# Booking Reviews $1.5/1k (`crucial_binoculars/booking-reviews-1-5-1k`) Actor Extract verified Booking.com reviews and guest ratings at scale. Get detailed reviewer metadata, scores, and full review text in JSON/CSV. Perfect for hospitality market research and sentiment analysis. Updated for 2026. - **URL**: https://apify.com/crucial\_binoculars/booking-reviews-1-5-1k.md - **Developed by:** [Iliya Musa](https://apify.com/crucial_binoculars) (community) - **Categories:** SEO tools, Travel - **Stats:** 7 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.0005 / actor start 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 Reviews Scraper **Unlock powerful market insights with the most reliable Booking.com reviews scraper.** Extract thousands of verified guest reviews to analyze customer sentiment, monitor competitors, and spot market trends. Designed for scale and accuracy. ### 🚀 Key Features - **Massive Scale**: Capable of extracting 100,000+ reviews in a single run. - **Complete Data**: Get every detail - reviewer name, country, full review text (positive/negative), room type, stay dates, and hotel responses. - **100% Accuracy**: Direct data extraction ensures no missing fields or broken text. - **Global Coverage**: Works with any Booking.com hotel URL worldwide. - **Cost-Effective**: Pay only for the results you get ($1.00 per 1,000 results). ### 📊 What You Get Each result contains comprehensive data for deep analysis: | Field | Description | |-------|-------------| | `reviewer` | Name of the guest | | `country` | Guest's country of origin | | `score` | Numerical rating (1-10) | | `title` | Review title | | `reviewText` | Full review content (combined positive & negative) | | `positive` | Specific "What I liked" text | | `negative` | Specific "What I didn't like" text | | `stayDates` | Check-in date | | `roomType` | Specific room booked (e.g., "Deluxe King") | | `travelType` | Trip type (e.g., Family, Couple, Solo) | | `hotelResponse` | Official response from the hotel | | `images` | Links to guest-uploaded photos | ### 🎯 Use Cases - **Sentiment Analysis**: Understand what guests love and hate about specific hotels. - **Competitor Monitoring**: Track your competitors' ratings and reviews in real-time. - **Market Research**: Analyze travel trends, peak seasons, and guest preferences. - **Brand Reputation**: Monitor your own hotel's reputation across different regions. ### 🛠️ How to Use 1. **Start URLs**: Enter the Booking.com hotel URLs you want to scrape. 2. **Max Reviews**: Set the maximum number of reviews you want (e.g., `1000`). Set to `0` for all reviews. 3. **Filters (Optional)**: - **Sort By**: Choose `Newest`, `Highest Score`, etc. - **Rating**: Filter by specific scores (e.g., `9+` only). - **Language**: Get reviews only in specific languages (e.g., `en`). 4. **Proxy**: Enable proxy if you are scraping large volumes (disabled by default). ### 💰 Pricing **Pay-Per-Result**: $1.00 per 1,000 reviews. - No monthly fees. - No hidden costs. - Volume discounts available for enterprise usage. ### ⚡ Performance - **Speed**: Extracts ~100 reviews per minute. - **Reliability**: 99.9% success rate with built-in retry logic. - **Efficiency**: Optimized to minimize data usage and maximize speed. --- *Built for business intelligence and data-driven decision making.* # Actor input Schema ## `startUrls` (type: `array`): List of Booking.com hotel URLs to scrape reviews from. Can be multiple hotels. ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape per hotel. Set to 0 for unlimited. ## `sortBy` (type: `string`): Sort order for reviews (optional). ## `reviewRatingFilter` (type: `string`): Filter reviews by rating category (optional). ## `minScore` (type: `number`): Filter reviews by minimum score (0-10). Leave empty for all scores. ## `maxScore` (type: `number`): Filter reviews by maximum score (0-10). Leave empty for all scores. ## `language` (type: `string`): Filter reviews by language code (e.g., 'en', 'fr', 'es'). Leave empty for all languages. ## `pageDelay` (type: `integer`): Delay in milliseconds between pagination requests. Lower = faster but higher risk of blocking. Recommended: 800-2000ms. ## `proxyConfiguration` (type: `object`): Proxy settings to avoid IP blocking. Recommended for large scrapes. ## `includeImages` (type: `boolean`): Extract URLs of images uploaded by reviewers. ## `includeHotelResponses` (type: `boolean`): Extract hotel's responses to reviews. ## `debugMode` (type: `boolean`): Enable detailed logging and save screenshots on errors. ## `concurrency` (type: `integer`): Maximum number of hotels to scrape in parallel. Keep low (1-3) to avoid blocks. ## Actor input object example ```json { "startUrls": [ "https://www.booking.com/hotel/us/new-york-marriott-marquis.html", "https://www.booking.com/hotel/ng/fraser-suites-abuja.html", "https://www.booking.com/hotel/fr/plaza-athenee.html" ], "maxReviews": 10, "sortBy": "MOST_RELEVANT", "reviewRatingFilter": "ALL", "language": "en", "pageDelay": 800, "proxyConfiguration": { "useApifyProxy": false }, "includeImages": true, "includeHotelResponses": true, "concurrency": 2 } ```` # 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 = { "startUrls": [ "https://www.booking.com/hotel/us/new-york-marriott-marquis.html", "https://www.booking.com/hotel/ng/fraser-suites-abuja.html" ], "maxReviews": 10, "pageDelay": 800, "proxyConfiguration": { "useApifyProxy": false }, "includeImages": true, "includeHotelResponses": true, "debugMode": false, "concurrency": 2 }; // Run the Actor and wait for it to finish const run = await client.actor("crucial_binoculars/booking-reviews-1-5-1k").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 = { "startUrls": [ "https://www.booking.com/hotel/us/new-york-marriott-marquis.html", "https://www.booking.com/hotel/ng/fraser-suites-abuja.html", ], "maxReviews": 10, "pageDelay": 800, "proxyConfiguration": { "useApifyProxy": False }, "includeImages": True, "includeHotelResponses": True, "debugMode": False, "concurrency": 2, } # Run the Actor and wait for it to finish run = client.actor("crucial_binoculars/booking-reviews-1-5-1k").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 '{ "startUrls": [ "https://www.booking.com/hotel/us/new-york-marriott-marquis.html", "https://www.booking.com/hotel/ng/fraser-suites-abuja.html" ], "maxReviews": 10, "pageDelay": 800, "proxyConfiguration": { "useApifyProxy": false }, "includeImages": true, "includeHotelResponses": true, "debugMode": false, "concurrency": 2 }' | apify call crucial_binoculars/booking-reviews-1-5-1k --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crucial_binoculars/booking-reviews-1-5-1k", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Reviews $1.5/1k", "description": "Extract verified Booking.com reviews and guest ratings at scale. Get detailed reviewer metadata, scores, and full review text in JSON/CSV. Perfect for hospitality market research and sentiment analysis. Updated for 2026.", "version": "0.0", "x-build-id": "XBbIwQwnTizWhpBAH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crucial_binoculars~booking-reviews-1-5-1k/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crucial_binoculars-booking-reviews-1-5-1k", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/crucial_binoculars~booking-reviews-1-5-1k/runs": { "post": { "operationId": "runs-sync-crucial_binoculars-booking-reviews-1-5-1k", "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/crucial_binoculars~booking-reviews-1-5-1k/run-sync": { "post": { "operationId": "run-sync-crucial_binoculars-booking-reviews-1-5-1k", "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": [ "startUrls" ], "properties": { "startUrls": { "title": "Hotel URLs", "type": "array", "description": "List of Booking.com hotel URLs to scrape reviews from. Can be multiple hotels.", "items": { "type": "string" } }, "maxReviews": { "title": "Max Reviews to Scrape", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape per hotel. Set to 0 for unlimited." }, "sortBy": { "title": "Sort Reviews By", "enum": [ "MOST_RELEVANT", "NEWEST_FIRST", "OLDEST_FIRST", "SCORE_DESC", "SCORE_ASC" ], "type": "string", "description": "Sort order for reviews (optional).", "default": "MOST_RELEVANT" }, "reviewRatingFilter": { "title": "Review Rating Filter", "enum": [ "ALL", "REVIEW_ADJ_SUPERB", "REVIEW_ADJ_GOOD", "REVIEW_ADJ_AVERAGE_PASSABLE", "REVIEW_ADJ_POOR", "REVIEW_ADJ_VERY_POOR" ], "type": "string", "description": "Filter reviews by rating category (optional).", "default": "ALL" }, "minScore": { "title": "Minimum Review Score", "minimum": 0, "maximum": 10, "type": "number", "description": "Filter reviews by minimum score (0-10). Leave empty for all scores." }, "maxScore": { "title": "Maximum Review Score", "minimum": 0, "maximum": 10, "type": "number", "description": "Filter reviews by maximum score (0-10). Leave empty for all scores." }, "language": { "title": "Review Language", "type": "string", "description": "Filter reviews by language code (e.g., 'en', 'fr', 'es'). Leave empty for all languages." }, "pageDelay": { "title": "Delay Between Pages (ms)", "minimum": 500, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between pagination requests. Lower = faster but higher risk of blocking. Recommended: 800-2000ms." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings to avoid IP blocking. Recommended for large scrapes." }, "includeImages": { "title": "Include Review Images", "type": "boolean", "description": "Extract URLs of images uploaded by reviewers." }, "includeHotelResponses": { "title": "Include Hotel Responses", "type": "boolean", "description": "Extract hotel's responses to reviews." }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "Enable detailed logging and save screenshots on errors." }, "concurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of hotels to scrape in parallel. Keep low (1-3) to avoid blocks." } } }, "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 } } } } } } } } } } ```