Rakumachi Investment Property Scraper

Scrape income-property listings from Rakumachi (楽待), Japan's #1 portal for investor-grade real estate. Returns price in JPY and USD, gross yield, monthly rent, occupancy, unit counts, building structure, and broker details for 50,000+ live 収益不動産 listings across all 47 prefectures.

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Rakumachi Scraper Features

• Extracts 25+ fields per listing — price, gross yield, annual income, occupancy, unit count, structure, station, broker.
• Converts 万円 prices to JPY and to USD at a configurable rate. Yen math is easy to get wrong, so the scraper does it for you.
• Filters by prefecture, property type (1棟 / 区分 / 戸建 / land), minimum yield %, and maximum price in JPY.
• Optional detail-page enrichment adds 想定年間収入, monthly rent, occupancy, floors, and broker type.
• Handles pagination across all nine Rakumachi regions automatically. You pick prefectures; it walks the result pages.
• Pure HTML scraping with Chrome TLS fingerprint — no browser, no proxy, no CAPTCHA.

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Who Uses Rakumachi Data?

• Investment funds and family offices — Screen 50K+ listings by gross yield threshold, then shortlist for underwriting.
• Foreign investors entering Japan — Use JPY+USD dual pricing to compare yields against home-market cap rates without pulling up a currency converter.
• Proptech and real-estate SaaS — Feed investor-grade listings into portfolio dashboards, deal-flow tools, or DCF models.
• Broker-matching platforms — Build lead lists of Japan-based brokers from the broker_name field with address, listing volume, and property-type mix.
• Research analysts — Track yield compression across prefectures, or monitor new-listing velocity as a market-sentiment signal.

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How Rakumachi Scraper Works

1. Pick one or more prefectures in the input (Tokyo by default). Leave empty and it falls back to Tokyo.
2. The scraper generates a search URL per prefecture, maps it to the correct Rakumachi region, and paginates until it hits your maxItems cap or runs out of listings.
3. Every listing card is parsed for price, yield, address, station, units, structure, and broker. Pro-member-gated listings are skipped automatically.
4. If scrapeDetails is on, each listing's detail page is fetched to add annual income, occupancy rate, and broker type.

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Input

{
  "prefectures": ["tokyo", "osaka", "fukuoka"],
  "propertyType": "apartment_building",
  "minYieldPct": 7,
  "maxPriceJpy": 500000000,
  "scrapeDetails": true,
  "convertUsd": true,
  "usdPerJpy": 155,
  "maxItems": 100
}

Field	Type	Default	Description
prefectures	array[string]	["tokyo"]	Japanese prefectures to search. Empty falls back to Tokyo. All 47 accepted.
propertyType	string	any	Filter by tenancy shape: any, apartment_building (1棟), detached_rental (戸建), unit (区分), land_business, other.
minYieldPct	integer	0	Drop listings whose 表面利回り is below this value. 0 = no floor.
maxPriceJpy	integer	0	Drop listings priced above this (in yen). 0 = no ceiling.
scrapeDetails	boolean	true	Fetch each detail page for annual income, occupancy, and broker type. Slower.
convertUsd	boolean	true	Add price_usd converted from JPY using usdPerJpy.
usdPerJpy	integer	155	Conversion rate (JPY per 1 USD). Ignored when convertUsd is false.
maxItems	integer	100	Maximum listings to scrape. 0 = unlimited.

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Rakumachi Scraper Output Fields

{
  "listing_id": "3602259",
  "title": "足立区１棟店舗付レジ",
  "property_type": "apartment_building",
  "tenancy_type": "一棟",
  "prefecture": "tokyo",
  "city": "足立区",
  "address_ja": "東京都足立区",
  "price_jpy": 484800000,
  "price_usd": 3127742,
  "gross_yield_pct": 7.64,
  "net_yield_pct": null,
  "monthly_rent_jpy": 3088892,
  "annual_income_jpy": 37066704,
  "building_area_sqm": 1791.88,
  "land_area_sqm": 716.63,
  "units_total": 31,
  "units_occupied": 30,
  "occupancy_rate_pct": 96.8,
  "building_year": 1991,
  "building_age_years": 35,
  "building_structure": "鉄骨造",
  "floors": 5,
  "nearest_station": "日暮里舎人ライナー 舎人駅",
  "station_distance_min": 11,
  "photos": [],
  "description_ja": "店舗付き1棟マンション。想定年収3706万6704円、表面利回り7.64%。...",
  "listing_url": "https://www.rakumachi.jp/syuuekibukken/kanto/tokyo/dim1001/3602259/show.html",
  "broker_name": "株式会社テンポスフィナンシャルトラスト",
  "broker_type": "agent",
  "scraped_at": "2026-04-20T14:53:13.186Z"
}

Field	Type	Description
listing_id	string	Rakumachi listing ID.
title	string	Listing title.
property_type	string	apartment_building / detached_rental / unit / land_business / other.
tenancy_type	string	一棟 / 区分 / 戸建 / その他.
prefecture	string	Prefecture en slug (tokyo, osaka, fukuoka, …).
city	string	City or ward, derived from the JP address.
address_ja	string	Japanese address.
price_jpy	number	Sale price in yen.
price_usd	number	Sale price converted to USD at usdPerJpy.
gross_yield_pct	number	Gross yield 表面利回り, annualized %.
net_yield_pct	number	Net yield 実質利回り, when published. Often null — brokers don't always post it.
monthly_rent_jpy	number	Assumed monthly gross rent in JPY. Detail-page only.
annual_income_jpy	number	Estimated annual gross income 想定年間収入, JPY. Detail-page only.
building_area_sqm	number	Building floor area in m².
land_area_sqm	number	Land area in m².
units_total	integer	Total units (1 for 区分 / 戸建).
units_occupied	integer	Occupied units. Detail-page only.
occupancy_rate_pct	number	Occupancy percentage, derived from units_total and units_occupied.
building_year	integer	Year built.
building_age_years	integer	Age in years at scrape time.
building_structure	string	Structure label: 木造 / 鉄骨造 / 鉄筋コンクリート造 / 鉄骨鉄筋コンクリート造.
floors	integer	Number of floors.
nearest_station	string	Nearest station with line name.
station_distance_min	integer	Walking minutes to the nearest station.
photos	array[string]	Listing photo URLs.
description_ja	string	Japanese short description / broker blurb.
listing_url	string	Rakumachi detail-page URL.
broker_name	string	Listing broker / agent name.
broker_type	string	agent (仲介) or direct (売主).
scraped_at	string	Scrape timestamp, ISO 8601, UTC.

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FAQ

How do I scrape Rakumachi?

Run Rakumachi Investment Property Scraper with a list of prefectures and an optional yield or price filter. It handles pagination, parses Japanese number formats (万円, 億円), and returns clean JSON. No Apify proxy or browser render is required.

What's the difference between 表面利回り and 実質利回り?

Gross yield (gross_yield_pct) is the headline number every listing publishes — annual rent divided by price. Net yield (net_yield_pct) accounts for expenses and is only published when the broker chooses to disclose it. Expect net_yield_pct to be null on most records.

Can I filter by minimum yield?

Yes. Set minYieldPct to your floor (e.g. 7) and the scraper drops anything below. Pairs well with maxPriceJpy for quick screens like "under ¥100M with at least 8% gross yield."

Does Rakumachi Scraper need proxies?

No. The target site accepts standard requests, and the scraper ships with a Chrome TLS fingerprint. If Rakumachi ever throttles, you can add proxies in the Apify input, but the default run uses none.

How much does Rakumachi Scraper cost to run?

Rakumachi Scraper uses pay-per-event pricing: $0.10 per run start plus $0.001 per record. A 1,000-listing pull costs about $1.10. Listing-only runs are faster and cheaper — detail-page runs trade throughput for annual income and occupancy data.

Why convert prices to USD?

Because Japanese listings are quoted in 万円 (10,000-yen units) and comparing that to a cap-rate spreadsheet in USD is annoying. The scraper does the math at a rate you set, and you can disable convertUsd if you prefer raw JPY.

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Need More Features?

Need custom fields, a different Japan real-estate source, or integration with your deal-flow pipeline? File an issue or get in touch.

Why Use Rakumachi Scraper?

• Only Japan investment-property scraper on Apify — SUUMO and HOMES cover owner-occupier. Rakumachi covers investors. This scraper is the single source for yield-centric Japan RE data on the platform.
• Yield-centric schema — Returns gross yield, monthly rent, annual income, and occupancy as first-class fields, so investor screens work without post-processing. Most real-estate scrapers give you square meters and a price; this one gives you the numbers a fund actually uses.
• Affordable — $0.10 per run plus $0.001 per record. A full-Tokyo crawl of 500 listings costs under a dollar.