TripAdvisor Review Scraper Actor

The TripAdvisor Review Scraper Actor enables you to extract detailed review data from TripAdvisor establishments based on location queries. This powerful tool collects comprehensive review information including ratings, detailed feedback, and granular scoring across multiple categories.

Input Configuration

The actor accepts a simple location-based query:

1{
2    "query": "kathmandu"
3}

Output Data Structure

The scraper returns detailed review data in a structured JSON format:

1{
2    "name": "Chez Caroline",                    // Establishment name
3    "url": "https://www.tripadvisor.com/...",  // Full TripAdvisor URL
4    "username": "SeattleSal",                  // Reviewer's username
5    "title": "What happened to our server??",   // Review title
6    "text": "I had heard and read...",         // Full review content
7    "language": "en",                          // Review language
8    "rating": 2,                               // Overall rating (1-5)
9    "createdDate": "2021-10-29",              // Review creation date
10    "publishedDate": "2021-10-28",            // Review publication date
11    "additionalRating": [                      // Detailed category ratings
12        {
13            "rating": 2,
14            "ratingLabel": "Value"
15        },
16        {
17            "rating": 1,
18            "ratingLabel": "Service"
19        },
20        {
21            "rating": 3,
22            "ratingLabel": "Food"
23        }
24    ]
25}

Key Data Points Collected

1. Basic Information

   • Establishment name
   • TripAdvisor URL
   • Reviewer username

2. Review Content

   • Review title
   • Full review text
   • Review language
   • Overall rating

3. Temporal Data

   • Creation date
   • Publication date

4. Detailed Ratings

   • Value rating
   • Service rating
   • Food rating
   • Other category-specific ratings

Use Cases

Restaurant Management

• Track service quality metrics
• Monitor food quality feedback
• Analyze value perception
• Identify service improvement areas

Market Analysis

• Compare ratings across competitors
• Track customer satisfaction trends
• Analyze price-value relationships
• Monitor service standards

Customer Experience

• Identify common pain points
• Track satisfaction across categories
• Monitor service consistency
• Analyze customer expectations

Business Intelligence

• Generate competitive insights
• Track performance metrics
• Identify areas for improvement
• Monitor brand perception

Features

1. Comprehensive Review Extraction

   • Complete review text
   • Multiple rating dimensions
   • Temporal data
   • Reviewer information

2. Data Processing

   • Language detection
   • Date standardization
   • Rating aggregation
   • Category classification

3. Output Options

   • JSON format
   • CSV export
   • Excel sheets
   • XML structure
   • HTML reports

Best Practices

1. Query Optimization

   • Use specific location names
   • Include area identifiers
   • Consider regional variations
   • Use proper spelling

2. Data Collection

   • Regular data updates
   • Consistent monitoring
   • Historical tracking
   • Trend analysis

Legal Considerations

This scraper collects publicly available TripAdvisor data. Users should:

• Comply with TripAdvisor's terms of service
• Handle personal data according to GDPR and local regulations
• Use data ethically and responsibly
• Seek legal counsel for specific use cases

Technical Details

• Automatic rate limiting
• Proxy support
• Error handling
• Retry mechanisms
• Data validation
• Language detection
• Date normalization

Support and Maintenance

The actor is regularly updated to ensure:

• Compatibility with TripAdvisor's platform
• Optimal performance
• Data accuracy
• New feature implementation

For support, customization, or questions, contact our team through the Apify platform.