TripAdvisor Reviews Scraper Fast and reliable scraper for extracting reviews, ratings, and detailed user feedback from any TripAdvisor restaurant or hotel page. ## Why Choose This Scraper? - High Performance - Optimized API calls extract hundreds of reviews quickly - Complete Data - Get reviews, ratings, author profiles, photos, trip details, and more - Automatic Pagination - Seamlessly handles large datasets without manual intervention - Real-time Results - Data is saved instantly as it's extracted - Easy to Use - Just paste a URL and run ## Features - 📊 Comprehensive Review Data - Ratings, titles, full text, publish dates - 👤 Author Profiles - Username, display name, hometown, contribution counts - 📸 Review Photos - Extract photo URLs from reviews - 🗓️ Trip Information - Visit dates and trip types - 👍 Engagement Metrics - Helpful votes count - 🌍 Multi-language Support - Extracts reviews in all languages - ⚡ Fast Extraction - Batch processing for optimal speed ## Input Parameters | Parameter | Type | Required | Description | Default | |-----------|------|----------|-------------|---------| | searchUrl | String | Yes | Full URL of the TripAdvisor restaurant or hotel page | - | | maxResults | Integer | No | Maximum number of reviews to extract | 50 | ## Example Input json { "searchUrl": "https://www.tripadvisor.com/Restaurant_Review-g60763-d11918545-Reviews-Boucherie_West_Village-New_York_City_New_York.html", "maxResults": 200 } ## How to Get the URL 1. Go to TripAdvisor.com 2. Search for any restaurant or hotel 3. Click on the listing to open its page 4. Copy the full URL from your browser's address bar 5. Paste it into the searchUrl field ## Output Data Each review includes: | Field | Type | Description | |-------|------|-------------| | id | String | Unique review identifier | | title | String | Review title/headline | | text | String | Complete review content | | rating | Number | Star rating (1-5) | | publishedDate | String | Publication date | | createdDate | String | Creation timestamp | | author | Object | Author details (username, display name, user ID, contributions, hometown) | | tripInfo | Object | Trip type and visit date | | helpfulVotes | Number | Number of helpful votes received | | language | String | Review language code | | url | String | Direct link to the review page | | photos | Array | Array of photo objects with URLs | ## Example Output json { "id": "987654321", "title": "Outstanding dining experience!", "text": "The ambiance was perfect, food was delicious, and service exceeded expectations. The ribeye steak was cooked to perfection...", "rating": 5, "publishedDate": "2024-11-20", "createdDate": "2024-11-20T10:30:00Z", "author": { "username": "foodie_nyc", "displayName": "Sarah M", "userId": "ABC123XYZ", "contributionCounts": { "sumAllUgc": 127 }, "hometown": "New York, NY" }, "tripInfo": { "stayDate": "November 2024", "tripType": "Couples" }, "helpfulVotes": 24, "language": "en", "url": "https://www.tripadvisor.com/ShowUserReviews-g60763-d11918545-r987654321", "photos": [ { "id": "photo123", "url": "https://media-cdn.tripadvisor.com/media/photo-o/1a/2b/3c/4d.jpg" } ] } ## Use Cases ### Business Intelligence - Competitive Analysis - Monitor competitor ratings and identify their strengths/weaknesses - Market Research - Understand customer preferences and trending topics - Sentiment Analysis - Analyze customer emotions and satisfaction levels ### Reputation Management - Review Monitoring - Track new reviews for your business in real-time - Response Planning - Identify reviews that need management attention - Trend Analysis - Spot recurring issues or praise patterns ### Data Science & Analytics - NLP Training Data - Build datasets for sentiment analysis models - Customer Insights - Extract actionable insights from customer feedback - Predictive Analytics - Forecast business performance based on review trends ### Content Marketing - Testimonial Collection - Gather authentic customer quotes - Social Proof - Showcase real customer experiences - Content Ideas - Discover what customers love to write about ## Performance & Costs - Speed: Extracts 200-500 reviews in 2-5 minutes (depending on limit settings) - Efficiency: Uses optimized batch sizes to minimize API calls - Residential Proxies: Required for reliability (included in Apify platform) - Cost: Typical run costs $0.10-0.30 for 100-500 reviews ## Data Export Formats Export your data in any format you need: - JSON - For developers and API integrations - CSV - For Excel and spreadsheet analysis - Excel - Ready-to-analyze spreadsheets - HTML Table - For reports and presentations - RSS - For feed subscriptions ## Getting Started 1. Find Your URL - Navigate to any TripAdvisor restaurant or hotel page 2. Copy the URL - From your browser's address bar 3. Configure Input - Paste URL and set max results (optional) 4. Run the Actor - Click start and wait for completion 5. Download Data - Export in your preferred format ## Tips for Best Results - For faster extraction, request exactly the number of reviews you need - Large datasets (1000+ reviews) may take several minutes - The actor automatically handles pagination - no configuration needed - Review photos are extracted when available - English reviews are prioritized but all languages are supported