# Housing Market Predictions 2027 — ZIP-Level Forecasts

**Use case:** 

12-month home-price forecasts for every ZIP in a metro — forecast value ($) and % change, plus market hotness scores. Export CSV/JSON, no API key.

## Input

```json
{
  "locations": [
    "Dallas, TX"
  ],
  "layers": [
    "HousingForecast",
    "MarketHotness"
  ],
  "relativeYear": "0"
}
```

## Output

```json
{
  "rowType": {
    "label": "Type",
    "format": "text"
  },
  "layer": {
    "label": "Layer",
    "format": "text"
  },
  "locationQuery": {
    "label": "Query",
    "format": "text"
  },
  "regionName": {
    "label": "Region",
    "format": "text"
  },
  "postalCode": {
    "label": "ZIP",
    "format": "text"
  },
  "hotnessScore": {
    "label": "Hotness",
    "format": "number"
  },
  "hotnessLabel": {
    "label": "Band",
    "format": "text"
  },
  "forecastAmount": {
    "label": "Forecast $",
    "format": "number"
  },
  "forecastPercentage": {
    "label": "Forecast %",
    "format": "number"
  },
  "metricName": {
    "label": "Metric",
    "format": "text"
  },
  "metricValue": {
    "label": "Value",
    "format": "number"
  },
  "homeCount": {
    "label": "Homes",
    "format": "number"
  },
  "latitude": {
    "label": "Lat",
    "format": "number"
  },
  "longitude": {
    "label": "Lng",
    "format": "number"
  },
  "schoolName": {
    "label": "School",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "fetchedAt": {
    "label": "Fetched",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Realtor.com Market Data Scraper — Hotness, Forecast, Schools](https://apify.com/sian.agency/realtor-market-analytics-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/realtor-market-analytics-scraper) to learn more, explore other use cases, and run it yourself.