions. |
| `maxJobs` | Integer | `30` | Maximum job postings to extract. |
***
### 📤 Sample Output
```json
{
"jobId": "240826001234",
"title": "Senior React Native Developer",
"companyName": "Swiggy",
"companyRating": 4.2,
"companyReviewsCount": "4,500 reviews",
"location": "Bangalore/Bengaluru",
"salaryText": "18-28 Lacs PA",
"salaryMinLakhs": 18,
"salaryMaxLakhs": 28,
"experienceText": "4-7 Yrs",
"experienceMin": 4,
"experienceMax": 7,
"skills": ["React Native", "Redux", "TypeScript", "iOS", "Android"],
"isRemote": false,
"applyUrl": "https://www.naukri.com/job-listings-senior-react-native-developer-swiggy-240826001234",
"postedAt": "2026-09-08",
"jobDescription": "Looking for senior mobile engineers to architect core consumer delivery apps..."
}
```
***
### 📄 License
Apache-2.0
# Actor input Schema
## `keyword` (type: `string`):
Role, skill, or keyword to search (e.g. 'React Developer', 'Java', 'Data Analyst', 'DevOps Engineer').
## `location` (type: `string`):
Target city or region (e.g. 'Bangalore', 'Hyderabad', 'Pune', 'Delhi / NCR', 'Mumbai', 'Remote').
## `experienceYears` (type: `string`):
Filter by years of professional experience.
## `remoteOnly` (type: `boolean`):
Filter strictly for Remote or Work From Home positions.
## `maxJobs` (type: `integer`):
Maximum number of job listings to extract.
## `proxyConfiguration` (type: `object`):
Apify Proxy settings. Residential proxy recommended for large-scale runs to bypass Akamai WAF.
## Actor input object example
```json
{
"keyword": "React Developer",
"location": "Bangalore",
"experienceYears": "all",
"remoteOnly": false,
"maxJobs": 30,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `results` (type: `string`):
No description
## `summary` (type: `string`):
No 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keyword": "React Developer",
"location": "Bangalore"
};
// Run the Actor and wait for it to finish
const run = await client.actor("excitable_pickle/naukri-job-deep-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keyword": "React Developer",
"location": "Bangalore",
}
# Run the Actor and wait for it to finish
run = client.actor("excitable_pickle/naukri-job-deep-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 '{
"keyword": "React Developer",
"location": "Bangalore"
}' |
apify call excitable_pickle/naukri-job-deep-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,excitable_pickle/naukri-job-deep-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 ` 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/i4OjEJvzOAbUBQhaq/builds/RSVm2dRAzTXEcx5hp/openapi.json