Mansion Review Scraper — Japan Condo Valuation Data & API 🏯

🎉 The only scraper for Japan's condo resale-VALUATION database — a full monthly price-per-tsubo (坪単価) history for every building, not just live listings

Built for analysts, investors and proptech teams who need real condo price trends, not for-sale ads

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📋 Overview

Most Japan real-estate scrapers give you today's for-sale ads. This one gives you the valuation — one clean record per building with its complete monthly resale price-per-tsubo (坪単価) history, the deviation score (偏差値), user rating, current listed-price range, and city/town/station benchmark series to compare against. It's the difference between a snapshot and a trend line.

Why analysts and investors choose this actor:

• ✅ One record per building, not per ad: A deduplicated, building-level dataset — the right shape for valuation and trend work.
• 📈 Full resale price history: Monthly 坪単価 series going back ~15 years (200+ points per building), plus month-over-month and year-over-year change pre-computed.
• 🎯 Built-in benchmarks: City, town and per-station 坪単価 benchmark series ship in the same record — compare any building to its market instantly.
• 💴 Analyst-ready KPIs: Latest 坪単価 converted to ¥/m², deviation score, rating, listed-price range, build year, floors and total units — no post-processing.
• 💰 Pay only per building: Transparent pay-per-result pricing. No charge until your input is validated.
• ✨ Two ways to target: Sweep a whole area (prefecture / city / town / station / line) or pull specific buildings by URL or ID.

✨ Features

• 🏯 Building-level valuations: One row per condo building with its 坪単価 resale series and meta.
• 📈 Monthly price series: Up to ~15 years of monthly resale price-per-tsubo points per building.
• 📊 Pre-computed momentum: Month-over-month and year-over-year % change calculated for you.
• 🧭 Market benchmarks: City, town and per-station benchmark series in every record.
• 🔑 Optional rent series: Add each building's chintai (rent) 坪単価 series for yield analysis.
• 📍 Area sweep or pinpoint: Discover every building in an area, or value exact buildings by URL/ID.
• 💴 Currency-correct: All prices in JPY, 坪単価 kept in the native ¥10k/tsubo unit and converted to ¥/m².
• 🗂️ Clean exports: JSON, CSV and Excel straight from the Apify dataset — feed a dashboard or an API.

🎬 Quick Start

Paste an area URL (or a few building IDs), set how many buildings you want, and run. You get a structured dataset with one valuation record per building.

curl -X POST https://api.apify.com/v2/acts/sian.agency~mansion-review-valuation-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"searchMode":"byArea","areaUrls":["https://www.mansion-review.jp/mansion/city/667.html"],"maxResults":25}'

🚀 Getting Started (3 Simple Steps)

Step 1: Choose how to target

Pick By area to sweep a prefecture / city / town / station page, or By building to value specific buildings by URL or ID.

Step 2: Paste your targets

Drop in one or more area URLs (or building URLs/IDs), and set the max number of buildings and the price-series window.

Step 3: Run and export

Start the run. Download your valuation dataset as JSON, CSV or Excel — or pull it via the API.

That's it! In a couple of minutes, you'll have:

• A deduplicated, building-level valuation dataset
• A full monthly 坪単価 resale history per building
• City / town / station benchmarks to compare against

📥 Input Configuration

Field	Type	Required	Description
searchMode	string	No	byArea (sweep an index/hub page) or byBuildingId (specific buildings). Default byArea.
areaUrls	array	No	mansion-review.jp index/hub URLs (prefecture/city/town/station). Used in byArea mode.
areaKind	string	No	Area kind (prefecture/city/town/station/line/ranking) — alternative to a URL.
areaId	string	No	Numeric ID for the chosen area kind (e.g. 667).
buildingIds	array	No	Building URLs or numeric IDs. Used in byBuildingId mode.
maxResults	integer	No	Max buildings per run (FREE: 25, PAID: unlimited). Default 100.
yearsAgo	integer	No	Years of monthly price history to pull. Default 10.
includeRentSouba	boolean	No	Also fetch each building's rent (chintai) 坪単価 series. Default false.

Example — sweep a city:

{
  "searchMode": "byArea",
  "areaUrls": ["https://www.mansion-review.jp/mansion/city/667.html"],
  "maxResults": 50
}

Example — value specific buildings with rent series:

{
  "searchMode": "byBuildingId",
  "buildingIds": ["763410", "1434087"],
  "includeRentSouba": true
}

📤 Output

Results are saved to the Apify dataset with 40+ fields including:

Field	Type	Description
id	string	Building identifier
name	string	Condo / building name
latest_tsubo_tanka	number	Most recent monthly resale price per tsubo (¥10k/tsubo)
latest_price_per_sqm_jpy	integer	Latest price per m² (¥)
mom_change_pct	number	Month-over-month % change
yoy_change_pct	number	Year-over-year % change
deviation_score	integer	Condo deviation score (偏差値)
rating_value	number	Aggregate user rating
listed_low_price / listed_high_price	integer	Current listed-price range (¥)
tsubo_tanka_series	object	Full monthly resale series keyed by YYYYMM
city_tsubo_tanka_series	object	City-level benchmark series
built_year / total_units / floors_above	integer	Building attributes
nearest_station / station_access	string	Station name and access text

Example:

{
  "id": "763410",
  "name": "パークシティ武蔵小山ザタワー",
  "latest_month": "202605",
  "latest_tsubo_tanka": 1073.74,
  "latest_price_per_sqm_jpy": 3248064,
  "mom_change_pct": 0.3,
  "yoy_change_pct": 37.2,
  "deviation_score": 79,
  "rating_value": 5.0,
  "listed_low_price": 57000000,
  "listed_high_price": 348000000,
  "currency": "JPY",
  "built_year": 2021,
  "total_units": 439,
  "prefecture": "東京都",
  "city": "品川区",
  "nearest_station": "武蔵小山駅",
  "series_points": 209
}

💼 Use Cases & Examples

1. Condo resale-price comparables

Appraisers and agents pricing a unit against its building's own history.

Input: A building URL or ID Output: The full monthly 坪単価 resale series + current listed range Use: Anchor a valuation to a real, building-specific price trend.

2. Investment & yield analysis

Investors screening buildings for momentum and rental yield.

Input: A city or station area URL with includeRentSouba Output: Resale series + rent series + build year and units per building Use: Rank buildings by appreciation and gross yield in one pass.

3. Market trend dashboards

Proptech teams powering price-trend charts and heatmaps.

Input: A prefecture or city sweep Output: Building, city, town and station benchmark series Use: Plot building vs market trend lines with no extra requests.

4. Valuation & forecasting models

Quants feeding a price model with clean monthly history.

Input: A bulk list of building IDs Output: 200+ monthly points per building with MoM/YoY pre-computed Use: Train and backtest condo price forecasts.

5. Building price-history reports

Researchers documenting how a specific tower's value has moved.

Input: A single building ID Output: Its complete resale history, score, rating and attributes Use: Produce a one-building price-history report instantly.

6. Feeding a Japan real-estate data API

Developers building a condo-valuation product.

Input: Scheduled area sweeps Output: A deduplicated building dataset refreshed on a cadence Use: Back a valuation API or internal data warehouse.

🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/mansion-review-valuation-scraper').call({
  searchMode: 'byArea',
  areaUrls: ['https://www.mansion-review.jp/mansion/city/667.html'],
  maxResults: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/mansion-review-valuation-scraper').call(
    run_input={
        'searchMode': 'byBuildingId',
        'buildingIds': ['763410', '1434087'],
        'includeRentSouba': True,
    }
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~mansion-review-valuation-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"searchMode":"byArea","areaUrls":["https://www.mansion-review.jp/mansion/city/667.html"]}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule (e.g. monthly) or webhook
2. HTTP Request: Call the actor API
3. Process: Handle the JSON valuation records
4. Action: Save to a warehouse, refresh a dashboard, or alert on price moves

📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 buildings per run — full feature access, same data quality
• No credit card required
• Perfect for testing and small studies

PAID Tier (Production Ready)

• Unlimited buildings per run
• Pay-per-result: only charged per building valued
• Optional rent-series enrichment billed separately, only when a rent series exists

💰 Transparent pay-per-result — you pay for the building records you keep, nothing more.

🔗 View current pricing

❓ Frequently Asked Questions

Q: Is this for-sale listings or valuations? A: Valuations. You get one record per building with its full monthly resale price-per-tsubo (坪単価) history — not individual for-sale ads.

Q: How far back does the price history go? A: Up to ~15 years of monthly points (often 200+ per building). Tune the window with yearsAgo.

Q: How many buildings can I value? A: FREE tier: 25 per run. PAID tier: unlimited.

Q: What is 坪単価 (tsubo-tanka)? A: The price per tsubo (≈3.306 m²), the standard Japanese unit. We keep the native ¥10k/tsubo value and also give you the ¥/m² conversion.

Q: Can I get rental data too? A: Yes — enable includeRentSouba to add each building's chintai (rent) 坪単価 series.

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

🐛 Troubleshooting

• No buildings found in byArea — make sure the URL is an index/area page (prefecture/city/town/station) or the /mansion/ hub, not a single building page.
• A building has a short series — newer buildings simply have fewer months of resale history; the series reflects what exists.
• Rent fields are empty — that building has no chintai (rent) series, or includeRentSouba was off.

⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what has been chosen to be shared publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

🤝 Support

Questions, feature requests or issues? Reach out via the Apify Console or leave a review — we read every one and ship improvements fast.

⭐ Love this actor? Leave a 5-star review — it helps other analysts discover it.

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Disclaimer: This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Mansion Review (mansion-review.jp) or any of its operators. "Mansion Review", 坪単価 series and all related names and trademarks are the property of their respective owners. Use this actor in compliance with the target site's terms of service and all applicable laws.

🔥 More automation tools: https://apify.com/sian.agency?fpr=sian