# Booking.com Hotel Scraper - Prices, Ratings & Amenities (`thirdwatch/booking-hotel-scraper`) Actor Scrape Booking.com hotel search results: names, prices, ratings, reviews, location, stars, amenities, distance from center. Supports destination, date, and guest filters. - **URL**: https://apify.com/thirdwatch/booking-hotel-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Travel, Other - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.80 / 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. 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 ## Booking.com Hotel Scraper - Prices, Ratings & Amenities > Scrape Booking.com hotel search results. Get names, prices, ratings, reviews, location, stars, and amenities. ### What you get Search hotels on Booking.com by destination and dates. Extract hotel names, prices, ratings, review scores, star ratings, amenities, distance from center, and availability. Perfect for travel research, price comparison, and hospitality analytics. ### Output fields | Field | Description | |-------|-------------| | `name` | Hotel name | | `price` | Price per night | | `rating` | Guest review score | | `reviews_count` | Number of reviews | | `stars` | Hotel star rating | | `location` | Hotel location | | `distance_from_center` | Distance from city center | | `amenities` | Available amenities | | `url` | Booking.com hotel URL | ### Example output ```json { "name": "Hotel Grand Palace", "price": "$120", "rating": 8.7, "reviews_count": 3200, "stars": 4, "location": "Paris, France", "distance_from_center": "0.5 km", "amenities": ["Free WiFi", "Pool", "Restaurant"], "url": "https://www.booking.com/hotel/..." } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `destination` | Yes | City or destination (e.g., "Paris", "New York") | | `checkinDate` | Yes | Check-in date (YYYY-MM-DD) | | `checkoutDate` | Yes | Check-out date (YYYY-MM-DD) | | `adults` | No | Number of adults (default: 2) | | `maxResults` | No | Max hotels to extract (default: 50) | ### Use cases - **Travel agencies**: Compare hotel prices across destinations - **Revenue managers**: Track competitor pricing and availability - **Travel apps**: Build hotel comparison features - **Researchers**: Analyze hospitality market pricing trends ### Limitations - Prices depend on dates and guest count selected - Availability changes in real time - Some hotels may have limited amenity data # Actor input Schema ## `destination` (type: `string`): City or destination to search for hotels. Examples: 'London', 'Paris', 'New York', 'Tokyo'. ## `checkinDate` (type: `string`): Check-in date in YYYY-MM-DD format. ## `checkoutDate` (type: `string`): Check-out date in YYYY-MM-DD format. ## `adults` (type: `integer`): Number of adult guests. ## `maxResults` (type: `integer`): Maximum number of hotels to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "destination": "London", "checkinDate": "2026-05-01", "checkoutDate": "2026-05-03", "adults": 2, "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "destination": "London", "checkinDate": "2026-05-01", "checkoutDate": "2026-05-03", "adults": 2, "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/booking-hotel-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 = { "destination": "London", "checkinDate": "2026-05-01", "checkoutDate": "2026-05-03", "adults": 2, "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/booking-hotel-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 '{ "destination": "London", "checkinDate": "2026-05-01", "checkoutDate": "2026-05-03", "adults": 2, "maxResults": 50 }' | apify call thirdwatch/booking-hotel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/booking-hotel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotel Scraper - Prices, Ratings & Amenities", "description": "Scrape Booking.com hotel search results: names, prices, ratings, reviews, location, stars, amenities, distance from center. Supports destination, date, and guest filters.", "version": "1.0", "x-build-id": "ZzVBIzUsgc2LMxELB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~booking-hotel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-booking-hotel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~booking-hotel-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-booking-hotel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~booking-hotel-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-booking-hotel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "destination", "checkinDate", "checkoutDate" ], "properties": { "destination": { "title": "Destination", "type": "string", "description": "City or destination to search for hotels. Examples: 'London', 'Paris', 'New York', 'Tokyo'.", "default": "London" }, "checkinDate": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format.", "default": "2026-05-01" }, "checkoutDate": { "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 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of hotels to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```