# Booking.com Hotels Scraper (`jungle_synthesizer/booking-com-hotels-scraper`) Actor Scrape hotel listings from Booking.com search results. Provide a destination, check-in/check-out dates, and number of guests to get hotel names, prices, ratings, review counts, room types, cancellation policies, and location data as a clean, structured dataset. - **URL**: https://apify.com/jungle\_synthesizer/booking-com-hotels-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (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 event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Hotels Scraper Scrape hotel listings from Booking.com search results. Provide a destination, check-in/out dates, and number of guests to get hotel names, prices, ratings, review counts, room types, cancellation policies, and location data as a clean, structured dataset. ### What it does Given a destination city and date range, the actor searches Booking.com and returns all hotel listings from the search results page. Each record includes the hotel's name, URL, address, star rating, review score, nightly price, room type, and cancellation policy. The actor uses a real Chromium browser (Playwright) to automatically solve Booking.com's AWS WAF JavaScript challenge and extract data after the page renders. ### Use cases - Travel analytics and competitor pricing research - Hotel availability monitoring and rate tracking - Business travel planning datasets - Academic travel and hospitality research - Destination popularity and pricing trend analysis ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `destination` | string | Yes | City, region, or address to search (e.g. "London", "Tokyo") | | `checkIn` | string | Yes | Check-in date in YYYY-MM-DD format | | `checkOut` | string | Yes | Check-out date in YYYY-MM-DD format | | `adults` | integer | No | Number of adult guests (default: 2) | | `rooms` | integer | No | Number of rooms (default: 1) | | `currency` | string | No | Currency code for prices (default: USD) | | `language` | string | No | Language code for hotel info (default: en-gb) | | `maxItems` | integer | Yes | Maximum number of hotel records to return | ### Output Each dataset item contains: ```json { "hotel_id": "12345", "name": "The Savoy", "url": "https://www.booking.com/hotel/gb/the-savoy-london.en-gb.html", "address": "Strand, London WC2R 0EZ", "star_rating": 5, "review_score": 9.2, "review_count": 4823, "review_category": "Exceptional", "price_per_night": 450, "currency": "USD", "checkin_date": "2026-08-01", "checkout_date": "2026-08-02", "nights": 1, "adults": 2, "rooms_searched": 1, "room_type": "Superior Room", "cancellation_policy": "Free cancellation", "breakfast_included": false, "thumbnail_url": "https://cf.bstatic.com/xdata/images/hotel/...", "latitude": 51.5106, "longitude": -0.1201, "scraped_at": "2026-08-01T00:00:00.000Z" } ```` ### Technical notes - Uses Playwright (Chromium) with DataImpulse residential proxy to bypass Booking.com's AWS WAF protection - The AWS WAF JavaScript challenge resolves automatically in ~3-5 seconds - Each search returns up to ~25 hotel listings from the first results page - Recommended memory: 2048 MB (minimum 1024 MB) - Requires compatibility tier 2 (browser-rendered pages with residential proxy) # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `destination` (type: `string`): City, region, or address to search for hotels (e.g. "London", "Tokyo", "New York, NY"). ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. ## `adults` (type: `integer`): Number of adult guests. ## `rooms` (type: `integer`): Number of rooms to book. ## `currency` (type: `string`): Currency code for prices (e.g. USD, EUR, GBP). ## `language` (type: `string`): Language for hotel descriptions (e.g. en-gb, en-us, de, fr). ## `maxItems` (type: `integer`): Maximum number of hotel records to return. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "London", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "currency": "USD", "language": "en-gb", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "London", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "currency": "USD", "language": "en-gb", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/booking-com-hotels-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "London", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "currency": "USD", "language": "en-gb", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/booking-com-hotels-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "London", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "currency": "USD", "language": "en-gb", "maxItems": 10 }' | apify call jungle_synthesizer/booking-com-hotels-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/booking-com-hotels-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotels Scraper", "description": "Scrape hotel listings from Booking.com search results. Provide a destination, check-in/check-out dates, and number of guests to get hotel names, prices, ratings, review counts, room types, cancellation policies, and location data as a clean, structured dataset.", "version": "0.1", "x-build-id": "c4i3Ui2bm68jFjgIY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~booking-com-hotels-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-booking-com-hotels-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/jungle_synthesizer~booking-com-hotels-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-booking-com-hotels-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/jungle_synthesizer~booking-com-hotels-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-booking-com-hotels-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", "checkIn", "checkOut", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "destination": { "title": "Destination", "type": "string", "description": "City, region, or address to search for hotels (e.g. \"London\", \"Tokyo\", \"New York, NY\")." }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format." }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format." }, "adults": { "title": "Number of Adults", "type": "integer", "description": "Number of adult guests." }, "rooms": { "title": "Number of Rooms", "type": "integer", "description": "Number of rooms to book." }, "currency": { "title": "Currency", "type": "string", "description": "Currency code for prices (e.g. USD, EUR, GBP)." }, "language": { "title": "Language", "type": "string", "description": "Language for hotel descriptions (e.g. en-gb, en-us, de, fr)." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of hotel records to return." } } }, "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 } } } } } } } } } } ```