# Booking.com Scraper (`longanimous_bracken/booking-scraper`) Actor Scrapes hotels from Booking.com - **URL**: https://apify.com/longanimous\_bracken/booking-scraper.md - **Developed by:** [petteri mΓ€hΓΆnen](https://apify.com/longanimous_bracken) (community) - **Categories:** Travel, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 β€” Hotel & Accommodation Search Scrape hotels, apartments, and other accommodations from Booking.com search results. Extract prices, ratings, reviews, availability, amenities, and more β€” with residential proxy support to avoid blocking. [πŸ’° **$1.00 / 1,000 results**] β€” no monthly subscription, no hidden fees. ### Why This Scraper? - **Pay only per result** β€” flat $1.00 per 1,000 hotels, all platform costs included - **Direct URL support** β€” paste any Booking.com search or hotel URL, the actor handles both modes - **Every Booking.com search field exposed** β€” dates, guests, rooms, currencies, star rating, price range, and sort order - **Anti-bot protection handled** β€” Playwright with residential proxies bypasses Booking.com's WAF where simple scrapers fail - **20+ data fields per hotel** β€” prices, review scores, star ratings, room types, cancellation policy, breakfast, distance, photos, and more - **Automatic pagination** β€” scrapes across multiple result pages until your `maxResults` is reached - **Multi-language support** β€” works with English, Finnish, Swedish, German, French, Dutch, Polish, and more - **Clean, flat output** β€” every field is a primitive type (string, number, boolean), ready for spreadsheets and databases ### Who Is It For? - **Revenue managers and hoteliers** monitoring competitor pricing across their market - **Travel agencies and OTAs** building data feeds or price comparison tools - **Data analysts and researchers** studying hotel supply, pricing trends, and review distributions - **Developers** integrating accommodation data into applications, dashboards, or automated pipelines - **Individual travelers** who want to track prices for a specific destination over time ### Use Cases - **Travel price monitoring** β€” track hotel prices in a destination over time to find the best booking window - **Competitor analysis for hoteliers** β€” compare your property's pricing and review scores against nearby competitors - **Market research** β€” analyze hotel supply, pricing tiers, and review distributions across cities or regions - **Lead generation for travel agencies** β€” build lists of hotels with locations, ratings, and pricing - **Travel content & editorial** β€” power "Top 25 hotels in Lisbon" guides with live data - **Aggregator data feeds** β€” power a travel comparison site or internal dashboard with fresh Booking.com data ### Quick Start #### 1. Search by location (most common) ```json { "locations": ["Barcelona, Spain"], "maxResults": 50, "checkIn": "2026-09-01", "checkOut": "2026-09-07", "adults": 2, "rooms": 1, "currency": "USD", "sortOrder": "review" } ```` #### 2. Filtered β€” narrow by stars, price, and currency ```json { "locations": ["Lisbon"], "maxResults": 100, "checkIn": "2026-07-10", "checkOut": "2026-07-15", "adults": 2, "currency": "EUR", "minPrice": 80, "maxPrice": 200, "starsFilter": ["4", "5"], "sortOrder": "review" } ``` #### 3. Direct Booking.com URLs Paste any Booking.com hotel page or search URL. The actor visits each property and extracts all available data. ```json { "startUrls": [ { "url": "https://www.booking.com/hotel/gb/the-savoy.html" }, { "url": "https://www.booking.com/hotel/es/arts-barcelona.html" } ], "checkIn": "2026-09-01", "checkOut": "2026-09-07", "currency": "EUR" } ``` ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `startUrls` | array | `[]` | Direct Booking.com hotel or search page URLs | | `locations` | string\[] | `["San Francisco, CA"]` | Cities/areas to search | | `maxResults` | integer | `30` | Maximum results to return | | `checkIn` | string | `"2026-08-01"` | Check-in date (YYYY-MM-DD) | | `checkOut` | string | `"2026-08-07"` | Check-out date (YYYY-MM-DD) | | `adults` | integer | `2` | Number of adults (1-30) | | `children` | integer | `0` | Number of children (0-10) | | `rooms` | integer | `1` | Number of rooms (1-30) | | `currency` | enum | `"USD"` | Currency: USD, EUR, GBP, JPY, CAD, AUD, CHF, SEK, NOK, DKK, PLN, CZK, HUF, BRL, INR, CNY, KRW, MXN, TRY | | `sortOrder` | enum | `"popularity"` | Sort: popularity, price, review, stars, distance | | `minPrice` | integer | `0` | Minimum price per night filter | | `maxPrice` | integer | `0` | Maximum price per night filter | | `starsFilter` | string\[] | `[]` | Filter by star rating (e.g., `["4", "5"]`) | | `useProxy` | boolean | `true` | Enable residential proxies (recommended) | ### Output | Field | Type | Description | |-------|------|-------------| | `title` | string | Hotel/property name | | `hotel_id` | string | Booking.com hotel ID from URL | | `url` | string | Clean Booking.com property URL (tracking removed) | | `star_rating` | string | Star classification (1-5) | | `review_score` | number | Guest review score (0.0-10.0) | | `review_label` | string | Qualitative label (e.g., "Wonderful", "Very Good") | | `review_count` | integer | Number of guest reviews | | `location_score` | number | Location rating score | | `location` | string | Address/area text | | `distance` | string | Distance from city center | | `price` | number | Total price for the stay | | `price_per_night` | number | Average price per night | | `currency` | string | Currency code (USD, EUR, etc.) | | `original_price` | number | Original/strikethrough price | | `price_label` | string | Price period description | | `room_type` | string | Recommended room/unit type | | `free_cancellation` | boolean | Whether free cancellation is available | | `breakfast_included` | boolean | Whether breakfast is included | | `property_type` | string | Property type (Hotel, Apartment, Resort, etc.) | | `is_preferred` | boolean | Whether property has Preferred/Genius badge | | `image_url` | string | Property image URL | | `availability` | string | Room availability text | | `search_source` | string | Whether from `location_search` or `direct_url` | | `search_location` | string | The location searched | | `platform` | string | Always "booking.com" | | `scraped_at` | string | ISO 8601 timestamp | ### Pricing | Tier | Price | |------|-------| | Pay per result | **$1.00 / 1,000 results** | All platform costs (compute, residential proxy, storage) are included. No monthly subscription. ### Tips for Best Results - **Start small** β€” test with `maxResults: 10` before running large scrapes - **Set specific dates** β€” Booking.com prices vary significantly by date - **Use price filters** β€” narrow results with `minPrice` and `maxPrice` to focus on your target segment - **Filter by stars** β€” use `starsFilter: ["4", "5"]` to only get upscale properties - **Change currency** β€” set `currency` to your local currency to avoid conversion math - **Residential proxies recommended** β€” the actor uses them by default for best reliability against Booking.com's WAF - **Batch URLs** β€” when scraping by direct URL, include 5+ hotels per run for best value ### Notes - Booking.com uses heavy JavaScript rendering β€” PlaywrightCrawler is required - Residential proxies are **strongly recommended** (Booking.com blocks datacenter IPs) - Targets vary by region β€” results are in the chosen currency - Max ~25-30 cards per page; `maxResults` controls total across all pages - Direct hotel URLs skip pagination (single property only) *** ### Support & Feedback **Enjoying this Actor?** [Leave a review on Apify Store](https://apify.com/longanimous_bracken/booking-scraper/reviews) β€” it helps others discover the tool. Found a bug or have a feature request? [Open an issue](https://console.apify.com/actors/Gm73o9hX4uV931UxR/issues) on the Actor page. # Actor input Schema ## `startUrls` (type: `array`): Paste Booking.com hotel or search page URLs directly. Either this or 'Locations' is required. ## `locations` (type: `array`): Cities or areas to search (e.g., 'London', 'Paris, France', 'Tokyo'). Either this or 'Direct Hotel URLs' is required. ## `maxResults` (type: `integer`): Maximum number of results to return. ## `checkIn` (type: `string`): Check-in date (YYYY-MM-DD). ## `checkOut` (type: `string`): Check-out date (YYYY-MM-DD). ## `adults` (type: `integer`): Number of adult guests. ## `children` (type: `integer`): Number of children. ## `rooms` (type: `integer`): Number of rooms. ## `currency` (type: `string`): Currency for prices. ## `sortOrder` (type: `string`): Sort order for results. ## `minPrice` (type: `integer`): Minimum price per night filter. 0 = no minimum. ## `maxPrice` (type: `integer`): Maximum price per night filter. 0 = no maximum. ## `starsFilter` (type: `array`): Filter by star rating (e.g., '4', '5' for 4- and 5-star only). ## `useProxy` (type: `boolean`): Enable residential proxies (recommended for Booking.com). ## Actor input object example ```json { "startUrls": [], "locations": [ "San Francisco, CA" ], "maxResults": 30, "checkIn": "2026-08-01", "checkOut": "2026-08-07", "adults": 2, "children": 0, "rooms": 1, "currency": "USD", "sortOrder": "popularity", "minPrice": 0, "maxPrice": 0, "starsFilter": [], "useProxy": true } ``` # Actor output Schema ## `listings` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("longanimous_bracken/booking-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("longanimous_bracken/booking-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call longanimous_bracken/booking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/booking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Scraper", "description": "Scrapes hotels from Booking.com", "version": "0.9", "x-build-id": "GlSe0PTyIY3gi7dQi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~booking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/longanimous_bracken~booking-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/longanimous_bracken~booking-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Direct Hotel URLs", "type": "array", "description": "Paste Booking.com hotel or search page URLs directly. Either this or 'Locations' is required.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "locations": { "title": "Locations", "type": "array", "description": "Cities or areas to search (e.g., 'London', 'Paris, France', 'Tokyo'). Either this or 'Direct Hotel URLs' is required.", "items": { "type": "string" }, "default": [ "San Francisco, CA" ] }, "maxResults": { "title": "Max Results", "type": "integer", "description": "Maximum number of results to return.", "default": 30 }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date (YYYY-MM-DD).", "default": "2026-08-01" }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date (YYYY-MM-DD).", "default": "2026-08-07" }, "adults": { "title": "Adults", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "children": { "title": "Children", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of children.", "default": 0 }, "rooms": { "title": "Rooms", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of rooms.", "default": 1 }, "currency": { "title": "Currency", "enum": [ "USD", "EUR", "GBP", "JPY", "CAD", "AUD", "CHF", "SEK", "NOK", "DKK", "PLN", "CZK", "HUF", "BRL", "INR", "CNY", "KRW", "MXN", "TRY" ], "type": "string", "description": "Currency for prices.", "default": "USD" }, "sortOrder": { "title": "Sort By", "enum": [ "popularity", "price", "review", "stars", "distance" ], "type": "string", "description": "Sort order for results.", "default": "popularity" }, "minPrice": { "title": "Minimum Price (per night)", "minimum": 0, "type": "integer", "description": "Minimum price per night filter. 0 = no minimum.", "default": 0 }, "maxPrice": { "title": "Maximum Price (per night)", "minimum": 0, "type": "integer", "description": "Maximum price per night filter. 0 = no maximum.", "default": 0 }, "starsFilter": { "title": "Star Rating Filter", "type": "array", "description": "Filter by star rating (e.g., '4', '5' for 4- and 5-star only).", "items": { "type": "string" }, "default": [] }, "useProxy": { "title": "Use Residential Proxies", "type": "boolean", "description": "Enable residential proxies (recommended for Booking.com).", "default": true } } }, "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 } } } } } } } } } } ```