# UK Sold Prices Sweep by Town

**Use case:** 

Sweep every recorded sale in a UK town or neighbourhood: address, sale date, price paid, bedrooms and property type. Thousands of rows per run.

## Input

```json
{
  "searchMode": "byArea",
  "platforms": [
    "zoopla",
    "rightmove"
  ],
  "addresses": [
    "1875 AVONDALE Circle, Jacksonville, FL 32205"
  ],
  "areas": [
    "Oxford"
  ],
  "soldInYears": 5,
  "yearFrom": 2018,
  "yearTo": 2024,
  "maxResults": 25
}
```

## Output

```json
{
  "sourcePlatform": {
    "label": "🔎 Source",
    "format": "string"
  },
  "country": {
    "label": "🌐 Country",
    "format": "string"
  },
  "address": {
    "label": "📍 Address",
    "format": "string"
  },
  "saleDate": {
    "label": "📅 Sale date",
    "format": "string"
  },
  "year": {
    "label": "📅 Year",
    "format": "integer"
  },
  "salePrice": {
    "label": "💲 Sale price",
    "format": "number"
  },
  "currency": {
    "label": "Curr",
    "format": "string"
  },
  "pricePerSquareFoot": {
    "label": "$/sqft",
    "format": "number"
  },
  "squareFeet": {
    "label": "Sqft",
    "format": "integer"
  },
  "propertyType": {
    "label": "🗂️ Type",
    "format": "string"
  },
  "bedrooms": {
    "label": "Bd",
    "format": "integer"
  },
  "bathrooms": {
    "label": "Ba",
    "format": "integer"
  },
  "tenure": {
    "label": "Tenure",
    "format": "string"
  },
  "postcode": {
    "label": "🏷️ Postcode",
    "format": "string"
  },
  "sourceId": {
    "label": "🏷️ Source ID",
    "format": "string"
  },
  "sourceUrl": {
    "label": "🔗 URL",
    "format": "string"
  },
  "queryInput": {
    "label": "Query",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sold Prices Forensics — Cross-Border Comp Data API](https://apify.com/sian.agency/sold-prices-forensics-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/sold-prices-forensics-scraper.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/sold-prices-forensics-scraper.md

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).