# Booking.com Scraper API - Hotels, Prices, Ratings & Rooms (`makework36/fast-booking-scraper`) Actor Scrape Booking.com hotel listings, prices, ratings, reviews, and rooms by destination and dates. Fast Playwright extraction with residential proxy. - **URL**: https://apify.com/makework36/fast-booking-scraper.md - **Developed by:** [deusex machine](https://apify.com/makework36) (community) - **Categories:** Travel, E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 hotel listings 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 Hotel Scraper > ⭐ **Useful?** [Leave a review](https://apify.com/makework36/fast-booking-scraper/reviews) — takes 10 seconds and helps a lot! Extract hotel and accommodation data from **Booking.com** search results. Get prices, ratings, reviews, room details, taxes, deals, and images for any destination worldwide. ### What data does it extract? | Field | Description | |-------|-------------| | `name` | Hotel or property name | | `stars` | Star rating (1-5) | | `address` | City or neighborhood | | `distance` | Distance from city center | | `rating` | Guest rating score (0-10) | | `ratingLabel` | Rating category (Exceptional, Very Good, etc.) | | `reviews` | Number of guest reviews | | `locationScore` | Location-specific rating | | `price` | Total price as number | | `priceDisplay` | Formatted price with currency | | `originalPrice` | Price before discount (when available) | | `currency` | Currency code | | `taxes` | Tax and fee breakdown | | `nightsInfo` | Stay duration and guest count | | `unitConfig` | Room configuration (bedrooms, bathrooms, size) | | `roomInfo` | Full room details including bed types and amenities | | `deal` | Active promotions (Limited-time Deal, etc.) | | `image` | Property photo URL | | `url` | Direct link to the hotel on Booking.com | | `hotelId` | Booking.com property identifier | | `destination` | Search destination | | `checkin` | Check-in date used | | `checkout` | Check-out date used | | `scrapedAt` | ISO timestamp of extraction | ### Use cases - **Price monitoring** — track hotel rates across destinations daily - **Market research** — analyze pricing, ratings, and occupancy trends - **Travel planning** — compare hotels across multiple cities at once - **Competitor analysis** — monitor competing properties in your area - **Investment research** — evaluate hospitality markets before investing ### How to use #### Search by destination ```json { "destinations": ["Cancun", "Playa del Carmen"], "checkin": "2026-06-01", "checkout": "2026-06-05", "adults": 2, "maxResults": 50, "currency": "USD" } ```` #### Multiple cities comparison ```json { "destinations": ["New York", "Los Angeles", "Miami", "Chicago"], "checkin": "2026-07-10", "checkout": "2026-07-15", "adults": 2, "maxResults": 100, "currency": "USD" } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `destinations` | array | — | Destinations to search (required) | | `checkin` | string | — | Check-in date (`YYYY-MM-DD`) | | `checkout` | string | — | Check-out date (`YYYY-MM-DD`) | | `adults` | integer | `2` | Number of guests | | `maxResults` | integer | `25` | Max hotels to extract total | | `currency` | string | `USD` | Currency for prices | ### Output example ```json { "name": "The Westin Resort & Spa Cancun", "stars": 5, "address": "Hotel Zone, Cancún", "distance": "14.5 km from downtown", "rating": 8.1, "ratingLabel": "Very Good", "reviews": 3054, "locationScore": 9.3, "price": 416, "priceDisplay": "US$416", "originalPrice": null, "currency": "US$", "taxes": "+US$110 taxes and fees", "nightsInfo": "4 nights, 2 adults", "unitConfig": "1 bedroom • 1 bathroom • 35 m²", "roomInfo": "Double Room with Two Double Beds and Lagoon View — 2 full beds — Breakfast included — Free cancellation", "deal": null, "image": "https://cf.bstatic.com/xdata/images/hotel/square60/12345.jpg", "url": "https://www.booking.com/hotel/mx/the-westin-resort-spa-cancun.html", "hotelId": "the-westin-resort-spa-cancun", "destination": "Cancun", "checkin": "2026-06-01", "checkout": "2026-06-05", "scrapedAt": "2026-04-15T08:00:00.000Z" } ``` ### Performance & cost - **~25 hotels per destination** in a single search - **~75 seconds** per destination - Uses Apify residential proxy for reliable access - Recommended memory: **1024 MB** ### FAQ **Does it require a Booking.com account?** No. It reads publicly available search result pages. **What destinations are supported?** Any destination that Booking.com supports — cities, regions, landmarks, airports, or specific addresses. **How accurate are the prices?** Prices reflect real-time availability at the moment of scraping, including taxes and fees breakdown. **Can I search for specific hotel types?** The scraper returns all property types shown in search results: hotels, apartments, hostels, resorts, villas, and more. **Why does it use a browser?** Booking.com requires JavaScript rendering. The scraper uses Playwright with optimizations (blocked images/CSS/ads) to minimize bandwidth and cost. ### ❓ Extended FAQ #### How much does it cost to scrape Booking.com? Pay-per-result on Apify. At $1.50/1,000 hotels, scraping 100 listings costs ~$0.15. Apify residential proxy is required (~$0.30 per 1K extra). The Apify Free plan includes $5 credit (~3,000 hotels free to start). #### Can I scrape Booking.com without getting blocked? Yes. This actor uses Playwright with residential proxy rotation, blocks images/CSS/ads to reduce fingerprint, and respects rate limits — runs reliably on AWS WAF challenge sites. #### How fast is this Booking scraper? \~3-5 seconds per page of 25 hotels. Scraping 1,000 hotels takes ~3 minutes. Slower than HTTP scrapers because Booking.com requires JavaScript, but more reliable. #### Is Booking.com scraping legal? Booking.com hotel listings are public data. Scraping them for personal market research, price monitoring, or analytics is generally legal. Always respect Booking's Terms of Service. #### Does it scrape rooms and detailed pricing breakdowns? Yes — rooms array with bed types, prices, refundability, taxes, and deals are extracted per hotel. #### Can I filter by stars, score, or price range? Apply filters directly on Booking.com before copying the URL — the scraper respects all URL parameters. ### 🔗 Other scrapers by makework36 - [VRBO Scraper](https://apify.com/makework36/vrbo-scraper) — vacation rentals + Expedia hotels - [Fast Airbnb Price Scraper](https://apify.com/makework36/fast-airbnb-price-scraper) — Airbnb listings + prices - [Trustpilot Scraper API](https://apify.com/makework36/trustpilot-reviews-scraper) — reviews & business search - [Idealista Scraper API](https://apify.com/makework36/idealista-scraper) — real estate Spain/Italy/Portugal - [Flight Price Scraper](https://apify.com/makework36/flight-price-scraper) — compare 7 flight sources # Actor input Schema ## `destinations` (type: `array`): List of destinations to search (city names, areas, landmarks). ## `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. ## `maxResults` (type: `integer`): Maximum number of hotels to extract in total. ## `currency` (type: `string`): Currency for prices (e.g. USD, EUR, GBP, MXN). ## Actor input object example ```json { "destinations": [ "Cancun", "New York", "Barcelona" ], "checkin": "2026-06-01", "checkout": "2026-06-05", "adults": 2, "maxResults": 25, "currency": "USD" } ``` # 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": [ "Cancun" ], "checkin": "2026-06-01", "checkout": "2026-06-05" }; // Run the Actor and wait for it to finish const run = await client.actor("makework36/fast-booking-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": ["Cancun"], "checkin": "2026-06-01", "checkout": "2026-06-05", } # Run the Actor and wait for it to finish run = client.actor("makework36/fast-booking-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": [ "Cancun" ], "checkin": "2026-06-01", "checkout": "2026-06-05" }' | apify call makework36/fast-booking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=makework36/fast-booking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Scraper API - Hotels, Prices, Ratings & Rooms", "description": "Scrape Booking.com hotel listings, prices, ratings, reviews, and rooms by destination and dates. Fast Playwright extraction with residential proxy.", "version": "1.0", "x-build-id": "VuYUtSJHFaCCb2PWL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/makework36~fast-booking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-makework36-fast-booking-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/makework36~fast-booking-scraper/runs": { "post": { "operationId": "runs-sync-makework36-fast-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/makework36~fast-booking-scraper/run-sync": { "post": { "operationId": "run-sync-makework36-fast-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 (city names, areas, landmarks).", "items": { "type": "string" } }, "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 guests", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of hotels to extract in total.", "default": 25 }, "currency": { "title": "Currency", "type": "string", "description": "Currency for prices (e.g. USD, EUR, GBP, MXN).", "default": "USD" } } }, "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 } } } } } } } } } } ```