# Hotel Price Comparison Scraper (`jungle_synthesizer/hotel-price-comparison-scraper`) Actor Compare hotel prices across Booking.com, Expedia, Hotels.com, and Priceline from a single search. Collect nightly rates, guest ratings, star ratings, amenities, and photos for any destination. Perfect for travel market research and rate intelligence. - **URL**: https://apify.com/jungle\_synthesizer/hotel-price-comparison-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Travel, Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Hotel Price Comparison Scraper Compare hotel prices across Booking.com, Expedia, Hotels.com, and Priceline from a single search. Collect nightly rates, guest ratings, star ratings, amenities, and photos for any destination. Perfect for travel market research and rate intelligence. ### What It Does This actor searches multiple online travel agencies (OTAs) simultaneously for hotels matching your destination and dates. It returns structured data including prices, ratings, amenities, and images — without requiring any account credentials. Supported sources: - **Booking.com** — nightly rates, review scores, star ratings, amenities, photos - **Expedia** — nightly rates, guest ratings, property details - **Hotels.com** — nightly rates, guest ratings, star ratings - **Priceline** — nightly rates, guest ratings ### Use Cases - **Travel price monitoring** — track rate changes across OTAs for specific destinations and dates - **Market research** — benchmark competitive pricing for hospitality businesses - **Rate intelligence** — identify price gaps between platforms for arbitrage or travel planning - **Lead generation** — build datasets of properties with pricing and contact details ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `destination` | string | Yes | City, region, or address. Example: `New York, NY` | | `checkIn` | string | Yes | Check-in date in `YYYY-MM-DD` format | | `checkOut` | string | Yes | Check-out date in `YYYY-MM-DD` format. Must be after check-in | | `adults` | integer | No | Number of adult guests per room (default: 2) | | `rooms` | integer | No | Number of rooms (default: 1) | | `sources` | array | No | OTA sources to search: `booking.com`, `expedia.com`, `hotels.com`, `priceline.com`. Leave empty to search all | | `maxItems` | integer | No | Maximum hotel records to collect across all sources (default: 15) | #### Example Input ```json { "destination": "Paris, France", "checkIn": "2026-09-15", "checkOut": "2026-09-18", "adults": 2, "rooms": 1, "sources": ["booking.com", "expedia.com"], "maxItems": 20 } ```` ### Output Each item in the dataset represents one hotel listing from one OTA. The same physical hotel may appear multiple times if found on multiple sources — this is by design and enables cross-OTA price comparison. | Field | Type | Description | |-------|------|-------------| | `hotel_name` | string | Hotel name as shown on the OTA listing | | `hotel_url` | string | Direct URL to the hotel listing | | `source` | string | Source OTA (e.g., `booking.com`) | | `destination` | string | Search destination as provided | | `check_in` | string | Check-in date (YYYY-MM-DD) | | `check_out` | string | Check-out date (YYYY-MM-DD) | | `price_per_night` | number | Nightly rate in reported currency. Null if not displayed | | `price_currency` | string | Currency code (e.g., `USD`) | | `total_price` | number | Total stay price if available. Null if not shown | | `review_score` | number | Guest review score on a 0–10 scale. Null if not shown | | `review_count` | integer | Number of guest reviews. Null if not shown | | `star_rating` | number | Official star rating (1–5). Null if not shown | | `amenities` | string | Comma-separated list of highlighted amenities | | `image_url` | string | URL of the hotel's primary listing image | | `address` | string | Hotel address or neighborhood (if available) | | `scraped_at` | string | ISO 8601 timestamp of when this record was scraped | #### Example Output ```json { "hotel_name": "The Manhattan Hotel", "hotel_url": "https://www.booking.com/hotel/us/the-manhattan.html", "source": "booking.com", "destination": "New York, NY", "check_in": "2026-08-01", "check_out": "2026-08-02", "price_per_night": 189.00, "price_currency": "USD", "total_price": 189.00, "review_score": 8.4, "review_count": 1243, "star_rating": 4, "amenities": "Free WiFi, Air conditioning, Non-smoking rooms", "image_url": "https://cf.bstatic.com/images/hotel/max1024x768/...", "address": "Midtown Manhattan", "scraped_at": "2026-08-01T12:34:56.789Z" } ``` ### Notes - **Anti-bot protections**: OTAs employ aggressive bot detection. This actor uses residential proxies to maximize success rates, and is classified as a high-complexity scraper (compatibility tier 2). - **Dynamic pricing**: Hotel prices change frequently. Results reflect pricing at the time of the run. - **Source availability**: Not all hotels appear on all OTAs. Comparing multiple sources gives broader coverage. - **Date sensitivity**: Prices vary significantly by date, season, and how far in advance you book. Run the actor with your exact travel dates for accurate data. - **Currency**: Prices are returned in the currency displayed by the OTA, which depends on your proxy's exit country (defaults to US). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `destination` (type: `string`): Hotel search destination (city, region, or address). Example: 'New York, NY' or 'Paris, France' ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. Example: '2026-07-01' ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. Must be after check-in. Example: '2026-07-02' ## `adults` (type: `integer`): Number of adult guests per room. ## `rooms` (type: `integer`): Number of rooms to book. ## `sources` (type: `array`): List of OTA sources to search. Supported: booking.com, expedia.com, hotels.com, priceline.com. Leave empty to search all. ## `maxItems` (type: `integer`): Maximum number of hotel records to collect across all sources. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "New York, NY", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "sources": [ "booking.com", "expedia.com", "hotels.com" ], "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "New York, NY", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "sources": [ "booking.com", "expedia.com", "hotels.com" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/hotel-price-comparison-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "New York, NY", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "sources": [ "booking.com", "expedia.com", "hotels.com", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/hotel-price-comparison-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "destination": "New York, NY", "checkIn": "2026-08-01", "checkOut": "2026-08-02", "adults": 2, "rooms": 1, "sources": [ "booking.com", "expedia.com", "hotels.com" ], "maxItems": 10 }' | apify call jungle_synthesizer/hotel-price-comparison-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/hotel-price-comparison-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotel Price Comparison Scraper", "description": "Compare hotel prices across Booking.com, Expedia, Hotels.com, and Priceline from a single search. Collect nightly rates, guest ratings, star ratings, amenities, and photos for any destination. Perfect for travel market research and rate intelligence.", "version": "0.1", "x-build-id": "03IfwOyS1yoqBNvke" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~hotel-price-comparison-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-hotel-price-comparison-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/jungle_synthesizer~hotel-price-comparison-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-hotel-price-comparison-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/jungle_synthesizer~hotel-price-comparison-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-hotel-price-comparison-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": [ "destination", "checkIn", "checkOut" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "destination": { "title": "Destination", "type": "string", "description": "Hotel search destination (city, region, or address). Example: 'New York, NY' or 'Paris, France'" }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format. Example: '2026-07-01'" }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format. Must be after check-in. Example: '2026-07-02'" }, "adults": { "title": "Number of Adults", "type": "integer", "description": "Number of adult guests per room.", "default": 2 }, "rooms": { "title": "Number of Rooms", "type": "integer", "description": "Number of rooms to book.", "default": 1 }, "sources": { "title": "Sources to Scrape", "type": "array", "description": "List of OTA sources to search. Supported: booking.com, expedia.com, hotels.com, priceline.com. Leave empty to search all.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of hotel records to collect across all sources.", "default": 15 } } }, "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 } } } } } } } } } } ```