# Booking Reviews Scraper (`daddyapi/booking-reviews-scraper`) Actor Scraper to get reviews from hotels, apartments and other accommodations listed on the Booking.com portal. Extract data using hotel URLs for review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay and more. Download in JSON, HTML, Excel, CSV. - **URL**: https://apify.com/daddyapi/booking-reviews-scraper.md - **Developed by:** [DaddyAPI](https://apify.com/daddyapi) (community) - **Categories:** Travel, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Review Scraper Scraper to get reviews from hotels, apartments and other accommodations listed on the Booking.com portal. Extract data using hotel URLs for review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay and more. Download in JSON, HTML, Excel, CSV. ### Features - Scrape reviews using a Booking.com hotel URL. - Support for extracting positive and negative parts of reviews. - Extracted details include review score, reviewer name, reviewer country, room type, check-in and check-out dates, traveler type (e.g., solo, couple, family), review date, and management response. - Sort reviews by newest, highest score, lowest score, relevance, or oldest. - Filter reviews by language. - Define limits on how many pages of reviews to scrape. ### How to use 1. Provide a **Booking.com hotel URL** in the Input parameters. Make sure it points to a specific property page, not search results. 2. Set the **Max Pages** to control how many reviews you want (each page contains about 10 reviews). 3. Optionally configure the sorting or language filtering. 4. Run the scraper. Wait for it to finish and download your data from the dataset in your preferred format. ### Input Parameters | Field | Description | Type | Default | |-------|-------------|------|---------| | `hotelUrl` | Direct link to the hotel on Booking.com. (Required) | String | - | | `maxPages` | Maximum number of pages of reviews to scrape. (1 page ≈ 10 reviews) | Integer | `1` | | `sortBy` | Sort order (`newest`, `relevance`, `highest`, `lowest`, `oldest`) | Enum | `newest` | | `reviewLanguage` | Filter reviews by language code (`en`, `de`, etc.) or `all` | String | `all` | | `proxyConfiguration` | Proxy settings (Residential proxies recommended) | Object | `{ useApifyProxy: true }` | | `maxRequestsPerCrawl` | Maximum number of requests (safety limit) | Integer | `50` | ### Example Output The actor stores its results in the default dataset. You can download it as JSON, CSV, Excel, HTML, or XML. ```json { "hotelName": "Hotel Ukraine", "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html?aid=304142", "score": 10, "title": null, "positive": "The view of Maidan Square is beautiful", "negative": "russian bombs", "reviewerName": "O'neal", "reviewerCountry": "United States", "reviewerCountryCode": "us", "travelerType": "Solo traveler", "roomType": "Economy Twin Room", "nightsStayed": 1, "checkinDate": "2026-05-30", "checkoutDate": "2026-05-31", "dateOfStay": "May 2026", "reviewDate": "2026-06-10", "reviewLanguage": "en", "helpfulVotes": 0, "managementResponse": "Dear O'Neal Shane,\nThank you for staying with us...", "photos": [] } ```` ### Anti-Bot Protection Booking.com uses sophisticated anti-bot protection (DataDome). This actor uses the internal GraphQL API to fetch reviews, imitating a real browser request. It is highly recommended to use **Residential Proxies** or Apify Proxy with a residential IP if you encounter blocking. The actor passes appropriate headers and CSRF tokens automatically extracted from the initial page request. ### Local Development ```bash ## Run locally apify run ``` # Actor input Schema ## `hotelUrl` (type: `string`): Direct link to the hotel on Booking.com. E.g. https://www.booking.com/hotel/ua/ukraine.html ## `maxPages` (type: `integer`): Maximum number of pages of reviews to scrape (1 page ≈ 10 reviews). ## `sortBy` (type: `string`): How to sort the reviews. ## `reviewLanguage` (type: `string`): Filter reviews by language code (e.g. 'en', 'de', 'es'). Leave as 'all' for all languages. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests the crawler will make. Used as a safety limit. ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection. Residential proxies are recommended. ## Actor input object example ```json { "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html", "maxPages": 1, "sortBy": "newest", "reviewLanguage": "all", "maxRequestsPerCrawl": 50, "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 = { "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html" }; // Run the Actor and wait for it to finish const run = await client.actor("daddyapi/booking-reviews-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 = { "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html" } # Run the Actor and wait for it to finish run = client.actor("daddyapi/booking-reviews-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 '{ "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html" }' | apify call daddyapi/booking-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=daddyapi/booking-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Reviews Scraper", "description": "Scraper to get reviews from hotels, apartments and other accommodations listed on the Booking.com portal. Extract data using hotel URLs for review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay and more. Download in JSON, HTML, Excel, CSV.", "version": "1.0", "x-build-id": "n7i6yj5x51NnnJTBK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/daddyapi~booking-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-daddyapi-booking-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/daddyapi~booking-reviews-scraper/runs": { "post": { "operationId": "runs-sync-daddyapi-booking-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/daddyapi~booking-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-daddyapi-booking-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "hotelUrl" ], "properties": { "hotelUrl": { "title": "Hotel URL", "type": "string", "description": "Direct link to the hotel on Booking.com. E.g. https://www.booking.com/hotel/ua/ukraine.html" }, "maxPages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum number of pages of reviews to scrape (1 page ≈ 10 reviews).", "default": 1 }, "sortBy": { "title": "Sort By", "enum": [ "newest", "relevance", "highest", "lowest", "oldest" ], "type": "string", "description": "How to sort the reviews.", "default": "newest" }, "reviewLanguage": { "title": "Review Language", "type": "string", "description": "Filter reviews by language code (e.g. 'en', 'de', 'es'). Leave as 'all' for all languages.", "default": "all" }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "minimum": 1, "type": "integer", "description": "Maximum number of requests the crawler will make. Used as a safety limit.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for anti-bot protection. Residential proxies are recommended.", "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 } } } } } } } } } } ```