# Trivago Hotel Scraper (`moving_beacon-owner1/my-actor-4`) Actor Monitor hotel prices and extract listings from Trivago across multiple dates using fast API-based scraping. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-4.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Trivago Hotel Scraper — Apify Actor Scrapes hotel listings from Trivago's GraphQL API for multiple check-in dates. ### How It Works 1. **Browser phase** — Launches a headless Chromium browser via Playwright, navigates to the Trivago search page, and intercepts the first `accommodationSearchQuery` GraphQL request to capture live headers and the payload template. 2. **API replay phase** — Uses `httpx` to replay that GraphQL endpoint for each check-in date, paginating until all hotels are collected. Results are pushed to the Apify dataset. ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `destination` | string | `hotels-cardiff-united-kingdom` | Trivago destination slug from the URL | | `days` | integer | `10` | Number of consecutive check-in dates | | `adults` | integer | `2` | Number of adult guests | | `children` | integer | `0` | Number of children | | `rooms` | integer | `1` | Number of rooms | | `locale` | string | `en-GB` | Trivago locale code | | `maxRetries` | integer | `3` | Retries per failed page | | `delayBetweenPages` | number | `2` | Seconds between API calls | | `proxyConfiguration` | object | — | Apify proxy settings | ### Output Fields Each record in the dataset contains: - `arrival`, `departure` — Check-in / check-out dates - `hotel_id`, `hotel_name` — Hotel identifier and name - `star_rating`, `user_rating`, `review_count` — Ratings - `latitude`, `longitude`, `city`, `country` — Location - `distance_info` — Distance from city center - `best_price_amount`, `best_price_eurocents` — Best deal price - `advertiser_id`, `advertiser_name` — Booking provider - `cheapest_price` — Cheapest available price - `hotel_category`, `construction_year` — Property details - `has_special_offer`, `highlights` — Promotions and highlights # Actor input Schema ## `startUrl` (type: `string`): Full Trivago search URL. Example: https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2 ## `days` (type: `integer`): Number of consecutive check-in dates to scrape, starting from tomorrow. ## `maxRetries` (type: `integer`): Maximum number of retries for a failed API page request. ## `delayBetweenPages` (type: `number`): Delay in seconds between paginated API requests. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. ## Actor input object example ```json { "startUrl": "https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2", "days": 10, "maxRetries": 3, "delayBetweenPages": 2 } ```` # 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 = { "startUrl": "https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2" }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-4").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 = { "startUrl": "https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2" } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-4").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 '{ "startUrl": "https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2" }' | apify call moving_beacon-owner1/my-actor-4 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-4", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trivago Hotel Scraper", "description": "Monitor hotel prices and extract listings from Trivago across multiple dates using fast API-based scraping.", "version": "0.0", "x-build-id": "qhgTm3bGLsG09qqfM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-4/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-4", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-4/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-4", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-4/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-4", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrl" ], "properties": { "startUrl": { "title": "Trivago Search URL", "type": "string", "description": "Full Trivago search URL. Example: https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2", "default": "https://www.trivago.co.uk/en-GB/srl/hotels-london-united-kingdom?search=200-17399;dr-20260410-20260411;drs-40;rc-1-2" }, "days": { "title": "Number of Days", "minimum": 1, "maximum": 90, "type": "integer", "description": "Number of consecutive check-in dates to scrape, starting from tomorrow.", "default": 10 }, "maxRetries": { "title": "Max Retries Per Page", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of retries for a failed API page request.", "default": 3 }, "delayBetweenPages": { "title": "Delay Between Pages (seconds)", "minimum": 0.5, "maximum": 30, "type": "number", "description": "Delay in seconds between paginated API requests.", "default": 2 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration." } } }, "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 } } } } } } } } } } ```