# PropertyGuru SG $0.8💰 Search By URLs and Keywords (`abotapi/propertyguru-sg-scraper`) Actor From $0.8/1K. Fast, reliable scraper for propertyguru.com.sg. Extract sale and rent listings with 30+ structured fields, including price, PSF, floor area, tenure, nearby MRT, agent details, and GPS - **URL**: https://apify.com/abotapi/propertyguru-sg-scraper.md - **Developed by:** [AbotAPI](https://apify.com/abotapi) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 52 total users, 16 monthly users, 98.2% runs succeeded, 0 bookmarks - **User rating**: 2.67 out of 5 stars ## Pricing from $0.80 / 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 Singapore Scraper Fast, reliable scraper for [propertyguru.com.sg](https://www.propertyguru.com.sg) - Singapore's largest property portal with 55,000+ active listings. Extract sale and rent listings with 30+ structured fields including price, PSF, floor area, tenure, nearby MRT, 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, HDB, Landed House - **30+ data fields** per listing including price, PSF, features, MRT distance, agent info - **Coordinate enrichment** via PropertyGuru Map Cluster API (lat/lng) - **Robust** - handles site protection automatically - **Cost-efficient** - works with datacenter proxy ### Quick Start #### All properties for sale ```json { "mode": "search", "listing_type": "sale", "max_pages": 5 } ```` #### Condos for rent by location ```json { "mode": "search", "listing_type": "rent", "property_type": "condo", "search": "Orchard" } ``` #### HDB flats with price filter ```json { "mode": "search", "listing_type": "sale", "property_type": "hdb", "bedrooms": 3, "max_price": 500000 } ``` #### Landed houses by district ```json { "mode": "search", "listing_type": "sale", "property_type": "landed", "district": "D10" } ``` #### Custom URL mode ```json { "mode": "url", "urls": ["https://www.propertyguru.com.sg/condo-for-sale?bedrooms=2&district_code=D09"], "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`, `hdb`, or `landed` | | `search` | string | - | Free-text location search (e.g. "Orchard", "Tampines") | | `district` | string | - | District code D01-D28 (see table below) | | `min_price` | integer | - | Minimum price in SGD | | `max_price` | integer | - | Maximum price in SGD | | `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 | `100` | Max properties to scrape (0=unlimited) | | `max_pages` | integer | `5` | Max search result pages (20 listings/page) | | `enable_coordinates` | boolean | `false` | Add lat/lng to listings via Map API. Slows down the run (~30-60s extra). | | `proxy` | object | Apify datacenter | Proxy configuration | > **Note**: `search` and `district` can be used together, but `search` takes priority in URL construction. `property_type` filters via URL slug; all other filters are query parameters and can be freely combined. ### Singapore Districts | Code | Area | Code | Area | |------|------|------|------| | D01 | Raffles Place / Marina | D15 | East Coast / Marine Parade | | D02 | Chinatown / Tanjong Pagar | D16 | Bedok / Upper East Coast | | D03 | Alexandra / Commonwealth | D17 | Changi Airport / Changi Village | | D04 | Harbourfront / Telok Blangah | D18 | Pasir Ris / Tampines | | D05 | Buona Vista / West Coast | D19 | Hougang / Punggol / Sengkang | | D06 | City Hall / Clarke Quay | D20 | Ang Mo Kio / Bishan / Thomson | | D07 | Beach Road / Bugis | D21 | Clementi Park / Upper Bukit Timah | | D08 | Farrer Park / Serangoon Rd | D22 | Boon Lay / Jurong / Tuas | | D09 | Orchard / River Valley | D23 | Bukit Batok / Bukit Panjang | | D10 | Tanglin / Holland / Bukit Timah | D24 | Lim Chu Kang / Tengah | | D11 | Newton / Novena | D25 | Admiralty / Woodlands | | D12 | Balestier / Toa Payoh | D26 | Mandai / Upper Thomson | | D13 | Macpherson / Potong Pasir | D27 | Sembawang / Yishun | | D14 | Eunos / Geylang / Paya Lebar | D28 | Seletar / Yio Chu Kang | ### Send results into your apps (MCP connectors) Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step **after** the scrape — the Apify dataset is never changed. **What gets written to the connector:** a condensed, human-readable **summary** of each record — not the full JSON. Each item becomes one entry with a **title** and its key fields flattened to plain text. The **complete record always stays in the Apify dataset**. 1. Authorize a connector once under **Apify → Settings → Integrations** (Notion, Linear, Airtable, or Apify). 2. Select it in the **"Pipe results into your apps"** input field. (If the picker is empty, you haven't authorized a connector yet.) 3. For **Notion**, also set `notionParentPageUrl` to the page where items should be created. The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip. ### Output Fields Each listing record contains 30+ fields: | Category | Fields | |----------|--------| | **Identity** | `id`, `title`, `address`, `url`, `status` | | **Price** | `price`, `price_formatted`, `currency`, `price_psf`, `price_label` | | **Features** | `bedrooms`, `bathrooms`, `floor_area`, `land_area`, `tenure` | | **Property** | `property_type`, `property_type_group`, `badges` | | **Location** | `district`, `district_code`, `region`, `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` | `price_label` is the asking-price positioning label PropertyGuru shows beside the price (e.g. `Starting From`, `Negotiable`, `View to Offer`). It is read from the listing detail page, so it is only populated when detail enrichment is enabled. The field is always present on every record and is `null` when the listing carries no such label (or when detail enrichment is disabled). # Actor input Schema ## `mode` (type: `string`): Search mode = build URLs from district/search/filters below. URL mode = paste any propertyguru.com.sg search URL already refined in a browser (recommended for complex filters). ## `urls` (type: `array`): URLs to scrape. Provide propertyguru.com.sg search or listing URLs. Tip: open propertyguru.com.sg 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. Note: commercial properties are on commercialguru.com.sg, not supported here. ## `search` (type: `string`): Free-text location search (e.g. 'Orchard', 'Jurong', 'Tampines', 'Sentosa Cove'). Use this OR district code, not both. ## `district` (type: `string`): Singapore district code (D01-D28). E.g. D09=Orchard, D10=Bukit Timah, D15=East Coast. Use this OR freetext search, not both. ## `min_price` (type: `integer`): Minimum price in Singapore Dollars ## `max_price` (type: `integer`): Maximum price in Singapore Dollars ## `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, TOP year, total units, facilities, floor plans, nearby schools, and virtual tours. 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 Singapore is required - PropertyGuru is geo-restricted to SG 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, TOP year, 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 ## `mcpConnectors` (type: `array`): Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify → Settings → Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON — the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com). ## `notionParentPageUrl` (type: `string`): URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "urls": [ "https://www.propertyguru.com.sg/property-for-sale?market=residential&property_type=N" ], "listing_type": "sale", "sort": "date", "sort_order": "desc", "enable_detail_pages": true, "max_properties": 10, "max_pages": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" }, "detail_concurrency": 1, "session_ttl_seconds": 600, "reuse_project_cache": true, "clear_dataset": false, "maxNotifyListings": 50 } ``` # 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.sg/property-for-sale?market=residential&property_type=N" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/propertyguru-sg-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.sg/property-for-sale?market=residential&property_type=N"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SG", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/propertyguru-sg-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.sg/property-for-sale?market=residential&property_type=N" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" } }' | apify call abotapi/propertyguru-sg-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/propertyguru-sg-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PropertyGuru SG $0.8💰 Search By URLs and Keywords", "description": "From $0.8/1K. Fast, reliable scraper for propertyguru.com.sg. Extract sale and rent listings with 30+ structured fields, including price, PSF, floor area, tenure, nearby MRT, agent details, and GPS", "version": "0.3", "x-build-id": "iKITBh0wAPWtPHVXW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~propertyguru-sg-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-propertyguru-sg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-sg-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-propertyguru-sg-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-sg-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-propertyguru-sg-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 district/search/filters below. URL mode = paste any propertyguru.com.sg 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.sg search or listing URLs. Tip: open propertyguru.com.sg 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", "hdb", "landed" ], "type": "string", "description": "Filter by property type. Note: commercial properties are on commercialguru.com.sg, not supported here." }, "search": { "title": "Location Search", "type": "string", "description": "Free-text location search (e.g. 'Orchard', 'Jurong', 'Tampines', 'Sentosa Cove'). Use this OR district code, not both." }, "district": { "title": "District Code", "type": "string", "description": "Singapore district code (D01-D28). E.g. D09=Orchard, D10=Bukit Timah, D15=East Coast. Use this OR freetext search, not both." }, "min_price": { "title": "Min Price (SGD)", "type": "integer", "description": "Minimum price in Singapore Dollars" }, "max_price": { "title": "Max Price (SGD)", "type": "integer", "description": "Maximum price in Singapore Dollars" }, "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, TOP year, total units, facilities, floor plans, nearby schools, and virtual tours. 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 Singapore is required - PropertyGuru is geo-restricted to SG 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": "SG" } }, "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, TOP year, 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 }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify → Settings → Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON — the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "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 } } } } } } } } } } ```