# Booking.com MCP Server (`axlymxp/booking-mcp-server`) Actor MCP server for Booking.com: search attractions & things-to-do, get hotel details, room rates and reviews live from Claude, Cursor, or any AI agent. Powered by the official Booking.com Android API. Pay per tool call. - **URL**: https://apify.com/axlymxp/booking-mcp-server.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Travel, AI - **Stats:** 1 total users, 0 monthly users, 3.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 mcp tool calls This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Booking.com MCP Server A **Model Context Protocol (MCP) server** for Booking.com — let Claude, Cursor, ChatGPT, or any AI agent search attractions and things-to-do, fetch hotel details, room rates and reviews **live**, using the **official Booking.com Android app API**. No HTML scraping, no login. This is the first Booking.com MCP server on the Apify Store. Point your agent at it and ask natural-language travel questions; the agent calls structured tools and gets clean JSON back. ### Tools | Tool | Description | | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- | | `resolve_destination(query)` | Resolve a city name + country code, attractions URL, or ufi to a Booking location id. | | `list_attraction_cities(country_code, limit)` | List attraction cities for a country, each with its ufi and product count. | | `search_attractions(destination, start_date, end_date, limit)` | Search attractions / tours / tickets for a destination. | | `get_attraction(slug, start_date, end_date)` | Full detail for one attraction (description, highlights, included, address). | | `get_attraction_availability(product_id, date_str)` | Bookable time slots and offers for a date. | | `get_attraction_reviews(product_id)` | Guest review snippets for an attraction. | | `get_hotel(hotel_id, check_in, check_out, adults, include_rooms, include_reviews)` | Full hotel detail: address, stars, scores, house rules, rooms, reviews. | | `get_hotel_reviews(hotel_id, ufi)` | Review score breakdown and featured guest reviews for a hotel. | ### Two ways to run 1. **MCP server (Standby mode)** — start the actor in Standby and connect your MCP client to the `/mcp` endpoint. Tools are called on demand. 2. **Classic run** — provide `destinations` in the input to run a one-shot attractions search that writes results to the dataset. ### Connecting an MCP client Start the actor in Standby mode and use the provided MCP URL. Example client config: ```json { "mcpServers": { "booking": { "url": "https:///mcp" } } } ```` Then ask your agent things like: - "Find the top 10 attractions in Rome for August 10 and show prices." - "What are the guest review scores for Booking hotel 1106729?" - "List attraction cities in France with their location IDs." ### Pricing This actor uses **Pay Per Event** pricing: - **MCP tool call:** $0.02 per completed tool call (also charged once per classic run start). You only pay for the tool calls your agent actually makes. ### Example classic-run input ```json { "destinations": ["Rome, it"], "startDate": "2026-08-10", "endDate": "2026-08-10", "maxItemsPerLocation": 20 } ``` ### Related actors - **Booking.com Attractions & Things-to-Do Scraper** — bulk attractions scraping to a dataset. - **Booking.com Hotel Detail & Reviews Scraper** — bulk hotel detail enrichment by ID. ### FAQ **Do I need a proxy?** No. The Booking.com app API works from datacenter IPs. **Is login required?** No. The server authenticates anonymously via the official app device-token flow. **Which agents are supported?** Any MCP-compatible client — Claude Desktop, Cursor, and custom agents using the MCP SDK. ### Disclaimer This server exposes publicly available Booking.com data for legitimate use cases such as research and trip planning. You are responsible for how you use the data, including compliance with Booking.com's terms and applicable laws. # Actor input Schema ## `destinations` (type: `array`): Providing destinations triggers a one-shot attractions search to the dataset instead of starting the MCP server. Leave empty for MCP server mode. Each item: city name + country code, attractions URL, or ufi. ## `startDate` (type: `string`): YYYY-MM-DD. Used in classic run mode only. ## `endDate` (type: `string`): YYYY-MM-DD. Used in classic run mode only. ## `maxItemsPerLocation` (type: `integer`): Max attractions per destination in classic run mode. ## Actor input object example ```json { "destinations": [], "startDate": "", "endDate": "", "maxItemsPerLocation": 20 } ``` # 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("axlymxp/booking-mcp-server").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("axlymxp/booking-mcp-server").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 axlymxp/booking-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/booking-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com MCP Server", "description": "MCP server for Booking.com: search attractions & things-to-do, get hotel details, room rates and reviews live from Claude, Cursor, or any AI agent. Powered by the official Booking.com Android API. Pay per tool call.", "version": "1.0", "x-build-id": "7hsOYYUVgvPxYEmqE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~booking-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-booking-mcp-server", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~booking-mcp-server/runs": { "post": { "operationId": "runs-sync-axlymxp-booking-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~booking-mcp-server/run-sync": { "post": { "operationId": "run-sync-axlymxp-booking-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "destinations": { "title": "Destinations (optional — classic run mode)", "type": "array", "description": "Providing destinations triggers a one-shot attractions search to the dataset instead of starting the MCP server. Leave empty for MCP server mode. Each item: city name + country code, attractions URL, or ufi.", "default": [], "items": { "type": "string" } }, "startDate": { "title": "Start date", "type": "string", "description": "YYYY-MM-DD. Used in classic run mode only.", "default": "" }, "endDate": { "title": "End date", "type": "string", "description": "YYYY-MM-DD. Used in classic run mode only.", "default": "" }, "maxItemsPerLocation": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Max attractions per destination in classic run mode.", "default": 20 } } }, "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 } } } } } } } } } } ```