# 🏨 Booking.com Reviews Scraper \[From πŸ’°$0.50/1K] (`misterkhan/booking-reviews-scraper`) Actor Extract verified hotel guest reviews from Booking.com β€” including positive and negative feedback, review scores, stay dates, room types, traveler types, and management replies. - **URL**: https://apify.com/misterkhan/booking-reviews-scraper.md - **Developed by:** [Khan](https://apify.com/misterkhan) (community) - **Categories:** Travel, AI, Automation - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### What does Booking.com Reviews Scraper do? Booking.com Reviews Scraper is a hospitality sentiment extraction tool that scrapes verified hotel guest reviews directly from **Booking.com**β€”capturing separated positive (`positive_text` / `liked_text`) and negative (`negative_text` / `disliked_text`) comments, 1–10 review scores, room types booked, nights stayed, traveler categories, guest nationalities, and hotel management replies. Whether you are benchmarking hotel guest satisfaction across competing properties, auditing housekeeping or check-in complaints across a hospitality portfolio, or training an AI sentiment model on structured pros-and-cons review pairs, this scraper delivers clean, analysis-ready records in seconds. > πŸ›‘οΈ **Zero Proxy Configuration Required:** Anti-blocking and regional routing are **handled automatically out of the box** β€” just paste your target URLs and click **Start**. ### What data can you extract with Booking.com Reviews Scraper? **⭐ Review Score & Headline** β€” numeric `rating` (1.0–10.0 scale), review `title`, unique review `id`, and review `date`
**πŸ‘ Positive Guest Feedback (`positive_text` / `liked_text`)** β€” structured praise highlighting what the guest enjoyed most about their stay
**πŸ‘Ž Negative Guest Feedback (`negative_text` / `disliked_text`)** β€” separated complaints, friction points, and improvement requests
**πŸ›οΈ Room & Stay Metadata** β€” exact `room_type` booked (e.g., Deluxe King Room), `nights_stayed`, and source `hotel_url`
**🌍 Guest & Traveler Profile** β€” `reviewer_name`, `reviewer_country`, and `traveler_type` (Couple, Family, Solo traveler, Group, Business)
**πŸ“£ Property Management Reply** β€” official `owner_response` text posted by the hotel team
### Why scrape hotel guest reviews from Booking.com? **πŸ’ͺ Pre-split Pros & Cons for instant NLP and AI analysis** β€” unlike single-paragraph review sites, Booking.com separates `liked_text` and `disliked_text`, making it effortless to isolate operational complaints without complex prompt engineering
**πŸ•΅οΈ Segment guest satisfaction by room type and traveler group** β€” discover whether negative scores come from specific room categories, business travelers, or international guests
**✨ Benchmark competing hotels in your market** β€” compare guest sentiment, response rates, and recurring complaints across rival properties in the same neighborhood
**πŸ‘ Zero proxy or account setup** β€” built-in anti-blocking and proxy rotation work automatically out of the box
**πŸ“© Automate reputation alerts** β€” connect recurring runs to Slack, Google Sheets, Make, or n8n to flag low-score reviews the day they are posted
### How do I use Booking.com Reviews Scraper? Booking.com Reviews Scraper is designed for fast, zero-configuration operation in Apify Console: 1. Click **Try for free** on the Actor page to open Apify Console. 2. Paste one or more Booking.com property URLs into **Start URLs** (for example, `https://www.booking.com/hotel/us/the-plaza.html`). 3. Set **Max Results** (`maxItems`) to control how many hotel reviews to collect. 4. Click **Start** to launch the review extraction run. 5. Download your hotel review dataset from the **Dataset** tab in Excel, CSV, JSON, or HTML table format. ### Input Booking.com Reviews Scraper uses a clean 2-parameter JSON configuration. Click on the [Input tab](https://apify.com/misterkhan/booking-reviews-scraper/input-schema) for the interactive form. ```json { "startUrls": [ { "url": "https://www.booking.com/hotel/us/the-plaza.html" } ], "maxItems": 40 } ``` **🏨 `startUrls`** β€” array of Booking.com hotel property URLs (`https://www.booking.com/hotel/{country}/{property-slug}.html`)
**πŸ”’ `maxItems`** β€” maximum number of hotel reviews to collect per run (default: 40; Free plan runs collect up to 40 reviews per run, while paid Apify plans support unlimited review extraction)
### Output sample Results are streamed in real time to your default Apify Dataset. Each record represents a verified Booking.com guest review with separated positive and negative feedback: ```json [ { "id": "rev_88412093", "hotel_url": "https://www.booking.com/hotel/us/the-plaza.html", "rating": 9.0, "title": "Unforgettable stay right on Central Park", "positive_text": "Location was unbeatable, beds were super comfortable, and concierge staff went above and beyond.", "negative_text": "Breakfast room was quite busy around 9 AM.", "reviewer_name": "Charlotte", "reviewer_country": "United Kingdom", "traveler_type": "Couple", "room_type": "Deluxe King Room", "nights_stayed": 4, "date": "2026-09-18", "owner_response": "Thank you for choosing The Plaza, Charlotte! We look forward to welcoming you back." } ] ``` ### How much does it cost to scrape Booking.com reviews? Booking.com Reviews Scraper uses **Pay-Per-Event (PPE)** pricing (apify-default-dataset-item) with a `$0.00` startup feeβ€”you only pay for verified guest reviews delivered to your dataset: **πŸ†“ Free plan** β€” `$0.005` per review ($5.00 / 1,000 reviews, up to 40 reviews/run)
**πŸ₯‰ Starter (Bronze) plan** β€” `$0.0011` per review ($1.10 / 1,000 reviews)
**πŸ₯ˆ Scale (Silver) plan** β€” `$0.0008` per review ($0.80 / 1,000 reviews)
**πŸ₯‡ Business+ (Gold) plan** β€” `$0.0005` per review ($0.50 / 1,000 reviews)
With the monthly free credit on the Apify Free plan, you can extract **up to 1,000 Booking.com guest reviews per month for free**. > πŸ’‘ **Predictable, All-Inclusive Pay-Per-Event Pricing:** There is a **`$0.00` run start fee** and **no separate proxy configuration required**. You only pay the flat per-result rate above for data successfully delivered to your dataset β€” works out of the box on both **Free** and **Paid** Apify plans. ### How many results can you scrape with Booking.com Reviews Scraper? Booking.com Reviews Scraper can extract **thousands of guest reviews per hotel property** on paid Apify plans (up to 40 reviews per run on the Free plan). Keep these practical details in mind when planning your extraction: - **Direct hotel property URLs (/hotel/{cc}/{slug}.html)** β€” pass individual Booking.com hotel pages in `startUrls` to extract their verified guest review feed. - **Score-only reviews** β€” if a guest submits a numerical rating on Booking.com without writing optional `liked_text` or `disliked_text` comments, the text fields will return empty/null while preserving the `rating`, `room_type`, `nights_stayed`, and `traveler_type`. - **Multi-property hospitality portfolios** β€” pass dozens of hotel URLs in `startUrls` to consolidate reviews across an entire hotel chain or city market in one run. ### Want to scrape Airbnb, Trustpilot, Google Maps, or Zillow? Combine Booking.com Reviews Scraper with our other published hospitality, review, and local business Actors: 🏑 **[Airbnb Reviews Scraper](https://apify.com/misterkhan/airbnb-reviews-scraper)** β€” extract verified Airbnb guest reviews, star ratings, translated review text, and host replies (From $0.50 / 1K)
⭐ **[Trustpilot Reviews Scraper](https://apify.com/misterkhan/trustpilot-reviews-scraper)** β€” extract company customer reviews, star ratings, verification status, and business replies (From $0.50 / 1K)
πŸ“ **[Google Maps Places Scraper](https://apify.com/misterkhan/google-maps-scraper)** β€” extract local brokerages, property managers, commercial businesses, phones, websites, and ratings (From $0.55 / 1K)
🏑 **[Zillow Search Scraper](https://apify.com/misterkhan/zillow-scraper)** β€” extract US homes for sale, rentals, sold prices, Zestimates, beds/baths, and coordinates (From $0.90 / 1K)
### Integrations and Booking.com Reviews Scraper Booking.com Reviews Scraper integrates seamlessly with your hospitality BI dashboards, spreadsheets, and automation workflows through [Apify integrations](https://apify.com/integrations): - **No-Code Automation** β€” trigger negative-review Slack/email alerts and AI reply drafts via Make, Zapier, or n8n. - **Spreadsheets & Warehouses** β€” sync hotel reviews directly into Google Sheets, Airtable, BigQuery, Snowflake, or Power BI. - **Webhooks** β€” fire automated webhook payloads to your reputation management platform as soon as a run completes. ### Using Booking.com Reviews Scraper with the Apify API You can launch review extraction runs and fetch dataset items programmatically using the official `apify-client` libraries for **Node.js** and **Python**, or connect this Actor directly to AI hospitality analysts via the **Apify MCP Server** (`https://mcp.apify.com`). Check the [API tab](https://apify.com/misterkhan/booking-reviews-scraper/api) for ready-to-copy Node.js, Python, and cURL examples. ### Frequently asked questions about Booking.com Reviews Scraper **🏨 Can I scrape hotels from any country on Booking.com?
** Yes. Pass any international Booking.com hotel URL (/hotel/gb/..., /hotel/fr/..., /hotel/jp/..., /hotel/ae/..., /hotel/us/...) and the scraper will extract the property's guest reviews automatically. **πŸ‘ Why are `liked_text` and `disliked_text` in separate fields?
** Booking.com prompts guests to enter positive and negative feedback in two separate boxes. Keeping `liked_text` and `disliked_text` distinct in the JSON output lets you run targeted sentiment analysis on guest complaints without positive praise diluting the signal. **πŸ›‘οΈ Do I need to configure proxies or a Booking.com account?
** **No β€” everything works out of the box with zero setup.** Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings. ### Is it legal to scrape public hotel reviews from Booking.com? Our scrapers are ethical and only extract publicly visible guest review scores, review comments, and property management replies displayed on public Booking.com hotel pages. They do not extract private booking reservations or personal account data. For more details on the legality of web scraping, read Apify's guide on [is web scraping legal](https://blog.apify.com/is-web-scraping-legal/). ### Your feedback We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors β€” please **open an Issue before posting a public review** so we can diagnose and fix it for you. **πŸ› οΈ How to report** β€” Use the Actor’s [Issues tab](https://apify.com/misterkhan/booking-reviews-scraper/issues/open) in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
**⏱️ Response time** β€” We aim to reply within 24 hours on business days.
**⭐ Reviews** β€” Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first β€” we’ll work with you to resolve it before you leave a rating.
# Actor input Schema ## `startUrls` (type: `array`): Paste one or more Booking.com URLs to collect hotel reviews from (e.g., `https://www.booking.com/hotel/us/the-plaza-new-york.html`). ## `maxItems` (type: `integer`): Maximum number of hotel reviews to collect (Free plan runs collect up to 40 results per run; paid plans support unlimited results). ## Actor input object example ```json { "startUrls": [ { "url": "https://www.booking.com/hotel/us/the-plaza.html" } ], "maxItems": 40 } ``` # Actor output Schema ## `results` (type: `string`): All extracted hotel reviews. ## `usage_summary` (type: `string`): Execution telemetry and extraction summary stored in the default key-value store. # 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": [ { "url": "https://www.booking.com/hotel/us/the-plaza.html" } ], "maxItems": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("misterkhan/booking-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": [{ "url": "https://www.booking.com/hotel/us/the-plaza.html" }], "maxItems": 40, } # Run the Actor and wait for it to finish run = client.actor("misterkhan/booking-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.booking.com/hotel/us/the-plaza.html" } ], "maxItems": 40 }' | apify call misterkhan/booking-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,misterkhan/booking-reviews-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/6yPT9WIodmgT16TAM/builds/tAPPg3NaCtY8RdjFV/openapi.json