# Booking Hotel Search Review Scraper (`techionik9993/booking-hotel-search-review-scraper`) Actor Scrape Booking.com search and hotel detail rows with strict output caps. Max hotels is an upper limit, not a guaranteed count; output depends on rows Booking exposes on the loaded page. - **URL**: https://apify.com/techionik9993/booking-hotel-search-review-scraper.md - **Developed by:** [Techionik](https://apify.com/techionik9993) (community) - **Categories:** Travel, Lead generation, Automation - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 hotel, review, or change rows 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 ## Booking Hotel Search & Review Scraper ![Booking Hotel Search & Review Scraper hero](./assets/hero.svg) Scrape Booking.com hotel search results, hotel detail pages, and review summaries with a browser-first workflow that is built for premium store positioning. ![Booking icon](./assets/icon.svg) ### What You Get - Hotel name - Hotel URL - Search location or property location - Price and visible price text when available - Review score and review count - Hotel image - Review snippet rows when available - Change events when monitoring is enabled ### Why This Actor Is Premium - It uses a real browser so it can handle Booking.com challenge pages instead of pretending the site is open. - It keeps the output predictable by capping hotel rows and review rows per input. - It stores monitoring snapshots in a named key-value store so scheduled runs can compare results cleanly. - It avoids noisy billing by only writing useful dataset rows. ### Quick Start 1. Add one or more search queries such as `London` or `Paris hotels`. 2. Optionally add direct Booking.com hotel URLs if you want review-page extraction too. 3. Set your trip dates, adults, rooms, and currency if you want search pages to match a real trip. 4. Keep proxy mode on `No proxy` for the lowest cost. Switch to `Auto fallback to datacenter` only if Booking blocks your run. 5. Turn on `Monitor changes since last run` if you want price, score, and review-count tracking. ### Search Mode Search mode is ideal for market scans and deal monitoring. The Actor opens Booking.com search pages and extracts: - hotel rows - visible prices - review scores - review counts - image URLs - badges when present ### Result Limits `Max hotels per search` is an upper cap, not a guaranteed count. The Actor extracts hotel rows that Booking.com exposes on the loaded search page. - One search may return fewer rows than the requested maximum. - The Actor does not currently deep-paginate through every Booking.com result page. - The Actor never writes more than `Max hotels per search`. - Users are charged only for rows written to the default dataset. Cloud benchmarks: - `Lahore`, `Max hotels per search: 100` produced 51 hotel rows. - `London`, `Max hotels per search: 100` produced 59 hotel rows. - `New York`, `Max hotels per search: 200` produced 57 hotel rows. ### Review Mode If you provide direct Booking.com hotel URLs, the Actor also extracts hotel detail data and review snippet rows when they are visible on the page. That gives you: - property summary rows - review snippet rows - review author fields when Booking exposes them - review text when available ### Monitoring And Billing Booking monitoring works by saving a snapshot of each search query or hotel URL in a named key-value store. - First monitoring run creates the baseline only. - Later runs compare prices, review scores, and review counts. - `Output only the changes` writes just the change events. - The default dataset only receives rows you can use. - Internal notices and empty runs are stored outside the paid dataset. ### Proxy Strategy Booking.com is protected, so the Actor includes a cost-aware proxy strategy. - `No proxy` is the cheapest option and the default. - `Auto fallback to datacenter` tries direct access first, then retries with Apify datacenter proxy if Booking blocks the page. - `Datacenter proxy` is a stronger option when Booking blocks direct access. - `Residential proxy` is the most expensive and should be used only when needed. For best economics and fair billing, each search has a 50-row minimum. Larger capped runs are more cost efficient per result because the browser startup cost is spread across more hotel rows. ### Notes - Results depend on what Booking.com exposes publicly on the loaded page for the selected query, dates, and region. - Some hotel pages show review snippets, while others only expose the summary score and review count. - If Booking changes its markup, the browser-based approach and structured-data fallbacks keep the Actor much more resilient than a one-selector scraper. # 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. The Actor extracts the hotel rows Booking exposes on the loaded search page. Minimum is 50 so browser startup costs stay fair and predictable. ## `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": 50, "maxReviewRowsPerHotel": 10, "monitorChanges": false, "onlyChanges": false, "proxyMode": "none", "proxyCountryCode": "", "includeReviewSnippets": true, "maxRunMinutes": 8, "maxSourceSeconds": 150 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("techionik9993/booking-hotel-search-review-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("techionik9993/booking-hotel-search-review-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 techionik9993/booking-hotel-search-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techionik9993/booking-hotel-search-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Hotel Search Review Scraper", "description": "Scrape Booking.com search and hotel detail rows with strict output caps. Max hotels is an upper limit, not a guaranteed count; output depends on rows Booking exposes on the loaded page.", "version": "0.0", "x-build-id": "MjKXfDNFQ3T3GgRSJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techionik9993~booking-hotel-search-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techionik9993-booking-hotel-search-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techionik9993~booking-hotel-search-review-scraper/runs": { "post": { "operationId": "runs-sync-techionik9993-booking-hotel-search-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techionik9993~booking-hotel-search-review-scraper/run-sync": { "post": { "operationId": "run-sync-techionik9993-booking-hotel-search-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "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": 50, "type": "integer", "description": "Maximum hotel rows to write for each search query. This is an upper cap, not a guaranteed count. The Actor extracts the hotel rows Booking exposes on the loaded search page. Minimum is 50 so browser startup costs stay fair and predictable.", "default": 50 }, "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": 8 }, "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": 150 } } }, "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 } } } } } } } } } } ```