# TripAdvisor Hotels, Restaurants & Cruises Scraper (`jdtpnjtp/tripadvisor`) Actor Scrape TripAdvisor hotels, restaurants, things to do, vacation rentals AND cruises for any city in one run. 5 verticals, full filters, optional detail enrichment. Pay only per result - no subscription. - **URL**: https://apify.com/jdtpnjtp/tripadvisor.md - **Developed by:** [Data Forge](https://apify.com/jdtpnjtp) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 place 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 ## TripAdvisor Hotels, Restaurants & Cruises Scraper **Scrape every TripAdvisor vertical for a destination in a single run - hotels, restaurants, things to do, vacation rentals, and the one nobody else covers: cruises.** Type a city, tick what you want, and export clean, structured rows. No login, no subscription, pay only per result. --- ### What this actor does Give it a destination (`Paris`, a geoId, a slug, or a TripAdvisor URL) and it pulls up to **five place types** in one run: - 🏨 **Hotels** - name, rating, review count, address, price, photo, accommodation type - 🍽 **Restaurants** - name, rating, cuisines, price band, address (opening hours, delivery/reservation flags in the `data` payload) - 🎡 **Things to do (attractions)** - name, rating, category, address, photos - 🏠 **Vacation rentals** - apartment-style stays surfaced through TripAdvisor's Hotels API - 🚢 **Cruises** - ship, cruise line, sailing date, departure port, nights, fare, plus full ship detail (capacity, crew, year built, itineraries) on demand - **a vertical no other TripAdvisor scraper on Apify Store covers** Flip on **Also fetch full detail** and every hotel / restaurant / attraction result is enriched with its full detail page (amenities, hours, room/menu info, longer description, more photos) - and every cruise gets its ship detail (capacity, crew, year built, itineraries). Already have specific pages? Paste them into **Start URLs** - any hotel, restaurant, attraction, listing, search, or destination URL is auto-detected and parsed directly, alongside (or instead of) a destination search. ### Input | Field | What it does | |---|---| | **Destination** | City / region name, geoId, slug, or TripAdvisor URL. Optional if you use Start URLs. | | **Start URLs** | Paste specific TripAdvisor URLs to parse directly. | | **Place types** | Multi-select: hotels, restaurants, things to do, cruises, vacation rentals (default: all). | | **Max results per type** | Cap per vertical. The actor paginates TripAdvisor (30/page) to reach it. | | **Also fetch full detail** | Enrich every result with its full detail page - hotels / restaurants / attractions and cruise ships (capacity, crew, itineraries). Extra charge per detail. | | **Currency** | 12 presets + any 3-letter ISO code. | | **Hotel filters** | Check-in/out dates, adults, rooms, min rating, star class, style, sort. | | **Restaurant filters** | Price band, meal type, dietary, cuisines, min rating, sort. | | **Cruise filters** | Destination + cruise line (adaptive: name / id / URL). | All friendly-label filters (star class, style, price band, meal type, dietary) map to TripAdvisor's internal tag IDs for you - pick **Luxury** or **5 Star**, no IDs to look up. ### Output One flat row per result, discriminated by `place_type`, with the full payload under `data`. The dataset ships with **five ready-made table tabs** - **Overview**, **Hotels**, **Restaurants**, **Things to do**, and **Cruises** - so each vertical reads as a clean spreadsheet you can sort, filter and export to CSV/Excel/JSON in one click. Common columns: `name`, `rating`, `review_count`, `price`, `category`, `address`, `url`, `location_id`, `photo_url` (plus `ship_name`, `cruise_line`, `sailing_date`, `departure_port`, `nights` for cruises). Error rows carry an `error_code` and are free - you only pay for real results. A run-summary record (`OUTPUT` key) reports per-vertical counts and the estimated cost. Live per-event pricing is shown on this actor's Apify Store page. ### Why this actor - **5 verticals in one run** - most scrapers do hotels OR restaurants. This does all of them, plus cruises. - **Cruises** - ships, sailings, lines, fares. Nobody else on Apify Store has it. - **Every filter, friendly labels** - star class, style, cuisine, price, dietary, meal type, dates. No internal IDs to look up. - **Search or URLs** - search a whole city, or paste exact pages. Both in one actor. - **Clean per-vertical tabs** - export-ready tables, not a wall of mixed columns. - **You only pay for results** - errors and your own misconfigurations are never charged. ### More TripAdvisor tools Part of the USP Ultimate TripAdvisor suite - pick the actor that fits the job: - **[TripAdvisor Reviews Scraper](https://apify.com/jdtpnjtp/tripadvisor-reviews-bulk)** - bulk-pull every review from a list of hotels, restaurants or attractions. - **[TripAdvisor URL Parser](https://apify.com/jdtpnjtp/tripadvisor-url-parser)** - paste any TripAdvisor URLs and get the parsed payload per URL, with optional review fan-out. Prefer the raw API across all 21 TripAdvisor endpoints (reviews, Q&A, photos, OTA prices, awards, and more) with your own key? See the USP Ultimate TripAdvisor API on RapidAPI. ### Need help? Enterprise plans? Custom scraping? I personally support every customer - drop a message on any channel. [![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/j4dtpnj2tp) [![WhatsApp](https://img.shields.io/badge/WhatsApp-25D366?style=for-the-badge&logo=whatsapp&logoColor=white)](https://wa.me/380686031542) [![Email](https://img.shields.io/badge/Email-D14836?style=for-the-badge&logo=gmail&logoColor=white)](mailto:jdtpnjtp@gmail.com) # Actor input Schema ## `locationQuery` (type: `string`): Search an entire destination. Accepts a **city/region name** (`Paris`), a **TripAdvisor geoId** (`187147`), a **slug** (`paris-france`) or a full **TripAdvisor URL** - the actor resolves it automatically. Optional if you provide Start URLs below. ## `startUrls` (type: `array`): Paste specific TripAdvisor URLs to scrape directly - a hotel / restaurant / attraction page, a listing or search page, or a Tourism destination page. Each URL is auto-detected and parsed into its own row, independent of the place types below. Mix freely with (or use instead of) a Destination. ## `placeTypes` (type: `array`): Which TripAdvisor verticals to pull for the Destination. Defaults to all five. Each selected type is searched independently up to the result cap below. Ignored for Start URLs. ## `maxResultsPerType` (type: `integer`): Upper bound on search results pulled for EACH selected place type. 20 = quick sample, 100 = solid dataset. The actor paginates TripAdvisor (30/page) under the hood to reach this number. ## `includeDetails` (type: `boolean`): When on, every hotel / restaurant / attraction / vacation-rental search result is enriched with a second call that pulls its full detail page (amenities, hours, menu/room info, longer description, more photos). **This roughly doubles the per-result cost** (a `place-detail` event is charged on top of the search-result event). Not applied to cruises. Leave off for a fast, cheap listing-only run. ## `currency` (type: `string`): Currency for hotel prices. Pick from the list or type any 3-letter ISO 4217 code. ## `hotelCheckIn` (type: `string`): Optional. When both check-in and check-out are set, hotel results carry real dated nightly prices. Format `YYYY-MM-DD` or relative like `3 days`, `1 week`. ## `hotelCheckOut` (type: `string`): Optional. Pair with check-in for dated prices. Format `YYYY-MM-DD` or relative like `5 days`. ## `hotelAdults` (type: `integer`): Guests per room, used for dated pricing. ## `hotelRooms` (type: `integer`): Number of rooms, used for dated pricing. ## `hotelMinRating` (type: `string`): Keep only hotels at or above this bubble rating. ## `hotelClasses` (type: `array`): Hotel star class (the official 1-5 star category). Multi-select. ## `hotelStyles` (type: `array`): Style / vibe filter. Multi-select. ## `hotelSort` (type: `string`): Order of hotel search results. ## `restaurantPrice` (type: `array`): Restaurant price band. Multi-select. ## `restaurantMealTypes` (type: `array`): When the restaurant serves. Multi-select. ## `restaurantDietary` (type: `array`): Dietary restrictions catered for. Multi-select. ## `restaurantCuisines` (type: `array`): Filter restaurants by cuisine. Multi-select - pick by name, no IDs to look up. Leave empty for all cuisines. ## `restaurantRatingMin` (type: `string`): Keep only restaurants at or above this bubble rating. ## `restaurantSort` (type: `string`): Order of restaurant search results. ## `cruiseDestination` (type: `string`): Cruise region - e.g. Caribbean, Mediterranean, Alaska, Bahamas. Type a name or paste a TripAdvisor cruise destination URL. At least one of cruise destination or cruise line is required when 'Cruises' is selected. ## `cruiseLine` (type: `string`): Cruise line - e.g. Royal Caribbean, MSC, Carnival, Norwegian, Disney. Type a name or paste a TripAdvisor cruise line URL. ## `stopOnError` (type: `boolean`): If on, the run aborts as soon as one place type fails (e.g. UPSTREAM_BLOCKED). If off (default), the failing vertical is logged with a diagnostic row and the run continues with the others. ## Actor input object example ```json { "locationQuery": "Paris", "startUrls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_New_York-New_York_City_New_York.html" ], "placeTypes": [ "hotels", "restaurants", "things_to_do" ], "maxResultsPerType": 20, "includeDetails": false, "currency": "USD", "hotelAdults": 2, "hotelRooms": 1, "hotelMinRating": "", "hotelClasses": [], "hotelStyles": [], "hotelSort": "BEST_VALUE", "restaurantPrice": [], "restaurantMealTypes": [], "restaurantDietary": [], "restaurantCuisines": [], "restaurantRatingMin": "", "restaurantSort": "FEATURED", "cruiseDestination": "", "cruiseLine": "", "stopOnError": false } ```` # Actor output Schema ## `dataset` (type: `string`): The default dataset. Each row carries one hotel / restaurant / attraction / vacation-rental / cruise result, discriminated by place\_type, with common fields flattened to top-level columns and the full payload under `data`. Use the Overview / Hotels / Restaurants / Things to do / Cruises tabs to view per-vertical tables. ## `summary` (type: `string`): A single JSON object written to the default key-value store under the OUTPUT key. Contains per-vertical result/detail counts, total results, errors, estimated\_cost\_usd, limit\_reached, and actor\_version. # 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 = { "locationQuery": "Paris", "startUrls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_New_York-New_York_City_New_York.html" ], "placeTypes": [ "hotels", "restaurants", "things_to_do" ], "maxResultsPerType": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("jdtpnjtp/tripadvisor").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 = { "locationQuery": "Paris", "startUrls": ["https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_New_York-New_York_City_New_York.html"], "placeTypes": [ "hotels", "restaurants", "things_to_do", ], "maxResultsPerType": 20, } # Run the Actor and wait for it to finish run = client.actor("jdtpnjtp/tripadvisor").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 '{ "locationQuery": "Paris", "startUrls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_New_York-New_York_City_New_York.html" ], "placeTypes": [ "hotels", "restaurants", "things_to_do" ], "maxResultsPerType": 20 }' | apify call jdtpnjtp/tripadvisor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jdtpnjtp/tripadvisor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TripAdvisor Hotels, Restaurants & Cruises Scraper", "description": "Scrape TripAdvisor hotels, restaurants, things to do, vacation rentals AND cruises for any city in one run. 5 verticals, full filters, optional detail enrichment. Pay only per result - no subscription.", "version": "1.0", "x-build-id": "IJ6TxFmbS5OhsWGua" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jdtpnjtp~tripadvisor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jdtpnjtp-tripadvisor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jdtpnjtp~tripadvisor/runs": { "post": { "operationId": "runs-sync-jdtpnjtp-tripadvisor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jdtpnjtp~tripadvisor/run-sync": { "post": { "operationId": "run-sync-jdtpnjtp-tripadvisor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "locationQuery": { "title": "Destination (search a whole city)", "type": "string", "description": "Search an entire destination. Accepts a **city/region name** (`Paris`), a **TripAdvisor geoId** (`187147`), a **slug** (`paris-france`) or a full **TripAdvisor URL** - the actor resolves it automatically. Optional if you provide Start URLs below." }, "startUrls": { "title": "Start URLs (parse specific TripAdvisor pages)", "uniqueItems": true, "type": "array", "description": "Paste specific TripAdvisor URLs to scrape directly - a hotel / restaurant / attraction page, a listing or search page, or a Tourism destination page. Each URL is auto-detected and parsed into its own row, independent of the place types below. Mix freely with (or use instead of) a Destination.", "items": { "type": "string" } }, "placeTypes": { "title": "Place types to scrape (Destination search)", "uniqueItems": true, "type": "array", "description": "Which TripAdvisor verticals to pull for the Destination. Defaults to all five. Each selected type is searched independently up to the result cap below. Ignored for Start URLs.", "items": { "type": "string", "enum": [ "hotels", "restaurants", "things_to_do", "cruises", "vacation_rentals" ], "enumTitles": [ "🏨 Hotels", "🍽 Restaurants", "🎡 Things to do (attractions)", "🚢 Cruises", "🏠 Vacation rentals (apartments / B&Bs)" ] }, "default": [ "hotels", "restaurants", "things_to_do", "cruises", "vacation_rentals" ] }, "maxResultsPerType": { "title": "Max results per place type", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Upper bound on search results pulled for EACH selected place type. 20 = quick sample, 100 = solid dataset. The actor paginates TripAdvisor (30/page) under the hood to reach this number.", "default": 50 }, "includeDetails": { "title": "Also fetch full detail for each result", "type": "boolean", "description": "When on, every hotel / restaurant / attraction / vacation-rental search result is enriched with a second call that pulls its full detail page (amenities, hours, menu/room info, longer description, more photos). **This roughly doubles the per-result cost** (a `place-detail` event is charged on top of the search-result event). Not applied to cruises. Leave off for a fast, cheap listing-only run.", "default": false }, "currency": { "title": "Currency", "type": "string", "description": "Currency for hotel prices. Pick from the list or type any 3-letter ISO 4217 code.", "default": "USD" }, "hotelCheckIn": { "title": "Check-in date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "Optional. When both check-in and check-out are set, hotel results carry real dated nightly prices. Format `YYYY-MM-DD` or relative like `3 days`, `1 week`." }, "hotelCheckOut": { "title": "Check-out date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "Optional. Pair with check-in for dated prices. Format `YYYY-MM-DD` or relative like `5 days`." }, "hotelAdults": { "title": "Adults", "minimum": 1, "maximum": 10, "type": "integer", "description": "Guests per room, used for dated pricing.", "default": 2 }, "hotelRooms": { "title": "Rooms", "minimum": 1, "maximum": 8, "type": "integer", "description": "Number of rooms, used for dated pricing.", "default": 1 }, "hotelMinRating": { "title": "Minimum traveler rating", "enum": [ "", "3", "4", "5" ], "type": "string", "description": "Keep only hotels at or above this bubble rating.", "default": "" }, "hotelClasses": { "title": "Star class", "uniqueItems": true, "type": "array", "description": "Hotel star class (the official 1-5 star category). Multi-select.", "items": { "type": "string", "enum": [ "1_star", "2_star", "3_star", "4_star", "5_star" ], "enumTitles": [ "★ 1 Star", "★★ 2 Star", "★★★ 3 Star", "★★★★ 4 Star", "★★★★★ 5 Star" ] }, "default": [] }, "hotelStyles": { "title": "Hotel style", "uniqueItems": true, "type": "array", "description": "Style / vibe filter. Multi-select.", "items": { "type": "string", "enum": [ "budget", "mid_range", "luxury", "family", "business", "romantic", "modern" ], "enumTitles": [ "Budget", "Mid-range", "Luxury", "Family-friendly", "Business", "Romantic", "Modern / Design" ] }, "default": [] }, "hotelSort": { "title": "Sort hotels by", "enum": [ "BEST_VALUE", "TRAVELER_RANKING", "DISTANCE", "PRICE_LOW_TO_HIGH", "PRICE_HIGH_TO_LOW" ], "type": "string", "description": "Order of hotel search results.", "default": "BEST_VALUE" }, "restaurantPrice": { "title": "Price range", "uniqueItems": true, "type": "array", "description": "Restaurant price band. Multi-select.", "items": { "type": "string", "enum": [ "10953", "10955", "10954" ], "enumTitles": [ "$ Cheap eats", "$$ - $$$ Mid-range", "$$$$ Fine dining" ] }, "default": [] }, "restaurantMealTypes": { "title": "Meal type", "uniqueItems": true, "type": "array", "description": "When the restaurant serves. Multi-select.", "items": { "type": "string", "enum": [ "10597", "10598", "10599" ], "enumTitles": [ "Breakfast", "Lunch", "Dinner" ] }, "default": [] }, "restaurantDietary": { "title": "Dietary options", "uniqueItems": true, "type": "array", "description": "Dietary restrictions catered for. Multi-select.", "items": { "type": "string", "enum": [ "10665", "10697", "10992" ], "enumTitles": [ "Vegetarian friendly", "Vegan options", "Gluten free options" ] }, "default": [] }, "restaurantCuisines": { "title": "Cuisines", "uniqueItems": true, "type": "array", "description": "Filter restaurants by cuisine. Multi-select - pick by name, no IDs to look up. Leave empty for all cuisines.", "items": { "type": "string", "enum": [ "5086", "4617", "10654", "10659", "10649", "9908", "5473", "5379", "10346", "10660", "5110", "10655", "10664", "10661", "10675", "10663", "10626", "10687", "10633", "10632", "10639", "10749", "10653", "10643", "10345", "10651", "10668", "10641", "10642", "10640", "10682", "10670", "10683", "10646", "10686", "10679", "10648", "10671", "10669", "10666" ], "enumTitles": [ "French", "Italian", "European", "Asian", "Mediterranean", "American", "Japanese", "Chinese", "Indian", "Thai", "Mexican", "Spanish", "Greek", "Korean", "Vietnamese", "Turkish", "Lebanese", "Middle Eastern", "Moroccan", "African", "Latin", "South American", "Sushi", "Seafood", "Steakhouse", "Barbecue", "Grill", "Pizza", "Cafe", "Bar", "Wine Bar", "Pub", "Gastropub", "Fast Food", "Street Food", "Healthy", "International", "Fusion", "Contemporary", "Deli" ] }, "default": [] }, "restaurantRatingMin": { "title": "Minimum traveler rating", "enum": [ "", "3", "4", "5" ], "type": "string", "description": "Keep only restaurants at or above this bubble rating.", "default": "" }, "restaurantSort": { "title": "Sort restaurants by", "enum": [ "FEATURED", "POPULARITY", "RELEVANCE", "AVAILABILITY" ], "type": "string", "description": "Order of restaurant search results.", "default": "FEATURED" }, "cruiseDestination": { "title": "Cruise destination", "type": "string", "description": "Cruise region - e.g. Caribbean, Mediterranean, Alaska, Bahamas. Type a name or paste a TripAdvisor cruise destination URL. At least one of cruise destination or cruise line is required when 'Cruises' is selected.", "default": "" }, "cruiseLine": { "title": "Cruise line", "type": "string", "description": "Cruise line - e.g. Royal Caribbean, MSC, Carnival, Norwegian, Disney. Type a name or paste a TripAdvisor cruise line URL.", "default": "" }, "stopOnError": { "title": "Stop the whole run on the first error", "type": "boolean", "description": "If on, the run aborts as soon as one place type fails (e.g. UPSTREAM_BLOCKED). If off (default), the failing vertical is logged with a diagnostic row and the run continues with the others.", "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 } } } } } } } } } } ```