# Connect OnTheHouse Valuations & Suburb Trends to AI Agents

**Use case:** 

A structured feed for AI agents: run through the Apify API or MCP and receive valuations, history, contacts and suburb metrics as JSON rows.

## Input

```json
{
  "channel": "buy",
  "state": "QLD",
  "suburb": "Buderim",
  "postcode": "4556",
  "includeDetails": true,
  "maxDetails": 50,
  "maxPages": 1,
  "maxItems": 10,
  "onlyEmitChanges": false,
  "includeRemovedListings": false,
  "stateKey": "default",
  "minDaysOnMarket": 0,
  "suburbs": []
}
```

## Output

```json
{
  "listingId": {
    "label": "Listing ID",
    "format": "string"
  },
  "channel": {
    "label": "Channel",
    "format": "string"
  },
  "propertyType": {
    "label": "Property type",
    "format": "string"
  },
  "fullAddress": {
    "label": "Full address",
    "format": "string"
  },
  "suburb": {
    "label": "Suburb",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "postcode": {
    "label": "Postcode",
    "format": "string"
  },
  "priceDisplay": {
    "label": "Price display",
    "format": "string"
  },
  "priceNumeric": {
    "label": "Price (number)",
    "format": "integer"
  },
  "sold_date": {
    "label": "Sold date",
    "format": "string"
  },
  "estimate_value": {
    "label": "Estimate value",
    "format": "integer"
  },
  "changeStatus": {
    "label": "Change status",
    "format": "string"
  },
  "daysOnMarket": {
    "label": "Days on market",
    "format": "integer"
  },
  "bedrooms": {
    "label": "Bedrooms",
    "format": "integer"
  },
  "bathrooms": {
    "label": "Bathrooms",
    "format": "integer"
  },
  "carSpaces": {
    "label": "Car spaces",
    "format": "integer"
  },
  "landSizeSqm": {
    "label": "Land size (sqm)",
    "format": "integer"
  },
  "agent1_name": {
    "label": "Agent",
    "format": "string"
  },
  "agent1_phone": {
    "label": "Agent phone",
    "format": "string"
  },
  "agency_name": {
    "label": "Agency",
    "format": "string"
  },
  "suburb_median_value": {
    "label": "Suburb median value",
    "format": "number"
  },
  "suburb_rental_yield_pct": {
    "label": "Suburb rental yield %",
    "format": "number"
  },
  "listingUrl": {
    "label": "Listing URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The OnTheHouse.com.au Scraper: Sold History & Valuations Actor is ready to run with the inputs already set for "Connect OnTheHouse Valuations & Suburb Trends to AI Agents". [Sign up or log in](https://console.apify.com/create-task-from-example/zakZD6hwramudTaNQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Connect OnTheHouse Valuations & Suburb Trends to AI Agents" task

The OnTheHouse.com.au Scraper: Sold History & Valuations Actor will start running based on the input automatically. You can also change all the input fields, like channel, state, and more, to match your specific use case.

### 3. Receive the "Connect OnTheHouse Valuations & Suburb Trends to AI Agents" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as listing id, channel, property type, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Connect OnTheHouse Valuations & Suburb Trends to AI Agents" task via API](https://apify.com/kotaro001/onthehouse-com-au-scraper.md).

## FAQ

### How does an agent call it?

Through the Apify MCP server or the Run Actor API with a JSON input.

### What does the agent receive?

Dataset rows with valuation, history, contacts and suburb metrics.

### Is there an output schema?

Yes, the dataset schema lists every field and type.

### Can it run on a schedule?

Yes, schedule the task and the agent reads the latest dataset.

## About this Actor

This example demonstrates how to use [OnTheHouse.com.au Scraper: Sold History & Valuations](https://apify.com/kotaro001/onthehouse-com-au-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kotaro001/onthehouse-com-au-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kotaro001/onthehouse-com-au-scraper.md

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`).