# Booking.com Hotel Scraper - Prices, Reviews & Availability (`fascinating_lentil/booking-com-hotel-scraper`) Actor Collect public Booking.com hotel and accommodation listing data including prices, ratings, review counts, cancellation options, amenities, and property URLs. - **URL**: https://apify.com/fascinating\_lentil/booking-com-hotel-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Travel, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 hotel scrapeds 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 - Prices, Reviews & Availability Scrape Booking.com hotel and accommodation search results for travel market research, price monitoring, and competitor analysis. The actor searches one or more destinations for a date range, extracts clean property records, deduplicates by Booking.com property ID, and saves the results to an Apify Dataset. Export to JSON, CSV, Excel, or HTML, or pull via the Apify API — no login and no API key required. Each clean hotel record is charged with the `hotel-scraped` pay-per-event event after it is saved. The actor skips incomplete cards that do not expose a property name and Booking.com hotel URL, so the dataset avoids empty placeholder rows. ### Features - Multiple destinations in one run - Check-in and check-out date search - Adults, rooms, currency, review score, and property type inputs - Pagination up to 500 properties per destination - Residential proxy support for Apify cloud runs - Random delays, session pool, and retry handling - Null fallbacks for fields that Booking.com does not expose on every search card ### Data Extracted | Field | Description | | --- | --- | | `propertyId` | Booking.com hotel slug or property ID | | `hotelName` | Property name | | `propertyType` | Hotel, apartment, hostel, villa, resort, B&B, or guest house when exposed | | `starRating` | Star rating when exposed | | `guestReviewScore` | Guest review score from 0 to 10 | | `reviewCount` | Number of reviews | | `totalPrice` | Total stay price for the searched dates | | `pricePerNight` | Calculated or exposed nightly price | | `originalPrice` | Original price before discount when exposed | | `discountPercentage` | Discount percentage when calculable | | `currency` | Requested currency | | `breakfastIncluded` | Breakfast signal from the card | | `freeCancellation` | Free cancellation signal from the card | | `roomsAvailable` | Rooms available when exposed | | `amenities` | Amenities/facilities exposed on the card | | `city` / `country` | Parsed from destination input | | `distanceFromCityCenter` | Distance text from Booking.com | | `address` | Address when exposed | | `propertyUrl` | Clean direct Booking.com hotel URL | | `thumbnailImageUrl` | Property thumbnail image URL | | `latitude` / `longitude` | Coordinates when exposed | | `sustainabilityBadge` | Sustainability badge signal | | `geniusDiscount` | Genius discount signal | | `scrapedAt` | ISO timestamp | ### Use Cases 1. Hotel price monitoring across cities and dates 2. Travel app and comparison-site data enrichment 3. Hospitality competitor research 4. Market research by review score, price, and destination 5. Accommodation data collection for travel market research ### How to Scrape Booking.com Hotels (Step by Step) 1. Click **Try for free** / **Run**. 2. Enter one or more `destinations` (e.g. `Paris, France`) and your `checkIn` / `checkOut` dates. 3. Set `adults`, `rooms`, `currency`, and `maxResults` (start small to test). 4. Optionally filter by `propertyTypes` and `minReviewScore`, then click **Run**. 5. When the run finishes, export results to JSON, CSV, Excel, or HTML, or pull them via the Apify API. ### Sample Output ```json { "propertyId": "monsieur-george-amp-spa-champs-elysees", "hotelName": "Monsieur George Hotel & Spa - Champs-Elysees", "propertyType": null, "starRating": null, "guestReviewScore": 9, "reviewCount": 882, "reviewCategories": { "location": 8, "cleanliness": null, "comfort": null, "facilities": null }, "city": "Paris", "country": "France", "distanceFromCityCenter": "4 km from downtown", "totalPrice": 1078, "pricePerNight": 539, "currency": "USD", "breakfastIncluded": false, "freeCancellation": false, "propertyUrl": "https://www.booking.com/hotel/fr/monsieur-george-amp-spa-champs-elysees.html", "thumbnailImageUrl": "https://cf.bstatic.com/xdata/images/hotel/square240/example.webp", "destination": "Paris, France", "scrapedAt": "2026-06-11T15:48:29.877Z" } ```` ### Input Example ```json { "destinations": ["Paris, France"], "checkIn": "2026-07-01", "checkOut": "2026-07-03", "adults": 2, "rooms": 1, "propertyTypes": ["Hotels", "Apartments"], "minReviewScore": 7, "maxResults": 50, "currency": "USD", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Pricing | Event | Price | | --- | --- | | `hotel-scraped` | $0.003 per clean hotel record | | 1,000 hotels | $3.00 | | 10,000 hotels | $30.00 | ### Technical Details - Runtime: Node.js 20 on `apify/actor-node-playwright-chrome:20` - Scraping engine: Crawlee PlaywrightCrawler - Proxy: Apify residential proxy recommended for cloud runs - Retry policy: 3 retries with blocked-request retry handling - Storage: Apify Dataset - Charge model: `Actor.charge({ eventName: "hotel-scraped" })` ### Notes - Booking.com can vary card fields by market, destination, availability, and experiment. Unavailable fields are returned as `null`. - The default Apify table view focuses on populated search-result fields and hides optional columns that are often unavailable on Booking.com cards. Raw JSON still includes those fields. - This actor collects search result card data, not every detail available on individual hotel detail pages. - Data is for research and business intelligence, not booking, legal, or financial advice. ### Responsible Use This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations. Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users. # Actor input Schema ## `destinations` (type: `array`): List of destinations to search, e.g. Paris, France or London, United Kingdom. ## `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 adults per room. ## `rooms` (type: `integer`): Number of rooms to search for. ## `propertyTypes` (type: `array`): Optional property type filters. Allowed values: Hotels, Apartments, Hostels, Villas, Resorts, B\&Bs, Guest houses. Leave empty for all accommodation types. ## `minReviewScore` (type: `number`): Only include properties with a guest review score at or above this threshold. ## `maxResults` (type: `integer`): Maximum number of properties to scrape per destination, up to 500. ## `currency` (type: `string`): Display currency for prices. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Residential proxy is recommended on Apify. ## Actor input object example ```json { "destinations": [ "Paris, France" ], "checkIn": "2026-07-01", "checkOut": "2026-07-03", "adults": 2, "rooms": 1, "propertyTypes": [], "minReviewScore": 0, "maxResults": 50, "currency": "USD", "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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/booking-com-hotel-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("fascinating_lentil/booking-com-hotel-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 fascinating_lentil/booking-com-hotel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/booking-com-hotel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotel Scraper - Prices, Reviews & Availability", "description": "Collect public Booking.com hotel and accommodation listing data including prices, ratings, review counts, cancellation options, amenities, and property URLs.", "version": "1.0", "x-build-id": "ekOUKLV5tdw6S0AUB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~booking-com-hotel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-booking-com-hotel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~booking-com-hotel-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-booking-com-hotel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~booking-com-hotel-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-booking-com-hotel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "checkIn", "checkOut" ], "properties": { "destinations": { "title": "Destinations", "minItems": 1, "maxItems": 50, "type": "array", "description": "List of destinations to search, e.g. Paris, France or London, United Kingdom.", "default": [ "Paris, France" ], "items": { "type": "string" } }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format.", "default": "2026-07-01" }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format.", "default": "2026-07-03" }, "adults": { "title": "Number of Adults", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adults per room.", "default": 2 }, "rooms": { "title": "Number of Rooms", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of rooms to search for.", "default": 1 }, "propertyTypes": { "title": "Property Type Filters", "type": "array", "description": "Optional property type filters. Allowed values: Hotels, Apartments, Hostels, Villas, Resorts, B&Bs, Guest houses. Leave empty for all accommodation types.", "items": { "type": "string" }, "default": [] }, "minReviewScore": { "title": "Minimum Review Score", "minimum": 0, "maximum": 10, "type": "number", "description": "Only include properties with a guest review score at or above this threshold.", "default": 0 }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of properties to scrape per destination, up to 500.", "default": 50 }, "currency": { "title": "Currency", "enum": [ "USD", "EUR", "GBP", "JPY", "CAD", "AUD", "CHF", "CNY", "INR", "BRL", "MXN", "SEK", "NOK", "DKK", "NZD", "KRW", "SGD", "MYR", "THB", "TRY" ], "type": "string", "description": "Display currency for prices.", "default": "USD" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Residential proxy is recommended on Apify.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```