# Booking Review Scraper (`saswave/booking-review-scraper`) Actor $0.6 / 1000 results. Extract reviews from Hotel & Attraction on Booking website booking.com, including ratings, guest profiles, stay details, languages, and timestamps. Ideal for reputation monitoring, sentiment analysis, hospitality analytics, and travel intelligence. - **URL**: https://apify.com/saswave/booking-review-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Social media, Real estate, E-commerce - **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 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? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Review Scraper (Hotels & Attractions) Extract verified customer reviews from Booking.com hotel stays and attractions, including ratings, guest profiles, stay details, languages, and timestamps. Ideal for reputation monitoring, sentiment analysis, hospitality analytics, and travel intelligence. ### ✨ Features ##### 🏨 Hotel Reviews Extraction Verified guest reviews from hotel stays Positive & negative feedback separation Overall review score (numeric) Stay details (room type, dates, number of nights) Guest type (couple, solo traveler, family, friends) Review approval & moderation status ##### 🎡 Attraction Reviews Extraction Reviews from attractions & experiences Star ratings & numeric ratings Travel companion type (friends, family, etc.) Review language & posting date User profile details (name, country) ##### 🌍 Multilingual Support Extract reviews in all available languages Language code detection Ready for translation & NLP pipelines ##### 👤 Reviewer Metadata Username (when available) Country & country code Anonymous / public reviewer flag Helpful vote count (hotels) ##### 🕒 Time & Freshness UNIX timestamps Human-readable UTC dates Posted date references ##### 🧩 Clean & Structured Output Normalized JSON schema Separate structures for Hotels and Attractions Easy ingestion into databases, dashboards, or AI systems ### OUTPUT Samples Hotel Stays Review ```json { "reviewScore": 10.0, "photos": null, "negativeHighlights": null, "isTranslatable": false, "positiveHighlights": null, "isApproved": true, "textDetails": { "title": null, "textTrivialFlag": 0, "__typename": "TextDetails", "positiveText": "I liked the view from the room we had and the bed was comfy", "lang": "en", "negativeText": "For the price i paid i think it would’ve been nice to have a bath also and a smart tv also instead of 2 separate beds put together it would be nice if it was just 1 double bed" }, "editUrl": null, "bookingDetails": { "checkoutDate": "2025-12-18", "numNights": 3, "customerType": "COUPLES", "__typename": "BookingDetails", "roomId": 23063001, "checkinDate": "2025-12-15", "roomType": { "id": "23063001", "name": "Double or Twin Room", "__typename": "RoomTranslation" }, "stayStatus": "stayed" }, "__typename": "ReviewCard", "reviewedDate": 1766088315, "reviewUrl": "f374d16a03d521e6", "helpfulVotesCount": 0, "guestDetails": { "avatarUrl": null, "anonymous": false, "guestTypeTranslation": "Couple", "username": "Benjamin", "__typename": "GuestDetails", "showCountryFlag": true, "countryName": "United Kingdom", "countryCode": "gb", "avatarColor": null }, "partnerReply": null, "utc_date": "2025-12-18 20:05:15" } ``` Attraction Review ```json { "id": "RSD7rzAb5og5", "epochMs": 1766141741000, "content": "Magical experience 🤩", "travelPartnerTypes": [ "friends" ], "rating": null, "numericRating": 5, "language": "en-gb", "isApproved": true, "providerName": null, "postedOn": "Posted December 19, 2025 on Booking.com", "supplierResponse": null, "user": { "name": "Catrena", "cc1": "gb", "avatar": null, "__typename": "AttractionsReviewUser" }, "votes": null, "__typename": "AttractionsReview", "photos": [], "utc_date": "2025-12-19 10:55:41" } ``` ### 🚀 Use Cases ⭐ Online reputation monitoring 🧠 Sentiment analysis & NLP 🏨 Hotel & attraction benchmarking 📊 Customer satisfaction analytics 🧳 Travel & tourism market research 🤖 AI training datasets 🔎 Competitor review intelligence 🌍 Multilingual feedback analysis ### 💡 Notes Reviews are extracted from public Booking.com pages Only approved & visible reviews are returned Some reviews may not include ratings or photos Output structure differs slightly between Hotels and Attractions Data reflects Booking.com availability at scraping time ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `properties` (type: `array`): Get reviews from hotel / apartment ## `attractions` (type: `array`): Get review from attractions ## `max_results` (type: `integer`): 0 = no limit ## `properties_sort` (type: `string`): Select your sort mode ## `prop_time_of_year` (type: `string`): Select your filter ## `prop_reviews_scores` (type: `string`): Select your filter ## `prop_reviewers` (type: `string`): Select your filter ## `attraction_sort` (type: `string`): Select your sort mode ## `attraction_time_of_year` (type: `string`): Select your filter ## `attraction_reviews_scores` (type: `string`): Select your filter ## Actor input object example ```json { "properties": [ "https://www.booking.com/hotel/br/casa-agradavel-em-inhoaiba.fr.html" ], "attractions": [ "https://www.booking.com/attractions/fr/prjyfitkuhfz-one-day-admission-to-disneylandr-paris.en-gb.html" ], "max_results": 10, "properties_sort": "NEWEST_FIRST", "prop_time_of_year": "", "prop_reviews_scores": "", "prop_reviewers": "", "attraction_sort": "newest", "attraction_time_of_year": "", "attraction_reviews_scores": "" } ``` # Actor output Schema ## `results` (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 = { "properties": [ "https://www.booking.com/hotel/br/casa-agradavel-em-inhoaiba.fr.html" ], "attractions": [ "https://www.booking.com/attractions/fr/prjyfitkuhfz-one-day-admission-to-disneylandr-paris.en-gb.html" ], "max_results": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/booking-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 = { "properties": ["https://www.booking.com/hotel/br/casa-agradavel-em-inhoaiba.fr.html"], "attractions": ["https://www.booking.com/attractions/fr/prjyfitkuhfz-one-day-admission-to-disneylandr-paris.en-gb.html"], "max_results": 10, } # Run the Actor and wait for it to finish run = client.actor("saswave/booking-review-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "properties": [ "https://www.booking.com/hotel/br/casa-agradavel-em-inhoaiba.fr.html" ], "attractions": [ "https://www.booking.com/attractions/fr/prjyfitkuhfz-one-day-admission-to-disneylandr-paris.en-gb.html" ], "max_results": 10 }' | apify call saswave/booking-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/booking-review-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/bKreIFK8owIdPFeCP/builds/KHDM5qBdG96SqmzWq/openapi.json