# Booking.com Scraper — Hotels, Prices & Reviews \[Real-Time] (`knotless_cadence/booking-com-scraper`) Actor Scrape Booking.com hotel listings — prices, ratings, reviews, amenities, availability. Compare properties by location. Perfect for travel research and price monitoring. Custom pipeline: $100 pilot, spinov001@gmail.com - **URL**: https://apify.com/knotless\_cadence/booking-com-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (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 ## Booking.com Scraper Extract hotel data from Booking.com — prices, ratings, review counts, star ratings, locations, and images. Search any destination with custom dates, guests, and filters. Perfect for price monitoring and travel market research. ### Features - **12+ data fields per hotel** — name, price, currency, rating, review count, star rating, location, distance, image, and booking URL - **Custom search parameters** — set check-in/check-out dates, number of adults, rooms, and currency - **6 sort options** — popularity, price (low/high), rating, review score, distance from center - **Price filters** — set minimum and maximum price ranges to narrow results - **Rating filters** — extract only hotels above a minimum rating threshold - **Multi-destination** — search multiple cities or regions in a single run - **Auto-pagination** — crawls through all result pages up to your limit ### Output Example ```json { "name": "The Plaza Hotel", "url": "https://www.booking.com/hotel/us/the-plaza.html", "price": 595.00, "currency": "USD", "rating": 9.1, "reviewCount": 4280, "stars": 5, "location": "Midtown Manhattan, New York", "distance": "0.3 km from center", "image": "https://cf.bstatic.com/xdata/images/hotel/...", "destination": "New York", "checkIn": "2026-03-19", "checkOut": "2026-03-20", "adults": 2, "rooms": 1, "scrapedAt": "2026-03-18T12:00:00.000Z" } ```` ### Use Cases - **Price monitoring** — track hotel prices across destinations over time to find pricing patterns and deals - **Competitive analysis** — compare hotel prices, ratings, and review volumes within a destination - **Travel market research** — analyze hotel supply, pricing tiers, and demand indicators across cities - **Revenue management** — monitor competitor pricing to optimize your own hotel rates - **Data-driven travel planning** — find the best value hotels by combining price, rating, and location data ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `destinations` | Array | `["New York"]` | Cities or regions to search for hotels | | `checkIn` | String | `""` (tomorrow) | Check-in date in YYYY-MM-DD format | | `checkOut` | String | `""` (day after) | Check-out date in YYYY-MM-DD format | | `adults` | Number | `2` | Number of adult guests | | `rooms` | Number | `1` | Number of rooms | | `maxResults` | Number | `50` | Maximum hotels to extract per destination | | `currency` | String | `"USD"` | Price currency (USD, EUR, GBP, etc.) | | `sortBy` | String | `"popularity"` | Sort: popularity, price\_asc, price\_desc, rating, review\_score, distance | | `minPrice` | Number | `null` | Minimum price filter | | `maxPrice` | Number | `null` | Maximum price filter | | `minRating` | Number | `null` | Minimum rating filter (e.g., 8.0) | ### Cost Estimation - \~$0.50 per 100 hotels extracted - 50 hotels per destination in under 2 minutes - Free tier: up to 25 hotels with Apify free plan ### FAQ **Q: Can I scrape prices in different currencies?** A: Yes. Set the `currency` parameter to any currency code supported by Booking.com (USD, EUR, GBP, JPY, etc.). Prices will be displayed in that currency. **Q: What if I don't specify dates?** A: If no dates are provided, the scraper defaults to tomorrow (check-in) and the day after (check-out) for a 1-night stay. **Q: Does it extract individual room types and prices?** A: The scraper extracts the headline price shown in search results (typically the cheapest available room). For detailed room-level pricing, you would need to scrape individual hotel pages. # Actor input Schema ## `destinations` (type: `array`): List of destinations to search (e.g., 'Paris', 'Tokyo', 'London') ## `checkIn` (type: `string`): Check-in date (YYYY-MM-DD). Defaults to tomorrow. ## `checkOut` (type: `string`): Check-out date (YYYY-MM-DD). Defaults to day after tomorrow. ## `adults` (type: `integer`): Number of adult guests for the hotel search ## `rooms` (type: `integer`): Number of rooms to book ## `maxResults` (type: `integer`): Maximum number of hotel listings to return per destination ## `currency` (type: `string`): Currency code for displaying hotel prices ## `sortBy` (type: `string`): Sort order for search results ## `minPrice` (type: `integer`): Minimum price per night ## `maxPrice` (type: `integer`): Maximum price per night ## `minRating` (type: `number`): Minimum review score (0-10) ## Actor input object example ```json { "destinations": [ "New York", "London", "Tokyo" ], "adults": 2, "rooms": 1, "maxResults": 50, "currency": "USD", "sortBy": "popularity" } ``` # 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 = { "destinations": [ "New York", "London", "Tokyo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("knotless_cadence/booking-com-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 = { "destinations": [ "New York", "London", "Tokyo", ] } # Run the Actor and wait for it to finish run = client.actor("knotless_cadence/booking-com-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 '{ "destinations": [ "New York", "London", "Tokyo" ] }' | apify call knotless_cadence/booking-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/booking-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Scraper — Hotels, Prices & Reviews [Real-Time]", "description": "Scrape Booking.com hotel listings — prices, ratings, reviews, amenities, availability. Compare properties by location. Perfect for travel research and price monitoring. Custom pipeline: $100 pilot, spinov001@gmail.com", "version": "1.0", "x-build-id": "T6Cc65xpA5vuUw2Im" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~booking-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-booking-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~booking-com-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-booking-com-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/knotless_cadence~booking-com-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-booking-com-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": [ "destinations" ], "properties": { "destinations": { "title": "Destinations", "type": "array", "description": "List of destinations to search (e.g., 'Paris', 'Tokyo', 'London')", "default": [ "New York" ], "items": { "type": "string" } }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date (YYYY-MM-DD). Defaults to tomorrow." }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date (YYYY-MM-DD). Defaults to day after tomorrow." }, "adults": { "title": "Adults", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of adult guests for the hotel search", "default": 2 }, "rooms": { "title": "Rooms", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of rooms to book", "default": 1 }, "maxResults": { "title": "Max Results Per Destination", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of hotel listings to return per destination", "default": 50 }, "currency": { "title": "Currency", "enum": [ "USD", "EUR", "GBP", "JPY", "AUD", "CAD", "CHF", "CNY", "RUB", "INR", "BRL" ], "type": "string", "description": "Currency code for displaying hotel prices", "default": "USD" }, "sortBy": { "title": "Sort By", "enum": [ "popularity", "price_asc", "rating", "review_score", "distance" ], "type": "string", "description": "Sort order for search results", "default": "popularity" }, "minPrice": { "title": "Min Price", "type": "integer", "description": "Minimum price per night" }, "maxPrice": { "title": "Max Price", "type": "integer", "description": "Maximum price per night" }, "minRating": { "title": "Min Rating", "type": "number", "description": "Minimum review score (0-10)" } } }, "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 } } } } } } } } } } ```