# PropertyGuru MY $1💰 Search By URLs and Keywords (`abotapi/propertyguru-my-scraper`) Actor From $1/1K. Fast, reliable scraper for propertyguru.com.my. Extract sale and rent listings with 30+ structured fields including price (MYR), built-up area, tenure, nearby transit, agent details, and GPS coordinates. - **URL**: https://apify.com/abotapi/propertyguru-my-scraper.md - **Developed by:** [AbotAPI](https://apify.com/abotapi) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## PropertyGuru Malaysia Scraper Fast, reliable scraper for [propertyguru.com.my](https://www.propertyguru.com.my) - Malaysia's largest property portal. Extract sale and rent listings with 30+ structured fields including price (MYR), built-up area, tenure, nearby transit, agent details, and GPS coordinates. ### Features - **High throughput** - 20 listings per page, ~60 listings/min with pagination - **Sale & Rent** listings with full filter support - **Property types**: Condo / Apartment, Landed (terrace houses), Commercial (shop / office / factory), Residential Land - **30+ data fields** per listing including price, PSF, features, transit distance, agent info - **Coordinate enrichment** via detail-page extraction (lat/lng) - **Robust** - handles site protection automatically - **State-aware** - dropdown for all 13 states + 3 federal territories, plus free-text fallback for towns/neighbourhoods ### Quick Start #### All properties for sale in Kuala Lumpur ```json { "mode": "search", "listing_type": "sale", "state": "kuala-lumpur", "max_pages": 5 } ```` #### Condos for rent in Mont Kiara ```json { "mode": "search", "listing_type": "rent", "property_type": "condo", "search": "Mont Kiara" } ``` #### Landed houses in Selangor under MYR 1,500,000 ```json { "mode": "search", "listing_type": "sale", "property_type": "landed", "state": "selangor", "bedrooms": 4, "max_price": 1500000 } ``` #### Commercial properties in Penang ```json { "mode": "search", "listing_type": "sale", "property_type": "commercial", "state": "penang" } ``` #### Custom URL mode ```json { "mode": "url", "urls": ["https://www.propertyguru.com.my/condo-for-sale?freetext=Bangsar&bedrooms=3"], "max_pages": 10 } ``` ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `search` | `search` (build URL from filters) or `url` (use provided URLs) | | `urls` | array | - | URLs to scrape (url mode only) | | `listing_type` | string | `sale` | `sale` or `rent` | | `property_type` | string | - | `condo`, `landed`, `commercial`, or `land` | | `state` | string | - | Malaysian state slug (see table below). Pick this OR `search`, not both. | | `search` | string | - | Free-text location (e.g. "Mont Kiara", "Bangsar", "Cyberjaya") | | `min_price` | integer | - | Minimum price in MYR | | `max_price` | integer | - | Maximum price in MYR | | `bedrooms` | integer | - | Number of bedrooms (0=Studio) | | `sort` | string | `date` | Sort by `date`, `price`, or `psf` | | `sort_order` | string | `desc` | `asc` or `desc` | | `max_properties` | integer | `10` | Max properties to scrape (0=unlimited) | | `max_pages` | integer | `20` | Max search result pages (20 listings/page) | | `enable_detail_pages` | boolean | `true` | Fetch detail pages for richer fields (coords, description, facilities, schools) | | `proxy` | object | Apify Residential MY | Proxy configuration | > **Note**: `state` and `search` are mutually exclusive. If both are set, `search` wins. `property_type` filters via URL path; all other filters go in the query string and can be freely combined. ### Malaysian States & Federal Territories | Slug | Name | Slug | Name | |------|------|------|------| | `kuala-lumpur` | Kuala Lumpur (FT) | `terengganu` | Terengganu | | `selangor` | Selangor | `kelantan` | Kelantan | | `penang` | Penang (Pulau Pinang) | `perlis` | Perlis | | `johor` | Johor | `melaka` | Melaka (Malacca) | | `perak` | Perak | `sabah` | Sabah | | `kedah` | Kedah | `sarawak` | Sarawak | | `pahang` | Pahang | `putrajaya` | Putrajaya (FT) | | `negeri-sembilan` | Negeri Sembilan | `labuan` | Labuan (FT) | ### Output Fields Each listing record contains 30+ fields: | Category | Fields | |----------|--------| | **Identity** | `id`, `title`, `address`, `url`, `status` | | **Price** | `price`, `price_formatted`, `currency` (MYR), `price_psf` | | **Features** | `bedrooms`, `bathrooms`, `floor_area`, `land_area`, `tenure` | | **Property** | `property_type`, `property_type_group`, `badges` | | **Location** | `state`, `region`, `city`, `nearby_mrt` | | **Coordinates** | `latitude`, `longitude`, `location_source` | | **Agent** | `agent_name`, `agent_id`, `agent_license`, `agency_name` | | **Developer** | `developer`, `is_developer_listing` | | **Media** | `images[]`, `image_count` | | **Dates** | `posted_date`, `posted_unix`, `recency` | Detail-page enrichment (when `enable_detail_pages=true`) adds: `description`, `headline`, `latitude`/`longitude`, `project_name`, `total_units`, `tenure_detail`, `furnishing`, `floor_plans[]`, `virtual_tour_url`, `nearby_schools[]`, `agent_mobile`, `reference_number`, and more. # Actor input Schema ## `mode` (type: `string`): Search mode = build URLs from state/search/filters below. URL mode = paste any propertyguru.com.my search URL already refined in a browser (recommended for complex filters). ## `urls` (type: `array`): URLs to scrape. Provide propertyguru.com.my search or listing URLs. Tip: open propertyguru.com.my in your browser, apply filters, then paste the resulting URL here. In URL mode, all the filter fields below are ignored. ## `listing_type` (type: `string`): Type of listing to search for. Search mode only. ## `property_type` (type: `string`): Filter by property type. 'condo' covers condominiums and apartments; 'landed' narrows to terrace houses (the most common landed sub-type; for bungalow/semi-D/cluster use a free-text location instead); 'commercial' covers shop/office/factory; 'land' covers residential land plots. ## `state` (type: `string`): Malaysian state or federal territory. Pick this OR the free-text location, not both. Use 'Kuala Lumpur' for KL, 'Selangor' for the surrounding state. ## `search` (type: `string`): Free-text location search (e.g. 'Mont Kiara', 'Bangsar', 'Cyberjaya', 'Bukit Bintang', 'Iskandar Puteri'). Use this OR the state dropdown, not both. ## `min_price` (type: `integer`): Minimum price in Malaysian Ringgit ## `max_price` (type: `integer`): Maximum price in Malaysian Ringgit ## `bedrooms` (type: `integer`): Number of bedrooms (0=Studio) ## `sort` (type: `string`): Sort results by date (newest), price, or price per sqft ## `sort_order` (type: `string`): Sort direction ## `enable_detail_pages` (type: `boolean`): Fetch each listing's detail page for richer attributes: latitude/longitude, full description, project name, total units, facilities, floor plans, and nearby schools. Recommended. Applies regardless of search mode (Search or URL). ## `max_properties` (type: `integer`): Maximum number of properties to scrape (0=unlimited) ## `max_pages` (type: `integer`): Maximum number of search result pages to scrape (20 listings per page) ## `proxy` (type: `object`): Apify Residential in Malaysia is required - PropertyGuru is geo-restricted to MY IPs. IP rotation is handled automatically. Free-tier accounts automatically use a more conservative path that disables detail-page enrichment for reliability; paid plans get the full feature set. ## `detail_concurrency` (type: `integer`): Number of parallel detail-page fetches. Higher values are faster but may trigger rate limiting; 1-3 is recommended. ## `session_ttl_seconds` (type: `integer`): How often the scraper refreshes its connection state. Lower values are more conservative but slightly slower; higher values run faster at slight risk of a mid-run block. The default of 10 minutes comfortably covers typical runs. ## `reuse_project_cache` (type: `boolean`): When enabled, the scraper caches project-level fields (project\_name, total\_units, facilities, nearby\_schools, coordinates, developer, tenure) from the first listing in each condo project, and reuses them on subsequent listings in the same project - skipping the detail-page fetch entirely. Dramatically reduces cost on condo-heavy runs at the expense of per-listing fields (description, floor plans, unit number). Disable to fetch every listing's detail page. ## `dataset_name` (type: `string`): Custom dataset name (leave empty for default) ## `clear_dataset` (type: `boolean`): Clear the dataset before scraping ## Actor input object example ```json { "mode": "search", "urls": [ "https://www.propertyguru.com.my/property-for-sale?freetext=Kuala+Lumpur" ], "listing_type": "sale", "sort": "date", "sort_order": "desc", "enable_detail_pages": true, "max_properties": 10, "max_pages": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" }, "detail_concurrency": 1, "session_ttl_seconds": 600, "reuse_project_cache": true, "clear_dataset": false } ``` # Actor output Schema ## `listings` (type: `string`): Individual property listing records with price, features, location, and agent data. ## `metadata` (type: `string`): Scraping run metadata including timing, counts, coordinate enrichment stats, and configuration. # 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 = { "urls": [ "https://www.propertyguru.com.my/property-for-sale?freetext=Kuala+Lumpur" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/propertyguru-my-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 = { "urls": ["https://www.propertyguru.com.my/property-for-sale?freetext=Kuala+Lumpur"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "MY", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/propertyguru-my-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 '{ "urls": [ "https://www.propertyguru.com.my/property-for-sale?freetext=Kuala+Lumpur" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } }' | apify call abotapi/propertyguru-my-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/propertyguru-my-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PropertyGuru MY $1💰 Search By URLs and Keywords", "description": "From $1/1K. Fast, reliable scraper for propertyguru.com.my. Extract sale and rent listings with 30+ structured fields including price (MYR), built-up area, tenure, nearby transit, agent details, and GPS coordinates.", "version": "0.5", "x-build-id": "QVM4SgQhslg8GSfyE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~propertyguru-my-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-propertyguru-my-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/abotapi~propertyguru-my-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-propertyguru-my-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/abotapi~propertyguru-my-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-propertyguru-my-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": { "mode": { "title": "1. Search mode", "enum": [ "search", "url" ], "type": "string", "description": "Search mode = build URLs from state/search/filters below. URL mode = paste any propertyguru.com.my search URL already refined in a browser (recommended for complex filters).", "default": "search" }, "urls": { "title": "Search URLs (URL mode)", "type": "array", "description": "URLs to scrape. Provide propertyguru.com.my search or listing URLs. Tip: open propertyguru.com.my in your browser, apply filters, then paste the resulting URL here. In URL mode, all the filter fields below are ignored.", "items": { "type": "string" } }, "listing_type": { "title": "Listing Type (Search mode)", "enum": [ "sale", "rent" ], "type": "string", "description": "Type of listing to search for. Search mode only.", "default": "sale" }, "property_type": { "title": "Property Type", "enum": [ "condo", "landed", "commercial", "land" ], "type": "string", "description": "Filter by property type. 'condo' covers condominiums and apartments; 'landed' narrows to terrace houses (the most common landed sub-type; for bungalow/semi-D/cluster use a free-text location instead); 'commercial' covers shop/office/factory; 'land' covers residential land plots." }, "state": { "title": "State / Federal Territory", "enum": [ "kuala-lumpur", "selangor", "penang", "johor", "perak", "kedah", "pahang", "negeri-sembilan", "terengganu", "kelantan", "perlis", "melaka", "sabah", "sarawak", "putrajaya", "labuan" ], "type": "string", "description": "Malaysian state or federal territory. Pick this OR the free-text location, not both. Use 'Kuala Lumpur' for KL, 'Selangor' for the surrounding state." }, "search": { "title": "Free-text Location", "type": "string", "description": "Free-text location search (e.g. 'Mont Kiara', 'Bangsar', 'Cyberjaya', 'Bukit Bintang', 'Iskandar Puteri'). Use this OR the state dropdown, not both." }, "min_price": { "title": "Min Price (MYR)", "type": "integer", "description": "Minimum price in Malaysian Ringgit" }, "max_price": { "title": "Max Price (MYR)", "type": "integer", "description": "Maximum price in Malaysian Ringgit" }, "bedrooms": { "title": "Bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of bedrooms (0=Studio)" }, "sort": { "title": "Sort By", "enum": [ "date", "price", "psf" ], "type": "string", "description": "Sort results by date (newest), price, or price per sqft", "default": "date" }, "sort_order": { "title": "Sort Order", "enum": [ "asc", "desc" ], "type": "string", "description": "Sort direction", "default": "desc" }, "enable_detail_pages": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Fetch each listing's detail page for richer attributes: latitude/longitude, full description, project name, total units, facilities, floor plans, and nearby schools. Recommended. Applies regardless of search mode (Search or URL).", "default": true }, "max_properties": { "title": "Max Properties", "minimum": 0, "type": "integer", "description": "Maximum number of properties to scrape (0=unlimited)", "default": 10 }, "max_pages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum number of search result pages to scrape (20 listings per page)", "default": 20 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Apify Residential in Malaysia is required - PropertyGuru is geo-restricted to MY IPs. IP rotation is handled automatically. Free-tier accounts automatically use a more conservative path that disables detail-page enrichment for reliability; paid plans get the full feature set.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } }, "detail_concurrency": { "title": "Detail Page Concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Number of parallel detail-page fetches. Higher values are faster but may trigger rate limiting; 1-3 is recommended.", "default": 1 }, "session_ttl_seconds": { "title": "Session TTL (seconds)", "minimum": 120, "maximum": 1800, "type": "integer", "description": "How often the scraper refreshes its connection state. Lower values are more conservative but slightly slower; higher values run faster at slight risk of a mid-run block. The default of 10 minutes comfortably covers typical runs.", "default": 600 }, "reuse_project_cache": { "title": "Reuse Project Cache", "type": "boolean", "description": "When enabled, the scraper caches project-level fields (project_name, total_units, facilities, nearby_schools, coordinates, developer, tenure) from the first listing in each condo project, and reuses them on subsequent listings in the same project - skipping the detail-page fetch entirely. Dramatically reduces cost on condo-heavy runs at the expense of per-listing fields (description, floor plans, unit number). Disable to fetch every listing's detail page.", "default": true }, "dataset_name": { "title": "Dataset Name", "type": "string", "description": "Custom dataset name (leave empty for default)" }, "clear_dataset": { "title": "Clear Dataset", "type": "boolean", "description": "Clear the dataset before scraping", "default": false } } }, "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 } } } } } } } } } } ```