# Booking.com Hotel Review & Price Scraper (`glowing_glove/booking-hotel-review-intelligence`) Actor Collect Booking.com hotel search results, visible prices, review scores, review counts, images, and review snippets. - **URL**: https://apify.com/glowing\_glove/booking-hotel-review-intelligence.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $6.00 / 1,000 hotel results 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 Review & Price Scraper Collect Booking.com hotel search results, visible prices, review scores, review counts, images, and review snippets. This actor is prepared for clean exports, predictable limits, and scheduled workflows. It focuses on useful rows instead of noisy scrape artifacts. ### What You Get - hotel names, URLs, locations, prices, review scores, review counts, and images - review snippets and property rows when visible on public hotel pages - optional change rows for scheduled price, score, and review-count monitoring ### Best For - lead generation, research, monitoring, enrichment, and reporting workflows - exporting clean rows to CSV, Excel, JSON, APIs, CRMs, or automation tools - scheduled runs where predictable output and clear result limits matter ### How To Use 1. Add the public URLs, keywords, locations, handles, or settings required by the input form. 2. Set the result limit to match the number of rows you want to pay for. 3. Run the actor once for a sample, then schedule it if you need monitoring. 4. Export the dataset or connect it to your workflow through the Apify API or integrations. ### Output The default dataset returns structured rows using the fields listed above. Empty, blocked, or failed targets are handled clearly so downstream tools can filter results without guessing. ### Notes - Works with public data that the target website exposes during the run. - Uses result caps and error handling to avoid runaway runs. - Private, login-only, or heavily blocked pages may return fewer rows than requested. # Actor input Schema ## `searchQueries` (type: `array`): Booking.com search terms or destinations. Examples: London, Paris hotels, Barcelona airport. ## `hotelUrls` (type: `array`): Direct Booking.com hotel URLs to scrape hotel details and review summaries. ## `checkIn` (type: `string`): Optional check-in date in YYYY-MM-DD format. Leave empty to use Booking.com defaults. ## `checkOut` (type: `string`): Optional check-out date in YYYY-MM-DD format. Leave empty to use Booking.com defaults. ## `adults` (type: `integer`): Number of adults for each search. Keep this aligned with the trip you want to compare. ## `rooms` (type: `integer`): Number of rooms for each search. ## `children` (type: `integer`): Number of children included in each search. ## `childrenAges` (type: `array`): Optional ages for each child. Leave empty if there are no children. ## `currency` (type: `string`): Currency code used in Booking.com search URLs, for example USD, GBP, or EUR. ## `language` (type: `string`): Booking.com language path segment used when opening pages. The default uses English UK formatting. ## `maxHotelsPerSearch` (type: `integer`): Maximum hotel rows to write for each search query. This is an upper cap, not a guaranteed count. Keep the default low for fast automated checks; increase it for paid market research runs. ## `maxReviewRowsPerHotel` (type: `integer`): Maximum review rows to write for each hotel page when review snippets are available. Use 0 to skip review rows. ## `monitorChanges` (type: `boolean`): Save snapshots in a named key-value store and compare hotel price, score, and review count across runs. ## `onlyChanges` (type: `boolean`): When monitoring is enabled, output change events instead of normal hotel rows. ## `proxyMode` (type: `string`): Use no proxy for the lowest cost. Choose Auto or proxy modes only if Booking.com blocks direct access. ## `proxyCountryCode` (type: `string`): Optional two-letter country code for residential proxy, for example US or GB. Used only when Proxy mode is Residential. ## `includeReviewSnippets` (type: `boolean`): Include review text rows where they can be collected from the hotel page. Turn off for smaller outputs. ## `maxRunMinutes` (type: `integer`): Cost protection timeout for the whole run. The Actor stops early instead of waiting forever on blocked or slow Booking pages. ## `maxSourceSeconds` (type: `integer`): Cost protection timeout per Booking search query or hotel URL. Lower values reduce runtime/proxy cost; higher values may help on slow pages. ## Actor input object example ```json { "searchQueries": [ "London", "Paris hotels" ], "hotelUrls": [ "https://www.booking.com/hotel/gb/example.en-gb.html" ], "checkIn": "", "checkOut": "", "adults": 2, "rooms": 1, "children": 0, "childrenAges": [], "currency": "USD", "language": "en-gb", "maxHotelsPerSearch": 10, "maxReviewRowsPerHotel": 10, "monitorChanges": false, "onlyChanges": false, "proxyMode": "none", "proxyCountryCode": "", "includeReviewSnippets": true, "maxRunMinutes": 4, "maxSourceSeconds": 90 } ```` # Actor output Schema ## `results` (type: `string`): Normal runs contain hotel rows or review rows. When Output only the changes is enabled, rows contain change events. # 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 = { "searchQueries": [ "London" ], "hotelUrls": [], "checkIn": "", "checkOut": "", "adults": 2, "rooms": 1, "children": 0, "childrenAges": [], "currency": "USD", "language": "en-gb", "maxHotelsPerSearch": 10, "maxReviewRowsPerHotel": 10, "monitorChanges": false, "onlyChanges": false, "proxyMode": "none", "proxyCountryCode": "", "includeReviewSnippets": true, "maxRunMinutes": 4, "maxSourceSeconds": 90 }; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/booking-hotel-review-intelligence").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 = { "searchQueries": ["London"], "hotelUrls": [], "checkIn": "", "checkOut": "", "adults": 2, "rooms": 1, "children": 0, "childrenAges": [], "currency": "USD", "language": "en-gb", "maxHotelsPerSearch": 10, "maxReviewRowsPerHotel": 10, "monitorChanges": False, "onlyChanges": False, "proxyMode": "none", "proxyCountryCode": "", "includeReviewSnippets": True, "maxRunMinutes": 4, "maxSourceSeconds": 90, } # Run the Actor and wait for it to finish run = client.actor("glowing_glove/booking-hotel-review-intelligence").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 '{ "searchQueries": [ "London" ], "hotelUrls": [], "checkIn": "", "checkOut": "", "adults": 2, "rooms": 1, "children": 0, "childrenAges": [], "currency": "USD", "language": "en-gb", "maxHotelsPerSearch": 10, "maxReviewRowsPerHotel": 10, "monitorChanges": false, "onlyChanges": false, "proxyMode": "none", "proxyCountryCode": "", "includeReviewSnippets": true, "maxRunMinutes": 4, "maxSourceSeconds": 90 }' | apify call glowing_glove/booking-hotel-review-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/booking-hotel-review-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotel Review & Price Scraper", "description": "Collect Booking.com hotel search results, visible prices, review scores, review counts, images, and review snippets.", "version": "0.0", "x-build-id": "swzlro4DKEh4nm7o8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~booking-hotel-review-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-booking-hotel-review-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~booking-hotel-review-intelligence/runs": { "post": { "operationId": "runs-sync-glowing_glove-booking-hotel-review-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~booking-hotel-review-intelligence/run-sync": { "post": { "operationId": "run-sync-glowing_glove-booking-hotel-review-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Booking.com search terms or destinations. Examples: London, Paris hotels, Barcelona airport.", "default": [ "London" ], "items": { "type": "string" } }, "hotelUrls": { "title": "Hotel URLs", "type": "array", "description": "Direct Booking.com hotel URLs to scrape hotel details and review summaries.", "default": [], "items": { "type": "string" } }, "checkIn": { "title": "Check-in date", "type": "string", "description": "Optional check-in date in YYYY-MM-DD format. Leave empty to use Booking.com defaults.", "default": "" }, "checkOut": { "title": "Check-out date", "type": "string", "description": "Optional check-out date in YYYY-MM-DD format. Leave empty to use Booking.com defaults.", "default": "" }, "adults": { "title": "Adults", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of adults for each search. Keep this aligned with the trip you want to compare.", "default": 2 }, "rooms": { "title": "Rooms", "minimum": 1, "maximum": 30, "type": "integer", "description": "Number of rooms for each search.", "default": 1 }, "children": { "title": "Children", "minimum": 0, "maximum": 30, "type": "integer", "description": "Number of children included in each search.", "default": 0 }, "childrenAges": { "title": "Children ages", "type": "array", "description": "Optional ages for each child. Leave empty if there are no children.", "default": [], "items": { "type": "string" } }, "currency": { "title": "Currency", "type": "string", "description": "Currency code used in Booking.com search URLs, for example USD, GBP, or EUR.", "default": "USD" }, "language": { "title": "Language", "type": "string", "description": "Booking.com language path segment used when opening pages. The default uses English UK formatting.", "default": "en-gb" }, "maxHotelsPerSearch": { "title": "Max hotels per search", "minimum": 1, "type": "integer", "description": "Maximum hotel rows to write for each search query. This is an upper cap, not a guaranteed count. Keep the default low for fast automated checks; increase it for paid market research runs.", "default": 10 }, "maxReviewRowsPerHotel": { "title": "Max review rows per hotel", "minimum": 0, "type": "integer", "description": "Maximum review rows to write for each hotel page when review snippets are available. Use 0 to skip review rows.", "default": 10 }, "monitorChanges": { "title": "Monitor changes since last run", "type": "boolean", "description": "Save snapshots in a named key-value store and compare hotel price, score, and review count across runs.", "default": false }, "onlyChanges": { "title": "Output only the changes", "type": "boolean", "description": "When monitoring is enabled, output change events instead of normal hotel rows.", "default": false }, "proxyMode": { "title": "Proxy mode", "enum": [ "none", "auto", "datacenter", "residential" ], "type": "string", "description": "Use no proxy for the lowest cost. Choose Auto or proxy modes only if Booking.com blocks direct access.", "default": "none" }, "proxyCountryCode": { "title": "Residential proxy country", "type": "string", "description": "Optional two-letter country code for residential proxy, for example US or GB. Used only when Proxy mode is Residential.", "default": "" }, "includeReviewSnippets": { "title": "Include review snippets", "type": "boolean", "description": "Include review text rows where they can be collected from the hotel page. Turn off for smaller outputs.", "default": true }, "maxRunMinutes": { "title": "Max run minutes", "minimum": 1, "maximum": 10, "type": "integer", "description": "Cost protection timeout for the whole run. The Actor stops early instead of waiting forever on blocked or slow Booking pages.", "default": 4 }, "maxSourceSeconds": { "title": "Max seconds per search or hotel URL", "minimum": 45, "maximum": 240, "type": "integer", "description": "Cost protection timeout per Booking search query or hotel URL. Lower values reduce runtime/proxy cost; higher values may help on slow pages.", "default": 90 } } }, "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 } } } } } } } } } } ```