able Property Scraper — Japan Rental Data & API 🏯

🎉 Turn able.co.jp (エイブル) rental listings into clean, structured data — one row per unit, 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 able.co.jp search results into structured JSON/CSV — one clean record per listing, with rent normalised to JPY, layout, area, deposit, key money, brokerage fee, station access and photos.

Why analysts and agencies choose us:

• ✅ One clean row per unit — every result card becomes a structured record, no nested mess
• ⚡ Fast & lightweight — direct extraction, no slow headless browser, no proxy overhead
• 🎯 40+ data points — rent (normalised to JPY), 万円 raw text, layout, area, floor, deposit, key money, brokerage fee, building age & structure, station access, photos
• 🤝 Brokerage fee captured — surfaces each unit's 仲介手数料 (a headline able selling point), so tenants and analysts can compare true move-in cost
• 💴 Pay-per-result — only pay for listings you actually receive — transparent and cheap
• 💎 Two depths — fast overview for whole-market sweeps, full detail for the spec table (orientation, building type, latitude/longitude, equipment, security, room features, full photo gallery)
• ✨ Three ways in — by pasted able search URL (keeps every filter), by area (prefecture + city codes), or by listing URL

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✨ Features

• 🏢 Listings, done right — clean per-unit records from the area list
• 💴 Money normalised — 21.2万円 becomes 212000 JPY and keeps the original string
• 📐 Rent-per-m² built in — yield and comparison math ready out of the box
• 🚉 Station access — every line + station + walk-minute captured
• 🤝 Brokerage fee — the per-unit 仲介手数料 fragment, ideal for true move-in-cost comparison
• 🔎 Detail enrichment — orientation, building type, structure, latitude/longitude, equipment, security, room features, full photo set
• 🔗 Paste-a-URL mode — apply filters in able's UI, paste the link, every supported filter is preserved
• 📦 Clean exports — JSON, CSV, Excel straight from the dataset
• 🌐 Optional Japan proxy — off by default, available as a one-click escape hatch

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🎬 Quick Start

Pick a mode, give it an able search URL (or an area), and run. Listings stream into your dataset as clean rows. Export as JSON, CSV, or Excel.

curl -X POST https://api.apify.com/v2/acts/sian.agency~able-property-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "searchMode": "bySearchUrl", "searchUrls": ["https://www.able.co.jp/tokyo/area/13104/list/"]}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Choose your input

Paste an able area-list URL, give a prefecture + city codes, or list specific listing URLs.

Step 2: Pick depth

overview for fast whole-market unit cards, or detail for the full spec table.

Step 3: Run & export

Start the run and download your results as JSON, CSV, or Excel.

That's it! In under a minute, you'll have:

• A clean, per-unit dataset
• Rent normalised to JPY plus the raw 万円 strings
• Layout, area, floor, deposit, brokerage fee, station access, and photos

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📥 Input Configuration

Field	Type	Required	Description
scrapeMode	string	No	overview (fast unit cards) or detail (full spec table)
searchMode	string	No	bySearchUrl, byArea, or byListingUrl
searchUrls	array	No	Pasted able area-list URLs (filters preserved)
pref	string	No	Prefecture slug, e.g. tokyo (byArea)
cityCodes	array	No	JIS municipal codes, e.g. ["13104"] (byArea)
listingUrls	array	No	able detail URLs (detail mode)
order	string	No	able's sort/order parameter
rentMin / rentMax	string	No	Rent range filters
areaMin / areaMax	string	No	Floor-area range filters (m²)
buildingType	array	No	1 mansion, 2 apartment, 3 house (repeatable)
maxResults	integer	No	Max listings per run (FREE: 25, PAID: unlimited)

Example — overview by search URL:

{
  "scrapeMode": "overview",
  "searchMode": "bySearchUrl",
  "searchUrls": ["https://www.able.co.jp/tokyo/area/13104/list/"],
  "maxResults": 200
}

Example — detail by area:

{
  "scrapeMode": "detail",
  "searchMode": "byArea",
  "pref": "tokyo",
  "cityCodes": ["13104"]
}

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📤 Output

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

Field	Type	Description
listingId	string	able property id
url	string	Canonical listing URL
propertyTitle	string	Building name
rent	number	Monthly rent in JPY
rent_raw	string	Raw 21.2万円 string
price_per_sqm_jpy	number	Computed rent per m²
layout	string	間取り, e.g. 1K, 1LDK
area_sqm	number	専有面積 in m²
floor / total_floors	string	Unit floor / building floors
deposit / key_money / broker_fee	string	敷金 / 礼金 / 仲介手数料
building_age / building_year / structure	string/number	Age / built year / structure
stations	array	Line + station + walk-time
address	string	所在地
images	array	Photo URLs
facing / building_type / equipment / security	string/array	Detail-mode spec fields

Example:

{
  "listingId": "000000051506936046",
  "url": "https://www.able.co.jp/detail/Detail.do?bk=000000051506936046&prefkey=tokyo&g=13104",
  "propertyTitle": "ＺＯＯＭ東新宿",
  "rent": 212000,
  "rent_raw": "21.2万円",
  "price_per_sqm_jpy": 5209,
  "layout": "1LDK",
  "area_sqm": 40.7,
  "floor": "3階",
  "total_floors": "13階建",
  "facing": "東",
  "building_type": "マンション",
  "structure": "鉄筋コンクリート造",
  "broker_fee": "仲介手数料家賃の55%",
  "address": "東京都新宿区大久保１丁目",
  "stations": ["副都心線 / 東新宿駅 徒歩1分"],
  "image_count": 19
}

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💼 Use Cases & Examples

1. Rental Market Research

Analysts mapping rent-by-area across a prefecture. Input: an able area-list URL · Output: per-unit dataset with rent & m² · Use: build a rent heatmap by ward and station.

2. Property Investment Analysis

Investors comparing yields across buildings. Input: a filtered able search URL · Output: rent-per-m² on every unit · Use: rank candidate buildings by gross yield.

3. Relocation & Tenant Search

Relocation agents shortlisting homes for clients. Input: area + layout/budget filters · Output: clean rows with deposit, key money, brokerage fee, station walk-time · Use: hand clients a tidy true-cost comparison sheet.

4. Real-Estate Lead Generation

Agencies building prospect lists of active listings. Input: broad search by area · Output: building, address, layout records · Use: feed CRM pipelines.

5. Price & Trend Monitoring

Data teams tracking rent movements over time. Input: scheduled runs on the same search · Output: snapshots to diff week-over-week · Use: detect price changes and new inventory.

6. Academic & Policy Research

Researchers studying Japanese housing markets. Input: multiple areas · Output: structured, reproducible datasets · Use: quantitative housing studies.

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🔗 Integration Examples

JavaScript/Node.js

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

const run = await client.actor('sian.agency/able-property-scraper').call({
  scrapeMode: 'overview', searchMode: 'bySearchUrl',
  searchUrls: ['https://www.able.co.jp/tokyo/area/13104/list/']
});

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/able-property-scraper').call(
    run_input={'scrapeMode': 'overview', 'searchMode': 'bySearchUrl',
               'searchUrls': ['https://www.able.co.jp/tokyo/area/13104/list/']}
)

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

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~able-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "searchMode": "bySearchUrl", "searchUrls": ["https://www.able.co.jp/tokyo/area/13104/list/"]}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule or webhook
2. HTTP Request: Call the actor API
3. Process: Handle the JSON results
4. Action: Save to a sheet, notify, or sync to CRM

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📊 Performance & Pricing

FREE Tier (Try It Now)

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

PAID Tier (Production Ready)

• Unlimited listings per run
• Pay-per-result: only charged for listings you actually receive

💴 Cheap by design — direct extraction with no proxy overhead keeps the per-listing price among the lowest for Japanese real-estate data.

🔗 View current pricing

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❓ Frequently Asked Questions

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

Q: Do I need an account or API key? A: No. Just provide a search URL or an area.

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

Q: Are GPS coordinates included? A: Detail pages include latitude/longitude where available; overview rows carry address and station access.

Q: What's the difference between overview and detail? A: Overview is the fast result-card data. Detail fetches each listing's full page for extra specs (orientation, building type, latitude/longitude, equipment, security, room features, full photo gallery) and merges them in.

Q: Is the brokerage fee included? A: Yes — detail mode surfaces each unit's 仲介手数料 (brokerage fee) fragment, useful for comparing true move-in cost.

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🐛 Troubleshooting

No results returned

• Check that the pasted URL is an able.co.jp area-list page (/{prefecture}/area/{citycode}/list/), or that prefecture/city codes are valid.

Fewer rows than expected

• FREE tier caps at 25 listings per run — upgrade for unlimited.
• Narrow filters in the able UI may simply return fewer listings.

A specific listing failed in detail mode

• The listing may have expired or been delisted; the run continues and skips it.

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⚖️ 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 the user has chosen to share 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.

Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or sponsored by able, able.co.jp, or エイブル / its parent group. "able" / "エイブル" is a trademark of its respective owner. Use this actor in compliance with the site's terms of service and all applicable laws.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check the SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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