# Kenbiya Scraper — Japan Investment Property (建美家) (`jungle_synthesizer/kenbiya-investor-scraper`) Actor Scrape Kenbiya (建美家 / kenbiya.com) — Japan's #2 investment-property portal after Rakumachi. Extracts yield, monthly rent, occupancy, structure, and broker data from ~20-40K active listings. Natural companion to rakumachi-investment-scraper for full Japan investor-market coverage. - **URL**: https://apify.com/jungle\_synthesizer/kenbiya-investor-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Kenbiya Scraper — Japan Investment Property (建美家) Scrape investment-property listings from [Kenbiya (建美家)](https://www.kenbiya.com) — Japan's #2 investor real-estate portal after Rakumachi. Returns structured data on yield, monthly rent, occupancy, building structure, and listing broker for ~20,000–40,000 active listings. This actor is the broker-side companion to our [Rakumachi](https://apify.com/jungle_synthesizer) retail-investor scraper. Together they cover the full Japanese income-property market. ### What It Returns Each record contains the following fields (non-available fields are `null`): | Field | Type | Description | |---|---|---| | `listing_id` | string | Kenbiya listing ID (10-char alphanumeric) | | `title` | string | Property name / title | | `property_type` | string | `apartment_building` / `unit` / `store` / `land` / `other` | | `prefecture` | string | Prefecture English slug (e.g. `tokyo`) | | `city` | string | Japanese city / ward | | `address_ja` | string | Full Japanese address | | `price_jpy` | number | Price in yen (integer) | | `price_usd` | number | Price in USD at 150 JPY/USD | | `gross_yield_pct` | number | Full-occupancy (表面) yield percentage | | `net_yield_pct` | number | Net (実質) yield percentage where published | | `monthly_rent_jpy` | number | Full-occupancy monthly rent (JPY) | | `units_total` | integer | Total units in the building | | `units_occupied` | integer | Occupied units if disclosed | | `building_year` | integer | Gregorian year built | | `building_age_years` | integer | Building age | | `building_area_sqm` | number | Private floor area (m²) | | `land_area_sqm` | number | Land area (m²) for 一棟 buildings | | `building_structure` | string | RC造 / SRC造 / 鉄骨造 / 木造 etc. | | `floors` | integer | Total floors in the building | | `nearest_station` | string | Nearest rail station (Japanese, line + name) | | `station_distance_min` | integer | Walking minutes to nearest station | | `broker_name` | string | Listing broker / agency | | `photos` | array | Absolute URLs of property photos | | `description_ja` | string | Free-form Japanese listing description | | `listing_url` | string | Absolute Kenbiya URL | | `scraped_at` | string | ISO-8601 scrape timestamp | ### Inputs | Field | Default | Description | |---|---|---| | `prefectures` | `["tokyo"]` | Array of 47-prefecture English slugs (e.g. `["tokyo","osaka","kyoto"]`) | | `propertyType` | `any` | Filter: `any` / `apartment_building` / `unit` / `store` / `land` | | `minYieldPct` | `0` | Optional — drop listings below this gross-yield percentage | | `fetchDetails` | `true` | When `false`, only listing-card fields are returned (skips detail-page crawl) | | `maxItems` | `50` | Cap on total records returned | Selecting multiple prefectures or `propertyType: "any"` will crawl each combination independently. ### Pricing Pay-Per-Event via Apify's standard PPE profile: - $0.10 per actor start - $0.001 per record returned ### Example Output ```json { "listing_id": "44422313fh", "title": "カテリーナ市ヶ谷", "property_type": "unit", "prefecture": "tokyo", "city": "新宿区", "address_ja": "東京都新宿区四谷坂町", "price_jpy": 25100000, "price_usd": 167333, "gross_yield_pct": 4.11, "monthly_rent_jpy": 86000, "units_total": 51, "building_year": 1998, "building_age_years": 28, "building_area_sqm": 22.48, "building_structure": "RC造", "floors": 5, "nearest_station": "都営新宿線 曙橋駅", "station_distance_min": 7, "broker_name": "東急リバブル 事業開発部 投資マンション推進課", "photos": [ "https://www.kenbiya.com/upload/p4442/4442231/1775052034006-1.jpg" ], "listing_url": "https://www.kenbiya.com/pp1/s/tokyo/shinjuku-ku/re_44422313fh/", "scraped_at": "2026-04-20T14:17:18.170Z" } ```` ### Need More Features? Need a different data field, a different market, or a custom extraction? Open an issue — we customise scrapers on request. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `prefectures` (type: `array`): Japanese prefectures to crawl (English slugs). Leave empty for Tokyo + Osaka. ## `propertyType` (type: `string`): Which property category to crawl. 'any' covers all categories. ## `minYieldPct` (type: `integer`): Optional — drop listings below this gross-yield percentage. Leave blank to include all. ## `fetchDetails` (type: `boolean`): When true, crawl each listing's detail page for full yield / structure / broker data. When false, only listing-card fields are returned. ## `maxItems` (type: `integer`): Cap total number of listings returned (stops enqueueing once reached). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "prefectures": [ "tokyo" ], "propertyType": "any", "minYieldPct": 0, "fetchDetails": true, "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "prefectures": [ "tokyo" ], "propertyType": "any", "minYieldPct": 0, "fetchDetails": true, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/kenbiya-investor-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "prefectures": ["tokyo"], "propertyType": "any", "minYieldPct": 0, "fetchDetails": True, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/kenbiya-investor-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "prefectures": [ "tokyo" ], "propertyType": "any", "minYieldPct": 0, "fetchDetails": true, "maxItems": 50 }' | apify call jungle_synthesizer/kenbiya-investor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/kenbiya-investor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kenbiya Scraper — Japan Investment Property (建美家)", "description": "Scrape Kenbiya (建美家 / kenbiya.com) — Japan's #2 investment-property portal\nafter Rakumachi. Extracts yield, monthly rent, occupancy, structure, and\nbroker data from ~20-40K active listings. Natural companion to\nrakumachi-investment-scraper for full Japan investor-market coverage.\n", "version": "1.0", "x-build-id": "MMERyyzDHUPb3LlrO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~kenbiya-investor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-kenbiya-investor-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~kenbiya-investor-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-kenbiya-investor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~kenbiya-investor-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-kenbiya-investor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "prefectures": { "title": "Prefectures", "type": "array", "description": "Japanese prefectures to crawl (English slugs). Leave empty for Tokyo + Osaka.", "items": { "type": "string", "enum": [ "hokkaido", "aomori", "iwate", "miyagi", "akita", "yamagata", "fukushima", "ibaraki", "tochigi", "gunma", "saitama", "chiba", "tokyo", "kanagawa", "niigata", "toyama", "ishikawa", "fukui", "yamanashi", "nagano", "gifu", "shizuoka", "aichi", "mie", "shiga", "kyoto", "osaka", "hyogo", "nara", "wakayama", "tottori", "shimane", "okayama", "hiroshima", "yamaguchi", "tokushima", "kagawa", "ehime", "kochi", "fukuoka", "saga", "nagasaki", "kumamoto", "oita", "miyazaki", "kagoshima", "okinawa" ] } }, "propertyType": { "title": "Property Type", "enum": [ "any", "apartment_building", "unit", "store", "land" ], "type": "string", "description": "Which property category to crawl. 'any' covers all categories.", "default": "any" }, "minYieldPct": { "title": "Minimum Gross Yield %", "minimum": 0, "maximum": 50, "type": "integer", "description": "Optional — drop listings below this gross-yield percentage. Leave blank to include all.", "default": 0 }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "When true, crawl each listing's detail page for full yield / structure / broker data. When false, only listing-card fields are returned.", "default": true }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap total number of listings returned (stops enqueueing once reached).", "default": 50 } } }, "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 } } } } } } } } } } ```