Pricing

Pay per event

LIFULL HOMES Japan Sale Scraper — 中古マンション & 一戸建て

Scrape for-sale listings from LIFULL HOMES (homes.co.jp). Covers resale condos (中古マンション), new condos, detached homes, and land. Extracts price in JPY and USD, floor area, layout, management fees, station access, zoning, photos, and broker info.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

What you get

Each listing record contains:

Field	Description
`listing_id`	HOMES listing ID from the URL
`title`	Listing title (e.g. "センチュリーパークタワー 49階")
`transaction_type`	`sale_new` / `sale_resale` / `land`
`property_type`	`mansion_resale` / `mansion_new` / `detached_resale` / `detached_new` / `land`
`prefecture`	Prefecture slug (e.g. `tokyo`)
`city`	City or ward (e.g. `中央区`)
`district`	District / chome
`address_ja`	Full Japanese address
`price_jpy`	Price in yen
`price_usd`	Price in USD (converted at run time)
`price_per_sqm_jpy`	Price per m² in yen
`building_year`	Year built
`building_age_years`	Age in years
`building_area_sqm`	Floor area (m²)
`land_area_sqm`	Land area (m²)
`rooms_layout`	Room layout (e.g. `3LDK`)
`direction`	Exposure direction (e.g. `南向き`)
`building_structure`	Structure (SRC, RC, 木造, etc.)
`floors_total`	Total floors in building
`floor_location`	Unit floor number
`management_fee_jpy`	Monthly management fee (yen)
`repair_reserve_jpy`	Monthly repair reserve (yen)
`management_company`	Property management company
`nearest_station`	Nearest station name
`station_distance_min`	Walk time to station (minutes)
`train_line`	Train line name
`zoning`	Zoning class (用途地域)
`renovation_history`	Renovation history summary
`photos`	Photo URLs (pipe-separated, up to 20)
`description_ja`	Japanese listing description
`broker_name`	Listing broker / agency name
`listing_url`	Direct URL on homes.co.jp
`scraped_at`	Scrape timestamp (ISO 8601)

Input options

Prefectures

Select one or more of Japan's 47 prefectures. Defaults to tokyo, kanagawa, osaka.

Listing Category

Value	Property type
`mansion_resale`	Resale condo (中古マンション) — default
`mansion_new`	New condo (新築マンション)
`detached_resale`	Resale detached home (中古一戸建て)
`detached_new`	New detached home (新築一戸建て)
`land`	Land (土地)

Scrape Detail Pages

When enabled (default: true), follows each listing link to collect enriched data: station access, floor layout, management fees, building structure, zoning, renovation history, and photos. Disable for faster summary-only runs.

Include USD Prices

When enabled (default: true), converts the JPY price to USD using a live exchange rate fetched from open.er-api.com at run start. Falls back to a hardcoded rate (~149 JPY/USD) if the API is unavailable.

Max Items

Maximum listings to return. Defaults to 10. Set to 0 for unlimited (full prefecture crawl).

Proxy Configuration

Residential proxy is strongly recommended — HOMES blocks datacenter IPs. The default configuration uses Apify's RESIDENTIAL proxy group.

How it works

Seed: Generates listing page URLs for each selected prefecture and category (e.g. https://www.homes.co.jp/mansion/chuko/tokyo/list/).
Listing pages: Extracts all listings from the embedded JSON-LD ItemList block — price, area, year built, address, and listing URL.
Detail pages (when scrapeDetails: true): Follows each listing URL and parses the HTML table for station access, layout, fees, structure, zoning, photos, and broker info.
Pagination: Automatically follows next-page links until maxItems is reached or no more pages exist.

Performance notes

Concurrency is capped at 3 to respect HOMES rate limits with residential proxy rotation.
A full Tokyo mansion_resale crawl (1000+ listings) takes around 30-60 minutes depending on proxy speed.
Set scrapeDetails: false to skip detail pages and run ~5x faster.

Use cases

Japanese real estate market analysis
Price-per-sqm tracking across prefectures
Investment property research
Building age and structure distribution analysis
Station proximity valuation studies

Legal notice

Always comply with HOMES.co.jp's Terms of Service when using scraped data. This tool is intended for research and analysis purposes.

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