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

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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.

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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

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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

Field	Type	Description
tour_id	string	The numeric ID extracted from the Tiqets listing URL (e.g., 141867 from /en/musee-dorsay-tickets-l141867/)
sort_by	string (enum)	Sort order for reviews. Options: relevance-desc (Relevance), date-desc (New to Old), date-asc (Old to New), rating-desc (High to Low), rating-asc (Low to High)
page	integer	Page number to start collecting from. Default: 1. Use 2+ to resume or skip already-collected pages
max_items_per_url	integer	Maximum reviews to collect per run. Default: 20. Set up to 200+ for bulk collection
ignore_url_failures	boolean	If true, the scraper continues running when a request fails rather than halting the entire run

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.

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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

Field	Meaning
ID	Unique internal identifier for the review
Review Hash	Fingerprint hash for deduplication across runs
Date	Date the review was submitted
Language	Language the review was written in

Reviewer Info

Field	Meaning
Reviewer	Display name or anonymized identifier of the reviewer
Country	Reviewer's country of origin

Review Content

Field	Meaning
Rating	Numeric score given by the reviewer (typically 1–5)
Body	Full text of the review
Pictures	URLs of photos attached by the reviewer
Media	Additional media assets (videos or supplementary images)

Product & Aggregates

Field	Meaning
Product	Name and metadata of the reviewed attraction or tour
Product Average Rating	Overall average rating across all reviews for this product
Product Total Reviews	Total number of reviews the product has received
Total Helpful Reviews	Number of reviews marked as helpful by other users

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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.

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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

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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.