Yahoo!不動産 Scraper — Japan Property Data & API avatar

Yahoo!不動産 Scraper — Japan Property Data & API

Pricing

from $3.00 / 1,000 overview listing extracteds

Go to Apify Store
Yahoo!不動産 Scraper — Japan Property Data & API

Yahoo!不動産 Scraper — Japan Property Data & API

Yahoo!不動産 (Yahoo Real Estate) scraper & data API for one of Japan's largest property portals. Rent & sale listings: price, layout, area, floor, deposit, key money, building age, structure, station access, photos — clean JSON/CSV, one row per room. Fast overview or full detail. No account needed.

Pricing

from $3.00 / 1,000 overview listing extracteds

Rating

0.0

(0)

Developer

SIÁN OÜ

SIÁN OÜ

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

13 hours ago

Last modified

Share

Yahoo!不動産 Scraper — Japan Property Data & API 🏯

SIÁN Agency Store Smart Idealista Scraper Immobiliare.it Scraper Bayut Property Scraper

🎉 Turn one of Japan's largest property portals into clean, structured data — one row per room, ready for analysis

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


📋 Overview

Need Japanese rental and sale listings as clean data instead of endless scrolling? This scraper turns Yahoo!不動産 (Yahoo Real Estate) search results into structured JSON/CSV — and it does the one thing most tools get wrong: it explodes each building into one row per rentable room, so price, layout, area and floor are per-unit, exactly how you'd analyze them.

Why analysts and agencies choose us:

  • Per-room rows: a building with 5 vacant units becomes 5 clean records — no nested mess
  • Fast & lightweight: direct extraction, no slow headless browser, no proxy overhead
  • 🎯 35+ data points: price (normalised to JPY), 万円 raw text, layout, area, floor, deposit, key money, building age, structure, station access, 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 the complete spec table (structure, building age, aspect, facilities)
  • Three ways in: by prefecture, by pasted Yahoo!不動産 search URL (keeps your filters), or by listing URL

✨ Features

  • 🏢 Rent listings, done right — explodes 賃貸 building cards into per-room records
  • 💴 Money normalised48万円 becomes 480000 JPY and keeps the original string
  • 📐 Price-per-m² built in — yield and comparison math ready out of the box
  • 🚆 Transit & station access — every 沿線/駅 walk-time line captured
  • 🔎 Detail enrichment — structure, building age, aspect, bath/kitchen/balcony/security facilities, full image set
  • 🔗 Paste-a-URL mode — apply filters in Yahoo!不動産's UI, paste the link, every supported filter is preserved
  • 🗾 Any prefecture — pass a JIS code (13), an English name (Tokyo), or Japanese (東京都)
  • 📦 Clean exports — JSON, CSV, Excel straight from the dataset
  • 🌐 Optional Japan proxy — off by default, available as a one-click escape hatch

🎬 Quick Start

Pick a mode, give it a prefecture or a Yahoo!不動産 search URL, 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~yahoo-realestate-property-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "searchMode": "byPlace", "vertical": "rent", "places": ["13"]}'

🚀 Getting Started (3 Simple Steps)

Step 1: Choose your input

Enter a prefecture (e.g. 13 or Tokyo), paste a Yahoo!不動産 search URL, or list specific listing URLs.

Step 2: Pick depth

overview for fast whole-market room 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-room dataset
  • Prices normalised to JPY plus the raw 万円 strings
  • Layout, area, floor, deposit, station access, and photos

📥 Input Configuration

FieldTypeRequiredDescription
scrapeModestringNooverview (fast room cards) or detail (full spec table)
searchModestringNobyPlace, bySearchUrl, or byListingUrl
verticalstringNorent (full support) or sale verticals (buy, chukomansion, …)
placesarrayNoPrefectures — JIS code, English, or Japanese, e.g. ["13"] (Tokyo)
searchUrlsarrayNoPasted Yahoo!不動産 search URLs (filters preserved)
listingUrlsarrayNoYahoo!不動産 detail URLs or room ids (detail mode)
filtersarrayNoExtra Yahoo!不動産 query filters as key=value
maxResultsintegerNoMax listings per run (FREE: 25, PAID: unlimited)

Example — overview by prefecture:

{
"scrapeMode": "overview",
"searchMode": "byPlace",
"vertical": "rent",
"places": ["13"],
"maxResults": 200
}

Example — detail by search URL:

{
"scrapeMode": "detail",
"searchMode": "bySearchUrl",
"searchUrls": ["https://realestate.yahoo.co.jp/rent/search/?pref=13"]
}

📤 Output

Results are saved to the Apify dataset with 35+ fields per listing, including:

FieldTypeDescription
listingIdstringYahoo!不動産 room id
urlstringCanonical listing URL
rentnumberRent/sale price in JPY
rent_textstringRaw 48万円 string
price_per_sqm_jpynumberComputed price per m²
layoutstring間取り, e.g. 1K, 2LDK
area_m2number専有面積 in m²
floorstringRoom floor
deposit / key_moneystring敷金 / 礼金
building_age / structurestring築年数 / 構造
transitstring沿線/駅 walk-time lines
addressstring所在地
imagesarrayPhoto URLs
bath_toilet / kitchen / securitystringDetail-mode facility fields

Example:

{
"listingId": "000008893370004f89f597040eaa3cabe82eb85891ff",
"url": "https://realestate.yahoo.co.jp/rent/detail/000008893370004f89f597040eaa3cabe82eb85891ff/",
"propertyTitle": "Brillia二番町(7階/2LDK/55.02m2)",
"rent": 480000,
"rent_text": "48万円",
"price_per_sqm_jpy": 8724,
"layout": "2LDK",
"area_m2": 55.02,
"building_age": "築1年未満(2026年05月)",
"structure": "鉄筋コンクリート",
"address": "東京都千代田区二番町",
"station": "麹町駅",
"transit": "麹町駅/東京メトロ有楽町線 徒歩1分以内",
"image_count": 12
}

💼 Use Cases & Examples

1. Rental Market Research

Analysts mapping rent-by-area across a prefecture. Input: prefecture + rent vertical · Output: per-room dataset with price & m² · Use: build a rent heatmap by ward and station.

2. Property Investment Analysis

Investors comparing yields across buildings. Input: a filtered Yahoo!不動産 search URL · Output: price-per-m² on every unit · Use: rank candidate buildings by gross yield.

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

4. Real-Estate Lead Generation

Agencies building prospect lists of active listings. Input: broad search by area · Output: building, address, layout, listing 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 prefectures · Output: structured, reproducible datasets · Use: quantitative housing studies.


🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('sian.agency/yahoo-realestate-property-scraper').call({
scrapeMode: 'overview', searchMode: 'byPlace', vertical: 'rent', places: ['13']
});
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/yahoo-realestate-property-scraper').call(
run_input={'scrapeMode': 'overview', 'searchMode': 'byPlace', 'vertical': 'rent', 'places': ['13']}
)
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~yahoo-realestate-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "searchMode": "byPlace", "vertical": "rent", "places": ["13"]}'

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

📊 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
  • 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


❓ Frequently Asked Questions

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

Q: Why does a building appear as several rows? A: That's the point — Yahoo!不動産 lists vacant rooms under one building, and we give you one clean row per room so price, layout and area are per-unit.

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

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

Q: Are GPS coordinates included? A: Yahoo!不動産 does not expose latitude/longitude in its listing pages. Address, prefecture, city, station and transit lines are included.

Q: What's the difference between overview and detail? A: Overview is the fast room-card data. Detail fetches each listing's full page for extra specs (structure, building age, aspect, facilities) and merges them in.


🐛 Troubleshooting

No results returned

  • Check the prefecture (e.g. 13 or Tokyo) or that the pasted URL is a Yahoo!不動産 search-results page.
  • For sale verticals, use vertical: rent for the richest per-room data.

Fewer rows than expected

  • FREE tier caps at 25 listings per run — upgrade for unlimited.
  • Narrow filters in the Yahoo!不動産 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.

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 Yahoo, Yahoo Japan, LY Corporation, Z Holdings, or any of their affiliates. "Yahoo!不動産", "Yahoo!" and related marks are trademarks of their respective owners. Use this actor in compliance with the site's terms of service and all applicable laws.


🤝 Support

Telegram Support

Join our active support community


Built by SIÁN Agency | More Tools