# Singapore HDB Resale Flat Prices Scraper (`jungle_synthesizer/singapore-hdb-resale-scraper`) Actor Scrape ~976,000 Singapore HDB resale transactions from data.gov.sg, 1990 to present. Returns town, flat type, block, storey range, floor area, lease, resale price, and derived price-per-sqft. Filter by town, flat type, and month range. Refreshed monthly. - **URL**: https://apify.com/jungle\_synthesizer/singapore-hdb-resale-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, Business, Developer tools - **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 ## Singapore HDB Resale Flat Prices Scraper Crawls historical HDB (Housing & Development Board) public housing resale transactions from Singapore's open-data portal (data.gov.sg). HDB flats house roughly 80% of Singapore residents, making this the foundational SG residential-property dataset. ### What you get - **~976,000 transactions** spanning January 1990 to the current month, refreshed monthly - For each record: - Location: town, block, street name, formatted address, storey range - Property: flat type (3-room / 4-room / 5-room / executive / multi-gen), flat model (Improved, Maisonette, DBSS, Premium Apartment, etc.), floor area in sqm and sqft - Lease: lease commencement year, remaining lease in years (derived for pre-2015 records using the 99-year HDB lease) - Price: resale price in SGD, derived price-per-sqft and price-per-sqm - Provenance: source dataset id, transaction basis (resale-approval pre-Mar-2012, registration after), scrape timestamp ### Inputs - **Towns** — filter to one or more of Singapore's 26 HDB towns (ANG MO KIO, BISHAN, TAMPINES, …). Empty = all towns. - **Flat types** — 1/2/3/4/5 ROOM, EXECUTIVE, MULTI-GENERATION. Empty = all types. - **Month from / Month to** — YYYY-MM bounds. Useful for incremental refreshes (`monthFrom: 2025-01` to pull only the latest year). - **Sort order** — newest-first (default) or oldest-first. - **Max items** — caps total records across all matching datasets. Default 15 for previews; set to `0` for an unlimited bulk pull. - **Proxy** — Apify residential rotation by default. data.gov.sg's open-data endpoint rate-limits aggressively per IP, so spreading requests across many residential exit nodes is required for reliable bulk pulls. ### Source & freshness The actor combines five child datasets that make up data.gov.sg's "Resale Flat Prices" collection: | Coverage | Records (~) | Notes | |-------------------|--------------|----------------------------------------| | 1990 – 1999 | 287,000 | resale-approval basis | | 2000 – Feb 2012 | 369,000 | resale-approval basis | | Mar 2012 – 2014 | 52,000 | switched to registration basis | | 2015 – 2016 | 37,000 | adds published `remaining_lease` | | Jan 2017 onward | 230,000+ | rolling, refreshed monthly by HDB | Pre-2015 records do not ship a `remaining_lease` field — the actor derives it from `lease_commence_date` plus the transaction month using the standard 99-year HDB lease. ### Live for-sale listings The original spec asked for active resale listings (asking price, HDB valuation, agent contact). Those live behind **Singpass** — Singapore's national digital-identity gateway, restricted to citizens and permanent residents — so they are not collectable from this actor. Only the historical transaction record is included. ### Pricing Pay-per-event: $0.10 per actor start + $0.001 per record returned. Default test runs (15 records) cost roughly $0.115; a full historical pull (~976,000 records) costs roughly $976.10. ### Need more? File a request via the actor's issue tracker or contact form on the OrbLabs storefront if you need additional fields, a different cadence, or a related Singapore property dataset. # 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. ## `towns` (type: `array`): Filter by HDB town. Leave empty to include all 26 towns. Town names are uppercase as published by HDB (e.g., ANG MO KIO, BISHAN, TAMPINES). ## `flatTypes` (type: `array`): Filter by flat type. Leave empty for all types. ## `monthFrom` (type: `string`): Earliest transaction month to include, in YYYY-MM format (e.g., 2024-01). Leave empty for no lower bound. ## `monthTo` (type: `string`): Latest transaction month to include, in YYYY-MM format (e.g., 2025-12). Leave empty for no upper bound. ## `sortOrder` (type: `string`): Sort returned transactions by month. ## `maxItems` (type: `integer`): Maximum number of transactions to return across all filtered datasets. Set to 0 for unlimited (full historical pull is ~976,000 records). ## `proxyConfiguration` (type: `object`): Select proxies. Apify residential rotation is enabled by default — data.gov.sg's CKAN endpoint rate-limits aggressively per IP, so spreading requests across many residential exit nodes is required for reliable bulk pulls. You can switch to direct connections or datacenter proxies if you only need a small slice. ## 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...", "towns": [], "flatTypes": [], "sortOrder": "desc", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # 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...", "towns": [], "flatTypes": [], "monthFrom": "", "monthTo": "", "sortOrder": "desc", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/singapore-hdb-resale-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...", "towns": [], "flatTypes": [], "monthFrom": "", "monthTo": "", "sortOrder": "desc", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/singapore-hdb-resale-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...", "towns": [], "flatTypes": [], "monthFrom": "", "monthTo": "", "sortOrder": "desc", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call jungle_synthesizer/singapore-hdb-resale-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/singapore-hdb-resale-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Singapore HDB Resale Flat Prices Scraper", "description": "Scrape ~976,000 Singapore HDB resale transactions from data.gov.sg, 1990 to present. Returns town, flat type, block, storey range, floor area, lease, resale price, and derived price-per-sqft. Filter by town, flat type, and month range. Refreshed monthly.", "version": "1.0", "x-build-id": "5uPvzak0PqsZ2WQ0x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~singapore-hdb-resale-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-singapore-hdb-resale-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~singapore-hdb-resale-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-singapore-hdb-resale-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~singapore-hdb-resale-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-singapore-hdb-resale-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "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." }, "towns": { "title": "Towns", "type": "array", "description": "Filter by HDB town. Leave empty to include all 26 towns. Town names are uppercase as published by HDB (e.g., ANG MO KIO, BISHAN, TAMPINES).", "items": { "type": "string", "enum": [ "ANG MO KIO", "BEDOK", "BISHAN", "BUKIT BATOK", "BUKIT MERAH", "BUKIT PANJANG", "BUKIT TIMAH", "CENTRAL AREA", "CHOA CHU KANG", "CLEMENTI", "GEYLANG", "HOUGANG", "JURONG EAST", "JURONG WEST", "KALLANG/WHAMPOA", "MARINE PARADE", "PASIR RIS", "PUNGGOL", "QUEENSTOWN", "SEMBAWANG", "SENGKANG", "SERANGOON", "TAMPINES", "TOA PAYOH", "WOODLANDS", "YISHUN" ] } }, "flatTypes": { "title": "Flat Types", "type": "array", "description": "Filter by flat type. Leave empty for all types.", "items": { "type": "string", "enum": [ "1 ROOM", "2 ROOM", "3 ROOM", "4 ROOM", "5 ROOM", "EXECUTIVE", "MULTI-GENERATION", "MULTI GENERATION" ] } }, "monthFrom": { "title": "Month From", "pattern": "^$|^\\d{4}-\\d{2}$", "type": "string", "description": "Earliest transaction month to include, in YYYY-MM format (e.g., 2024-01). Leave empty for no lower bound." }, "monthTo": { "title": "Month To", "pattern": "^$|^\\d{4}-\\d{2}$", "type": "string", "description": "Latest transaction month to include, in YYYY-MM format (e.g., 2025-12). Leave empty for no upper bound." }, "sortOrder": { "title": "Sort Order", "enum": [ "desc", "asc" ], "type": "string", "description": "Sort returned transactions by month.", "default": "desc" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of transactions to return across all filtered datasets. Set to 0 for unlimited (full historical pull is ~976,000 records).", "default": 15 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies. Apify residential rotation is enabled by default — data.gov.sg's CKAN endpoint rate-limits aggressively per IP, so spreading requests across many residential exit nodes is required for reliable bulk pulls. You can switch to direct connections or datacenter proxies if you only need a small slice.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```