# Ndis Discovery Extractor (`getdataforme/ndis-discovery-extractor`) Actor

The Ndis Discovery Parser Spider is a web scraping tool for extracting data from the NDIA website, ideal for research and analysis. It offers efficient data extraction, customizable search parameters, flexible item limits, and high-quality output....

- **URL**: https://apify.com/getdataforme/ndis-discovery-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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/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

***

## Ndis Discovery Parser Spider

### Introduction

The Ndis Discovery Parser Spider is a powerful web scraping tool designed to extract and parse data from the NDIA website. It allows users to efficiently gather information on various topics such as career pathways, job vacancies, and aged care guides. This actor streamlines data collection processes, making it invaluable for research and analysis.

### Features

- **Efficient Data Extraction**: Quickly scrape large volumes of data with minimal setup.
- **Customizable Search Parameters**: Tailor searches using specific search keys to target relevant content.
- **Flexible Item Limiting**: Control the number of items scraped per run to manage data volume.
- **High-Quality Output**: Provides structured and reliable output for easy analysis.
- **User-Friendly Interface**: Simple configuration with clear input parameters.
- **Versatile Applications**: Suitable for a wide range of use cases from market research to academic studies.

### Input Parameters Table

| Parameter   | Type    | Required | Description                                                                 | Example       |
|-------------|---------|----------|-----------------------------------------------------------------------------|---------------|
| SearchKey   | string  | No       | The search key for the spider.                                              | "care"        |
| item\_limit  | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.                | 10            |

### Example Usage

#### Input JSON

```json
{
  "SearchKey": "care",
  "item_limit": 10
}
```

#### Output JSON

```json
[
  {
    "content_type": "Landing page",
    "title": "Career pathways",
    "url": "https://www.ndis.gov.au/about-us/careers-ndia/career-pathways",
    "body": "Information about career pathways, first nations entry level programs and graduate programs.",
    "actor_id": "RfKOAXzwev0FKjIbB",
    "run_id": "SlSo6RU2whRFmVWKJ"
  },
  {
    "content_type": "Landing page",
    "title": "Careers at NDIA",
    "url": "https://www.ndis.gov.au/about-us/careers-ndia",
    "body": "Information about current job vacancies, NDIA employment conditions, entry level programs and other programs.",
    "actor_id": "RfKOAXzwev0FKjIbB",
    "run_id": "SlSo6RU2whRFmVWKJ"
  },
  {
    "content_type": "Page",
    "title": "Guide to residential aged care",
    "url": "https://www.ndis.gov.au/participants/life-transitions/transitioning-other-systems/guide-residential-aged-care",
    "body": "Know your options to live in a way that suits you best.",
    "actor_id": "RfKOAXzwev0FKjIbB",
    "run_id": "SlSo6RU2whRFmVWKJ"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data to understand market trends and opportunities.
- **Competitive Intelligence**: Monitor competitors' offerings and strategies.
- **Price Monitoring**: Track pricing changes for products or services.
- **Content Aggregation**: Compile information from various sources into a single dataset.
- **Academic Research**: Collect data for research projects and studies.
- **Business Automation**: Automate data collection processes to enhance efficiency.

### Installation and Usage

1. Search for "Ndis Discovery Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is an array of objects, each containing:

- `content_type`: Type of content (e.g., Landing page, Page).
- `title`: Title of the scraped content.
- `url`: URL of the content.
- `body`: Main text body of the content.
- `actor_id`: Unique identifier for the actor instance.
- `run_id`: Unique identifier for the run.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `SearchKey` (type: `string`):

The search key for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "SearchKey": "care",
  "item_limit": 10
}
```

# 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("getdataforme/ndis-discovery-extractor").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("getdataforme/ndis-discovery-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 getdataforme/ndis-discovery-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/ndis-discovery-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fSxQw0rWSaogyVoqW/builds/ooQCChSdE98VqVeZE/openapi.json