HOME MATE Scraper — Japan Rental Property Data & API 🏯

🎉 Turn a major Japan rental portal into clean, structured data — one row per room, geo-located, ready for analysis

For real-estate analysts, investors, relocation agents, and data teams working the Japanese rental market

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📋 Overview

Need Japanese rental listings as clean data instead of endless scrolling? This scraper turns HOME MATE (homemate.co.jp) search results into structured JSON/CSV — and it does the thing most Japan property tools get wrong: it gives you one clean row per room with the data buyers actually need — price in JPY, latitude/longitude geo, agent contact details, deposit/key-money breakdown, building structure, and equipment lists.

Why analysts and agencies choose us:

• ✅ Per-room rows: every rentable unit becomes one clean record — no nested mess
• ⚡ Fast & lightweight: direct extraction, no slow headless browser, no proxy overhead
• 🗺️ GPS coordinates included: real latitude/longitude on every detail listing — map and cluster instantly
• 📞 Agent details: agency name, address and page link — built-in lead data
• 🎯 45+ data points: rent (normalised to JPY), 万円 raw text, layout, area, floor, deposit, key money, building age, structure, station access, equipment, photos
• 💴 Pay-per-result: only pay for listings you actually receive — transparent and cheap
• 💎 Two depths: fast overview for whole-market sweeps, full detail for JSON-LD + spec table
• ✨ Three ways in: by prefecture + city code, by pasted search URL (keeps every filter), or by listing URL

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✨ Features

• 🏢 Rental listings, done right — one record per rentable room
• 💴 Money normalised — 9.5万円 becomes 95000 JPY and keeps the original string
• 📐 Rent-per-m² built in — yield and comparison math ready out of the box
• 🗺️ Geo lat/long — every detail listing carries real coordinates for mapping
• 🚉 Station access — every line / station / walk-time entry captured
• 📞 Agent block — agency name, address and page link
• 🧱 Building facts — structure, year built, total floors, total units, direction, move-in conditions
• 🛠️ Equipment lists — kitchen, bath/toilet, in-room and building equipment, comms, security
• 🔎 Detail enrichment — deposit, key money, key-money amortisation, other fees, rent guarantee, full photo set
• 🔗 Paste-a-URL mode — apply filters on the site, paste the link, every supported filter is preserved
• 📦 Clean exports — JSON, CSV, Excel straight from the dataset

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🚀 How It Works

1. Pick a scrape mode — overview (fast room-level cards) or detail (full JSON-LD + spec table).
2. Choose how to search — by prefecture slug + JIS city code, by pasted search URL, or by listing URL.
3. Set your limit — maxResults caps the run.
4. Run it — get a clean dataset: one row per room, downloadable as JSON, CSV or Excel.

Detail mode automatically discovers listings from the cheap search results, fetches each full page, and merges overview + detail into one enriched record — so you never pay twice for the same listing.

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🧭 Input

Field	What it does
🧭 Scrape mode	overview (cheap room cards) or detail (full enriched page)
🔀 Search mode	byPlace, bySearchUrl, or byListingUrl (detail only)
📍 Prefecture slugs	e.g. tokyo, osaka, kanagawa — paired with city codes
🏙️ JIS city codes	e.g. 13104 (Shinjuku), 27100 (Osaka City)
🔗 Search URLs	Paste a homemate.co.jp city result URL — your filters ride along
🏠 Listing URLs	Paste detail URLs or bare listing codes (detail mode)
🔢 Max results	Listings per run — FREE up to 25, PAID unlimited
🌐 Use Japan proxy	Optional residential proxy (off by default)

Example input

{
  "scrapeMode": "detail",
  "searchMode": "byPlace",
  "places": ["tokyo"],
  "cities": ["13104"],
  "maxResults": 100
}

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📦 Output

Each row is one rentable room. Sample (trimmed):

{
  "thumbnail": "https://apic.homemate.co.jp/ice/...jpg",
  "listingId": "203351591101",
  "url": "https://www.homemate.co.jp/dtl-203351591101/",
  "source": "detail",
  "propertyTitle": "クレア上落合 1階101",
  "property_type": "マンション",
  "layout": "1K",
  "price": 95000,
  "currency": "JPY",
  "price_per_sqm_jpy": 3733,
  "price_formatted": "9.5万円",
  "common_fee": 3000,
  "deposit": "9.5万円",
  "key_money": "9.5万円",
  "area_m2": 25.45,
  "floor": "1階",
  "total_floors": "3階建",
  "structure": "鉄骨造",
  "building_age": "築15年",
  "address": "東京都新宿区上落合...",
  "postal_code": "161-0034",
  "latitude": 35.71,
  "longitude": 139.69,
  "station": "中井駅",
  "line": "都営大江戸線",
  "walk_min": 5,
  "agent_name": "ホームメイト 新宿店",
  "equipment": ["バス・トイレ別", "オートロック", "..."],
  "image_count": 65
}

Full field set includes building name, total units, direction, move-in, entry conditions, transaction type, contract form, rent guarantee, key-money amortisation, other fees, transit lines, feature tags, full image gallery, and run metadata.

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💴 Pricing

Pay-per-result — you pay only for the listings you actually receive, plus a small one-time run fee.

• OverviewListingExtracted — charged per room card in overview mode (the cheap, high-volume path).
• DetailListingExtracted — charged per fully-enriched listing in detail mode (JSON-LD + spec table).

FREE users can extract up to 25 listings per run to try it out. PAID users get unlimited listings and the lowest per-listing rates.

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❓ FAQ

Do I need an account or API key for HOME MATE? No. Just run the actor — no login, no key.

Overview vs detail — which should I use? Use overview for fast whole-market sweeps (rent, layout, area, station, deposit/key money). Use detail when you need geo coordinates, building structure, equipment lists, conditions, agent info, and the full photo set.

Can I keep my own filters? Yes — apply filters (rent range, sort, building type) on homemate.co.jp, then paste the resulting URL into Search URLs. Every supported filter is preserved.

What currency are prices in? Japanese Yen (JPY). The 万円 display text is normalised to an integer JPY price, and the original string is kept in price_formatted.

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• Browse all SIÁN actors →

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Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or sponsored by HOME MATE or its operator. "HOME MATE" (ホームメイト) and homemate.co.jp are trademarks of their respective owners. Use this actor in compliance with the source site's terms of service and all applicable laws.