# Singapore URA Commercial Property Caveats API (`nexgendata/singapore-ura-commercial-property`) Actor Track Singapore URA commercial-property transactions (caveats). Clean JSON for analysts, researchers and AI agents. - **URL**: https://apify.com/nexgendata/singapore-ura-commercial-property.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Real estate, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 caveats 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 Commercial Property Caveats API Track Singapore URA commercial-property transactions (caveats). Built for analysts, researchers, fintech builders and AI agents. ### 📊 What you get Clean JSON, one record per caveat (full output has 17 fields): - `address` — Address - `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_cbd` — Is cbd - `is_shophouse` — Is shophouse Records include a `data_source` field. **Pricing:** $0.15 per caveat (Pay-Per-Event) — about **7 caveats 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 commercial property transactions (caveats) on demand. **Sample agent prompt:** ```` List CBD commercial property transactions this year with price and area. ```` **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 ## `propertyTypes` (type: `array`): Which Singapore commercial property categories to include. 'office' — Grade-A strata office floors in Suntec, Prudential Tower, Samsung Hub, Wallich Residence Tower, Asia Square, Marina Bay Financial Centre, MBFC, plus suburban office in JTC Summit, Mapletree Business City. 'retail' — strata shop units in CCR malls (ION Orchard, Ngee Ann City, Bugis Junction, Raffles City) and suburban heartland malls (Tampines Mall, Compass One, Northpoint City, JEM, Westgate). 'industrial' — B1 / B2 strata factories in the Tai Seng / Ubi / Loyang / Jurong / Tuas industrial belt. 'shophouse' — conservation shophouses (Tanjong Pagar, Telok Ayer, Joo Chiat, Arab Street, Balestier) — a distinct CCR investment class trading at significant freehold premiums. 'mixed-use' — strata mixed-use developments (DUO, Paya Lebar Quarter, integrated developments). 'warehouse' — B2 strata warehouses. Leave empty or include 'ALL' to span every category. ## `districts` (type: `array`): URA divides Singapore into 28 postal districts. The CBD — D01 (Marina/Boat Quay/Raffles Place), D02 (Tanjong Pagar/Anson), D06 (Beach Road/City Hall), D07 (Middle Road/Golden Mile) — concentrates Grade-A strata office and prime conservation shophouses. The Orchard luxury retail belt is D09 (ION Orchard, Ngee Ann City, Paragon, Liat Towers); medical-suite office is in D11 (Novena). Suburban retail centres cluster in D18 (Tampines), D19 (Sengkang/Punggol/Hougang), D22 (Jurong — JEM, Westgate, JTC Summit), D27 (Yishun). The industrial / warehouse belt is D13 (Tai Seng), D14 (Geylang/Eunos), D17 (Loyang/Changi), D22 (Jurong/Tuas), D24 (Tengah), D25 (Kranji/Woodlands). Leave empty for ALL districts; pass e.g. \['D01','D02','D06','D07'] for the CBD office market only. ## `dateRange` (type: `object`): Bound caveat lodgement / contract date. Object with 'from' and 'to' fields in YYYY-MM format (e.g. {"from": "2026-04", "to": "2026-05"} for last 30 days of caveats). URA publishes commercial caveats weekly with a 2-3 week lag from lodgement. The PMI\_Commercial\_Transaction live service exposes approximately the most recent 12 months. Leave the entire object empty (or empty strings) for no date bound. ## `min_price_sgd` (type: `integer`): Lower bound on caveat transacted price in SGD. Set to 5000000 to filter to institutional-scale deals (most Grade-A office floor sales, prime conservation shophouses, ION Orchard / Ngee Ann City strata shop units). Set to 10000000 for the ultra-prime segment (large strata-office floors, Tanjong Pagar trophy shophouses, full retail podium sales). Leave 0 for no lower bound. ## `max_price_sgd` (type: `integer`): Upper bound on caveat transacted price in SGD. Useful for sub-segment slicing — e.g. set to 2000000 to bound small-business industrial strata factory purchases, or 5000000 to exclude large CBD floors when researching the SME owner-occupier office demand. Leave 0 for no upper bound. ## `cbd_only` (type: `boolean`): Quick filter for Singapore's Central Business District: D01 Raffles Place / Marina Bay, D02 Tanjong Pagar / Anson, D06 City Hall / Beach Road, D07 Bugis / Golden Mile. These four districts capture essentially all Grade-A office strata sales, the bulk of premium retail strata, and the conservation-shophouse heartland. Standard CBRE / Knight Frank / Savills CBD office reports cover exactly this footprint. ## `shophouses_only` (type: `boolean`): Quick filter for the conservation shophouse asset class only — typically freehold or 999-year leasehold, gazetted under URA's Conservation Programme (D01 Telok Ayer / Boat Quay; D02 Tanjong Pagar / Duxton; D07 Kampong Glam / Arab Street; D14 Joo Chiat; D08 Little India; D12 Balestier). Shophouses trade as a distinct asset class with their own pricing dynamics, often hitting SGD 8-25M per unit. Useful for family offices, heritage-property funds, and boutique developers benchmarking the segment against CBRE / Knight Frank shophouse reports. ## `ura_access_key` (type: `string`): Optional URA Data Service AccessKey for live (real-time) commercial caveat 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, the actor calls URA's PMI\_Commercial\_Transaction service and returns the most recent live caveats matching your filters across all four URA batches (~12 months of data). Without an AccessKey (default) the actor returns from a packaged URA-format reference dataset covering all 28 districts and every commercial sub-segment — 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 commercial caveats returned (1-2000). Each caveat is one URA commercial transaction record. Premium per-caveat pricing applies — Singapore commercial data is the highest-value institutional CRE tier. Most recent caveats are returned first (sorted by transaction\_date descending). ## Actor input object example ```json { "propertyTypes": [ "office", "retail" ], "districts": [], "dateRange": { "from": "", "to": "" }, "min_price_sgd": 0, "max_price_sgd": 0, "cbd_only": false, "shophouses_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 = { "propertyTypes": [ "office", "retail" ], "districts": [], "dateRange": { "from": "", "to": "" }, "min_price_sgd": 0, "max_price_sgd": 0, "cbd_only": false, "shophouses_only": false, "ura_access_key": "", "limit": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/singapore-ura-commercial-property").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 = { "propertyTypes": [ "office", "retail", ], "districts": [], "dateRange": { "from": "", "to": "", }, "min_price_sgd": 0, "max_price_sgd": 0, "cbd_only": False, "shophouses_only": False, "ura_access_key": "", "limit": 10, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/singapore-ura-commercial-property").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 '{ "propertyTypes": [ "office", "retail" ], "districts": [], "dateRange": { "from": "", "to": "" }, "min_price_sgd": 0, "max_price_sgd": 0, "cbd_only": false, "shophouses_only": false, "ura_access_key": "", "limit": 10 }' | apify call nexgendata/singapore-ura-commercial-property --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/singapore-ura-commercial-property", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Singapore URA Commercial Property Caveats API", "description": "Track Singapore URA commercial-property transactions (caveats). Clean JSON for analysts, researchers and AI agents.", "version": "0.0", "x-build-id": "E4DFXecOMfoHF8Pov" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~singapore-ura-commercial-property/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-singapore-ura-commercial-property", "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~singapore-ura-commercial-property/runs": { "post": { "operationId": "runs-sync-nexgendata-singapore-ura-commercial-property", "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~singapore-ura-commercial-property/run-sync": { "post": { "operationId": "run-sync-nexgendata-singapore-ura-commercial-property", "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": { "propertyTypes": { "title": "Commercial property types", "uniqueItems": true, "type": "array", "description": "Which Singapore commercial property categories to include. 'office' — Grade-A strata office floors in Suntec, Prudential Tower, Samsung Hub, Wallich Residence Tower, Asia Square, Marina Bay Financial Centre, MBFC, plus suburban office in JTC Summit, Mapletree Business City. 'retail' — strata shop units in CCR malls (ION Orchard, Ngee Ann City, Bugis Junction, Raffles City) and suburban heartland malls (Tampines Mall, Compass One, Northpoint City, JEM, Westgate). 'industrial' — B1 / B2 strata factories in the Tai Seng / Ubi / Loyang / Jurong / Tuas industrial belt. 'shophouse' — conservation shophouses (Tanjong Pagar, Telok Ayer, Joo Chiat, Arab Street, Balestier) — a distinct CCR investment class trading at significant freehold premiums. 'mixed-use' — strata mixed-use developments (DUO, Paya Lebar Quarter, integrated developments). 'warehouse' — B2 strata warehouses. Leave empty or include 'ALL' to span every category.", "items": { "type": "string", "enum": [ "ALL", "office", "retail", "industrial", "shophouse", "mixed-use", "warehouse" ] }, "default": [ "office", "retail" ] }, "districts": { "title": "Postal districts (D01-D28)", "uniqueItems": true, "type": "array", "description": "URA divides Singapore into 28 postal districts. The CBD — D01 (Marina/Boat Quay/Raffles Place), D02 (Tanjong Pagar/Anson), D06 (Beach Road/City Hall), D07 (Middle Road/Golden Mile) — concentrates Grade-A strata office and prime conservation shophouses. The Orchard luxury retail belt is D09 (ION Orchard, Ngee Ann City, Paragon, Liat Towers); medical-suite office is in D11 (Novena). Suburban retail centres cluster in D18 (Tampines), D19 (Sengkang/Punggol/Hougang), D22 (Jurong — JEM, Westgate, JTC Summit), D27 (Yishun). The industrial / warehouse belt is D13 (Tai Seng), D14 (Geylang/Eunos), D17 (Loyang/Changi), D22 (Jurong/Tuas), D24 (Tengah), D25 (Kranji/Woodlands). Leave empty for ALL districts; pass e.g. ['D01','D02','D06','D07'] for the CBD office market only.", "items": { "type": "string" }, "default": [] }, "dateRange": { "title": "Transaction date range", "type": "object", "description": "Bound caveat lodgement / contract date. Object with 'from' and 'to' fields in YYYY-MM format (e.g. {\"from\": \"2026-04\", \"to\": \"2026-05\"} for last 30 days of caveats). URA publishes commercial caveats weekly with a 2-3 week lag from lodgement. The PMI_Commercial_Transaction live service exposes approximately the most recent 12 months. Leave the entire object empty (or empty strings) for no date bound.", "default": { "from": "", "to": "" } }, "min_price_sgd": { "title": "Minimum transacted price (SGD)", "minimum": 0, "maximum": 500000000, "type": "integer", "description": "Lower bound on caveat transacted price in SGD. Set to 5000000 to filter to institutional-scale deals (most Grade-A office floor sales, prime conservation shophouses, ION Orchard / Ngee Ann City strata shop units). Set to 10000000 for the ultra-prime segment (large strata-office floors, Tanjong Pagar trophy shophouses, full retail podium sales). Leave 0 for no lower bound.", "default": 0 }, "max_price_sgd": { "title": "Maximum transacted price (SGD)", "minimum": 0, "maximum": 1000000000, "type": "integer", "description": "Upper bound on caveat transacted price in SGD. Useful for sub-segment slicing — e.g. set to 2000000 to bound small-business industrial strata factory purchases, or 5000000 to exclude large CBD floors when researching the SME owner-occupier office demand. Leave 0 for no upper bound.", "default": 0 }, "cbd_only": { "title": "CBD only (D01 / D02 / D06 / D07)", "type": "boolean", "description": "Quick filter for Singapore's Central Business District: D01 Raffles Place / Marina Bay, D02 Tanjong Pagar / Anson, D06 City Hall / Beach Road, D07 Bugis / Golden Mile. These four districts capture essentially all Grade-A office strata sales, the bulk of premium retail strata, and the conservation-shophouse heartland. Standard CBRE / Knight Frank / Savills CBD office reports cover exactly this footprint.", "default": false }, "shophouses_only": { "title": "Conservation shophouses only", "type": "boolean", "description": "Quick filter for the conservation shophouse asset class only — typically freehold or 999-year leasehold, gazetted under URA's Conservation Programme (D01 Telok Ayer / Boat Quay; D02 Tanjong Pagar / Duxton; D07 Kampong Glam / Arab Street; D14 Joo Chiat; D08 Little India; D12 Balestier). Shophouses trade as a distinct asset class with their own pricing dynamics, often hitting SGD 8-25M per unit. Useful for family offices, heritage-property funds, and boutique developers benchmarking the segment against CBRE / Knight Frank shophouse reports.", "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) commercial caveat 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, the actor calls URA's PMI_Commercial_Transaction service and returns the most recent live caveats matching your filters across all four URA batches (~12 months of data). Without an AccessKey (default) the actor returns from a packaged URA-format reference dataset covering all 28 districts and every commercial sub-segment — useful for schema validation, smoke testing, and small recurring sample pulls. Leave empty to use the packaged dataset." }, "limit": { "title": "Max caveats returned", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on total commercial caveats returned (1-2000). Each caveat is one URA commercial transaction record. Premium per-caveat pricing applies — Singapore commercial data is the highest-value institutional CRE tier. Most recent caveats are returned first (sorted by transaction_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 } } } } } } } } } } ```