TourRadar Reviews Scraper | Extract Tour Reviews, Ratings & Traveler Feedback at Scale

Scrape TourRadar tour reviews in seconds and turn them into structured datasets for analytics, AI models, sentiment analysis, and travel market insights.

This actor extracts real traveler reviews including ratings, travel dates, operator responses, and user-uploaded images — ready for export to JSON, CSV, Excel, or API pipelines.

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🔥 Why use this TourRadar scraper?

• Extract real TourRadar reviews at scale
• Capture ratings, review text, and traveler insights
• Includes tour operator responses and metadata
• Ideal for AI training, analytics, dashboards, and competitor research
• Built for fast, reliable, and scalable scraping

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🚀 Features

• Scrape reviews from any TourRadar tour URL
• Extract structured data including:
  • Review text and ratings
  • Travel date and traveler count
  • Author name
  • Operator name and responses
  • Review images
• Sorting options:
  • Most recent
  • Most popular
  • Highest rating
  • Lowest rating
• Incremental scraping via cutoff date
• Export to JSON, CSV, Excel, or integrate via API

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📥 Input

{
  "urls": [
    { "url": "https://www.tourradar.com/t/258" }
  ],
  "max_review_per_page": 100,
  "sort_by": "recent",
  "cutoff_date": "2024-01-01"
}

Input parameters

• urls (required): List of TourRadar tour URLs
• max_review_per_page: Maximum number of reviews per URL (default: 1000)
• sort_by:
  • recent
  • popular
  • highest
  • lowest
• cutoff_date: Only return reviews newer than this date

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📤 Output

Each review is returned as structured data:

{
  "tourUrl": "https://www.tourradar.com/t/258",
  "tourId": "258",
  "id": "245656",
  "date": "2023-01-16 00:00:00",
  "dateTravel": "January 2023",
  "travellerCount": 0,
  "rating": 5.0,
  "authorName": "Evie",
  "comments": "This tour is 100% worth booking...",
  "operatorComment": "",
  "operatorName": "MacBackpackers",
  "images": [
    "https://cdn.tourradar.com/s3/review/1440/245656_eb4b0837.jpg"
  ]
}

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📊 Use cases

📈 Market research & analytics

Analyze traveler sentiment, satisfaction trends, and review patterns across tours.

🧳 Tour operator benchmarking

Compare tour operators based on ratings, feedback, and customer experience.

🤖 AI & data pipelines

Use structured reviews for:

• NLP models
• Sentiment analysis
• Recommendation systems

📉 Reputation monitoring

Track how tour perception evolves over time.

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⚠️ Notes

• Some reviews may include operator responses
• Not all reviews contain images or traveler count
• Large tours can have thousands of reviews
• Always comply with TourRadar Terms of Service

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💡 Pro tips

• Use recent + cutoff_date for incremental scraping
• Run multiple jobs for large-scale datasets
• Combine with other platforms for multi-source analysis
• Store raw data for future reprocessing and ML pipelines

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⚡ How it works

• Extracts tour ID from page HTML
• Fetches reviews via TourRadar internal API
• Handles pagination automatically
• Supports proxy rotation and retries for reliability

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🧠 Built for scale

This actor is designed with:

• Retry logic & anti-bot handling
• Proxy support
• Clean structured outputs
• Easy integration into data pipelines

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🚀 Ready to scrape?

Start extracting TourRadar reviews and unlock valuable travel insights today.