# Mlit Japan Property Prices (`fruitful_quintessence/mlit-japan-property-prices`) Actor

Japan real estate transaction prices (MLIT XIT001) — 47 prefectures, 2005-present. Government open data API for overseas investors and data analytics firms.

- **URL**: https://apify.com/fruitful_quintessence/mlit-japan-property-prices.md
- **Developed by:** [atushi ino](https://apify.com/fruitful_quintessence) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## MLIT Japan Real Estate Transaction Prices — Official Land-Transport Ministry Data API

Apify actor for **MLIT 不動産価格（取引価格・成約価格）情報** — official Japanese real-estate transaction prices published by the Ministry of Land, Infrastructure, Transport and Tourism (国土交通省), accessed through the government **Reinfolib XIT001 API**.

- Coverage: **all 47 prefectures**, **2005-Q3 to present** (~20 years of quarterly transaction data)
- Data: transaction price (total / per sqm / per tsubo), area, floor plan, building year, structure, use, road frontage, city planning zone, coverage/floor-area ratios, station proximity
- Languages: Japanese or English output (`language: "en"` for international buyers)
- **BYOK**: bring your own free MLIT API key (register at https://www.reinfolib.mlit.go.jp/ → API利用申請, issued instantly, no cost)

### Why this actor for AI agents

- Structured JSON output with a stable schema — directly consumable by LLM tool calls
- Works as a data backbone for Japan property valuation, investment screening and market-report agents
- Public government data (CC-BY 4.0 equivalent) — no robots.txt or TOS risk for downstream resale

### Input

```json
{
  "mlitApiKey": "your-mlit-key",
  "prefectureCodes": ["13", "14"],
  "yearFrom": 2023,
  "yearTo": 2025,
  "quarterFrom": 1,
  "quarterTo": 4,
  "priceClassification": "01",
  "language": "en",
  "maxRequests": 50
}
```

| Field | Type | Default | Description |
|---|---|---|---|
| `mlitApiKey` | string | — | Your free MLIT API key (BYOK). Also read from `MLIT_API_KEY` env var. |
| `prefectureCodes` | array | all 47 | Two-digit codes, e.g. `["13"]` = Tokyo |
| `yearFrom` / `yearTo` | int | 2023 / 2025 | 2005–2026 |
| `quarterFrom` / `quarterTo` | int | 1 / 4 | 1–4 (Jan–Mar, Apr–Jun, Jul–Sep, Oct–Dec) |
| `priceClassification` | string | `"01"` | `01` transaction prices, `02` contract prices, `""` both |
| `language` | string | `"en"` | `ja` or `en` |
| `maxRequests` | int | 50 | Safety cap on upstream API calls |

### Output

One dataset record per transaction, fields as published in the XIT001 manual plus:
`sourceApi`, `sourceUrl`, `prefectureCode`, `prefectureName`, `transactionYear`, `transactionQuarter`, `fetchedAt`.

```json
{
  "Type": "Land (with building)",
  "MunicipalityCode": "13102",
  "Prefecture": "Tokyo",
  "Municipality": "Chuo-ku",
  "DistrictName": "Nihonbashi Koamicho",
  "TradePrice": "85000000",
  "PricePerUnit": "1100000",
  "FloorPlan": "Office",
  "Area": "80",
  "BuildingYear": "1972",
  "CoverageRatio": "80",
  "FloorAreaRatio": "500",
  "Period": "2015 2nd quarter",
  "prefectureName": "Tokyo",
  "fetchedAt": "2026-10-07T06:00:00Z"
}
```

### Pricing

Pay-per-event: **$0.00005 per Actor Start + $0.005 per dataset record returned.** No subscription.

### Use cases

- Foreign real-estate investors: price benchmarks by Tokyo/Osaka district over 20 years
- Data & analytics companies: ML training sets for AVM (automated valuation models) on Japan
- AI agents via MCP: ask "average apartment transaction price per sqm in Shibuya 2023-2025" and compute from this dataset

### Source & license

- https://www.reinfolib.mlit.go.jp/ (国土交通省 不動産情報ライブラリ)
- Government open data; cite the source when republishing (CC-BY 4.0 equivalent terms).

# Actor input Schema

## `mlitApiKey` (type: `string`):

Your free API key from https://www.reinfolib.mlit.go.jp/ (API利用申請). Also read from MLIT_API_KEY env var if set.

## `prefectureCodes` (type: `array`):

Two-digit prefecture codes (01-47). Omit for all 47. Example: \["13", "27"]

## `yearFrom` (type: `integer`):

Starting year (2005-2026). Transaction prices start at 2005.

## `yearTo` (type: `integer`):

Ending year (2005-2026).

## `quarterFrom` (type: `integer`):

First quarter of yearFrom to fetch (1-4).

## `quarterTo` (type: `integer`):

Last quarter of yearTo to fetch (1-4).

## `priceClassification` (type: `string`):

01 = transaction prices only, 02 = contract prices only, empty = both.

## `language` (type: `string`):

ja = Japanese, en = English.

## `maxRequests` (type: `integer`):

Safety cap on MLIT XIT001 calls (each call = one prefecture x year x quarter).

## Actor input object example

```json
{
  "yearFrom": 2023,
  "yearTo": 2025,
  "quarterFrom": 1,
  "quarterTo": 4,
  "priceClassification": "01",
  "language": "en",
  "maxRequests": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

Default dataset: one record per transaction with price, area, location, building and zoning fields.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/mlit-japan-property-prices").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("fruitful_quintessence/mlit-japan-property-prices").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 '{}' |
apify call fruitful_quintessence/mlit-japan-property-prices --silent --output-dataset

```

## MCP server setup

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

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/ykFU6apmNgzFXgvkO/builds/JORXhmi2d4xeYrFrS/openapi.json