Tiket.com Reviews Scraper: Extract Hotel Reviews & Ratings at Scale

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What Is Tiket.com?

Tiket.com is one of Southeast Asia's leading online travel agencies (OTAs), offering hotel bookings, flights, and experiences primarily serving the Indonesian market. Its review system provides valuable guest feedback data covering ratings, travel context, and user-generated content. Collecting this data manually is impractical at scale — the Tiket.com Reviews Scraper automates extraction from any hotel review page, delivering structured records ready for analysis.

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Overview

The Tiket.com Reviews Scraper collects guest reviews from hotel listing pages on Tiket.com. It supports:

• Reputation managers monitoring guest sentiment across properties
• Hospitality analysts benchmarking hotel performance
• OTA researchers studying review patterns and traveler behavior
• Developers feeding review data into CRM or BI pipelines

Key features include flexible sort order, pagination control, configurable item limits, and fault-tolerant URL handling.

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Input Format

{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://www.tiket.com/en-us/review?product_type=TIXHOTEL&searchType=INVENTORY&inventory_id=nikhila-seminyak-bali-503001647484278823&reviewSubmitColumn=RATING_SUMMARY&currency=USD"
  ],
  "page": 2,
  "sort_by": "RATING_SUMMARY-DESC"
}

Field	Type	Description
urls	array	Review page URLs for target hotels. Navigate to a hotel's review tab on Tiket.com and copy the full URL. Supports bulk input.
sort_by	string	Sort order for reviews. Options: REVIEW_DATE-DESC (Newest), HELPFULNESS-DESC (Most helpful), RATING_SUMMARY-DESC (Highest rating), RATING_SUMMARY-ASC (Lowest rating)
page	integer	Page number to start scraping from. Default: 1. Use 2+ to skip already-collected pages in incremental runs.
ignore_url_failures	boolean	If true, the scraper continues when a URL fails instead of stopping the entire run. Recommended for bulk jobs.
max_items_per_url	integer	Maximum reviews collected per URL. Default: 20. Increase up to your needed volume (e.g., 200).

Tip: To collect reviews for multiple hotels, add each hotel's review URL as a separate entry in the urls array.

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Output Format

Sample output

{
  "submit_id": "69c0303dcbb93d44963b0fbb",
  "start_journey": 1765497600000,
  "end_journey": 1765756800000,
  "rating_summary": 5,
  "customer_name": "Prisilia Febriyanti",
  "fake": false,
  "label": "Couple Trip",
  "comments": [
    {
      "question_code": "comment",
      "question_title": "Your Review:",
      "value": "Cleanliness is striking. Comfortable rooms."
    }
  ],
  "user_review_answers": [
    {
      "question_type": "RATING",
      "question_code": "cleanliness",
      "question_title": "Cleanliness",
      "answer_code": "option_5",
      "answer_string": "Fantastic",
      "answer_integer": 5
    },
    {
      "question_type": "RATING",
      "question_code": "service",
      "question_title": "Service",
      "answer_code": "option_5",
      "answer_string": "Fantastic",
      "answer_integer": 5
    },
    {
      "question_type": "RATING",
      "question_code": "location",
      "question_title": "Location",
      "answer_code": "option_5",
      "answer_string": "Fantastic",
      "answer_integer": 5
    },
    {
      "question_type": "RATING",
      "question_code": "facilities",
      "question_title": "Facilities",
      "answer_code": "option_5",
      "answer_string": "Fantastic",
      "answer_integer": 5
    },
    {
      "question_type": "RATING",
      "question_code": "value_for_money",
      "question_title": "Value",
      "answer_code": "option_5",
      "answer_string": "Fantastic",
      "answer_integer": 5
    },
    {
      "question_type": "IMAGE_OPTION",
      "question_code": "type_of_traveler",
      "question_title": "What trip did you take during your stay?",
      "answer_code": "couple",
      "answer_string": "Couple Trip",
      "answer_integer": null
    }
  ],
  "user_images": [],
  "total_like": 0,
  "reported": false,
  "total_items": 1,
  "liked_by_me": null,
  "review_date": 1774202941731,
  "review_source": {
    "name": "TIKET",
    "label": "Verified review from tiket.com"
  },
  "from_url": "https://www.tiket.com/en-us/review?product_type=TIXHOTEL&searchType=INVENTORY&inventory_id=nikhila-seminyak-bali-503001647484278823&reviewSubmitColumn=RATING_SUMMARY&currency=VND"
}

Each review returns a record with the following fields:

Review Identity

Field	Meaning
Submit ID	Unique identifier for the review submission
Review Date	Date the review was posted on Tiket.com
Review Source	Platform or channel through which the review was submitted

Reviewer Info

Field	Meaning
Customer Name	Display name of the reviewer
Fake	Flag indicating whether the review has been flagged as potentially inauthentic
Reported	Whether the review has been reported by other users

Travel Context

Field	Meaning
Start Journey	Check-in or trip start date associated with the stay
End Journey	Check-out or trip end date
Label	Travel type label (e.g., couple, family, solo) if provided

Review Content

Field	Meaning
Rating Summary	Overall numeric rating given by the reviewer
Comments	Free-text review body written by the guest
User Review Answers	Structured Q&A responses (e.g., answers to prompted review questions)
User Images	Array of image URLs uploaded by the reviewer

Engagement Metrics

Field	Meaning
Total Like	Number of likes the review has received from other users
Liked By Me	Whether the authenticated session liked this review (typically false in scraping context)
Total Items	Total number of reviews available for the property at time of scrape

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How to Use

1. Get the review URL — Open a hotel page on Tiket.com, navigate to the Reviews tab, and copy the URL from your browser.
2. Configure input — Paste URLs into urls, set sort_by and page as needed.
3. Set item limit — Use max_items_per_url to control volume per hotel (e.g., 200 for comprehensive collection).
4. Run the scraper — Start the actor and monitor progress in the run log.
5. Export — Download results as JSON, CSV, or Excel.

Common issues:

• If no data is returned, verify the URL contains product_type=TIXHOTEL and a valid inventory_id.
• Use page: 1 for initial full collection; increment for subsequent runs to capture new reviews only.
• Set ignore_url_failures: true when processing multiple hotel URLs to avoid interruptions.

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Use Cases & Business Value

• Reputation monitoring: Track guest sentiment trends over time for one or multiple properties
• Competitor analysis: Compare rating distributions across competing hotels in the same destination
• Content analysis: Extract guest language patterns for marketing copy or service improvement
• Academic research: Study traveler behavior and review authenticity in Southeast Asian OTA markets

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Conclusion

The Tiket.com Reviews Scraper delivers structured, comprehensive hotel review data without manual effort. With support for sorting, pagination, and bulk URL input, it scales from single-property monitoring to market-wide research. Start collecting today and turn guest feedback into actionable intelligence.