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Tiqets.com Reviews Scraper: Extract Tour & Attraction Reviews at Scale

What Is Tiqets.com?

Tiqets.com is a global booking platform for museums, attractions, and experiences, operating in dozens of countries. Each listing accumulates verified post-visit reviews that contain rich signals about customer satisfaction, product quality, and traveler demographics. Collecting this data manually is impractical at scale — the Tiqets.com Reviews Scraper automates extraction from any tour or attraction by ID, returning clean structured records ready for analysis.

Overview

The Tiqets Reviews Scraper targets the review section of any Tiqets product page. It is useful for:

• Travel brands monitoring reputation across their listings
• Market researchers studying traveler sentiment by attraction or region
• Aggregator platforms enriching product pages with review data
• Data analysts building NLP/sentiment pipelines on tourism content

Input Format

The scraper uses a parameter-based input — no URL required. Identify a product by its Tour ID, found in the listing URL:

https://www.tiqets.com/en/musee-dorsay-tickets-l141867/-> Tour ID:141867

{
"tour_id":"141867",
"sort_by":"score_desc",
"page":2,
"max_items_per_url":200,
"ignore_url_failures":true
}

Input Field Reference

Tip: To collect all reviews for a high-volume attraction, set max_items_per_url to a high value and start from page: 1. Use sort_by: date-desc to always capture the most recent reviews first.

Output Format

Sample Record

{
"id":2291072,
"date":"2025-10-22",
"rating":5.0,
"reviewer":"Helene",
"country":{
"name":"United States",
"flag_url":"https://aws-tiqets-cdn.imgix.net/images/flags/US.png?auto=format%2Ccompress&fit=crop&q=70&s=7147173af75f7c738e516fee0287f64f"
},
"pictures":[],
"body":"Booking the tickets was very simple and everything went smoothly. Unfortunately, I had to cancel one of the two, and that went just as easily. Would definitely recommend using Tiqets.",
"language":"en",
"product":{
"title":"Musée d'Orsay: Renoir and Love (1865-1885)",
"url":"/en/things-to-do-in-paris-c66746/tickets-for-orsay-museum-exhibition-p1080858/"
},
"media":[],
"review_hash":"GVM1B0",
"product_average_rating":4.440855323020928,
"product_total_reviews":6594,
"total_helpful_reviews":1,
"from_url":"https://www.tiqets.com/web_api/reviews/venue/141867?page=2&pageSize=20&language=en&sortDirection=desc&sortField=relevance&sort=score_desc"
}

Each review returns the following fields:

Review Identity

Reviewer Info

Review Content

Product & Aggregates

How to Use

1. Find the Tour ID — Open any Tiqets listing. The ID is the number after the final -l in the URL (e.g., /en/louvre-museum-l98234/ → 98234).
2. Set sort order — Use date-desc for fresh reviews; rating-asc to surface critical feedback.
3. Configure page and limit — Start at page: 1 with max_items_per_url matching your target volume.
4. Run and export — Download results as JSON or CSV for use in spreadsheets, BI tools, or NLP pipelines.

Common issues:

• If tour_id is incorrect, the run returns no data. Double-check the URL pattern.
• Set ignore_url_failures: true for uninterrupted bulk runs across multiple tour IDs.

Use Cases & Business Value

• Reputation management: Track rating trends over time for your own or competitor listings
• Sentiment analysis: Feed Body + Language fields into NLP models for multilingual insight
• Content enrichment: Pull review snippets and ratings into third-party travel platforms
• Research: Analyze traveler demographics (Country) and satisfaction patterns by attraction type

Conclusion

The Tiqets.com Reviews Scraper turns a platform's public review data into a structured, analysis-ready dataset with minimal configuration. With flexible sorting, pagination control, and rich per-review output, it is a practical tool for anyone working with travel reputation data at scale.