# Shine Jobs India — experience, salary LPA, skills & only-new (`boliveira/shine-jobs`) Actor

Scrape India job listings from Shine.com by keyword and city, with experience range, salary in LPA, key skills, industry, department and an only-new monitoring mode for daily job alerts.

- **URL**: https://apify.com/boliveira/shine-jobs.md
- **Developed by:** [Bruno Scherer Oliveira](https://apify.com/boliveira) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.75 / 1,000 job delivereds

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?

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

## Shine Jobs India — experience, salary LPA, skills & only-new

Scrape job listings from **Shine.com**, one of India's established job portals, by **keyword and city**. Each job
comes with the **experience range in years**, **salary in lakh per annum (LPA)** when disclosed, **key skills**,
**industry and department**, seniority, employer, all job locations and posting/expiry dates. Turn on **"Only new
jobs"** and schedule a daily run to receive only listings added since the previous run.

### Use cases

- **Job alerts** for a role and city, sent to email, Slack, Telegram or Google Sheets.
- **Recruiters and staffing firms**: track who is hiring for which skills in Bangalore, Pune, Hyderabad, NCR…
- **Salary and skills research**: disclosed LPA ranges and key skills by role, experience and city.
- **HR-tech and labour-market dashboards**: daily feeds of new openings by industry and department.

### Input

```json
{
  "queries": ["data analyst", "java developer"],
  "cities": ["bangalore", "pune"],
  "minAnnualSalaryLpa": 6,
  "publishedWithinDays": 7,
  "onlyNew": true,
  "maxItems": 200
}
```

An unknown keyword is reported in the log. Expired listings are skipped by default.

### Output (example)

```json
{
  "id": "19897911",
  "title": "Data Analyst",
  "company": "Example Staffing Pvt Ltd",
  "locations": ["Pune, Maharashtra"],
  "experienceText": "5 to 10 Yrs",
  "experienceMinYears": 5,
  "experienceMaxYears": 10,
  "seniority": "mid",
  "salaryText": "7 - 26 Lakh/Yr",
  "salaryMin": 700000,
  "salaryMax": 2600000,
  "salaryPeriod": "year",
  "salaryAnnualMinLpa": 7,
  "salaryAnnualMaxLpa": 26,
  "keySkills": ["Python", "SQL", "Machine Learning"],
  "skills": ["python", "sql", "machine learning"],
  "industry": "IT Services & Consulting",
  "department": "Data Science & Analytics",
  "jobType": "Full Time",
  "badges": ["Actively Hiring"],
  "datePosted": "2026-10-27T13:31:26+05:30",
  "validThrough": "2026-11-11T13:31:22+05:30",
  "url": "https://www.shine.com/jobs/data-analyst/...",
  "description": "…"
}
```

`keySkills` are the employer's tags; `skills`, `benefits` and `seniority` are inferred from the text and can be empty.

### Pricing

Pay per event: you pay per job delivered. Filtered, expired or already-delivered jobs ("only new" mode) are never
charged.

### Fair use

- Uses only Shine's public search and job pages (no `/api/` endpoints, as Shine's `robots.txt` asks), with an honest
  bot user agent and about one request per second.
- Collects job and employer data only — no candidate data, no recruiter contact details.
- Not affiliated with or endorsed by Shine.com.

# Actor input Schema

## `queries` (type: `array`):

e.g. "data analyst", "java developer", "sales executive". Empty = all jobs.

## `cities` (type: `array`):

Empty = all of India.

## `minAnnualSalaryLpa` (type: `number`):

Only jobs whose maximum salary is at least this many lakh per annum. Jobs with undisclosed salary are excluded when set.

## `publishedWithinDays` (type: `integer`):

Leave empty for any date.

## `onlyNew` (type: `boolean`):

Remembers jobs delivered by previous runs with the same search and returns only new ones. Ideal for a daily schedule.

## `includeExpired` (type: `boolean`):

Listings past their validThrough date are skipped unless this is on.

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

Limit per keyword and city combination.

## `includeDescription` (type: `boolean`):

Include the full job description text.

## Actor input object example

```json
{
  "queries": [
    "data analyst"
  ],
  "onlyNew": false,
  "includeExpired": false,
  "maxItems": 100,
  "includeDescription": true
}
```

# Actor output Schema

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

Dataset with one enriched job per item (experience range, salary in LPA, key skills, industry, department).

## `summary` (type: `string`):

RUN_SUMMARY record: item count, failures and run settings.

# 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 = {
    "queries": [
        "data analyst"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("boliveira/shine-jobs").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 = { "queries": ["data analyst"] }

# Run the Actor and wait for it to finish
run = client.actor("boliveira/shine-jobs").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 '{
  "queries": [
    "data analyst"
  ]
}' |
apify call boliveira/shine-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,boliveira/shine-jobs"
        }
    }
}
```

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/GA33B074Ls5b7aF1i/builds/Pcee5bCmUXWD90Uqm/openapi.json