# Yahoo!不動産 Scraper — Japan Property Data & API (`sian.agency/yahoo-realestate-property-scraper`) Actor 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. - **URL**: https://apify.com/sian.agency/yahoo-realestate-property-scraper.md - **Developed by:** [SIÁN OÜ](https://apify.com/sian.agency) (community) - **Categories:** Real estate, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 overview listing extracteds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Yahoo!不動産 Scraper — Japan Property Data & API 🏯 [![SIÁN Agency Store](https://img.shields.io/badge/Store-SI%C3%81N%20Agency-1AE392)](https://apify.com/sian.agency?fpr=sian) [![Smart Idealista Scraper](https://img.shields.io/badge/Store-Smart%20Idealista%20Scraper-E60023)](https://apify.com/sian.agency/smart-idealista-scraper?fpr=sian) [![Immobiliare.it Scraper](https://img.shields.io/badge/Store-Immobiliare.it%20Scraper-1AE392)](https://apify.com/sian.agency/immobiliare-property-scraper?fpr=sian) [![Bayut Property Scraper](https://img.shields.io/badge/Store-Bayut%20Property%20Scraper-93D500)](https://apify.com/sian.agency/bayut-property-scraper?fpr=sian) #### 🎉 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 normalised** — `48万円` 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. ```bash 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 | Field | Type | Required | Description | |-------|------|----------|-------------| | scrapeMode | string | No | `overview` (fast room cards) or `detail` (full spec table) | | searchMode | string | No | `byPlace`, `bySearchUrl`, or `byListingUrl` | | vertical | string | No | `rent` (full support) or sale verticals (`buy`, `chukomansion`, …) | | places | array | No | Prefectures — JIS code, English, or Japanese, e.g. `["13"]` (Tokyo) | | searchUrls | array | No | Pasted Yahoo!不動産 search URLs (filters preserved) | | listingUrls | array | No | Yahoo!不動産 detail URLs or room ids (detail mode) | | filters | array | No | Extra Yahoo!不動産 query filters as `key=value` | | maxResults | integer | No | Max listings per run (FREE: 25, PAID: unlimited) | **Example — overview by prefecture:** ```json { "scrapeMode": "overview", "searchMode": "byPlace", "vertical": "rent", "places": ["13"], "maxResults": 200 } ``` **Example — detail by search URL:** ```json { "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: | Field | Type | Description | |-------|------|-------------| | listingId | string | Yahoo!不動産 room id | | url | string | Canonical listing URL | | rent | number | Rent/sale price in JPY | | rent\_text | string | Raw `48万円` string | | price\_per\_sqm\_jpy | number | Computed price per m² | | layout | string | 間取り, e.g. `1K`, `2LDK` | | area\_m2 | number | 専有面積 in m² | | floor | string | Room floor | | deposit / key\_money | string | 敷金 / 礼金 | | building\_age / structure | string | 築年数 / 構造 | | transit | string | 沿線/駅 walk-time lines | | address | string | 所在地 | | images | array | Photo URLs | | bath\_toilet / kitchen / security | string | Detail-mode facility fields | **Example:** ```json { "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. #### 3. Relocation & Tenant Search **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 ```javascript 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 ```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 ```bash 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 #### 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](https://apify.com/sian.agency/yahoo-realestate-property-scraper?fpr=sian) *** ### ❓ 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. *** ### ⚖️ 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](https://blog.apify.com/is-web-scraping-legal/). > **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](https://img.shields.io/badge/Telegram-Support%20Group-0088cc?logo=telegram)](https://t.me/+vyh1sRE08sAxMGRi) **Join our active support community** - For issues or questions, open an issue in the actor's repository - Check the [SIÁN Agency Store](https://apify.com/sian.agency?fpr=sian) for more automation tools - 📧 *** **Built by [SIÁN Agency](https://www.sian-agency.online)** | **[More Tools](https://apify.com/sian.agency?fpr=sian)** # Actor input Schema ## `scrapeMode` (type: `string`): 🧭 **OVERVIEW** (cheap, primary): room-level cards from the search results — one row per rentable unit, with price, layout, area, floor, deposit, key money, station access & cover photo. 🔎 **DETAIL** (enrich): fetches each listing's full page for the complete spec table — structure, building age, aspect, facilities (bath, kitchen, balcony, security), address, full image set. Detail merges overview + detail into one record. ## `searchMode` (type: `string`): 🔀 How listings are discovered. - **byPlace** — give one or more prefectures (JIS code like `13`, or a name like `Tokyo` / `東京都`) + a vertical. - **bySearchUrl** — paste a ready-made Yahoo!不動産 search URL with your filters applied in the UI (most reliable). - **byListingUrl** — fetch specific listings directly (DETAIL only). ## `vertical` (type: `string`): 🏘️ Which Yahoo!不動産 vertical to scrape. - **rent** (賃貸) — fully supported; explodes each building into one row per room. - **buy / chukomansion / chukoikkodate / shinchikuikkodate / tochi** — sale verticals (use `rent` for the richest per-room data). ## `places` (type: `array`): 📍 **BY PREFECTURE:** Prefectures to scrape — JIS code (`13`), English name (`Tokyo`) or Japanese (`東京都`). Common codes: `13` Tokyo, `27` Osaka, `14` Kanagawa, `23` Aichi, `40` Fukuoka. 💡 **TIP:** For precise filtering, use **bySearchUrl** instead — apply your filters in Yahoo!不動産's UI and paste the URL. ## `searchUrls` (type: `array`): 🔗 **BY SEARCH URL:** Paste one or more Yahoo!不動産 search-results URLs. Apply all your filters in the UI first, then copy the address — every supported filter is preserved. ## `listingUrls` (type: `array`): 🏠 **BY LISTING URL (DETAIL ONLY):** Paste Yahoo!不動産 detail URLs (e.g. `https://realestate.yahoo.co.jp/rent/detail/000008893370004f89.../`) or bare room ids. Used with scrapeMode = detail. ## `filters` (type: `array`): 🎛️ **OPTIONAL:** Extra Yahoo!不動産 query filters as `key=value`, applied to byPlace searches. Examples: `sort=14` (sort order), `walk=10` (max station walk minutes), `madori=...` (layout). Copy the exact key=value pairs from a Yahoo!不動産 search URL. ## `maxResults` (type: `integer`): 🔢 Maximum listings to return per run. **FREE users:** capped at 25 · **PAID users:** unlimited. ## `useProxy` (type: `boolean`): 🌐 Route requests through a Japan residential proxy. **Off by default** — Yahoo!不動産 is reachable without a proxy, so leaving this off keeps runs fast and cheap. Enable only if you hit a geo-block or rate-limit. ## Actor input object example ```json { "scrapeMode": "overview", "searchMode": "byPlace", "vertical": "rent", "places": [ "13" ], "maxResults": 100, "useProxy": false } ``` # Actor output Schema ## `results` (type: `string`): All scraped Yahoo!不動産 listings as a clean JSON/CSV dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("sian.agency/yahoo-realestate-property-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("sian.agency/yahoo-realestate-property-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call sian.agency/yahoo-realestate-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sian.agency/yahoo-realestate-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo!不動産 Scraper — Japan Property Data & API", "description": "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.", "version": "1.0", "x-build-id": "exHFNg3eCr5AL8bnH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sian.agency~yahoo-realestate-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sian.agency-yahoo-realestate-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sian.agency~yahoo-realestate-property-scraper/runs": { "post": { "operationId": "runs-sync-sian.agency-yahoo-realestate-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sian.agency~yahoo-realestate-property-scraper/run-sync": { "post": { "operationId": "run-sync-sian.agency-yahoo-realestate-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "scrapeMode": { "title": "🧭 Scrape mode", "enum": [ "overview", "detail" ], "type": "string", "description": "🧭 **OVERVIEW** (cheap, primary): room-level cards from the search results — one row per rentable unit, with price, layout, area, floor, deposit, key money, station access & cover photo.\n\n🔎 **DETAIL** (enrich): fetches each listing's full page for the complete spec table — structure, building age, aspect, facilities (bath, kitchen, balcony, security), address, full image set. Detail merges overview + detail into one record.", "default": "overview" }, "searchMode": { "title": "🔀 Search mode", "enum": [ "byPlace", "bySearchUrl", "byListingUrl" ], "type": "string", "description": "🔀 How listings are discovered.\n\n- **byPlace** — give one or more prefectures (JIS code like `13`, or a name like `Tokyo` / `東京都`) + a vertical.\n- **bySearchUrl** — paste a ready-made Yahoo!不動産 search URL with your filters applied in the UI (most reliable).\n- **byListingUrl** — fetch specific listings directly (DETAIL only).", "default": "byPlace" }, "vertical": { "title": "🏘️ Vertical", "enum": [ "rent", "buy", "chukomansion", "chukoikkodate", "shinchikuikkodate", "tochi" ], "type": "string", "description": "🏘️ Which Yahoo!不動産 vertical to scrape.\n\n- **rent** (賃貸) — fully supported; explodes each building into one row per room.\n- **buy / chukomansion / chukoikkodate / shinchikuikkodate / tochi** — sale verticals (use `rent` for the richest per-room data).", "default": "rent" }, "places": { "title": "📍 Prefectures", "type": "array", "description": "📍 **BY PREFECTURE:** Prefectures to scrape — JIS code (`13`), English name (`Tokyo`) or Japanese (`東京都`). Common codes: `13` Tokyo, `27` Osaka, `14` Kanagawa, `23` Aichi, `40` Fukuoka.\n\n💡 **TIP:** For precise filtering, use **bySearchUrl** instead — apply your filters in Yahoo!不動産's UI and paste the URL.", "default": [ "13" ], "items": { "type": "string" } }, "searchUrls": { "title": "🔗 Search URLs", "type": "array", "description": "🔗 **BY SEARCH URL:** Paste one or more Yahoo!不動産 search-results URLs. Apply all your filters in the UI first, then copy the address — every supported filter is preserved.", "items": { "type": "string" } }, "listingUrls": { "title": "🏠 Listing URLs", "type": "array", "description": "🏠 **BY LISTING URL (DETAIL ONLY):** Paste Yahoo!不動産 detail URLs (e.g. `https://realestate.yahoo.co.jp/rent/detail/000008893370004f89.../`) or bare room ids. Used with scrapeMode = detail.", "items": { "type": "string" } }, "filters": { "title": "🎛️ Extra filters", "type": "array", "description": "🎛️ **OPTIONAL:** Extra Yahoo!不動産 query filters as `key=value`, applied to byPlace searches. Examples: `sort=14` (sort order), `walk=10` (max station walk minutes), `madori=...` (layout). Copy the exact key=value pairs from a Yahoo!不動産 search URL.", "items": { "type": "string" } }, "maxResults": { "title": "🔢 Max results", "minimum": 1, "type": "integer", "description": "🔢 Maximum listings to return per run. **FREE users:** capped at 25 · **PAID users:** unlimited.", "default": 100 }, "useProxy": { "title": "🌐 Use Japan residential proxy", "type": "boolean", "description": "🌐 Route requests through a Japan residential proxy. **Off by default** — Yahoo!不動産 is reachable without a proxy, so leaving this off keeps runs fast and cheap. Enable only if you hit a geo-block or rate-limit.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```