# 99.co Singapore Property Listings Scraper (`w3crawler/99-co-property-listings-scraper`) Actor Extract detailed property listings from 99.co Singapore with comprehensive data including prices, locations, amenities, and agent information. Perfect for real estate analysis, market research, and property investment decisions. - **URL**: https://apify.com/w3crawler/99-co-property-listings-scraper.md - **Developed by:** [w3crawler](https://apify.com/w3crawler) (community) - **Categories:** Real estate, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## 99.co Singapore Property Listings Scraper Extract property listings from **99.co** — Singapore's leading property portal — covering both homes for sale and rentals. Filter by location, price range, bedroom count, and property type. Get a clean, ready-to-use dataset with prices, addresses, floor areas, agent details, and MRT proximity for any area you want to research. ### What You Can Do With This - **Find properties within your budget** — filter by price range and bedroom count across multiple neighbourhoods at once - **Research rental market rates** — compare HDB, condo, and landed property rents across different districts - **Track property price trends** — run this actor weekly and compare results over time to spot price movements - **Build a lead list of active agents** — collect agent names, agencies, and phone numbers for outreach - **Support investment analysis** — pull floor area, tenure, and price per sqft data for multiple districts in one run ### What Data You Get | Field | Description | |-------|-------------| | `title` | Property listing title (e.g. "3 BR Condo at Orchard Road") | | `url` | Direct link to the listing on 99.co | | `listingType` | Listing type: `sale` or `rent` | | `propertyType` | Property type (Condo, HDB, Landed, etc.) | | `priceFormatted` | Price as shown on the site (e.g. "S$1,450,000" or "S$4,200/mo") | | `bedrooms` | Number of bedrooms | | `bathrooms` | Number of bathrooms | | `floorArea` | Floor area in square feet | | `address` | Street address or project name | | `district` | Singapore district (e.g. "D09 – Orchard, River Valley") | | `nearestMrt` | Nearest MRT station name | | `tenure` | Tenure type (Freehold, 99-year Leasehold, etc.) | | `builtYear` | Year the property was built or completed | | `agentName` | Listing agent's name | | `agencyName` | Agent's real estate agency | | `agentPhone` | Agent contact number (when available) | | `scrapedAt` | Date and time of the scrape | #### Sample Output ```json { "title": "Spacious 3BR Condo near Botanic Gardens MRT", "url": "https://www.99.co/singapore/for-sale/property/141853", "listingType": "sale", "propertyType": "Condo", "priceFormatted": "S$2,100,000", "pricePerSqftFormatted": "S$1,897 psf", "bedrooms": 3, "bathrooms": 2, "floorArea": 1108, "address": "Sunrise Walk, Bukit Timah", "district": "D21 – Clementi Park, Upper Bukit Timah", "nearestMrt": "Botanic Gardens MRT (CC19/DT9)", "tenure": "99-year Leasehold", "builtYear": 2018, "agentName": "Sarah Tan", "agencyName": "PropNex Realty", "scrapedAt": "2025-05-19T10:00:00.000Z" } ```` ### How to Use 1. Set **Listing Type** to `sale` (properties for purchase) or `rent` (rentals) 2. Add one or more Singapore location names in **Locations** (e.g. `Tampines`, `Orchard`, `Jurong East`, `District 10`) 3. Optionally filter by **Min/Max Price** and **Min Bedrooms** 4. Click **Start** and download results as JSON, CSV, or Excel ### Input Options | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `listingType` | string | `sale` | ✓ | Type of listing: `sale` or `rent` | | `locations` | array | — | | Singapore areas or districts to search (leave empty for all of Singapore) | | `propertyTypes` | array | — | | Filter by property type (Condo, HDB, Landed, etc.) | | `minPrice` | integer | — | | Minimum price in Singapore Dollars | | `maxPrice` | integer | — | | Maximum price in Singapore Dollars | | `minBedrooms` | integer | — | | Minimum number of bedrooms | | `maxItems` | integer | `50` | | Maximum number of listings to collect | | `proxyConfiguration` | object | Apify Residential | | Proxy settings — Singapore Residential proxy recommended | ### Tips for Best Results - **Use Singapore Residential proxy** for reliable access — 99.co occasionally blocks automated requests from overseas IPs - **Add multiple locations** — the scraper processes each location separately and combines results - **Filter by price and bedrooms** — narrow your search to only get listings that match your requirements - **Schedule recurring runs** — set this actor to run daily or weekly to monitor price changes in your target areas # Actor input Schema ## `listingType` (type: `string`): Type of property listing to scrape. ## `locations` (type: `array`): List of Singapore locations/districts to search (e.g. 'Orchard', 'Tampines', 'Jurong East', 'District 10'). Leave empty to browse all listings. ## `propertyTypes` (type: `array`): Filter by property type. Leave empty for all types. ## `minPrice` (type: `integer`): Minimum property price in Singapore Dollars. ## `maxPrice` (type: `integer`): Maximum property price in Singapore Dollars. ## `minBedrooms` (type: `integer`): Minimum number of bedrooms. ## `maxItems` (type: `integer`): Maximum number of property listings to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended for reliable results. ## Actor input object example ```json { "listingType": "sale", "locations": [ "Orchard", "Tampines", "Jurong East" ], "propertyTypes": [ "HDB", "Condo", "Landed", "Commercial", "New Launch" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" } } ``` # 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 = { "listingType": "sale", "locations": [ "Orchard", "Tampines" ], "propertyTypes": [ "HDB", "Condo", "Landed" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" } }; // Run the Actor and wait for it to finish const run = await client.actor("w3crawler/99-co-property-listings-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 = { "listingType": "sale", "locations": [ "Orchard", "Tampines", ], "propertyTypes": [ "HDB", "Condo", "Landed", ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SG", }, } # Run the Actor and wait for it to finish run = client.actor("w3crawler/99-co-property-listings-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 '{ "listingType": "sale", "locations": [ "Orchard", "Tampines" ], "propertyTypes": [ "HDB", "Condo", "Landed" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" } }' | apify call w3crawler/99-co-property-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=w3crawler/99-co-property-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "99.co Singapore Property Listings Scraper", "description": "Extract detailed property listings from 99.co Singapore with comprehensive data including prices, locations, amenities, and agent information. Perfect for real estate analysis, market research, and property investment decisions.", "version": "1.0", "x-build-id": "M6YjfhEMQacxPhjlF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/w3crawler~99-co-property-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-w3crawler-99-co-property-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/w3crawler~99-co-property-listings-scraper/runs": { "post": { "operationId": "runs-sync-w3crawler-99-co-property-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/w3crawler~99-co-property-listings-scraper/run-sync": { "post": { "operationId": "run-sync-w3crawler-99-co-property-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "listingType" ], "properties": { "listingType": { "title": "Listing Type", "enum": [ "sale", "rent" ], "type": "string", "description": "Type of property listing to scrape.", "default": "sale" }, "locations": { "title": "Locations", "type": "array", "description": "List of Singapore locations/districts to search (e.g. 'Orchard', 'Tampines', 'Jurong East', 'District 10'). Leave empty to browse all listings.", "items": { "type": "string" } }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Filter by property type. Leave empty for all types.", "items": { "type": "string" } }, "minPrice": { "title": "Minimum Price (SGD)", "minimum": 0, "type": "integer", "description": "Minimum property price in Singapore Dollars." }, "maxPrice": { "title": "Maximum Price (SGD)", "minimum": 0, "type": "integer", "description": "Maximum property price in Singapore Dollars." }, "minBedrooms": { "title": "Minimum Bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of bedrooms." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of property listings to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended for reliable results." } } }, "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 } } } } } } } } } } ```