# Australian Real Estate Scraper · All Major Portals $1.50 (`memo23/au-property-multi-portal-scraper`) Actor Scrape Australian property listings across multiple portals (Domain.com.au + Ray White office subdomains) in one unified output. Auto-classifies any URL. Bundled email harvest from each office's website. Pure HTTP, no browser. REA Group properties excluded by design - **URL**: https://apify.com/memo23/au-property-multi-portal-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** Real estate, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 ## Australian Real Estate Scraper — All Major Property Portals (Residential + Commercial) Scrape **Australian residential AND commercial property from the major portals in one unified output** — Domain.com.au, commercialrealestate.com.au, Ray White, and more. Paste any supported property URL; the actor auto-detects the portal and returns rows in one consistent schema, with agent contacts (including direct mobile numbers) on every listing. ![How it works](https://raw.githubusercontent.com/muhamed-didovic/muhamed-didovic.github.io/main/assets/how-it-works-au-property-multi-portal.png) ### Why use this scraper - **One actor for Australia's major property portals** — paste any supported portal URL and it's auto-classified to the right handler. No need to run (and reconcile) separate scrapers; mix residential + commercial freely in one run, and every row comes back in the same schema. - **Residential + commercial in one place** — Domain covers homes; commercialrealestate.com.au covers offices, retail, industrial, and development sites. No other actor bundles both. - **Agent contacts with mobile numbers** — every property row carries the agency + listing agents, including direct mobile numbers where the portal exposes them. - **Location-filtered search** — paste a state/suburb URL (e.g. `/for-sale/nsw/sydney-2000/`) and the actor filters to that region automatically. - **Pure HTTP, no browser** — fast, cheap, reliable. Uses each portal's own JSON/mobile API where available. ### Overview This actor is a unified front-end over Australia's major property portals. It classifies each input URL by host + path, dispatches it to the right portal handler, and normalises the result into a common `PropertyRow`. Ideal for buyers' agents, investors, PropTech teams, and B2B lead generation across both residential and commercial markets. ### Supported portals | Portal | Coverage | What you get | |---|---|---| | **Domain.com.au** | Residential (Nine/Domain) | Listing search, property, agent + agency profiles, school catchment | | **commercialrealestate.com.au** | Commercial (Nine/Domain) | For-sale / for-lease / sold / leased, property type, land/build area, agent mobiles, EOI dates, transit, NBN — via the open mobile API | | **Ray White** offices | Residential + commercial | Office contact info + listings (per `raywhite{office}.com.au` subdomain) | | **Harcourts** | Residential | Listing search (buy / sold / rent) + individual property — address, beds/baths/car, price, agents, photos (server-rendered) | > **Paste any property URL.** Beyond the portals documented above, the classifier auto-detects additional major Australian property portals straight from the URL and routes them to the right handler — so you can throw a mixed list of AU property links at it and let the actor sort them. ### Supported inputs | Input URL shape | Example | Portal | |---|---|---| | Residential search | `domain.com.au/sale/sydney-nsw-2000` | Domain | | **Commercial search** | `commercialrealestate.com.au/for-sale/nsw/sydney-2000/` | Commercial | | **Commercial (lease/sold/leased)** | `commercialrealestate.com.au/for-lease/vic/melbourne-3000/` | Commercial | | Individual property | `commercialrealestate.com.au/property/{slug}-{id}` | Commercial | | Individual property | `domain.com.au/{slug}-{state}-{postcode}-{id}` | Domain | | Agent / agency profile | `domain.com.au/real-estate-agent/{slug}` | Domain | | Ray White office | `raywhitebondijunction.com/` | Ray White | | **Harcourts search** | `harcourts.com.au/au/listings/buy` (or `/sold` `/rent`, with filters) | Harcourts | | Harcourts property | `harcourts.com.au/au/office/{office}/listing/{id}-{slug}` | Harcourts | Mix any of these in one `startUrls` array — each is auto-classified. > **Note on scope:** `realcommercial.com.au`, `flatmates.com.au`, and `propertyvalue.com.au` are not supported. The commercialrealestate.com.au agency *directory* is not included — but agency + agent contacts are already on every property row. ### Use cases - **Buyers' agents** — monitor new residential + commercial listings by region, pull agent mobiles for off-market enquiries. - **Commercial investors** — track for-sale/for-lease/sold/leased comparables with land & build areas, EOI deadlines, yield context. - **PropTech / data teams** — feed unified AU property data (both markets) into valuation models, CRMs, dashboards. - **Lead generation** — harvest agent + agency contacts across portals in one run. ### How it works 1. You provide one or more property URLs from supported portals. 2. The actor classifies each URL (portal + listing/property/profile). 3. Search URLs fan out to individual properties (location-filtered where applicable). 4. Each property is fetched from that portal's best data source (mobile API / JSON / HTML). 5. Rows are normalised to one schema and streamed to your dataset — JSON or CSV. ### Input configuration | Field | Type | Default | Description | |---|---|---|---| | `startUrls` | array | — | Property URLs from any supported portal | | `harvestEmails` | boolean | `true` | Follow each office/agency website + harvest contact emails | | `flatten` | boolean | `true` | Flatten nested fields for CSV-friendly output | | `maxItems` | integer | `10000` | Hard cap on rows collected (shared across all input URLs) | | `maxConcurrency` | integer | `8` | Parallel detail fetches | ### Output overview **Every portal returns the same row shape.** A Domain house, a commercialrealestate.com.au office, and a Ray White listing all come back with the same top-level keys — a field a portal doesn't expose is simply `null`. A `portal` field tags the source, and portal-specific extras live under `raw.{portal}` so they never collide with the common columns. - **`flatten: true`** (default) — nested objects become underscore keys (`address_suburb`, `office_name`) and arrays of objects are JSON-stringified (`agents_json`). Best for CSV / spreadsheets. - **`flatten: false`** — keeps the full nested JSON (`address{}`, `agents[]`, `office{}`, `raw{}`). Best for code. ### Output samples **Nested (`flatten: false`):** ```json { "portal": "commercialrealestate", "sourceUrl": "https://www.commercialrealestate.com.au/property/2020871923", "listingId": "2020871923", "listingMode": "sale", "propertyType": "Hotel / Leisure", "headline": "The Sackville", "address": { "displayAddress": "599 Darling Street Rozelle NSW 2039", "suburb": "ROZELLE", "state": "NSW", "postcode": "2039", "latitude": -33.861, "longitude": 151.171 }, "priceDisplay": "Expressions of Interest", "landAreaSqm": 1391, "buildingAreaSqm": 1391, "agents": [ { "name": "John Musca", "mobile": "04xx xxx xxx", "phone": null, "agencyName": "JLL - Sydney", "profileUrl": "https://…" } ], "office": { "name": "JLL - Sydney", "phone": null, "websiteUrl": "https://…" }, "harvestedEmails": [], "scrapedAt": "2026-05-30T12:42:26.106Z", "raw": { "commercialrealestate": { "nbn_info": { "TechType": "HFC" }, "transport_stops": [ … ] } } } ```` **Flattened (`flatten: true`, default — CSV-friendly):** ```json { "portal": "commercialrealestate", "listingId": "2020871923", "listingMode": "sale", "propertyType": "Hotel / Leisure", "headline": "The Sackville", "address_displayAddress": "599 Darling Street Rozelle NSW 2039", "address_suburb": "ROZELLE", "address_state": "NSW", "priceDisplay": "Expressions of Interest", "buildingAreaSqm": 1391, "agents_json": "[{\"name\":\"John Musca\",\"mobile\":\"04xx xxx xxx\",…}]", "office_name": "JLL - Sydney", "harvestedEmails": [], "scrapedAt": "2026-05-30T12:42:26.106Z", "raw_commercialrealestate_nbn_info_TechType": "HFC" } ``` > A residential row (Domain) carries the same keys, but with `bedrooms` / `bathrooms` / `carspaces` populated and the commercial-only `landAreaSqm` / `buildingAreaSqm` left `null`. Same columns either way. ### Key output fields | Field | Description | |---|---| | `portal` | Source portal — `domain` / `commercialrealestate` / `raywhite` | | `listingId`, `canonicalUrl`, `sourceUrl` | Identity / provenance | | `listingMode` | `sale` / `rent` / `sold` / `leased` | | `propertyType`, `status` | House / Apartment / Offices / Industrial / Retail / … | | `headline`, `description` | Listing copy (`description` may be raw HTML) | | `bedrooms`, `bathrooms`, `carspaces` | Residential specs (null for most commercial) | | `landAreaSqm`, `buildingAreaSqm` | Areas (commercial) | | `address` / `address_*` | display address, suburb, state, postcode, lat/lng | | `priceDisplay` | Human price / "Contact Agent" / EOI | | `priceExact`, `priceFrom`, `priceTo`, `bondAmount`, `auctionDateTime` | Parsed price + auction/rent extras | | `agents[]` / `agents_json` | Each agent's name, **mobile**, phone, photo, profileUrl | | `office` / `office_*` | Agency name, address, phone, website | | `photos[]`, `floorplans[]`, `photosCount` | Media | | `harvestedEmails[]` | Emails harvested from the office/agency website (when enabled) | | `raw.{portal}` / `raw_{portal}_*` | Escape hatch — portal-specific fields (e.g. CRE: NBN, transit, EOI date) | | `searchContext` | Where in the fan-out the row appeared (discovery URL, page, position) | | `scrapedAt` | ISO 8601 timestamp when the row was emitted | ### FAQ **Who owns commercialrealestate.com.au?** It's owned by Nine Entertainment / Domain Holdings — the same company behind Domain.com.au. **Can I scrape residential and commercial in one run?** Yes — mix Domain URLs with commercialrealestate.com.au URLs in the same `startUrls`. Every row comes back in the same schema with a `portal` tag. **How do I filter a commercial search by location?** Paste a state/suburb URL, e.g. `commercialrealestate.com.au/for-sale/nsw/sydney-2000/`. The actor resolves the location and filters the search to that region. **Why are some emails empty?** Email harvest follows the office/agency website, which not all agencies publish. Agent **mobile numbers** are available directly on most commercial rows regardless. ### Support Found a bug or need a portal added? Open an issue on the actor's Apify Console page. ### Additional services Need a single-portal scraper instead? See the standalone actors below. ### Explore more scrapers - **[Commercialrealestate.com.au Scraper](https://apify.com/memo23/commercialrealestate-au-scraper)** — standalone AU commercial property - **[Domain.com.au Scraper](https://apify.com/memo23/domain-com-au-scraper)** — standalone residential + agents - **[Realtor.com Scraper](https://apify.com/memo23/realtor-search-cheerio)** — US residential + agents - **[LoopNet Scraper](https://apify.com/memo23/loopnet-scraper-ppe)** — US + UK commercial Full portfolio: [apify.com/memo23](https://apify.com/memo23) ### ⚠️ Disclaimer This scraper accesses only publicly available data. Use the extracted data in compliance with each portal's Terms of Use, the Australian Privacy Act 1988, the Spam Act 2003, and all applicable laws. You are responsible for how you use scraped data — particularly personal information (agent names, phone numbers). This actor is not affiliated with, endorsed by, or connected to Domain Holdings, Nine Entertainment, Ray White, or any portal listed. ### SEO Keywords australian property scraper, AU real estate scraper, domain.com.au scraper, commercialrealestate.com.au scraper, commercial property scraper australia, residential property data australia, property listings api australia, real estate agent contacts scraper, ray white scraper, multi-portal property scraper, australian commercial property data, property leads australia, agent mobile numbers scraper, for-sale for-lease scraper, AU property data extraction # Actor input Schema ## `startUrls` (type: `array`): Full URLs from supported portals. Search/listing URLs are paginated/fanned-out automatically until `Maximum items` is reached. Mix portals freely. ## `harvestEmails` (type: `boolean`): When enabled (default), each row's office `websiteUrl` is followed and any contact emails found on that site are added to `harvestedEmails`. Per-URL deduped across the run — same office website is only fetched once. Adds ~0.3-1s per unique office site. ## `flatten` (type: `boolean`): When enabled (default), nested objects (`address`, `office`, `agents`) are expanded to underscore-separated top-level keys (e.g. `address_suburb`, `office_email`). Arrays of objects are JSON-stringified into `*_json` fields. Disable to keep the full nested JSON for code post-processing. ## `maxItems` (type: `integer`): Hard cap on the number of properties collected. Domain listings paginate 20 results per page; use this cap to control billing. ## `maxConcurrency` (type: `integer`): Maximum number of detail pages processed in parallel. Higher = faster but more proxy bandwidth + higher risk of transient errors. 6-10 is the sweet spot. ## `minConcurrency` (type: `integer`): Minimum number of detail pages processed in parallel. ## `maxRequestRetries` (type: `integer`): Number of retries before a failed request is given up. Transient errors (thin or empty bodies) are auto-detected and retried; this counter covers other failures too. ## `proxy` (type: `object`): Defaults to Apify Residential with `country=AU` — the recommended pool for reliable Domain.com.au runs. Override with your own residential proxy provider if you prefer. ## Actor input object example ```json { "startUrls": [ "https://www.commercialrealestate.com.au/for-sale/nsw/sydney-2000/", "https://www.commercialrealestate.com.au/for-lease/vic/melbourne-3000/", "https://www.domain.com.au/sale/melbourne-vic-3000/?bedrooms=2-any&price=0-800000", "https://www.realestate.com.au/buy/in-sydney,+nsw/list-1", "https://raywhitebondijunction.com/", "https://www.harcourts.com.au/au/listings/buy" ], "harvestEmails": true, "flatten": true, "maxItems": 10000, "maxConcurrency": 8, "minConcurrency": 1, "maxRequestRetries": 5, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } } ``` # 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 = { "startUrls": [ "https://www.commercialrealestate.com.au/for-sale/nsw/sydney-2000/", "https://www.commercialrealestate.com.au/for-lease/vic/melbourne-3000/", "https://www.domain.com.au/sale/melbourne-vic-3000/?bedrooms=2-any&price=0-800000", "https://www.realestate.com.au/buy/in-sydney,+nsw/list-1", "https://raywhitebondijunction.com/", "https://www.harcourts.com.au/au/listings/buy" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } }; // Run the Actor and wait for it to finish const run = await client.actor("memo23/au-property-multi-portal-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 = { "startUrls": [ "https://www.commercialrealestate.com.au/for-sale/nsw/sydney-2000/", "https://www.commercialrealestate.com.au/for-lease/vic/melbourne-3000/", "https://www.domain.com.au/sale/melbourne-vic-3000/?bedrooms=2-any&price=0-800000", "https://www.realestate.com.au/buy/in-sydney,+nsw/list-1", "https://raywhitebondijunction.com/", "https://www.harcourts.com.au/au/listings/buy", ], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "AU", }, } # Run the Actor and wait for it to finish run = client.actor("memo23/au-property-multi-portal-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 '{ "startUrls": [ "https://www.commercialrealestate.com.au/for-sale/nsw/sydney-2000/", "https://www.commercialrealestate.com.au/for-lease/vic/melbourne-3000/", "https://www.domain.com.au/sale/melbourne-vic-3000/?bedrooms=2-any&price=0-800000", "https://www.realestate.com.au/buy/in-sydney,+nsw/list-1", "https://raywhitebondijunction.com/", "https://www.harcourts.com.au/au/listings/buy" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } }' | apify call memo23/au-property-multi-portal-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memo23/au-property-multi-portal-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Australian Real Estate Scraper · All Major Portals $1.50", "description": "Scrape Australian property listings across multiple portals (Domain.com.au + Ray White office subdomains) in one unified output. Auto-classifies any URL. Bundled email harvest from each office's website. Pure HTTP, no browser. REA Group properties excluded by design", "version": "0.0", "x-build-id": "Ci30qLlI5dqWVmgUS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~au-property-multi-portal-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-au-property-multi-portal-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/memo23~au-property-multi-portal-scraper/runs": { "post": { "operationId": "runs-sync-memo23-au-property-multi-portal-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/memo23~au-property-multi-portal-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-au-property-multi-portal-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": { "startUrls": { "title": "AU property portal URLs", "type": "array", "description": "Full URLs from supported portals. Search/listing URLs are paginated/fanned-out automatically until `Maximum items` is reached. Mix portals freely.", "items": { "type": "string" } }, "harvestEmails": { "title": "Harvest contact emails from each portal's office website", "type": "boolean", "description": "When enabled (default), each row's office `websiteUrl` is followed and any contact emails found on that site are added to `harvestedEmails`. Per-URL deduped across the run — same office website is only fetched once. Adds ~0.3-1s per unique office site.", "default": true }, "flatten": { "title": "Flatten nested fields for CSV-friendly output", "type": "boolean", "description": "When enabled (default), nested objects (`address`, `office`, `agents`) are expanded to underscore-separated top-level keys (e.g. `address_suburb`, `office_email`). Arrays of objects are JSON-stringified into `*_json` fields. Disable to keep the full nested JSON for code post-processing.", "default": true }, "maxItems": { "title": "Maximum items to scrape", "minimum": 1, "type": "integer", "description": "Hard cap on the number of properties collected. Domain listings paginate 20 results per page; use this cap to control billing.", "default": 10000 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "type": "integer", "description": "Maximum number of detail pages processed in parallel. Higher = faster but more proxy bandwidth + higher risk of transient errors. 6-10 is the sweet spot.", "default": 8 }, "minConcurrency": { "title": "Min concurrency", "minimum": 1, "type": "integer", "description": "Minimum number of detail pages processed in parallel.", "default": 1 }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "type": "integer", "description": "Number of retries before a failed request is given up. Transient errors (thin or empty bodies) are auto-detected and retried; this counter covers other failures too.", "default": 5 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Defaults to Apify Residential with `country=AU` — the recommended pool for reliable Domain.com.au runs. Override with your own residential proxy provider if you prefer." } } }, "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 } } } } } } } } } } ```