# Israel Neighbourhood Report — Schools, Planning, Demographics

**Use case:** 

One row per Israeli neighbourhood: demographics, the price table, the school roster with catchment polygons, planning notes and residents' own opinions.

## Input

```json
{
  "operation": "areaReport",
  "areaUrls": [],
  "cities": [
    "תל אביב יפו"
  ],
  "neighbourhoods": [
    "רמת הטייסים"
  ],
  "maxResults": 10,
  "fromYear": 0,
  "toYear": 0,
  "minPrice": 0,
  "maxPrice": 0,
  "minRooms": 0,
  "maxRooms": 0,
  "minSizeSqm": 0,
  "maxSizeSqm": 0,
  "benchmarkSizes": [],
  "buildCondition": "all"
}
```

## Output

```json
{
  "recordType": {
    "label": "🧾 Record type",
    "format": "string"
  },
  "areaName": {
    "label": "📍 Area",
    "format": "string"
  },
  "areaType": {
    "label": "🗺️ Area level",
    "format": "string"
  },
  "areaDocId": {
    "label": "🆔 Area ID",
    "format": "string"
  },
  "city": {
    "label": "🏙️ City",
    "format": "string"
  },
  "neighborhood": {
    "label": "🏘️ Neighbourhood",
    "format": "string"
  },
  "district": {
    "label": "🗺️ District",
    "format": "string"
  },
  "areaDescription": {
    "label": "📝 Area description",
    "format": "string"
  },
  "listingsForSaleCount": {
    "label": "🏷️ Listed for sale",
    "format": "number"
  },
  "listingsForRentCount": {
    "label": "🔑 Listed for rent",
    "format": "number"
  },
  "popularParty": {
    "label": "🗳️ Leading party",
    "format": "string"
  },
  "schoolsInNeighbourhoodCount": {
    "label": "🏫 Schools here",
    "format": "number"
  },
  "schoolsInCityCount": {
    "label": "🏫 Schools in city",
    "format": "number"
  },
  "ageDistribution": {
    "label": "👥 Ages (%)",
    "format": "array"
  },
  "ethnicDistribution": {
    "label": "🌍 Origins (%)",
    "format": "array"
  },
  "aliyaDistribution": {
    "label": "✈️ Immigration (%)",
    "format": "array"
  },
  "pricesByRooms": {
    "label": "💹 Price table",
    "format": "array"
  },
  "schools": {
    "label": "🏫 Schools",
    "format": "array"
  },
  "analystNotes": {
    "label": "🧠 Analyst notes",
    "format": "array"
  },
  "residentOpinions": {
    "label": "💬 Resident opinions",
    "format": "array"
  },
  "sourceUrl": {
    "label": "🔗 Source page",
    "format": "string"
  },
  "scrapedAt": {
    "label": "🕒 Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Madlan Scraper - Israel Sold Prices & Neighbourhood Data](https://apify.com/sian.agency/madlan-property-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/madlan-property-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

- **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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/madlan-property-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).
