# Fast Booking.com Scraper (`crawlerbros/fast-booking-scraper`) Actor Fast, lightweight scraper for Booking.com hotel listings. Extract hotel names, prices, ratings, and basic details from search results. - **URL**: https://apify.com/crawlerbros/fast-booking-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Real estate, Other, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 16 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Fast Booking.com Scraper Quickly scrape hotel listings from Booking.com search results. Extract hotel names, nightly prices, guest ratings, review counts, addresses, and distances — optimized for speed. ### What does it do? This scraper searches Booking.com for hotels in any city or region and extracts key listing data from the search results page. It's designed for quick data collection when you need basic hotel information without detailed amenities or room configurations. ### Features - Search any destination worldwide - Customize check-in/check-out dates, guests, and rooms - Extract prices in any supported currency - Fast execution — typically completes in under 30 seconds - Automatic retry with fresh sessions on blocking ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | location | string | Yes | — | City or destination (e.g., "Paris", "New York") | | checkinDate | string | No | Tomorrow | Check-in date (YYYY-MM-DD) | | checkoutDate | string | No | Tomorrow + 3 days | Check-out date (YYYY-MM-DD) | | adults | integer | No | 2 | Number of adults | | rooms | integer | No | 1 | Number of rooms | | currency | string | No | USD | Currency for prices | | maxResults | integer | No | 50 | Maximum hotels to return | | proxyConfiguration | object | Yes | Residential | Proxy settings | ### Output | Field | Type | Description | |-------|------|-------------| | name | string | Hotel name | | url | string | Direct Booking.com link | | price | number | Nightly price | | currency | string | Price currency symbol | | rating | number | Guest rating (0-10) | | reviewCount | integer | Number of reviews | | reviewWord | string | Rating label (e.g., "Excellent") | | stars | integer | Star rating (0-5) | | propertyType | string | Hotel, Apartment, etc. | | address | string | Location/district | | city | string | City name | | distance | string | Distance from downtown | | photoUrl | string | Main photo URL | | checkin | string | Check-in date | | checkout | string | Check-out date | | scrapedAt | string | Extraction timestamp | ### FAQ **Does it require a Booking.com account?** No. All data is extracted from public search results. **Why is residential proxy required?** Booking.com blocks datacenter IPs. Residential proxy is necessary for reliable operation. **How many results can I get?** Up to 500 per search. The default is 50. **Does it work for any destination?** Yes — any city, region, or country that Booking.com supports. # Actor input Schema ## `location` (type: `string`): City, region, or destination to search (e.g., 'Paris', 'New York', 'Tokyo') ## `checkinDate` (type: `string`): Check-in date in YYYY-MM-DD format. Leave empty to use tomorrow's date automatically. ## `checkoutDate` (type: `string`): Check-out date in YYYY-MM-DD format. Leave empty to default to 3 days after check-in. ## `adults` (type: `integer`): Number of adult guests. ## `rooms` (type: `integer`): Number of rooms needed. ## `currency` (type: `string`): Currency code for prices (e.g., 'USD', 'EUR', 'GBP'). ## `maxResults` (type: `integer`): Maximum number of hotel listings to scrape. ## `proxyConfiguration` (type: `object`): Residential proxy is required — Booking.com blocks datacenter IPs. ## Actor input object example ```json { "location": "Paris", "adults": 2, "rooms": 1, "currency": "USD", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # 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 = { "location": "Paris", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/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 = { "location": "Paris", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/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 '{ "location": "Paris", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call crawlerbros/fast-booking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/fast-booking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fast Booking.com Scraper", "description": "Fast, lightweight scraper for Booking.com hotel listings. Extract hotel names, prices, ratings, and basic details from search results.", "version": "1.0", "x-build-id": "aXaLB12c5TBGlApDn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~fast-booking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~fast-booking-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-fast-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~fast-booking-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-fast-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City, region, or destination to search (e.g., 'Paris', 'New York', 'Tokyo')" }, "checkinDate": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format. Leave empty to use tomorrow's date automatically." }, "checkoutDate": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format. Leave empty to default to 3 days after check-in." }, "adults": { "title": "Number of Adults", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "rooms": { "title": "Number of Rooms", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of rooms needed.", "default": 1 }, "currency": { "title": "Currency", "type": "string", "description": "Currency code for prices (e.g., 'USD', 'EUR', 'GBP').", "default": "USD" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of hotel listings to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxy is required — Booking.com blocks datacenter IPs." } } }, "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 } } } } } } } } } } ```