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

{
  "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

{
  "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