# Booking.com Stay Details Scraper (`nifty.codes/booking-com-staydetails-scraper`) Actor Extract property amenities, scores, room types, and breakfast details from individual property pages. Powered by Booking.com Scraper. - **URL**: https://apify.com/nifty.codes/booking-com-staydetails-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** Travel - **Stats:** 1 total users, 0 monthly users, 94.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Introduction This actor extracts Stay Details from Booking.com. It retrieves data from individual property pages including amenity lists, review scores, room availability types, and breakfast information. It is designed for deep property analysis rather than search result lists. ## Data Fields | Field Name | Description | Example | | --- | --- | --- | | Property Name | The name of the accommodation | Grand Central Hotel | | Property Type | Category of the stay | Hotel | | Is Single Type Property | Boolean for property classification | true | | Hotel Currency Code | Local currency of the property | USD | | Preferred Value | Booking.com partner status | 1 | | Is Property Booked | Current availability status | false | | Is TPI Exclusive | Third party integration status | false | | Travel Proud | Inclusivity certification status | true | | Chain IDs | IDs of associated hotel chains | [123, 456] | | Brands | Associated brand names | ["Marriott"] | | Total Score | Overall guest rating | 8.8 | | Reviews Count | Total number of guest reviews | 1250 | | Staff Score | Rating for staff service | 9.2 | | Services Score | Rating for facilities | 8.5 | | Cleanliness Score | Rating for hygiene | 9.0 | | Comfort Score | Rating for room comfort | 8.7 | | Value Score | Rating for price/quality ratio | 8.2 | | Location Score | Rating for property location | 9.5 | | Breakfast Score | Rating for breakfast quality | 8.4 | | Free WiFi Score | Rating for free internet | 9.1 | | Paid WiFi Score | Rating for paid internet | null | | Highlight Facilities | List of top amenities | ["Pool", "Spa"] | | Accommodation Highlights | Key selling points | ["Great location"] | | Food Amenities | On-site dining options | ["Restaurant", "Bar"] | | Meal Types Available | Types of meals served | ["Breakfast", "Dinner"] | | Breakfast Price | Cost of breakfast | 25.00 | | Breakfast Style | Buffet or a la carte | Buffet | | Breakfast Cuisine | Type of food served | Continental | | Breakfast Foods | Specific food items | ["Croissants", "Eggs"] | | Breakfast Drinks | Specific beverages | ["Coffee", "Juice"] | | Breakfast Dietary | Dietary options | ["Vegan", "Gluten-free"] | | Breakfast Food Score | Specific breakfast rating | 8.1 | | Total Room Types | Count of different room categories | 5 | | Room Types Available | Names of available rooms | ["Deluxe King"] | | Total Room Photos | Count of room-specific images | 45 | | Q&A Count | Number of answered questions | 12 | | Partner Opted Out Of Q&A | Property Q&A status | false | | Average Response Time | How fast property replies | Within 24 hours | | Fine Prints | Important policy text | ["No pets allowed"] | | License Numbers | Legal registration numbers | ["12345678"] | | License Phrases | Legal disclaimer text | ["Licensed property"] | | Main Photo Alt Text | Description of main image | Hotel exterior at night | | Logo Photo | URL to property logo | https://example.com/logo.jpg | | All Images | List of all property image URLs | ["https://img.com/1.jpg"] | | URL | The source property URL | https://www.booking.com/hotel/us/example.html | ## Input - `urls`: Array of Booking.com property page URLs. - `maxItems`: Maximum number of items to process per URL. ## Example Input ```json { "urls": ["https://www.booking.com/hotel/us/example.html"], "maxItems": 1 } ```` ## Example Output ```json [ { "propertyName": "Grand Central Hotel", "propertyType": "Hotel", "hotelCurrencyCode": "USD", "totalScore": 8.8, "reviewsCount": 1250, "staffScore": 9.2, "servicesScore": 8.5, "cleanlinessScore": 9.0, "comfortScore": 8.7, "valueScore": 8.2, "locationScore": 9.5, "breakfastScore": 8.4, "highlightFacilities": ["Free WiFi", "Fitness center"], "breakfastPrice": 20.0, "roomTypesAvailable": ["Standard Double", "Executive Suite"], "url": "https://www.booking.com/hotel/us/example-1.html" }, { "propertyName": "Seaside Resort", "propertyType": "Resort", "hotelCurrencyCode": "EUR", "totalScore": 9.1, "reviewsCount": 850, "staffScore": 9.5, "servicesScore": 9.0, "cleanlinessScore": 9.3, "comfortScore": 9.2, "valueScore": 8.8, "locationScore": 9.8, "breakfastScore": 9.0, "highlightFacilities": ["Private Beach", "Pool"], "breakfastPrice": 0.0, "roomTypesAvailable": ["Ocean View King"], "url": "https://www.booking.com/hotel/it/example-2.html" } ] ``` #### Want more from Booking.com? This actor only covers **Stay Details**. The full **Booking.com Scraper** browser extension also includes **Stays in Search, Stay Availability, Stay Rooms, Stay Reviews, Flights in a List, Flight Details** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Booking.com Scraper extension](https://nifty.codes/e/booking-scraper)** ## Disclaimer This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: booking.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## Actor input object example ```json { "urls": [ "https://www.booking.com/hotel/gb/leicester-square-3rd-floor-studios.html?aid=304142&label=gen173nr-10CAEoggI46AdIM1gEaBiIAQGYATO4ARfIAQzYAQPoAQH4AQGIAgGoAgG4AuaKtcsGwAIB0gIkOWEwOGU4NWEtOGU0Mi00MDkyLTllMzUtZDQ0Y2U0Mzg0N2Yw2AIB4AIB&sid=44feebc52d36787f91d66470d41bf609&all_sr_blocks=1325970402_405214423_2_0_0&checkin=2026-11-01&checkout=2026-11-30&dest_id=-2601889&dest_type=city&dist=0&group_adults=1&group_children=0&hapos=1&highlighted_blocks=1325970402_405214423_2_0_0&hpos=1&matching_block_id=1325970402_405214423_2_0_0&no_rooms=1&req_adults=1&req_children=0&room1=A&sb_price_type=total&sr_order=popularity&sr_pri_blocks=1325970402_405214423_2_0_0__485982&srepoch=1768775832&srpvid=7b4f9f0195f00122&type=total&ucfs=1&#tab-main" ], "maxItems": 100 } ``` # 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("nifty.codes/booking-com-staydetails-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 = {} # Run the Actor and wait for it to finish run = client.actor("nifty.codes/booking-com-staydetails-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 '{}' | apify call nifty.codes/booking-com-staydetails-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/booking-com-staydetails-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Stay Details Scraper", "description": "Extract property amenities, scores, room types, and breakfast details from individual property pages. Powered by Booking.com Scraper.", "version": "3.2", "x-build-id": "Db9KNeDgkOWqR4rj1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~booking-com-staydetails-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-booking-com-staydetails-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~booking-com-staydetails-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-booking-com-staydetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~booking-com-staydetails-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-booking-com-staydetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "URLs to scrape. Must match: booking.com", "items": { "type": "string" }, "default": [ "https://www.booking.com/hotel/gb/leicester-square-3rd-floor-studios.html?aid=304142&label=gen173nr-10CAEoggI46AdIM1gEaBiIAQGYATO4ARfIAQzYAQPoAQH4AQGIAgGoAgG4AuaKtcsGwAIB0gIkOWEwOGU4NWEtOGU0Mi00MDkyLTllMzUtZDQ0Y2U0Mzg0N2Yw2AIB4AIB&sid=44feebc52d36787f91d66470d41bf609&all_sr_blocks=1325970402_405214423_2_0_0&checkin=2026-11-01&checkout=2026-11-30&dest_id=-2601889&dest_type=city&dist=0&group_adults=1&group_children=0&hapos=1&highlighted_blocks=1325970402_405214423_2_0_0&hpos=1&matching_block_id=1325970402_405214423_2_0_0&no_rooms=1&req_adults=1&req_children=0&room1=A&sb_price_type=total&sr_order=popularity&sr_pri_blocks=1325970402_405214423_2_0_0__485982&srepoch=1768775832&srpvid=7b4f9f0195f00122&type=total&ucfs=1&#tab-main" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "default": 100 } } }, "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 } } } } } } } } } } ```