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

./PRICING.md

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:

{
  "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:

{
  "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:

{
  "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

{
  "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

{
  "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

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Made with care for the Apify community

Extract smarter, not harder.