# Hotel Price Intelligence & Rate Parity Tracker (`botflowtech/hotel-price-intelligence`) Actor Compare hotel prices across Booking.com, Hotels.com, and Expedia in one run. Detect rate parity violations and find the best OTA deal for any hotel. - **URL**: https://apify.com/botflowtech/hotel-price-intelligence.md - **Developed by:** [BotFlowTech](https://apify.com/botflowtech) (community) - **Categories:** Travel, E-commerce - **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 ## Hotel Price Intelligence & Rate Parity Tracker > Compare hotel prices across Booking.com, Hotels.com, and Expedia in one run. Detect rate parity violations and find the best deals automatically. --- ### What it does This actor takes a list of hotel names (or a city/country) and a date range, then searches all three major Online Travel Agencies in parallel. For every hotel it produces a single comparison record containing: - The lowest price per night on each OTA - Which platform has the best deal (`bestOTA`) - The absolute price variance in your chosen currency - Whether rate parity is maintained (prices within 5% across OTAs) - Availability status, room types, cancellation policy, and breakfast flags Each record is pushed to the Apify dataset in real time as hotels are processed, so you can integrate it into monitoring dashboards, spreadsheet exports, or downstream webhooks. --- ### Use cases | Use case | Who uses it | |---|---| | **Rate parity monitoring** | Revenue managers at hotel chains checking that OTAs honor contracted rates | | **OTA competitive comparison** | Travel agencies and booking platforms benchmarking competitor pricing | | **Price trend tracking** | Running the actor on a daily schedule to build a 30-day pricing history per hotel | | **Deal-finder apps** | Consumer apps surfacing the cheapest OTA for a given hotel and date | | **Hotel competitor intelligence** | Independent hotels monitoring nearby property prices to adjust their own rates | | **Travel journalism** | Deal-hunters and travel bloggers verifying "best price guarantee" claims | --- ### Input ```json { "hotelNames": ["Marriott Times Square", "Hilton London Metropole"], "checkIn": "2025-06-15", "checkOut": "2025-06-18", "adults": 2, "rooms": 1, "currency": "USD", "platforms": ["booking", "hotels", "expedia"], "maxHotels": 50 } ```` Or use location-based bulk search instead of `hotelNames`: ```json { "searchByLocation": { "city": "Paris", "country": "FR", "stars": 4 }, "checkIn": "2025-08-01", "checkOut": "2025-08-04", "adults": 2, "rooms": 1, "currency": "EUR", "platforms": ["booking", "expedia"], "maxHotels": 100 } ``` #### Input fields | Field | Type | Default | Description | |---|---|---|---| | `hotelNames` | `string[]` | — | List of hotel names to compare. Use specific names for best matching (e.g. `"Marriott Times Square New York"`). | | `searchByLocation` | `object` | — | Alternative to `hotelNames`. Finds all hotels in a city, optionally filtered by star rating. | | `searchByLocation.city` | `string` | — | City name (e.g. `"New York"`, `"London"`) | | `searchByLocation.country` | `string` | — | Country name or ISO 2-letter code (e.g. `"US"`, `"FR"`) | | `searchByLocation.stars` | `number` | — | Optional star rating filter (1–5) | | `checkIn` | `string` | **required** | Check-in date in `YYYY-MM-DD` format | | `checkOut` | `string` | **required** | Check-out date in `YYYY-MM-DD` format | | `adults` | `integer` | `2` | Number of adult guests per room | | `rooms` | `integer` | `1` | Number of rooms | | `currency` | `string` | `"USD"` | ISO 4217 currency code for prices | | `platforms` | `string[]` | `["booking","hotels","expedia"]` | Which OTAs to query. Any subset of the three. | | `maxHotels` | `integer` | `50` | Max hotels to process (1–500) | | `proxyConfiguration` | `object` | — | Apify proxy settings. Residential proxies strongly recommended. | | `requestTimeoutSecs` | `integer` | `60` | Per-page timeout in seconds | | `maxConcurrency` | `integer` | `3` | Parallel browser sessions (1–10) | *** ### Output One dataset item per hotel. Example output for two hotels: ```json [ { "searchedName": "Marriott Times Square", "checkIn": "2025-06-15", "checkOut": "2025-06-18", "nights": 3, "adults": 2, "rooms": 1, "currency": "USD", "platforms": { "booking": { "platform": "booking", "hotelName": "New York Marriott Marquis", "normalizedName": "new york marriott marquis", "starRating": 4, "location": "Times Square, New York", "latitude": null, "longitude": null, "lowestPricePerNight": 289.00, "averagePricePerNight": 312.50, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 289.00, "totalPrice": 867.00, "cancellationPolicy": "free_cancel", "breakfastIncluded": false } ], "cancellationPolicy": "free_cancel", "breakfastIncluded": false, "available": true, "reviewScore": 8.4, "reviewCount": 12480, "directUrl": "https://www.booking.com/hotel/us/new-york-marriott-marquis.html", "currency": "USD", "scrapedAt": "2025-04-02T14:30:00.000Z", "error": null }, "hotels": { "platform": "hotels", "hotelName": "New York Marriott Marquis", "normalizedName": "new york marriott marquis", "starRating": 4, "location": "Times Square, Manhattan", "latitude": null, "longitude": null, "lowestPricePerNight": 299.00, "averagePricePerNight": 299.00, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 299.00, "totalPrice": 897.00, "cancellationPolicy": "free_cancel", "breakfastIncluded": false } ], "cancellationPolicy": "free_cancel", "breakfastIncluded": false, "available": true, "reviewScore": 8.2, "reviewCount": 10920, "directUrl": "https://www.hotels.com/ho123456/", "currency": "USD", "scrapedAt": "2025-04-02T14:30:08.000Z", "error": null }, "expedia": { "platform": "expedia", "hotelName": "New York Marriott Marquis", "normalizedName": "new york marriott marquis", "starRating": 4, "location": "Times Square, New York, NY", "latitude": null, "longitude": null, "lowestPricePerNight": 312.00, "averagePricePerNight": 312.00, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 312.00, "totalPrice": 936.00, "cancellationPolicy": "non_refundable", "breakfastIncluded": false } ], "cancellationPolicy": "non_refundable", "breakfastIncluded": false, "available": true, "reviewScore": 8.3, "reviewCount": 9870, "directUrl": "https://www.expedia.com/h1234567.Hotel-Information", "currency": "USD", "scrapedAt": "2025-04-02T14:30:18.000Z", "error": null } }, "bestPrice": 289.00, "bestOTA": "booking", "worstPrice": 312.00, "worstOTA": "expedia", "priceVariance": 23.00, "priceDifferencePercent": 7.96, "rateParity": false, "rateParityThresholdPercent": 5, "comparedAt": "2025-04-02T14:30:18.000Z", "dataQuality": "full" }, { "searchedName": "Hilton London Metropole", "checkIn": "2025-06-15", "checkOut": "2025-06-18", "nights": 3, "adults": 2, "rooms": 1, "currency": "USD", "platforms": { "booking": { "platform": "booking", "hotelName": "Hilton London Metropole", "normalizedName": "hilton london metropole", "starRating": 4, "location": "Paddington, London", "latitude": null, "longitude": null, "lowestPricePerNight": 178.00, "averagePricePerNight": 195.00, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 178.00, "totalPrice": 534.00, "cancellationPolicy": "free_cancel", "breakfastIncluded": false } ], "cancellationPolicy": "free_cancel", "breakfastIncluded": false, "available": true, "reviewScore": 7.9, "reviewCount": 8440, "directUrl": "https://www.booking.com/hotel/gb/hilton-london-metropole.html", "currency": "USD", "scrapedAt": "2025-04-02T14:31:00.000Z", "error": null }, "hotels": { "platform": "hotels", "hotelName": "Hilton London Metropole", "normalizedName": "hilton london metropole", "starRating": 4, "location": "Paddington, London", "latitude": null, "longitude": null, "lowestPricePerNight": 180.00, "averagePricePerNight": 180.00, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 180.00, "totalPrice": 540.00, "cancellationPolicy": "free_cancel", "breakfastIncluded": false } ], "cancellationPolicy": "free_cancel", "breakfastIncluded": false, "available": true, "reviewScore": 7.8, "reviewCount": 7120, "directUrl": "https://www.hotels.com/ho234567/", "currency": "USD", "scrapedAt": "2025-04-02T14:31:08.000Z", "error": null }, "expedia": { "platform": "expedia", "hotelName": "Hilton London Metropole", "normalizedName": "hilton london metropole", "starRating": 4, "location": "Paddington, London, UK", "latitude": null, "longitude": null, "lowestPricePerNight": 177.00, "averagePricePerNight": 177.00, "rooms": [ { "roomType": "Standard Room", "pricePerNight": 177.00, "totalPrice": 531.00, "cancellationPolicy": "free_cancel", "breakfastIncluded": false } ], "cancellationPolicy": "free_cancel", "breakfastIncluded": false, "available": true, "reviewScore": 7.9, "reviewCount": 6980, "directUrl": "https://www.expedia.com/h2345678.Hotel-Information", "currency": "USD", "scrapedAt": "2025-04-02T14:31:18.000Z", "error": null } }, "bestPrice": 177.00, "bestOTA": "expedia", "worstPrice": 180.00, "worstOTA": "hotels", "priceVariance": 3.00, "priceDifferencePercent": 1.69, "rateParity": true, "rateParityThresholdPercent": 5, "comparedAt": "2025-04-02T14:31:18.000Z", "dataQuality": "full" } ] ``` #### Output fields reference ##### Top-level comparison fields | Field | Type | Description | |---|---|---| | `searchedName` | `string` | The hotel name as provided in the input | | `checkIn` | `string` | Check-in date (YYYY-MM-DD) | | `checkOut` | `string` | Check-out date (YYYY-MM-DD) | | `nights` | `number` | Number of nights | | `adults` | `number` | Adults searched for | | `rooms` | `number` | Rooms searched for | | `currency` | `string` | Currency of all prices | | `platforms` | `object` | Per-platform data keyed by `booking`, `hotels`, `expedia` | | `bestPrice` | `number \| null` | Lowest price per night found across all platforms | | `bestOTA` | `string \| null` | Platform name with the lowest price | | `worstPrice` | `number \| null` | Highest price per night found | | `worstOTA` | `string \| null` | Platform name with the highest price | | `priceVariance` | `number \| null` | Absolute difference: `worstPrice - bestPrice` | | `priceDifferencePercent` | `number \| null` | Relative spread: `(worstPrice - bestPrice) / bestPrice * 100` | | `rateParity` | `boolean \| null` | `true` if all OTA prices are within 5% of each other; `false` = violation; `null` = only one platform returned data | | `rateParityThresholdPercent` | `number` | Threshold used for rate parity check (default: 5%) | | `comparedAt` | `string` | ISO 8601 timestamp of when comparison was computed | | `dataQuality` | `"full" \| "partial" \| "failed"` | `full` = all queried platforms returned prices; `partial` = some failed; `failed` = none returned data | ##### Per-platform price fields (inside `platforms.booking`, `platforms.hotels`, `platforms.expedia`) | Field | Type | Description | |---|---|---| | `platform` | `string` | Platform identifier | | `hotelName` | `string` | Hotel name as returned by the OTA | | `normalizedName` | `string` | Normalized name used for matching | | `starRating` | `number \| null` | Hotel star rating (1–5) | | `location` | `string` | Address or neighborhood string from the OTA | | `latitude` | `number \| null` | GPS latitude (when available) | | `longitude` | `number \| null` | GPS longitude (when available) | | `lowestPricePerNight` | `number \| null` | Cheapest room option per night | | `averagePricePerNight` | `number \| null` | Average across available room types | | `rooms` | `RoomOffer[]` | Array of room offers (see below) | | `cancellationPolicy` | `"free_cancel" \| "non_refundable" \| "mixed" \| "unknown"` | Overall cancellation policy | | `breakfastIncluded` | `boolean \| null` | Whether any offer includes breakfast | | `available` | `boolean` | Whether the hotel had any availability | | `reviewScore` | `number \| null` | Guest review score (OTA scale, typically 0–10) | | `reviewCount` | `number \| null` | Total number of guest reviews | | `directUrl` | `string` | Deep link to hotel page on the OTA | | `currency` | `string` | Currency of prices | | `scrapedAt` | `string` | ISO 8601 timestamp when this OTA was queried | | `error` | `string \| null` | Error message if this OTA failed for this hotel | ##### Room offer fields (inside `rooms[]`) | Field | Type | Description | |---|---|---| | `roomType` | `string` | Room category name | | `pricePerNight` | `number` | Price per night for this room type | | `totalPrice` | `number` | Total price for the full stay | | `cancellationPolicy` | `"free_cancel" \| "non_refundable" \| "unknown"` | Cancellation policy for this specific room | | `breakfastIncluded` | `boolean` | Whether breakfast is included | *** ### Rate parity explained **Rate parity** is a contractual or strategic requirement that a hotel's room prices remain consistent across all booking channels (OTAs, direct website, etc.). This actor flags a **rate parity violation** when any OTA's price differs from the cheapest platform by more than **5%** (`priceDifferencePercent > 5`). Revenue managers can run this actor daily on a schedule and filter output for `rateParity: false` to catch violations and renegotiate OTA contracts. *** ### Scheduling for price monitoring To track a hotel's price over time, schedule the actor using Apify Scheduler: 1. Go to **Schedules** in your Apify Console 2. Create a new schedule (e.g. daily at 6:00 AM UTC) 3. Attach this actor with your hotel list and target dates 4. Connect the dataset to a Google Sheet or webhook for automatic alerting Each run's output is appended to the dataset, building a historical price record. *** ### Proxy recommendations Hotel booking sites aggressively block datacenter IPs. For reliable results: - Use **Apify Residential Proxies** (`proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }`) - For high-volume runs (100+ hotels), consider country-specific residential proxies matching the target OTA's locale - Datacenter proxies may work for testing but will have higher block rates in production *** ### Pricing **$2.00 per 1,000 hotel comparisons** (PAY\_PER\_EVENT billing) | Run type | Hotels | Platforms | Cost | |---|---|---|---| | Quick check | 10 hotels | 3 platforms | $0.02 | | Daily monitoring | 500 hotels | 3 platforms | $1.00 | | Weekly agency run | 200 hotels | 3 platforms | $0.40 | A single comparison = one dataset item (one hotel × all platforms). You are not charged per platform call — only per completed hotel comparison record. *** ### Performance | Metric | Typical value | |---|---| | Time per hotel (3 platforms) | 30–60 seconds | | Concurrency (default) | 3 parallel browsers | | 50 hotels, 3 platforms | ~10–15 minutes | | 500 hotels, 3 platforms | ~90–150 minutes | Actual performance depends on OTA response times, proxy speed, and whether CAPTCHAs are encountered. *** ### Limitations - OTAs may change their HTML structure, which can require selector updates. The actor uses multiple fallback selectors per field to reduce breakage. - Geographic availability: some OTA features (currencies, deal badges) vary by region. Setting `proxyConfiguration` to match the target currency's country improves accuracy. - Dynamic pricing: OTA prices can change within seconds. Prices in the dataset reflect the moment each OTA was queried during the run. - This actor is for market research and price intelligence purposes. Review each OTA's Terms of Service before using in production. *** # Actor input Schema ## `hotelNames` (type: `array`): List of hotel names to search and compare (e.g. 'Marriott Times Square New York'). ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. ## `adults` (type: `integer`): Number of adult guests. ## `rooms` (type: `integer`): Number of rooms to book. ## `currency` (type: `string`): Currency for price display. ## `platforms` (type: `array`): Which OTA platforms to compare prices on. ## `maxHotels` (type: `integer`): Maximum number of hotels to process. ## Actor input object example ```json { "hotelNames": [ "Marriott Times Square New York", "Hilton London Metropole" ], "checkIn": "2026-05-01", "checkOut": "2026-05-03", "adults": 2, "rooms": 1, "currency": "USD", "platforms": [ "booking", "hotels", "expedia" ], "maxHotels": 50 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("botflowtech/hotel-price-intelligence").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 = {} # Run the Actor and wait for it to finish run = client.actor("botflowtech/hotel-price-intelligence").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 '{}' | apify call botflowtech/hotel-price-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=botflowtech/hotel-price-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotel Price Intelligence & Rate Parity Tracker", "description": "Compare hotel prices across Booking.com, Hotels.com, and Expedia in one run. Detect rate parity violations and find the best OTA deal for any hotel.", "version": "0.1", "x-build-id": "2qDwI1yvbqVMFNo6x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/botflowtech~hotel-price-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-botflowtech-hotel-price-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/botflowtech~hotel-price-intelligence/runs": { "post": { "operationId": "runs-sync-botflowtech-hotel-price-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/botflowtech~hotel-price-intelligence/run-sync": { "post": { "operationId": "run-sync-botflowtech-hotel-price-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "checkIn", "checkOut" ], "properties": { "hotelNames": { "title": "Hotel Names", "type": "array", "description": "List of hotel names to search and compare (e.g. 'Marriott Times Square New York').", "default": [ "Marriott Times Square New York", "Hilton London Metropole" ] }, "checkIn": { "title": "Check-In Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format.", "default": "2026-05-01" }, "checkOut": { "title": "Check-Out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format.", "default": "2026-05-03" }, "adults": { "title": "Adults", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "rooms": { "title": "Number of Rooms", "minimum": 1, "maximum": 5, "type": "integer", "description": "Number of rooms to book.", "default": 1 }, "currency": { "title": "Currency", "enum": [ "USD", "EUR", "GBP", "AUD", "CAD", "INR", "SGD", "JPY" ], "type": "string", "description": "Currency for price display.", "default": "USD" }, "platforms": { "title": "Platforms to Compare", "type": "array", "description": "Which OTA platforms to compare prices on.", "default": [ "booking", "hotels", "expedia" ] }, "maxHotels": { "title": "Max Hotels", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of hotels to process.", "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 } } } } } } } } } } ```