# Hotels.com Hotels Scraper (`rupom888/hotels-com-scraper`) Actor - **URL**: https://apify.com/rupom888/hotels-com-scraper.md - **Developed by:** [Syed Rupom](https://apify.com/rupom888) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Hotels.com Hotels Scraper Scrape hotel listings from Hotels.com with amenity filters, guest ratings, nightly prices, and direct booking URLs. ### What it does - Searches Hotels.com for hotels in any US city/region - Applies amenity filters (hot tub, pool, gym, parking, breakfast, spa, and more) - Returns guest ratings, nightly prices, and direct Hotels.com URLs - Handles bot detection automatically with IP rotation ### Features | Feature | Details | |---------|---------| | **Amenity filter** | Hot tub, pool, indoor pool, gym, parking, free parking, pet-friendly, restaurant, breakfast included, spa, free WiFi, airport shuttle, kitchen | | **Guest ratings** | 10-point scale (e.g. 8.6 "Excellent") | | **Pricing** | Date-specific nightly prices for your check-in/check-out dates | | **Results** | 60–90 hotels per city | ### Output fields ```json { "hotel_id": "3936", "name": "Holiday Inn Express Atlanta Airport", "guest_rating": 8.2, "review_count": 1843, "nightly_price": 106, "property_url": "https://www.hotels.com/ho3936/...", "city": "Atlanta", "amenities": ["Pool", "Free WiFi"], "check_in": "2026-08-01", "check_out": "2026-08-03", "location_searched": "Atlanta, Georgia" } ```` ### Input | Field | Type | Description | |-------|------|-------------| | `location` | string\[] | City names, e.g. `["Atlanta, Georgia", "Miami, Florida"]` | | `checkIn` | string | Check-in date: `YYYY-MM-DD` | | `checkOut` | string | Check-out date: `YYYY-MM-DD` | | `resultsWanted` | number | Max hotels per location (default: 50) | | `amenities` | string\[] | Filter: `hot_tub`, `pool`, `gym`, `parking`, `breakfast`, `spa`, `pet_friendly`, `wifi`, `airport_shuttle` | | `sort` | string | `RECOMMENDED`, `PRICE_LOW_TO_HIGH`, `PRICE_HIGH_TO_LOW`, `GUEST_RATING` | | `rooms` | number | Number of rooms (default: 1) | | `adults` | number | Adults per room (default: 2) | | `proxyConfiguration` | object | Residential US proxy (required) | ### Example ```json { "location": ["Atlanta, Georgia"], "checkIn": "2026-08-01", "checkOut": "2026-08-03", "amenities": ["hot_tub"], "resultsWanted": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ``` ### Proxy requirement Requires **Residential proxy** to bypass Hotels.com's bot detection. Apify Starter plan ($29/month) includes residential proxies at $8/GB. ### Notes - Hotels.com uses a 10-point guest rating system (same as Expedia — shared infrastructure) - Results represent the first page of Hotels.com search results - Run time: 20–90 seconds per location # Actor input Schema ## `location` (type: `array`): City/region names to search. E.g. \['Atlanta, Georgia', 'Miami, Florida'] ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. ## `resultsWanted` (type: `integer`): Max hotels per location. ## `amenities` (type: `array`): Filter by amenities: hot\_tub, pool, gym, parking, pet\_friendly, restaurant, breakfast, spa, wifi, airport\_shuttle, kitchen. ## `sort` (type: `string`): Sort hotels by. ## `rooms` (type: `integer`): Number of rooms. ## `adults` (type: `integer`): Number of adults per room. ## `proxyConfiguration` (type: `object`): Residential US proxy strongly recommended to avoid bot detection. ## Actor input object example ```json { "location": [ "Atlanta, Georgia" ], "checkIn": "2026-08-01", "checkOut": "2026-08-03", "resultsWanted": 200, "amenities": [ "hot_tub" ], "sort": "RECOMMENDED", "rooms": 1, "adults": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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": [ "Atlanta, Georgia" ], "checkIn": "2026-08-01", "checkOut": "2026-08-03", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("rupom888/hotels-com-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": ["Atlanta, Georgia"], "checkIn": "2026-08-01", "checkOut": "2026-08-03", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("rupom888/hotels-com-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": [ "Atlanta, Georgia" ], "checkIn": "2026-08-01", "checkOut": "2026-08-03", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call rupom888/hotels-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rupom888/hotels-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotels.com Hotels Scraper", "version": "0.1", "x-build-id": "Pm8WzzCK0xkBWkL5D" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rupom888~hotels-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rupom888-hotels-com-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/rupom888~hotels-com-scraper/runs": { "post": { "operationId": "runs-sync-rupom888-hotels-com-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/rupom888~hotels-com-scraper/run-sync": { "post": { "operationId": "run-sync-rupom888-hotels-com-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "location", "checkIn", "checkOut" ], "properties": { "location": { "title": "Location(s)", "type": "array", "description": "City/region names to search. E.g. ['Atlanta, Georgia', 'Miami, Florida']", "items": { "type": "string" } }, "checkIn": { "title": "Check-in Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Check-in date in YYYY-MM-DD format." }, "checkOut": { "title": "Check-out Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Check-out date in YYYY-MM-DD format." }, "resultsWanted": { "title": "Results Wanted", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Max hotels per location.", "default": 200 }, "amenities": { "title": "Amenity Filters", "type": "array", "description": "Filter by amenities: hot_tub, pool, gym, parking, pet_friendly, restaurant, breakfast, spa, wifi, airport_shuttle, kitchen.", "items": { "type": "string" } }, "sort": { "title": "Sort Order", "enum": [ "RECOMMENDED", "PRICE_LOW_TO_HIGH", "PRICE_HIGH_TO_LOW", "GUEST_RATING" ], "type": "string", "description": "Sort hotels by.", "default": "RECOMMENDED" }, "rooms": { "title": "Rooms", "minimum": 1, "maximum": 8, "type": "integer", "description": "Number of rooms.", "default": 1 }, "adults": { "title": "Adults per Room", "minimum": 1, "maximum": 6, "type": "integer", "description": "Number of adults per room.", "default": 2 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential US proxy strongly recommended to avoid bot detection." } } }, "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 } } } } } } } } } } ```