# 99.co Singapore Property Listings Scraper (`codingfrontend/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/codingfrontend/99-co-property-listings-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (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 detailed property listings from **99.co** — Singapore's leading property portal — including prices, locations, amenities, floor areas, agent information, and more. ### Features - 🏠 Scrape **for sale** and **for rent** listings - 📍 Search by Singapore location/district (Orchard, Tampines, Jurong East, District 10, etc.) - 🔍 Filter by price range, minimum bedrooms, and property type - 📊 Extracts rich data: price, PSF, bedrooms/bathrooms, floor area, MRT proximity, tenure, agent details - 📄 **Automatic pagination** — scrolls through multiple pages to collect the desired number of results - 🏡 Supports all property types: HDB, Condo, Landed, New Launch, Commercial ### Data Extracted Each listing includes: | Field | Description | |-------|-------------| | `title` | Property listing title | | `url` | Direct link to listing | | `listingType` | "sale" or "rent" | | `propertyType` | HDB, Condo, Landed, etc. | | `priceFormatted` | Price in SGD (e.g. "S$1,200,000") | | `pricePerSqftFormatted` | Price per sq ft | | `bedrooms` | Number of bedrooms | | `bathrooms` | Number of bathrooms | | `floorArea` | Floor area in sqft | | `address` | Full address | | `district` | Singapore district (e.g. D10) | | `nearestMrt` | Nearest MRT station | | `tenure` | Freehold / 99-year leasehold | | `builtYear` | Year built or TOP date | | `developer` | Property developer | | `furnishing` | Furnishing status | | `agentName` | Agent name | | `agencyName` | Real estate agency | | `imageUrls` | Array of property images | | `description` | Full listing description | ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `listingType` | string | `"sale"` | `"sale"` or `"rent"` | | `locations` | array | `[]` | Singapore locations to search (e.g. `["Orchard", "Tampines"]`). Empty = all listings | | `propertyTypes` | array | `[]` | Filter by type (e.g. `["HDB", "Condo"]`) | | `minPrice` | integer | - | Minimum price in SGD | | `maxPrice` | integer | - | Maximum price in SGD | | `minBedrooms` | integer | - | Minimum number of bedrooms | | `maxItems` | integer | `50` | Maximum listings to scrape (1–1000) | | `proxyConfiguration` | object | - | Proxy settings (residential SG proxy **required**) | ### Usage / Quick Start #### Proxy Requirements > ⚠️ **IMPORTANT**: 99.co uses **Cloudflare Turnstile** (CF Managed Challenge) protection. A **Singapore residential proxy** is strongly recommended for reliable results. > > Use Apify Proxy with: > ```json > { > "useApifyProxy": true, > "apifyProxyGroups": ["RESIDENTIAL"], > "apifyProxyCountry": "SG" > } > ``` #### Example Input ```json { "listingType": "sale", "locations": ["Orchard", "Tampines"], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SG" } } ```` ### Anti-Bot Protection 99.co is protected by **Cloudflare Turnstile** (CF Managed Challenge): - Pages initially show "Just a moment..." CF challenge - Standard CF JS challenges typically resolve automatically with residential proxy + real Chrome binary - CF Managed/Turnstile may require a CAPTCHA solving service for 100% reliability **Current bypass status**: This actor implements the Chrome fingerprint injection (`channel: 'chrome'`) + Singapore residential proxy approach. If the Cloudflare Turnstile challenge persists, you may need: - [2captcha Cloudflare Turnstile API](https://2captcha.com/api-docs/cloudflare-turnstile) - [Capsolver CF Challenge bypass](https://capsolver.com/cf-challenge-bypass) ### Dataset Views The dataset includes 3 pre-configured views: 1. **Listings Overview** — All key fields in a table: title, price, beds/baths, area, address, agent 2. **Price Analysis** — Price, PSF, area, district for market research 3. **Agent Directory** — Agent names, agencies, phone numbers ### Notes - Results depend on 99.co's current listings database - Price data is in Singapore Dollars (SGD) - Floor areas are in square feet (sqft) unless otherwise noted - MRT distances may not always be available for all listings # 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("codingfrontend/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("codingfrontend/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 codingfrontend/99-co-property-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/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": "nkOVsSOfLgnWiqfUS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~99-co-property-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~99-co-property-listings-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-99-co-property-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~99-co-property-listings-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-99-co-property-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```