# Singapore URA Private Property Transactions API (`nexgendata/sg-ura-property-transactions`) Actor Track Singapore URA private-property transactions (caveats). Clean JSON for analysts, researchers and AI agents. - **URL**: https://apify.com/nexgendata/sg-ura-property-transactions.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 singapore ura private property transaction records 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 URA Private Property Transactions API Track Singapore URA private-property transactions (caveats). Built for analysts, researchers, fintech builders and AI agents. ### 📊 What you get Clean JSON, one record per transaction (full output has 17 fields): - `area_sqft` — Area sqft - `area_sqm` — Area sqm - `completion_date` — Completion date - `data_source` — Source of the data - `district` — District - `district_name` — District name - `floor_level` — Floor level - `is_luxury` — Is luxury - `is_new_sale` — Is new sale - `project_name` — Project name Records include a `data_source` field. **Pricing:** $0.10 per transaction (Pay-Per-Event) — about **10 transactions per $1**. ### 🤖 Use with AI agents Structured JSON built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull Singapore URA private property caveats and transactions on demand. **Sample agent prompt:** ```` List private condo transactions in District 9 this quarter with PSF. ```` **Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required. ### ⏰ Run on a schedule This is a monitoring play — schedule a recurring pull: ```json { "limit": 50 } ```` ### 🔗 Related Singapore actors **Singapore data suite:** [ACRA Company Search](https://apify.com/nexgendata/singapore-acra-companies), [SGX Announcements](https://apify.com/nexgendata/sgx-company-announcements), [GeBIZ Tenders](https://apify.com/nexgendata/singapore-gebiz-tenders), [HDB Resale](https://apify.com/nexgendata/singapore-hdb-resale-tracker) **Cross-market hubs:** [APAC Disclosure Monitor](https://apify.com/nexgendata/apac-disclosure-monitor), [APAC IPO Calendar Sweep](https://apify.com/nexgendata/apac-ipo-calendar-sweep) *** *Data from public Singapore sources.* # Actor input Schema ## `district` (type: `string`): URA divides Singapore into 28 postal districts. The Core Central Region (CCR) — D01 (Marina/Boat Quay/Raffles Place), D02 (Tanjong Pagar/Anson), D04 (Sentosa Cove/Telok Blangah), D06 (Clarke Quay/City Hall), D09 (Orchard/Killiney/River Valley), D10 (Bukit Timah/Holland/Tanglin), D11 (Newton/Novena/Thomson) — concentrates Singapore's luxury condo stock and most transactions above 5M SGD. The Rest of Central Region (RCR) — D03, D05, D07, D08, D12-D15 — covers prime fringe areas like Tiong Bahru, Pasir Panjang, Bugis, Geylang, Katong. Outside Central Region (OCR) — D16-D28 — covers mass-market suburban condos in Tampines, Pasir Ris, Hougang, Sengkang, Yishun, Woodlands, Choa Chu Kang. Pick 'ALL' to span every district, or a specific 'D09' / 'D10' / 'D11' for luxury-segment analysis. ## `property_type` (type: `string`): URA private residential taxonomy. 'Condominium' (Singapore's dominant strata-title private housing — high-rise with shared facilities). 'Apartment' (smaller / older walk-up developments without full condo facilities). 'Executive Condominium' / 'EC' (public-private hybrid — 10-year MOP before becoming fully private — popular in OCR like Tampines, Punggol, Sengkang). 'Terrace' (landed strata or freehold rowhouses — common in D10, D11, D15, D19, D20). 'Semi-Detached' (paired landed houses). 'Detached' (standalone landed bungalows — the highest-value private segment, mostly D10/D11/D21 and Sentosa Cove D04). 'Strata Detached' / 'Strata Semi-D' / 'Strata Terrace' (cluster-house variants with strata title). Pick 'ALL' for everything. ## `type_of_sale` (type: `string`): URA classifies each transaction as: 'New Sale' (developer-direct primary market sale — typically off-plan or first-hand from condo launch — strong indicator of new-supply absorption and developer pricing power); 'Sub Sale' (subsequent assignment of a yet-to-be-completed unit between private buyers — CCR speculation indicator); 'Resale' (secondary market — completed unit changes hands — the dominant volume segment). Pick 'ALL' to span all three. Investors often slice by 'New Sale' to track developer launch performance, or 'Resale' for genuine market price discovery. ## `min_price_sgd` (type: `integer`): Lower bound on transacted price in Singapore Dollars. Filters out cheaper transactions client-side. Set to 5000000 to surface only luxury (>= 5M SGD) — useful for high-net-worth and family-office property research. Set to 10000000 for the ultra-prime segment (10M+) which concentrates in Sentosa Cove (D04), Nassim Road (D10), Cluny Park (D10), and Good Class Bungalow areas. Leave 0 for no lower bound. ## `max_price_sgd` (type: `integer`): Upper bound on transacted price in Singapore Dollars. Filters out expensive transactions client-side. Useful for first-time-private-buyer affordability research (set to 1500000 to bound TDSR-eligible mid-market condos in OCR) or for excluding outliers from a portfolio sample. Leave 0 for no upper bound. ## `sale_date_from` (type: `string`): Lower bound on sale date in 'YYYY-MM' format (e.g. '2024-01'). URA publishes private property transactions weekly with about a 2-3 week lag. Use together with 'sale\_date\_to' to bound a window — for example '2025-01' to '2025-12' for full-year-2025 transactions across the private market. Leave empty for no lower bound. ## `sale_date_to` (type: `string`): Upper bound on sale date in 'YYYY-MM' format (e.g. '2026-04'). Pair with 'sale\_date\_from' to bound the window. URA's full transaction dataset goes back about 5 years (older data archived). Leave empty for no upper bound (returns up to the most recent published week). ## `luxury_only` (type: `boolean`): Quick filter for Singapore's luxury private property market: any transaction with transacted\_price >= 5M SGD, OR any transaction in District 09 (Orchard / Killiney / River Valley), District 10 (Bukit Timah / Holland / Tanglin / Nassim), or District 11 (Newton / Novena / Thomson). These three districts plus D04 Sentosa Cove form the bulk of Singapore's high-net-worth private property activity tracked by Knight Frank, Savills, Cushman & Wakefield, and JLL in their quarterly luxury-residential indices. ## `ura_access_key` (type: `string`): Optional URA Data Service AccessKey for live (real-time) transaction data. Free to obtain — register at https://www.ura.gov.sg/maps/api/reg.html and URA emails the AccessKey within 1-2 business days. With a valid AccessKey, this actor calls URA's PMI\_Resi\_Transaction service and returns the most recent live transactions matching your filters. Without an AccessKey (default) the actor returns from a packaged URA-format reference dataset covering all 28 districts and major property types — useful for schema validation, smoke testing, and small recurring sample pulls. Leave empty to use the packaged dataset. ## `limit` (type: `integer`): Hard cap on total transactions returned in this run (1-2000). Each transaction is one URA private-property record. Premium pricing applies per row ($0.10/transaction — institutional-real-estate tier). Most recent transactions are returned first (sorted by sale\_date descending). ## Actor input object example ```json { "district": "ALL", "property_type": "ALL", "type_of_sale": "ALL", "min_price_sgd": 0, "max_price_sgd": 0, "luxury_only": false, "limit": 10 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "district": "ALL", "property_type": "ALL", "type_of_sale": "ALL", "min_price_sgd": 0, "max_price_sgd": 0, "sale_date_from": "", "sale_date_to": "", "luxury_only": false, "ura_access_key": "", "limit": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/sg-ura-property-transactions").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "ALL", "property_type": "ALL", "type_of_sale": "ALL", "min_price_sgd": 0, "max_price_sgd": 0, "sale_date_from": "", "sale_date_to": "", "luxury_only": False, "ura_access_key": "", "limit": 10, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/sg-ura-property-transactions").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": "ALL", "property_type": "ALL", "type_of_sale": "ALL", "min_price_sgd": 0, "max_price_sgd": 0, "sale_date_from": "", "sale_date_to": "", "luxury_only": false, "ura_access_key": "", "limit": 10 }' | apify call nexgendata/sg-ura-property-transactions --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/sg-ura-property-transactions", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Singapore URA Private Property Transactions API", "description": "Track Singapore URA private-property transactions (caveats). Clean JSON for analysts, researchers and AI agents.", "version": "0.0", "x-build-id": "1fp24iMtaf0oeUrVl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~sg-ura-property-transactions/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-sg-ura-property-transactions", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~sg-ura-property-transactions/runs": { "post": { "operationId": "runs-sync-nexgendata-sg-ura-property-transactions", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~sg-ura-property-transactions/run-sync": { "post": { "operationId": "run-sync-nexgendata-sg-ura-property-transactions", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Postal District (D01-D28)", "enum": [ "ALL", "D01", "D02", "D03", "D04", "D05", "D06", "D07", "D08", "D09", "D10", "D11", "D12", "D13", "D14", "D15", "D16", "D17", "D18", "D19", "D20", "D21", "D22", "D23", "D24", "D25", "D26", "D27", "D28" ], "type": "string", "description": "URA divides Singapore into 28 postal districts. The Core Central Region (CCR) — D01 (Marina/Boat Quay/Raffles Place), D02 (Tanjong Pagar/Anson), D04 (Sentosa Cove/Telok Blangah), D06 (Clarke Quay/City Hall), D09 (Orchard/Killiney/River Valley), D10 (Bukit Timah/Holland/Tanglin), D11 (Newton/Novena/Thomson) — concentrates Singapore's luxury condo stock and most transactions above 5M SGD. The Rest of Central Region (RCR) — D03, D05, D07, D08, D12-D15 — covers prime fringe areas like Tiong Bahru, Pasir Panjang, Bugis, Geylang, Katong. Outside Central Region (OCR) — D16-D28 — covers mass-market suburban condos in Tampines, Pasir Ris, Hougang, Sengkang, Yishun, Woodlands, Choa Chu Kang. Pick 'ALL' to span every district, or a specific 'D09' / 'D10' / 'D11' for luxury-segment analysis.", "default": "ALL" }, "property_type": { "title": "Property type", "enum": [ "ALL", "Condominium", "Apartment", "Executive Condominium", "Terrace", "Semi-Detached", "Detached", "Strata Detached", "Strata Semi-Detached", "Strata Terrace" ], "type": "string", "description": "URA private residential taxonomy. 'Condominium' (Singapore's dominant strata-title private housing — high-rise with shared facilities). 'Apartment' (smaller / older walk-up developments without full condo facilities). 'Executive Condominium' / 'EC' (public-private hybrid — 10-year MOP before becoming fully private — popular in OCR like Tampines, Punggol, Sengkang). 'Terrace' (landed strata or freehold rowhouses — common in D10, D11, D15, D19, D20). 'Semi-Detached' (paired landed houses). 'Detached' (standalone landed bungalows — the highest-value private segment, mostly D10/D11/D21 and Sentosa Cove D04). 'Strata Detached' / 'Strata Semi-D' / 'Strata Terrace' (cluster-house variants with strata title). Pick 'ALL' for everything.", "default": "ALL" }, "type_of_sale": { "title": "Type of sale", "enum": [ "ALL", "New Sale", "Sub Sale", "Resale" ], "type": "string", "description": "URA classifies each transaction as: 'New Sale' (developer-direct primary market sale — typically off-plan or first-hand from condo launch — strong indicator of new-supply absorption and developer pricing power); 'Sub Sale' (subsequent assignment of a yet-to-be-completed unit between private buyers — CCR speculation indicator); 'Resale' (secondary market — completed unit changes hands — the dominant volume segment). Pick 'ALL' to span all three. Investors often slice by 'New Sale' to track developer launch performance, or 'Resale' for genuine market price discovery.", "default": "ALL" }, "min_price_sgd": { "title": "Minimum transacted price (SGD)", "minimum": 0, "maximum": 100000000, "type": "integer", "description": "Lower bound on transacted price in Singapore Dollars. Filters out cheaper transactions client-side. Set to 5000000 to surface only luxury (>= 5M SGD) — useful for high-net-worth and family-office property research. Set to 10000000 for the ultra-prime segment (10M+) which concentrates in Sentosa Cove (D04), Nassim Road (D10), Cluny Park (D10), and Good Class Bungalow areas. Leave 0 for no lower bound.", "default": 0 }, "max_price_sgd": { "title": "Maximum transacted price (SGD)", "minimum": 0, "maximum": 200000000, "type": "integer", "description": "Upper bound on transacted price in Singapore Dollars. Filters out expensive transactions client-side. Useful for first-time-private-buyer affordability research (set to 1500000 to bound TDSR-eligible mid-market condos in OCR) or for excluding outliers from a portfolio sample. Leave 0 for no upper bound.", "default": 0 }, "sale_date_from": { "title": "Sale date from (YYYY-MM)", "type": "string", "description": "Lower bound on sale date in 'YYYY-MM' format (e.g. '2024-01'). URA publishes private property transactions weekly with about a 2-3 week lag. Use together with 'sale_date_to' to bound a window — for example '2025-01' to '2025-12' for full-year-2025 transactions across the private market. Leave empty for no lower bound." }, "sale_date_to": { "title": "Sale date to (YYYY-MM)", "type": "string", "description": "Upper bound on sale date in 'YYYY-MM' format (e.g. '2026-04'). Pair with 'sale_date_from' to bound the window. URA's full transaction dataset goes back about 5 years (older data archived). Leave empty for no upper bound (returns up to the most recent published week)." }, "luxury_only": { "title": "Only luxury transactions (>= 5,000,000 SGD or D09 / D10 / D11)", "type": "boolean", "description": "Quick filter for Singapore's luxury private property market: any transaction with transacted_price >= 5M SGD, OR any transaction in District 09 (Orchard / Killiney / River Valley), District 10 (Bukit Timah / Holland / Tanglin / Nassim), or District 11 (Newton / Novena / Thomson). These three districts plus D04 Sentosa Cove form the bulk of Singapore's high-net-worth private property activity tracked by Knight Frank, Savills, Cushman & Wakefield, and JLL in their quarterly luxury-residential indices.", "default": false }, "ura_access_key": { "title": "URA Data Service AccessKey (optional, for live data)", "type": "string", "description": "Optional URA Data Service AccessKey for live (real-time) transaction data. Free to obtain — register at https://www.ura.gov.sg/maps/api/reg.html and URA emails the AccessKey within 1-2 business days. With a valid AccessKey, this actor calls URA's PMI_Resi_Transaction service and returns the most recent live transactions matching your filters. Without an AccessKey (default) the actor returns from a packaged URA-format reference dataset covering all 28 districts and major property types — useful for schema validation, smoke testing, and small recurring sample pulls. Leave empty to use the packaged dataset." }, "limit": { "title": "Max transactions returned", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on total transactions returned in this run (1-2000). Each transaction is one URA private-property record. Premium pricing applies per row ($0.10/transaction — institutional-real-estate tier). Most recent transactions are returned first (sorted by sale_date descending).", "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 } } } } } } } } } } ```