Tripadvisor Data Extractor Pro

by xquantify

TripAdvisor scraper: Extract hotel, restaurant & attraction data. Get reviews, ratings, pricing, photos, amenities in JSON/CSV. No API key needed. Mul...

61 runs
3 users
Try This Actor

Opens on Apify.com

About Tripadvisor Data Extractor Pro

TripAdvisor scraper: Extract hotel, restaurant & attraction data. Get reviews, ratings, pricing, photos, amenities in JSON/CSV. No API key needed. Multi-language support. Perfect for travel businesses, competitive analysis & market research.

What does this actor do?

Tripadvisor Data Extractor Pro is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

TripAdvisor Data Extractor Pro The most professional and user-friendly TripAdvisor scraper for hotels, restaurants, attractions, and reviews. Extract comprehensive data from TripAdvisor including pricing, reviews, ratings, photos, amenities, contact information, and more. Built for businesses, researchers, and data analysts who need reliable TripAdvisor data extraction. ## 💰 Pricing Pay only for results - No subscriptions, no hidden fees! - $0.015-0.05 per result (volume discounts apply) - First 10 results FREE on every run - Up to 90% cheaper than alternatives 📊 View Full Pricing Details → ## Features ### What Makes This Scraper Better? - User-Friendly Interface - Intuitive input configuration with smart defaults and helpful descriptions - Comprehensive Data Extraction - Get everything: ratings, reviews, photos, amenities, pricing, contact info - Multiple Extraction Modes - Search by location, use direct URLs, or extract all data from a location - Advanced Filtering - Filter reviews by language, rating, and date - High Performance - Fast, parallel extraction with configurable concurrency - Reliable - Built-in retry logic and error handling - Multiple Export Formats - JSON, CSV, Excel compatible - Professional Output - Clean, structured data ready for analysis ### Data You Can Extract #### For All Listings - Name and category - Rating (out of 5) - Number of reviews - Price level - Full address - GPS coordinates (latitude/longitude) - Description - Opening hours - Awards and badges - Photos (high-resolution URLs) - Website, phone, email #### Hotels Specific - Hotel class/stars - Room types - Check-in/check-out information - Current pricing (with date filters) - Amenities and facilities #### Restaurants Specific - Cuisine types - Meals served (breakfast, lunch, dinner) - Special diets (vegetarian, vegan, gluten-free, etc.) - Price range - Reservation information #### Attractions Specific - Type of attraction - Duration - Admission pricing - Best time to visit #### Reviews - Review title and text - Rating (1-5) - Author name and location - Review date - Visit/stay date - Trip type - Helpful votes - Filter by language, rating, and sort order ## Usage ### Basic Search Example Extract all hotels in Paris: json { "mode": "search", "searchQuery": "Paris", "dataTypes": { "hotels": true, "restaurants": false, "attractions": false }, "maxResults": 100, "includeReviews": true, "maxReviewsPerListing": 20 } ### Restaurant Search Example Extract top restaurants in Tokyo with reviews: json { "mode": "search", "searchQuery": "Tokyo restaurants", "dataTypes": { "hotels": false, "restaurants": true, "attractions": false }, "maxResults": 50, "includeReviews": true, "maxReviewsPerListing": 15, "reviewFilters": { "language": "en", "rating": "4", "sortBy": "recent" } } ### Direct URLs Example Extract data from specific TripAdvisor URLs: json { "mode": "direct-urls", "startUrls": [ { "url": "https://www.tripadvisor.com/Hotel_Review-g187147-d188151-Reviews-Hotel_de_Crillon-Paris.html" }, { "url": "https://www.tripadvisor.com/Restaurant_Review-g187147-d718070-Reviews-Le_Jules_Verne-Paris.html" } ], "includeReviews": true, "includePhotos": true } ### Complete Configuration Example json { "mode": "search", "searchQuery": "New York City", "dataTypes": { "hotels": true, "restaurants": true, "attractions": true, "vacationRentals": false }, "maxResults": 200, "includeReviews": true, "maxReviewsPerListing": 30, "reviewFilters": { "language": "en", "rating": "all", "sortBy": "helpful" }, "includePhotos": true, "includeAmenities": true, "includePricing": true, "includeContactInfo": true, "language": "en", "currency": "USD", "hotelCheckIn": "2025-12-20", "hotelCheckOut": "2025-12-25", "maxConcurrency": 5 } ## Input Parameters ### Essential Settings | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | mode | String | "search" | Extraction mode: search, direct-urls, or location-all | | searchQuery | String | - | Location or keyword to search (e.g., "London hotels") | | startUrls | Array | [] | Direct TripAdvisor URLs to scrape | | maxResults | Number | 50 | Maximum number of listings to extract (1-10000) | ### Data Types | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | dataTypes.hotels | Boolean | true | Extract hotel data | | dataTypes.restaurants | Boolean | true | Extract restaurant data | | dataTypes.attractions | Boolean | true | Extract attraction data | | dataTypes.vacationRentals | Boolean | false | Extract vacation rental data | ### Review Settings | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | includeReviews | Boolean | true | Extract customer reviews | | maxReviewsPerListing | Number | 10 | Reviews per listing (0 = all) | | reviewFilters.language | String | "all" | Filter by language code (en, es, fr, etc.) | | reviewFilters.rating | String | "all" | Filter by minimum rating (1-5) | | reviewFilters.sortBy | String | "recent" | Sort order: recent, helpful, rating-high, rating-low | ### Additional Data | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | includePhotos | Boolean | true | Extract photo URLs | | includeAmenities | Boolean | true | Extract amenities and features | | includePricing | Boolean | true | Extract pricing information | | includeContactInfo | Boolean | true | Extract phone, website, email | ### Localization | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | language | String | "en" | Content language (en, es, fr, de, etc.) | | currency | String | "USD" | Currency for prices (USD, EUR, GBP, etc.) | ### Hotel-Specific | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | hotelCheckIn | String | - | Check-in date (YYYY-MM-DD) for price checking | | hotelCheckOut | String | - | Check-out date (YYYY-MM-DD) for price checking | ### Performance | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | maxConcurrency | Number | 3 | Parallel browser instances (1-20) | | proxy | Object | Apify Residential | Proxy configuration | | debug | Boolean | false | Enable detailed logging | ## Output Format ### Example Output json { "name": "The Ritz Paris", "rating": 4.5, "reviewCount": 2847, "priceLevel": "$$$$", "category": "Luxury Hotel", "address": "15 Place Vendôme, 75001 Paris, France", "latitude": 48.8682, "longitude": 2.3287, "phone": "+33 1 43 16 30 30", "website": "https://www.ritzparis.com", "email": "reservations@ritzparis.com", "description": "Legendary luxury hotel in the heart of Paris...", "hotelClass": 5, "amenities": [ "Free WiFi", "Pool", "Spa", "Restaurant", "Bar/Lounge", "Fitness Center", "Room Service", "Concierge" ], "roomTypes": ["Suite", "Deluxe Room", "Premium Room"], "photos": [ "https://media-cdn.tripadvisor.com/media/photo-o/...", "https://media-cdn.tripadvisor.com/media/photo-o/..." ], "reviews": [ { "title": "Absolutely stunning hotel", "rating": 5, "text": "The Ritz Paris exceeded all expectations...", "date": "November 2025", "author": "John D", "authorLocation": "New York, NY", "visitDate": "October 2025", "tripType": "Couples", "helpfulVotes": 12 } ], "awards": ["Travellers' Choice 2025", "Certificate of Excellence"], "url": "https://www.tripadvisor.com/Hotel_Review-g187147-d188151", "scrapedAt": "2025-11-09T18:30:00.000Z" } ## Use Cases - Travel Industry - Monitor competitor pricing and reviews - Market Research - Analyze hospitality trends and customer sentiment - Content Creation - Gather data for travel blogs and guides - Business Intelligence - Track hotel and restaurant performance - Academic Research - Study tourism patterns and consumer behavior - Price Comparison - Build travel comparison websites - Review Analysis - Sentiment analysis and NLP projects - Lead Generation - Find contact information for sales outreach ## Why Choose TripAdvisor Data Extractor Pro? ### vs. Other Scrapers | Feature | This Scraper | Competitors | |---------|--------------|-------------| | User Interface | Intuitive, professional | Complex, confusing | | Data Coverage | Comprehensive (15+ fields) | Basic (5-8 fields) | | Review Filtering | Advanced (language, rating, sort) | Limited or none | | Photo Extraction | High-res URLs | Low quality or missing | | Error Handling | Robust with retries | Frequent failures | | Documentation | Detailed with examples | Minimal | | Performance | Optimized, configurable | Slow, fixed settings | | Contact Data | Phone, email, website | Often missing | | Support | Professional | Community only | ## Performance & Pricing - Speed: Extract 50-100 listings per minute (depending on review count) - Concurrency: Configurable (1-20 parallel instances) - Memory: Optimized for efficiency - Proxy: Residential proxies recommended (included with Apify) ### Estimated Costs (Apify Platform) - 100 hotels with 10 reviews each: ~$0.50 - 500 restaurants with 20 reviews each: ~$2.50 - 1000 attractions with reviews: ~$5.00 Costs based on Apify platform usage. Actual costs may vary. ## Limitations & Best Practices ### Limitations - Respects TripAdvisor's robots.txt - Rate limiting to avoid blocking - Some data may require login (not included) - Pricing may vary by location/date ### Best Practices 1. Start Small - Test with 10-20 results first 2. Use Proxies - Always use residential proxies for reliability 3. Be Specific - Specific search queries yield better results 4. Filter Wisely - Use review filters to reduce processing time 5. Monitor Usage - Check Apify dashboard for consumption 6. Respect Limits - Don't exceed reasonable request rates ## Legal & Ethical Use This scraper is provided for legitimate use cases only: - Market research and competitive analysis - Academic research - Personal travel planning - Business intelligence You must: - Comply with TripAdvisor's Terms of Service - Respect robots.txt and rate limits - Not use data for malicious purposes - Not republish copyrighted content - Follow local data protection laws (GDPR, CCPA, etc.) ## Support & Feedback - Issues: Report bugs on GitHub - Questions: Contact via Apify support - Feature Requests: Open an issue or discussion ## Updates & Changelog ### Version 1.0.0 (Initial Release) - Search by location/keyword - Direct URL extraction - Hotels, restaurants, attractions support - Review extraction with filtering - Photo URL extraction - Amenities and contact information - Multiple language and currency support - Configurable performance settings ## License Apache 2.0 - See LICENSE file for details --- Made with care for the Apify community Extract smarter, not harder.

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

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Actor Information

Developer
xquantify
Pricing
Paid
Total Runs
61
Active Users
3
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