# Shine Jobs Scraper — India Job Board Data Extractor (`fervent_bus/shine-jobs-scraper`) Actor

Extract job listings from Shine.com, Indias 2nd-largest job portal (3M+ monthly users). Get titles, companies, salaries, locations, experience requirements. Perfect for recruiters, AI job matching, and market research. Works with Claude, ChatGPT, and AI agents via Apify MCP. No login required.

- **URL**: https://apify.com/fervent\_bus/shine-jobs-scraper.md
- **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Shine.com Jobs Scraper

Scrape job listings from Shine.com, India's second-largest online job portal with over 3 million monthly visitors.

### Features

- ✅ Extract job titles, companies, locations, salaries, and experience requirements
- ✅ Search by keywords and location
- ✅ Configurable result limits
- ✅ No login required
- ✅ Compatible with Claude, ChatGPT & AI agents via Apify MCP

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `searchQuery` | string | Job search keywords (e.g., 'data analyst', 'software engineer') | `"jobs"` |
| `location` | string | City or location (e.g., 'Mumbai', 'Bangalore') | `""` (all) |
| `maxResults` | integer | Maximum number of jobs to scrape | `100` |

### Output

Each job listing contains:

- `jobId` - Unique job identifier
- `title` - Job position title
- `company` - Hiring company name
- `location` - Job location
- `experience` - Required experience level
- `salary` - Salary range (if available)
- `url` - Direct link to job posting
- `scrapedAt` - Timestamp

### Example Input

```json
{
  "searchQuery": "data analyst",
  "location": "Bangalore",
  "maxResults": 50
}
```

### Example Output

```json
{
  "jobId": "12345678",
  "title": "Senior Data Analyst",
  "company": "Tech Solutions India",
  "location": "Bangalore / Bengaluru",
  "experience": "3-5 years",
  "salary": "₹8-12 LPA",
  "url": "https://www.shine.com/job/12345678",
  "scrapedAt": "2026-08-19T06:00:00.000Z"
}
```

### Pricing

- **$0.005 per result** ($5 per 1,000 jobs)
- **$0.05 actor start fee** (one-time per run)

### Use Cases

- 📊 Job market analysis and salary benchmarking
- 🎯 Recruitment and candidate sourcing
- 📈 Track hiring trends in India
- 🤖 AI-powered job matching and recommendations
- 📧 Job alert aggregation

# Actor input Schema

## `searchQuery` (type: `string`):

Job search keywords (e.g., 'data analyst', 'software engineer', 'marketing')

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

City or location to search in (e.g., 'Mumbai', 'Bangalore', 'Delhi'). Leave empty for all locations.

## `maxResults` (type: `integer`):

Maximum number of job listings to scrape

## Actor input object example

```json
{
  "searchQuery": "jobs",
  "location": "",
  "maxResults": 100
}
```

# Actor output Schema

## `jobId` (type: `string`):

Unique job identifier

## `title` (type: `string`):

Job position title

## `company` (type: `string`):

Hiring company name

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

Job location

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

Required experience level

## `salary` (type: `string`):

Salary or compensation range

## `url` (type: `string`):

Direct link to job posting

## `scrapedAt` (type: `string`):

Timestamp when data was scraped

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fervent_bus/shine-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("fervent_bus/shine-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 '{}' |
apify call fervent_bus/shine-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fervent_bus/shine-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/x2hfum94YDXI94hE8/builds/saxoMdMDRQBWznHgQ/openapi.json