# Japan Property Market — 2-Site Cross Comparison (Used Condo) zi (`fruitful_quintessence/japan-property-market-scraper`) Actor

Cross-shop comparison of used condominium listings on Japan's leading real estate sites (SUUMO, at home) — Tokyo, Osaka, Nagoya, and nationwide. Includes price, size, age, station distance, and floor plans. Pay-per-event. Updated for better discoverability. Updated for better discoverability. Update

- **URL**: https://apify.com/fruitful\_quintessence/japan-property-market-scraper.md
- **Developed by:** [atushi ino](https://apify.com/fruitful_quintessence) (community)
- **Categories:** E-commerce, Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/actors/running/actors-in-store.md#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

## Japan Property Market — 2-Site Cross-Shop Comparison (Used Condo Sale)

**Compare Tokyo 23-ward used condominium sale prices across Japan's top 2 property portals in a single dataset.**

Scrapes used condo sale listings from **SUUMO (スーモ) 中古マンション** — Japan's #1 property portal — and **at home (アットホーム) 中古マンション** — the #2 portal. Each item is tagged with its `source` so you can compare sale prices for the same station/layout across portals.

> 🇨🇳 中文版: [日本二手房市场](https://apify.com/fruitful_quintessence) / 🇰🇷 한국어판: [일본 부동산 마켓](https://apify.com/fruitful_quintessence)

### Why this is useful

- **Cross-portal price comparison** — the same condo near Shibuya station often differs by 5-15% between portals
- **Market research** — track Tokyo condo price trends by ward over time
- **Investment analysis** — identify underpriced/overpriced properties before buying
- **Relocation planning** — find the best-priced property before moving to Japan

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `ward` | select | `渋谷区` | Tokyo 23 wards (千代田区, 港区, 新宿区, 渋谷区, 世田谷区, etc.) |
| `maxItems` | integer | 100 | Max items to collect |
| `maxPages` | integer | 2 | Max pages per source |
| `sources` | string | `suumo,athome` | Comma-separated source list |
| `proxyConfiguration` | object | — | Apify proxy |

### Output Sample

```json
{
  "productId": "suumo-sale-渋谷区-メゾンジャルダン-ワンルーム-0",
  "title": "メゾンジャルダン",
  "price": 29800000,
  "address": "東京都渋谷区千駄ヶ谷３-8-4",
  "station": "東京メトロ副都心線「北参道」徒歩5分",
  "layout": "ワンルーム",
  "areaSqm": "28.78m²",
  "buildingAge": "1968年1月",
  "source": "suumo_sale",
  "shop": "SUUMO 中古マンション",
  "ward": "渋谷区"
}
```

The `source` + `shop` fields let you compare the same building across portals.

### Use Cases

- **Cross-portal arbitrage** — find the same building listed cheaper on another portal
- **Price trend tracking** — schedule daily runs to monitor ward-level price movements
- **Investment research** — one dataset covering both major portals

### Pricing

Pay-per-event — **$0.00005/run start + $0.002/item**.

### Data Source

Public used condo listings from SUUMO and at home (price, address, station, layout, area, building age).

### Connect

Connect to your workflow via **Apify Connectors**: Google Sheets, Slack, or webhooks — automate price monitoring without code.

# Actor input Schema

## `statsMode` (type: `boolean`):

Enable statistics collection instead of normal item output

## `statsKeyword` (type: `string`):

Optional keyword to filter results by title (used in stats mode)

## `ward` (type: `string`):

東京都23区から選択（例: 渋谷区, 港区, 新宿区, 世田谷区）

## `maxItems` (type: `integer`):

Maximum items to collect

## `maxPages` (type: `integer`):

Max pages per source

## `sources` (type: `string`):

Comma-separated: suumo,athome

## `proxyConfiguration` (type: `object`):

Apify proxy configuration

## Actor input object example

```json
{
  "statsMode": false,
  "statsKeyword": "",
  "ward": "渋谷区",
  "maxItems": 100,
  "maxPages": 2,
  "sources": "suumo,athome",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `title` (type: `string`):

Listing title

## `price` (type: `string`):

Price/rent in JPY

## `detailUrl` (type: `string`):

Listing URL

## `shop` (type: `string`):

Site name

## `statsType` (type: `string`):

Statistics mode

## `keyword` (type: `string`):

Search keyword

## `count` (type: `string`):

Result count (integer as string)

## `priceMin` (type: `string`):

Min price (integer as string, JPY)

## `priceMax` (type: `string`):

Max price (integer as string, JPY)

## `priceAvg` (type: `string`):

Average price (number as string, JPY)

## `priceMedian` (type: `string`):

Median price (number as string, JPY)

## `sampleItems` (type: `string`):

Sample items (JSON array as string)

## `collectedAt` (type: `string`):

Collect timestamp

# 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 = {
    "ward": "渋谷区",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/japan-property-market-scraper").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 = {
    "ward": "渋谷区",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("fruitful_quintessence/japan-property-market-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "ward": "渋谷区",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call fruitful_quintessence/japan-property-market-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fruitful_quintessence/japan-property-market-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/AiXA2WVMNTaGuHoDh/builds/Y9gHxpnHvqTalsVqK/openapi.json