# Singapore Property Analytics - HDB & Real Estate Data (`ntriqpro/sg-property-intelligence`) Actor Research Singapore property market. Get HDB housing data, prices, and real estate analytics. - **URL**: https://apify.com/ntriqpro/sg-property-intelligence.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** Business, Real estate - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $180.00 / 1,000 singapore property queries 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 ## Singapore Property Intelligence Actor Aggregate Singapore Urban Redevelopment Authority (URA) private residential property price index, Housing & Development Board (HDB) resale flat prices, World Bank Singapore economic indicators, and Our World in Data urbanization trends. Returns: - **URA**: Private Residential Property Price Index (quarterly) - **HDB**: Recent resale transactions, median prices, transaction volume (for specified town or citywide) - **World Bank**: Real interest rates, GDP growth, urban population - **Our World in Data**: Urbanization percentage (Singapore-wide) - **Investment Score**: Composite 0-100 score based on market fundamentals ### Input ```json { "district": "BISHAN", // Optional: HDB town (e.g., BISHAN, TAMPINES, ORCHARD) "propertyType": "hdb" // "hdb" or "private" } ```` ### Output ```json { "query": { "district": "BISHAN", "propertyType": "hdb" }, "ura": { "privatePropertyPriceIndex": [...], "avgPricePerSqft": 2150 }, "hdb": { "recentTransactions": [ { "town": "BISHAN", "flatType": "4 ROOM", "price": 780000, "resaleDate": "2024-09" }, ... ], "medianPrice": 750000, "transactionCount90d": 42 }, "worldBankSG": { "realInterestRate": 2.3, "gdpGrowth": 1.2, "urbanPopulation": 5637000 }, "owidUrbanization": { "urbanShare": 100.0 }, "investmentScore": 72, "sources": [...], "disclaimer": "...", "timestamp": "2024-04-08T10:30:00Z" } ``` ### Data Sources 1. **Singapore URA** — Private Residential Property Price Index (Singapore Open Data Licence v1.0) - Endpoint: `https://data.gov.sg/api/action/datastore_search` - Updated quarterly 2. **Singapore HDB** — Resale Flat Prices (Singapore Open Data Licence v1.0) - Endpoint: `https://data.gov.sg/api/action/datastore_search` - Updated monthly 3. **World Bank Open Data** — Singapore economic indicators (CC-BY 4.0) - Real interest rates, GDP growth, urban population - Updated annually 4. **Our World in Data** — Urbanization trends (CC-BY 4.0) - Singapore urbanization percentage - Historical data through 2050 projections ### Pricing Pay-Per-Event: $0.18 per property query (market analysis). Includes: - Real-time data from 4 APIs - Investment score calculation - Historical transaction data aggregation ### ⚠️ Legal Disclaimer This Actor aggregates publicly available Singapore property and economic data from: - Singapore Urban Redevelopment Authority (URA) Private Residential Property Price Index (Singapore Open Data Licence v1.0) - Singapore Housing & Development Board (HDB) Resale Flat Prices (Singapore Open Data Licence v1.0) - The World Bank Open Data (CC-BY 4.0) - Our World in Data (CC-BY 4.0) **NOT investment advice.** This Actor provides historical data aggregation only. - Does NOT recommend property purchases, sales, or investment decisions - Does NOT forecast future property prices or rental yields - Does NOT constitute financial, legal, or real estate advice - Does NOT replace consultation with licensed real estate professionals - Historical transactions do not predict future market performance - Users must verify all data with official sources All source data is redistributed under the original license terms with attribution. Data retrieved in real-time; not cached or stored by this Actor. Attribution: - "Data source: Singapore Urban Redevelopment Authority via data.gov.sg (Singapore Open Data Licence)" - "Data source: Singapore Housing & Development Board via data.gov.sg (Singapore Open Data Licence)" - "Data source: The World Bank (CC BY 4.0)" - "Data source: Our World in Data (CC BY 4.0)" ### Development ```bash npm install npm start ## Test with input npm start -- '{"district":"BISHAN","propertyType":"hdb"}' ``` ### Deployment ```bash apify push apify call --input='{"district":"BISHAN","propertyType":"hdb"}' ``` # Actor input Schema ## `district` (type: `string`): HDB town or planning area (e.g., 'BISHAN', 'TAMPINES', 'ORCHARD'). If omitted, returns Singapore-wide data. ## `propertyType` (type: `string`): Either 'hdb' (Housing & Development Board, ~80% public housing) or 'private' (private residential). Default: 'hdb'. ## Actor input object example ```json { "district": "BISHAN", "propertyType": "hdb" } ``` # 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 = { "district": "BISHAN", "propertyType": "hdb" }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/sg-property-intelligence").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 = { "district": "BISHAN", "propertyType": "hdb", } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/sg-property-intelligence").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 '{ "district": "BISHAN", "propertyType": "hdb" }' | apify call ntriqpro/sg-property-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/sg-property-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Singapore Property Analytics - HDB & Real Estate Data", "description": "Research Singapore property market. Get HDB housing data, prices, and real estate analytics.", "version": "1.0", "x-build-id": "YoSz8Wtnvela3jp1v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~sg-property-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-sg-property-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~sg-property-intelligence/runs": { "post": { "operationId": "runs-sync-ntriqpro-sg-property-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~sg-property-intelligence/run-sync": { "post": { "operationId": "run-sync-ntriqpro-sg-property-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "district": { "title": "Singapore District/Town (Optional)", "type": "string", "description": "HDB town or planning area (e.g., 'BISHAN', 'TAMPINES', 'ORCHARD'). If omitted, returns Singapore-wide data." }, "propertyType": { "title": "Property Type", "enum": [ "hdb", "private" ], "type": "string", "description": "Either 'hdb' (Housing & Development Board, ~80% public housing) or 'private' (private residential). Default: 'hdb'." } } }, "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 } } } } } } } } } } ```