# Booking Property Scraper (`f4bz3/booking-scraper`) Actor This web scraping tool allows you to extract property data from Booking.com - **URL**: https://apify.com/f4bz3/booking-scraper.md - **Developed by:** [Fabian Wassermann](https://apify.com/f4bz3) (community) - **Categories:** Travel, Automation, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 1,000 scraped property results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## What does Booking Property Scraper do? This web scraping tool allows you to extract property data from Booking.com, one of the biggest platforms for hotels and apartments. ### What data can I scrape? Hotel name, address, description, coordinates and full property content for AI models. ### Input The input for Booking Property Scraper should be a property URL (hotel detail page) that you want to extract data from. The input will look something like this: ```` { "propertyUrl": "https://www.booking.com/hotel/at/studio-im-zentrum-nahe-bergbahn.de.html?label=gen173nr-10CAsoDkIfc3R1ZGlvLWltLXplbnRydW0tbmFoZS1iZXJnYmFobkgzWARoDogBAZgBM7gBF8gBDNgBA-gBAfgBAYgCAagCAbgC2sHMzwbAAgHSAiRjZGQ3OWJjNy1jYjc2LTQ5ZGEtODZhZC03MzkwYmY0OTcyOTfYAgHgAgE\&sid=55fb1d8fe95bfabc304b957ddab7406c\&dist=0\&keep\_landing=1\&sb\_price\_type=total\&type=total&" } ``` ### Output The output for the Booking Property Scraper looks like: ``` \[ { "url": "https://www.booking.com/hotel/at/studio-im-zentrum-nahe-bergbahn.de.html?label=gen173nr-10CAsoDkIfc3R1ZGlvLWltLXplbnRydW0tbmFoZS1iZXJnYmFobkgzWARoDogBAZgBM7gBF8gBDNgBA-gBAfgBAYgCAagCAbgC2sHMzwbAAgHSAiRjZGQ3OWJjNy1jYjc2LTQ5ZGEtODZhZC03MzkwYmY0OTcyOTfYAgHgAgE\&sid=55fb1d8fe95bfabc304b957ddab7406c\&dist=0\&keep\_landing=1\&sb\_price\_type=total\&type=total&", "title": "Hike & Ski-in Ski-out Mountain View Apartment for Family & Friends, Hinterstoder (aktualisierte Preise für 2026)", "name": "Hike & Ski-in Ski-out Mountain View Apartment for Family & Friends", "address": "Hinterstoder 14, 4573 Hinterstoder, Österreich", "description": "Die Unterkunft Hike & Ski-in Ski-out Mountain View Apartment for Family & Friends mit Bergblick befindet sich in Hinterstoder, 11 km von Großer Priel und 48 km von Stift Kremsmünster entfernt. Sie ist 48 km von Stift Admont entfernt gelegen und bietet kostenloses WLAN und einen Geldautomaten.\n\nDiese Ferienwohnung mit Klimaanlage besticht durch Sitzplätze, eine Küche mit einem Kühlschrank und Flachbild-TV. In dieser Ferienwohnung werden Handtücher und Bettwäsche zur Verfügung gestellt.\n\nIn der Umgebung gibt es Möglichkeiten zum Wandern, Skifahren und Fahrradfahren. Die Unterkunft Hike & Ski-in Ski-out Mountain View Apartment for Family & Friends bietet einen direkten Zugang zur Skipiste.\n\nDer nächstgelegene Flughafen ist der Flughafen Linz, 75 km von der Unterkunft Hike & Ski-in Ski-out Mountain View Apartment for Family & Friends entfernt. Die Unterkunft bietet einen kostenpflichtigen Flughafentransfer.", "pageContent": "...", "latitude": 47.7000598, "longitude": 14.1558502 } ] ```` The pageContent field can be used as context for AI models. # Actor input Schema ## `propertyUrl` (type: `string`): URL of property to scrape. ## Actor input object example ```json {} ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("f4bz3/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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("f4bz3/booking-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call f4bz3/booking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=f4bz3/booking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Property Scraper", "description": "This web scraping tool allows you to extract property data from Booking.com", "version": "0.0", "x-build-id": "cbf0UW7lV2tmC8kqx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/f4bz3~booking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-f4bz3-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/f4bz3~booking-scraper/runs": { "post": { "operationId": "runs-sync-f4bz3-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/f4bz3~booking-scraper/run-sync": { "post": { "operationId": "run-sync-f4bz3-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": { "propertyUrl": { "title": "Property URL", "type": "string", "description": "URL of property to scrape." } } }, "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 } } } } } } } } } } ```