AtHome Akiya Bank Scraper — cheap & free houses across all 47 prefectures of Japan

Scrape every akiya (空き家 / vacant-house) bank listing from akiya-athome.jp — Japan's national directory of cheap and even free (¥0) rural houses, land, and apartments across all 47 prefectures. No login, no API key. Filter by prefecture, deal type, property type, and price cap, then export clean JSON, CSV, or Excel with prices in JPY (and optional live USD), land/building area, floor plan, build year, full image galleries, and ~50 normalized detail fields.

🏠 What does the AtHome Akiya Bank Scraper do?

This actor crawls the municipal akiya-bank listings published on akiya-athome.jp and turns them into structured records. You give it a few filters (which prefectures, sale/rent/gift, house/land/mansion, a max price in yen); it returns one row per property with price, location, size, floor plan, photos, and every spec from the listing's detail table.

It runs in two modes:

• Summary mode (fetchDetails: false) — fast pass over the listing cards. Title, price, type, prefecture, municipality, address, area, photo count.
• Full-detail mode (fetchDetails: true, default) — follows each listing into its detail page for the complete field set: ~50 English-normalized fields (fields), the raw Japanese fields (fields_ja), the full image gallery (images + captioned imageDetails), build year, structure, zoning, and more.

Output is available as JSON, CSV, Excel (XLSX), XML, and HTML table — downloadable from the dataset or via the Apify API, webhooks, and integrations.

👤 Who is the AtHome Akiya scraper for?

• Foreign buyers hunting cheap rural Japan property — sweep all 47 prefectures for sub-¥1M houses, or only the gift / ¥0 listings, with prices shown in USD.
• Akiya investors & renovation flippers — pull land/building area, floor plan, structure, and build year to triage renovation candidates at scale.
• Relocation seekers — filter to your target prefecture and municipality, compare access/transport and price in one spreadsheet.
• Real-estate data & content teams — build a fresh akiya dataset for newsletters, maps, dashboards, or market analysis.
• Agents & researchers — feed normalized rows into your own models, CRMs, or AI agents (MCP-ready).

⭐ Why use this akiya scraper?

• All 47 prefectures — filter by 2-digit JIS code (13), English name (Tokyo), or Japanese name (東京都). Leave it empty to scrape every prefecture (~11,000 listings).
• Find the free houses — transactionType: "gift" keeps only ¥0 properties. Every record also carries an isGift flag, which is true only for a ¥0 sale (a house genuinely given away) — a ¥0 rental is a zero-rent lease, not a free house, so it is never flagged isGift.
• Price per m² for investors — every record carries pricePerSqm_jpy, the listing price divided by the building floor area (rounded yen), so you can rank renovation candidates by value at a glance.
• Price cap in yen — set maxPriceJpy to filter at the source (e.g. only properties under ¥1,000,000).
• JPY → USD conversion — turn on convertUsd and the actor fetches the day's ECB reference rate (via frankfurter.app) and fills price_usd on every listing.
• Property-type filter — house (戸建), land (土地), mansion (マンション), investment (投資), or business (事業).
• Skip the tear-downs — excludeTeardown hides properties marked for demolition (要取壊し / 古家あり / 解体).
• Nothing lost in translation — ~50 fields normalized to English keys, plus the raw Japanese field table kept verbatim.
• No login, no API key — clean structured data straight to a dataset.

📊 What data can you extract from akiya-athome.jp?

Every listing record includes (full-detail mode):

Data point	Example
price_jpy	2500000
price_usd (optional)	16100
pricePerSqm_jpy	22325
isGift	false
url	https://okutama-t13308.akiya-athome.jp/bukken/detail/buy/46555
listingId	"46555"
propertyNumber	"125"
title	東京都西多摩郡奥多摩町河内 378番5
transactionType	"sale" (sale / rent)
propertyType	"house" (house / land / mansion / invest / business)
categoryLabel (JA)	売戸建
prefecture_code / _en / _ja	13 / Tokyo / 東京都
municipality	西多摩郡奥多摩町
address	東京都西多摩郡奥多摩町河内 378番5
access	南海電鉄南海本線 高石駅/徒歩8分
landArea_m2	290.9
buildingArea_m2	111.98
floorPlan	4DK
buildYearMonth	不詳
photoCount	10
images	[ "https://img.akiya-athome.jp/?v=…", … ]
imageDetails	[ { url, thumbnail, caption: "外観" }, … ]
fields	{ structure: "木造", zoning, parking, … } (~50 EN keys)
fields_ja	{ "建物構造": "木造", "用途地域": "…", … } (raw)
akiyaBankUrl	https://okutama-t13308.akiya-athome.jp
scrapedAt	2026-06-16T16:37:42.741Z

Note: price_usd is only populated when convertUsd is on (default). pricePerSqm_jpy is round(price_jpy / buildingArea_m2) when both a price and a building area are present, otherwise null (e.g. land parcels). isGift is true only for a ¥0 sale — a ¥0 rental is not a gift. fields, fields_ja, images, and imageDetails are only populated in full-detail mode (fetchDetails: true). Some fields come back as "-" or 不詳 ("unknown") when the municipality didn't publish them — that is the source data, preserved as-is.

The fields object normalizes the listing's detail table to English keys, including: price, floorPlan, access, address, buildYearMonth, buildingArea, landArea, propertyCategory, structure, parking, landRights, cityPlanning, zoning, roadAccess, buildingCoverageRatio, floorAreaRatio, landCategory, topography, setback, currentStatus, handover, brokerageFee, facilities, features, remarks, companyName, licenseNumber, transactionMode, and more.

💰 How much does it cost to scrape akiya-athome.jp?

This actor uses pay-per-event pricing:

Event	Price (USD)
Actor start (once per run)	$0.04
Per listing scraped (result)	$0.001

That's $1.00 per 1,000 listings plus the $0.04 start fee. In-run duplicates are not billed — the same property often appears under both the buy and rent paths, and the actor dedupes before charging.

Real-world cost examples

Based on real test runs (full-detail mode):

Run	Listings	Event cost	+ start	Total
Tokyo sample (full detail)	15	$0.015	$0.04	~$0.055
Osaka sample (gift + paid)	18	$0.018	$0.04	~$0.058
4-prefecture sample	108	$0.108	$0.04	~$0.148
1,000 listings	1,000	$1.00	$0.04	~$1.04
Full Japan (all 47)	~11,000	$11.00	$0.04	~$11.04

With the Apify Free plan's $5 of monthly platform credit, you can scrape roughly ~4,900 listings/month at no extra cost. (Proxy traffic is billed separately by Apify per your plan.)

🚀 How to scrape akiya listings (step by step)

1. Open the AtHome Akiya Bank Scraper on Apify and click Try for free.
2. In Prefectures, add one or more JIS codes / English names / Japanese names — or leave it empty for all 47.
3. Pick a Transaction type (Any / Sale / Rent / Gift = free ¥0) and a Property type.
4. Optionally set Max price (JPY), toggle Exclude teardown, Add USD price, and Fetch detail pages.
5. Set Max items (default 50; 0 = unlimited).
6. Click Start, watch the run, then Export the dataset as JSON, CSV, or Excel.

🧩 Input examples

Minimal — 50 listings in Tokyo:

{
  "prefectures": ["Tokyo"],
  "maxItems": 50
}

Only free (¥0) houses, nationwide, in USD:

{
  "prefectures": [],
  "transactionType": "gift",
  "propertyType": "house",
  "excludeTeardown": true,
  "convertUsd": true,
  "fetchDetails": true,
  "maxItems": 0
}

Cheap rural houses under ¥1,000,000 in three regions (mixed code / EN / JA):

{
  "prefectures": ["01", "Nagano", "大阪府"],
  "transactionType": "sale",
  "propertyType": "house",
  "maxPriceJpy": 1000000,
  "maxItems": 500
}

⚙️ Input parameters

Parameter	Type	Default	Description
prefectures	array	[] (all 47)	JIS codes ("01"–"47"), English ("Tokyo"), or Japanese ("東京都") names.
transactionType	string	"any"	any (sale + rent), sale, rent, or gift (only ¥0 / free).
propertyType	string	"any"	any, house, land, mansion, invest, business.
maxPriceJpy	integer	—	Max price in yen. Empty = no ceiling.
excludeTeardown	boolean	false	Hide properties flagged for demolition (要取壊し / 古家あり / 解体).
fetchDetails	boolean	true	Follow each listing into its detail page for the full field set. Off = faster summary run.
convertUsd	boolean	true	Fetch the day's ECB reference JPY/USD rate (via frankfurter.app) at start and populate price_usd. Daily reference rate, not a real-time market quote.
maxItems	integer	50	Max listings to scrape. 0 = unlimited (~11,000 total).
maxConcurrency	integer	10	Max parallel requests (1–50). Lower it if you hit blocking.
proxyConfiguration	object	Apify Proxy (RESIDENTIAL)	Proxy settings. RESIDENTIAL is most reliable; DATACENTER is cheaper — try it on a small run and switch back if you see failures.

📤 Output example

A real listing record (full-detail mode, abbreviated for length):

{
  "url": "https://okutama-t13308.akiya-athome.jp/bukken/detail/buy/46555",
  "listingId": "46555",
  "propertyNumber": "125",
  "title": "東京都西多摩郡奥多摩町河内 378番5",
  "transactionType": "sale",
  "propertyType": "house",
  "categoryLabel": "売戸建",
  "price_jpy": 2500000,
  "price_usd": 16100,
  "pricePerSqm_jpy": 22325,
  "priceText": "250万円",
  "isGift": false,
  "prefecture_code": "13",
  "prefecture_en": "Tokyo",
  "prefecture_ja": "東京都",
  "municipality": "西多摩郡奥多摩町",
  "municipalitySlug": "okutama-t13308",
  "address": "東京都西多摩郡奥多摩町河内 378番5",
  "access": "-",
  "landArea_m2": 290.9,
  "buildingArea_m2": 111.98,
  "floorPlan": "4DK",
  "buildYearMonth": "不詳",
  "photoCount": 10,
  "images": [
    "https://img.akiya-athome.jp/?v=4An4GIf0vfAdf0JiNuBp_3H7gXQj3AiIDMkhbbGoks3v…"
  ],
  "imageDetails": [
    { "url": "https://img.akiya-athome.jp/?v=4An4GIf0…", "thumbnail": "https://img.akiya-athome.jp/?v=KcX4Ywl…", "caption": "外観" },
    { "url": "https://img.akiya-athome.jp/?v=KcX4Ywl…", "thumbnail": "https://img.akiya-athome.jp/?v=YzeWPz6…", "caption": "間取図(平面図)" }
  ],
  "akiyaBankUrl": "https://okutama-t13308.akiya-athome.jp",
  "fields": {
    "price": "250万円",
    "floorPlan": "4DK",
    "buildingArea": "111.98㎡",
    "landArea": "290.90㎡",
    "structure": "木造",
    "facilities": "電気 ・上水道 ・下水道 ・プロパンガス",
    "features": "駐車場2台以上 南向 閑静な住宅街 都市ガス システムキッチン 二世帯向 角地",
    "propertyCategory": "売戸建"
  },
  "fields_ja": {
    "価格": "250万円",
    "間取り": "4DK",
    "建物面積": "111.98㎡",
    "土地面積": "290.90㎡",
    "建物構造": "木造"
  },
  "scrapedAt": "2026-06-16T16:37:42.741Z"
}

A free (¥0 / gift) listing is a ¥0 sale — note price_jpy: 0, transactionType: "sale", and isGift: true:

{
  "url": "https://example-c01234.akiya-athome.jp/bukken/detail/buy/12345",
  "listingId": "12345",
  "transactionType": "sale",
  "propertyType": "house",
  "categoryLabel": "売戸建",
  "price_jpy": 0,
  "isGift": true,
  "prefecture_en": "Hokkaido",
  "floorPlan": "3DK",
  "photoCount": 8
}

¥0 rentals are not gifts. A listing under the rent path with price_jpy: 0 is a zero-rent lease (the municipality publishes ¥0 in the price slot), not a free house. The actor flags those isGift: false so a buyer searching for genuinely free houses isn't misled.

💡 Tips for best results

• Start small. Run with maxItems: 25 and one prefecture to preview the data shape before a full crawl.
• Free houses fast: set transactionType: "gift" + prefectures: [] to sweep every ¥0 property in Japan in one run.
• Need it quick? Turn off fetchDetails for a summary-only pass — it skips the per-listing detail fetch.
• Getting blocked? Keep the RESIDENTIAL proxy (default) and lower maxConcurrency. The run fails loudly with a clear message if the proxy is blocked and 0 listings come back.
• Schedule it (Apify Schedules) to re-crawl your target prefectures daily/weekly and catch new akiya as they're listed.

🩺 Run health & failed requests

The actor tracks requests that failed after all retries and saves the full list to the key-value store under FAILED_REQUESTS. It also pushes an error record to the dataset for each permanently failed request — { "error": true, "errorDescription": "...", "url": "...", "scrapedAt": "..." } — so consumers see failures inline alongside the listings (these error rows are not billed). If every request fails (0 listings scraped), the run is marked failed with a clear message — almost always a sign the proxy was blocked. Switch to a RESIDENTIAL Apify proxy and retry.

🔗 Integrations

Push your akiya data anywhere with Apify's built-in integrations:

• Google Sheets — sync listings to a live spreadsheet.
• Slack / Discord — get notified when new free houses appear.
• Make / Zapier — pipe results into 1,000+ apps.
• BigQuery / Snowflake — load into your data warehouse.
• Webhooks — trigger your own services on run finish.
• Schedules — automate recurring crawls.

🤖 API usage

Run the actor programmatically with the Apify API. Replace <YOUR_TOKEN> with your API token.

Node.js (apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });

const run = await client.actor('crowley~athome-akiya-bank-scraper').call({
    prefectures: ['Tokyo', 'Nagano'],
    transactionType: 'sale',
    propertyType: 'house',
    maxPriceJpy: 1000000,
    convertUsd: true,
    maxItems: 200,
});

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

Python (apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_TOKEN>")

run = client.actor("crowley~athome-akiya-bank-scraper").call(run_input={
    "prefectures": ["Tokyo", "Nagano"],
    "transactionType": "gift",
    "convertUsd": True,
    "maxItems": 200,
})

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

cURL:

curl -X POST "https://api.apify.com/v2/acts/crowley~athome-akiya-bank-scraper/runs?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "prefectures": ["Tokyo"],
    "transactionType": "gift",
    "maxItems": 100
  }'

🧠 Use with AI agents via MCP

This actor is callable from AI agents through the Apify MCP server, so Claude, Cursor, and other MCP clients can run it as a tool.

Add it to a Claude Desktop / Claude Code / Cursor MCP config:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--actors", "crowley/athome-akiya-bank-scraper"],
      "env": { "APIFY_TOKEN": "<YOUR_TOKEN>" }
    }
  }
}

Example prompts:

• "Find every free akiya house in Japan under the gift program and list them with USD prices."
• "Scrape houses in Nagano under ¥1,000,000, excluding tear-downs, and summarize land vs building area."
• "Get the 50 cheapest sale listings in Hokkaido with their floor plans and photo counts."

❓ FAQ

Is scraping akiya-athome.jp legal? This actor collects only publicly available listing data — no login, no personal accounts. As with any scraping, use the data responsibly and in line with applicable laws. See Is web scraping legal?.

Do I need an account or API key for the site? No. The actor reads public listing pages — no akiya-athome.jp login required.

Can I really find free houses? Yes. Set transactionType: "gift" to keep only ¥0 listings. Every record also has an isGift boolean. isGift is true only for a ¥0 sale — a genuinely free house. A ¥0 rental (a zero-rent lease) is not flagged isGift, so you won't confuse the two. (A ¥0 price is the headline figure; transfer, renovation, and registration costs are set by each municipality.)

How do I get prices in US dollars? Leave convertUsd on (default). At the start of the run the actor fetches the day's ECB reference JPY/USD rate (via frankfurter.app) and fills price_usd on every listing. This is the daily reference rate, not a real-time market quote, so all listings in one run share a single rate.

How many listings are there in total? Roughly 11,000 across all 47 prefectures. Set maxItems: 0 to scrape everything.

Why are some fields "-" or 不詳? Each municipality publishes its own listings, so coverage varies. The actor preserves the source values exactly (不詳 = "unknown"); nothing is invented.

Which proxy should I use? RESIDENTIAL (the default) is most reliable for this site. DATACENTER is cheaper — try it on a small run and switch back if you see many failed requests.

What output formats can I export? JSON, CSV, Excel (XLSX), XML, and HTML table — from the dataset UI or via the Apify API, webhooks, and integrations.

⚖️ Legality

This scraper extracts publicly available real-estate listing data only and does not collect private or personal information behind a login. Listings on akiya-athome.jp are published by Japanese municipalities for public access. When your dataset includes any personal data (for example an agent's name or contact), handle it in compliance with applicable privacy laws such as the GDPR (if you process EU residents' data) and Japan's APPI (Act on the Protection of Personal Information). Read Apify's guide: Is web scraping legal?.

🗣️ Your feedback

Found a bug or want a new feature? Open an issue on the actor's Issues tab (actor ID 14YVip0CJqF01oluM). We actively maintain this scraper and read every report.

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📝 Changelog

2026-06-17

• Added pricePerSqm_jpy — listing price per m² of building floor area (rounded yen), for investor triage.
• Refined isGift: now true only for a ¥0 sale (a genuinely free house). ¥0 rentals (zero-rent leases) are no longer mislabelled as gifts.
• Permanently failed requests are now also pushed to the dataset as inline error records ({ error, errorDescription, url }), in addition to the FAILED_REQUESTS key-value store entry.
• Clarified that convertUsd uses the day's ECB reference rate (via frankfurter.app), not a real-time market quote.

2026-06-16

• Initial public release.
• All 47 prefectures (filter by JIS code / English / Japanese name).
• Transaction type filter incl. gift / free (¥0) mode; isGift flag on every record.
• Property-type filter (house / land / mansion / investment / business).
• Max price (JPY) cap and tear-down exclusion.
• Optional live JPY → USD conversion (price_usd).
• Summary vs full-detail modes with ~50 normalized fields, raw Japanese fields, and full image galleries.
• Pay-per-event pricing with in-run deduplication.