Musement Reviews Scraper | Extract Activity, Tour & Attraction Reviews at Scale

Scrape Musement and TUI Musement activity reviews in seconds and turn them into structured datasets for data analysis, market research, sentiment analysis, and travel intelligence.

ℹ️ One scraper, both sites. This Musement Reviews Scraper covers both musement.com and tuimusement.com. They are effectively the same platform (TUI Musement), so a single actor handles reviews from either domain.

This actor extracts real customer reviews including rating, review text, reviewer country, traveler type, and locale --- ready for export to JSON, CSV, Excel, or API pipelines.

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🔥 Why use this Musement & TUI Musement scraper?

• Extract real Musement and TUI Musement reviews at scale
• Get ratings, review text, and reviewer metadata
• Capture traveler type, country, locale, and review date
• Ideal for AI training, analytics, dashboards, and competitor research
• Built for fast, reliable, and scalable scraping

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🚀 Features

• Scrape reviews from Musement and TUI Musement activity URLs
• Extract structured data including:
  • Review text (comment)
  • Rating
  • Traveler type (e.g. Alone, With friends, As a couple, With family)
  • Reviewer country and locale
  • Reviewer age and nickname
• Sorting options:
  • Most relevant
  • Newest to oldest
  • Current language
  • Highest rated
  • Lowest rated
• Incremental scraping via cutoff date
• Export to JSON, CSV, Excel, or integrate via API

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📥 Input

{
  "activityUrl": "https://www.musement.com/uk/barcelona/sagrada-familia-entrance-tickets-with-audioguide-330203",
  "maxReviews": 100,
  "sortBy": "newestToOldest",
  "cutoffDate": "2024-01-01"
}

TUI Musement URL example:

{
  "activityUrl": "https://www.tuimusement.com/uk/spain/barcelona/sagrada-familia-entrance-tickets-with-audioguide/e_ne9wv-d_60-c_161/",
  "maxReviews": 100,
  "sortBy": "newestToOldest",
  "cutoffDate": "2024-01-01"
}

Input parameters

• activityUrl (required): Musement or TUI Musement activity page URL
• maxReviews: Maximum number of reviews to scrape (default: 1000)
• sortBy:
  • mostRelevant
  • newestToOldest
  • currentLanguage
  • highestRated
  • lowestRated
• cutoffDate: Only return reviews newer than this date. When set, results are automatically sorted from newest to oldest.

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📤 Output

Each review is returned as structured data:

{
  "id": "44a211c2-8887-41c2-9fcb-5953d03fec85",
  "date": "2026-07-04 00:00:00",
  "rating": 10.0,
  "reviewerAge": 50,
  "reviewerCountry": "United Kingdom",
  "reviewerNickName": "Jaime P",
  "locale": "en-GB",
  "travelerType": "WITH-FAMILY",
  "comment": "First time I'd booked a transfer via Tui Musement and the service was brilliant. Our flight was delayed by over 6 hours and they kept in contact via Whatsapp to ensure we had a driver on arrival at the airport at 3.15am. The communication and service was excellent."
}

Output fields

• id: Unique review ID
• date: Review date
• rating: Review rating
• reviewerAge: Age of the reviewer
• reviewerCountry: Country of the reviewer
• reviewerNickName: Reviewer nickname
• locale: Review locale (e.g. en-GB, nl-NL)
• travelerType: Traveler type (ALONE, WITH-FRIENDS, AS-A-COUPLE, WITH-FAMILY)
• comment: Review text

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📊 Use cases

📈 Market research & analytics

Analyze customer sentiment, satisfaction trends, and review patterns across activities, tours, and attractions.

🏛️ Competitor benchmarking

Compare experiences based on ratings, feedback, and traveler profiles.

🤖 AI & data pipelines

Use structured reviews for: - NLP models - Sentiment analysis - Recommendation systems

📉 Reputation monitoring

Track how an activity's perception changes over time.

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⚠️ Notes

• Musement and TUI Musement reviews come in multiple languages (see locale)
• Some fields may be missing depending on the review (e.g. travelerType, reviewerNickName, or comment can be empty)
• Popular activities can have thousands of reviews
• Always comply with Musement / TUI Musement Terms of Service

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💡 Pro tips

• Use newestToOldest + cutoffDate for incremental scraping
• Run multiple jobs for large-scale datasets
• Group by reviewerCountry, locale, or travelerType for richer analytics
• Combine with other review sources for multi-platform analysis:
  • Agoda Reviews Scraper → https://apify.com/knagymate/fast-agoda-reviews-scraper
  • Kayak Reviews Scraper → https://apify.com/knagymate/apify-kayak-reviews-scraper
  • Priceline Reviews Scraper → https://apify.com/knagymate/priceline-reviews-scraper
  • Explore all scrapers → https://apify.com/knagymate