# Booking Reviews Scraper (`shahidirfan/booking-reviews-scraper`) Actor Extract Booking.com reviews at scale with precision. Automate review collection, sentiment analysis, and competitive intelligence. Perfect for hospitality businesses, OTAs, and market researchers. Supports bulk scraping with filtering by rating, date, and language. - **URL**: https://apify.com/shahidirfan/booking-reviews-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## Booking Reviews Scraper Extract hotel reviews from Booking.com into a clean, analysis-ready dataset. Collect structured review content, ratings, review dates, and traveler context for market research, reputation monitoring, and hospitality intelligence workflows. ### Features - **Hotel Review Extraction** — Collect reviews directly from a Booking hotel page. - **Pagination Support** — Fetches multiple review pages up to your configured limits. - **Clean Output Records** — Removes null and empty values from saved dataset items. - **Duplicate Filtering** — Prevents duplicate reviews in the output. - **Structured Review Data** — Returns normalized fields for analytics and reporting. ### Use Cases #### Hospitality Reputation Monitoring Track guest sentiment over time for a specific property. Identify positive and negative feedback trends to improve service quality and guest experience. #### Competitive Hotel Analysis Collect review data from competitor properties and compare score patterns, complaint themes, and traveler feedback. #### Travel Content Intelligence Build review datasets for editorial, SEO, and destination insights. Understand what guests praise or criticize before publishing recommendations. #### Product and Service Validation Use guest feedback to validate room quality, amenities, and value perception before launching promotions or partnerships. ### Input Parameters This actor uses a direct Booking hotel URL input and automatically opens the reviews tab. | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `startUrl` | String | Yes | `https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html` | Booking hotel page URL. The actor auto-normalizes it to the reviews tab URL. | | `results_wanted` | Integer | No | `20` | Maximum number of unique reviews to save. | | `proxyConfiguration` | Object | No | — | Proxy settings. Residential proxy is recommended for best reliability. | ### Output Data Each item in the dataset contains: | Field | Type | Description | |-------|------|-------------| | `hotelName` | String | Hotel name associated with the review. | | `hotelUrl` | String | Booking hotel page URL. | | `reviewId` | String/Number | Unique review identifier when available. | | `reviewTitle` | String | Review headline/title. | | `reviewText` | String | Main review text with positive/negative notes when available. | | `positive` | String | Positive section text when provided by Booking. | | `negative` | String | Negative section text when provided by Booking. | | `rating` | Number/String | Review score. | | `publishedAt` | String | Review publication date/time. | | `language` | String | Review language code/name. | | `stayDate` | String | Date of stay when available. | | `roomType` | String | Room type when available. | | `travelerType` | String | Traveler category when available. | | `reviewerName` | String | Reviewer name. | | `reviewerCountry` | String | Reviewer country name. | | `reviewerCountryCode` | String | Reviewer country code. | ### Usage Examples #### Basic Review Collection ```json { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 20 } ```` #### Large Collection (Internal Pagination) ```json { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 100 } ``` #### Run With Residential Proxy ```json { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Sample Output ```json { "hotelName": "Nobu Hotel London Portman Square", "hotelUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html#tab-reviews", "reviewId": "123456789", "reviewTitle": "Excellent stay in a prime location", "reviewText": "Positive: Great location and very clean room. Negative: Breakfast options were limited.", "positive": "Great location and very clean room.", "negative": "Breakfast options were limited.", "rating": 8.9, "publishedAt": "2026-03-24", "language": "en-gb", "stayDate": "2026-03", "roomType": "Deluxe King Room", "travelerType": "couple", "reviewerName": "Emma", "reviewerCountry": "United Kingdom", "reviewerCountryCode": "gb" } ``` ### Tips for Best Results #### Use Direct Hotel URLs - Provide a direct Booking hotel page URL with reviews tab when possible. - Prefer stable hotel pages over redirected campaign links. #### Keep Test Runs Small - Start with `results_wanted: 20` for fast validation. - Increase limits only after confirming stable output. #### Use Residential Proxies - Residential proxy configuration improves reliability on protected pages. ### Integrations - **Google Sheets** — Export review datasets for team analysis. - **Airtable** — Build searchable review intelligence tables. - **Make** — Trigger automated sentiment workflows. - **Zapier** — Connect review data to CRM and reporting tools. - **Webhooks** — Send datasets to internal APIs. #### Export Formats - **JSON** — API and data engineering workflows. - **CSV** — Spreadsheet and BI tools. - **Excel** — Business reporting. - **XML** — Legacy system integrations. ### Frequently Asked Questions #### Can I scrape multiple hotels in one run? This actor currently runs one hotel target per execution. #### Why are some review fields missing? Some reviews do not include all optional attributes (such as room type or stay date). The actor removes null and empty values automatically. #### Does the actor remove duplicate reviews? Yes. Duplicate review records are filtered before saving results. #### How many reviews can I collect? You can control this with `results_wanted`. Pagination is handled internally based on your requested result count and available reviews. #### Is proxy required? Not always, but residential proxy is strongly recommended for consistency and lower blocking risk. ### Support For bug reports, improvements, or feature requests, use the Issues section in your project repository or contact support through the Apify Console. ### Legal Notice This actor is intended for legitimate data collection and analytics use. Users are responsible for complying with Booking terms, local laws, and applicable data usage policies. # Actor input Schema ## `startUrl` (type: `string`): Booking hotel URL. You can paste a normal hotel URL and the actor will automatically use the reviews tab. ## `results_wanted` (type: `integer`): Maximum number of unique reviews to save. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxy is recommended for maximum reliability. ## Actor input object example ```json { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/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 = { "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 20, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/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 '{ "startUrl": "https://www.booking.com/hotel/gb/nobu-hotel-london-portman-square.html", "results_wanted": 20 }' | apify call shahidirfan/booking-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/booking-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Reviews Scraper", "description": "Extract Booking.com reviews at scale with precision. Automate review collection, sentiment analysis, and competitive intelligence. Perfect for hospitality businesses, OTAs, and market researchers. Supports bulk scraping with filtering by rating, date, and language.", "version": "1.0", "x-build-id": "jVORtQjYto5NjgckD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~booking-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-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/shahidirfan~booking-reviews-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-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/shahidirfan~booking-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-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": [ "startUrl" ], "properties": { "startUrl": { "title": "Start URL (Hotel Page)", "type": "string", "description": "Booking hotel URL. You can paste a normal hotel URL and the actor will automatically use the reviews tab." }, "results_wanted": { "title": "Results Wanted", "minimum": 1, "type": "integer", "description": "Maximum number of unique reviews to save.", "default": 20 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Residential proxy is recommended for maximum reliability.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```