VOOZH about

URL: https://apify.com/stealth_mode/tiket-reviews-scraper

โ‡ฑ Tiket Reviews Scraper ยท Apify


Pricing

from $1.50 / 1,000 results

Go to Apify Store

Tiket Reviews Scraper

Scrape hotel reviews from Tiket.com including ratings, comments, customer names, images, and engagement metrics. Supports sorting, pagination, and bulk URL input โ€” perfect for hospitality analysts, OTA researchers, and reputation managers.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ Stealth mode

Stealth mode

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a month ago

Last modified

Share

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


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 โ€” the Tiket.com Reviews Scraper automates extraction from any hotel review page, delivering structured records ready for analysis.


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.


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"
}
FieldTypeDescription
urlsarrayReview page URLs for target hotels. Navigate to a hotel's review tab on Tiket.com and copy the full URL. Supports bulk input.
sort_bystringSort order for reviews. Options: REVIEW_DATE-DESC (Newest), HELPFULNESS-DESC (Most helpful), RATING_SUMMARY-DESC (Highest rating), RATING_SUMMARY-ASC (Lowest rating)
pageintegerPage number to start scraping from. Default: 1. Use 2+ to skip already-collected pages in incremental runs.
ignore_url_failuresbooleanIf true, the scraper continues when a URL fails instead of stopping the entire run. Recommended for bulk jobs.
max_items_per_urlintegerMaximum 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.


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

FieldMeaning
Submit IDUnique identifier for the review submission
Review DateDate the review was posted on Tiket.com
Review SourcePlatform or channel through which the review was submitted

Reviewer Info

FieldMeaning
Customer NameDisplay name of the reviewer
FakeFlag indicating whether the review has been flagged as potentially inauthentic
ReportedWhether the review has been reported by other users

Travel Context

FieldMeaning
Start JourneyCheck-in or trip start date associated with the stay
End JourneyCheck-out or trip end date
LabelTravel type label (e.g., couple, family, solo) if provided

Review Content

FieldMeaning
Rating SummaryOverall numeric rating given by the reviewer
CommentsFree-text review body written by the guest
User Review AnswersStructured Q&A responses (e.g., answers to prompted review questions)
User ImagesArray of image URLs uploaded by the reviewer

Engagement Metrics

FieldMeaning
Total LikeNumber of likes the review has received from other users
Liked By MeWhether the authenticated session liked this review (typically false in scraping context)
Total ItemsTotal number of reviews available for the property at time of scrape

How to Use

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

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

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.

You might also like

Tiket Hotels Search Scraper

stealth_mode/tiket-hotels-search-scraper

Scrape hotel search results from Tiket.com including names, star ratings, reviews, room rates, amenities, and 20+ fields per listing. Perfect for travel analysts, OTA developers, and hospitality researchers needing structured accommodation data.

Tiket Hotel Reviews Scraper

shahidirfan/Tiket-Hotel-Reviews-Scraper

Scrape hotel reviews from Tiket, Indonesia's biggest travel platform. Get guest ratings, feedback, scores & property details instantly. Perfect for sentiment analysis, competitor benchmarking, reputation tracking & hospitality market research. Production-ready.

Kayak Reviews Scraper

stealth_mode/kayak-reviews-scraper

Scrape hotel reviews from KAYAK.com/hotelscombined.com effortlessly. Collect scores, reviewer comments, ratings, author info, and source details โ€” up to 200 reviews per hotel URL. Perfect for hospitality analysts, OTA researchers, and reputation managers.

Trip Hotels Reviews Scraper

stealth_mode/trip-hotels-reviews-scraper

Scrape verified guest reviews from Trip.com hotel pages โ€” including ratings, room types, travel purpose, images, and translated content. Perfect for hospitality analysts, OTA researchers, and reputation management teams needing structured review data.

Oyorooms Reviews Scraper

stealth_mode/oyorooms-reviews-scraper

Scrape guest reviews from OYOrooms.com by hotel ID. Collect review text, ratings, usernames, images, and dates โ€” up to 200 reviews per run. Perfect for hospitality analysts, reputation managers, and market researchers.

Ostrovok Reviews Scraper

stealth_mode/ostrovok-reviews-scraper

Scrape guest reviews from Ostrovok.ru hotel pages including ratings, traveller types, trip context, wifi quality, and staff replies. Export up to 200 reviews per hotel with flexible sorting โ€” perfect for hospitality analysts and reputation managers.

Wego Reviews Scraper

stealth_mode/wego-reviews-scraper

Scrape hotel reviews from Wego.com by hotel ID, with control over sorting, pagination, and volume. Outputs 13 structured fields including ratings, review content, author info, and provider metadata โ€” perfect for hospitality analytics and reputation monitoring.

Trip Hotels Search Scraper

stealth_mode/trip-hotels-search-scraper

Scrape hotel search results from Trip.com including pricing, ratings, room details, promotions, and location data. Ideal for travel analysts, OTA developers, and hospitality researchers needing structured hotel inventory data at scale.

Booking Reviews Scraper

coder_zoro/booking-reviews-scraper

Extract detailed hotel reviews from Booking.com, including reviewer info, ratings, stay details, and review text. Supports sorting, rating filters, and multiple URLs. Ideal for travel research, sentiment analysis, and hospitality insights.

Traveloka Hotels Search Scraper

stealth_mode/traveloka-hotels-search-scraper

Scrape Traveloka hotel search results with ease. Extract names, ratings, pricing, locations, facilities, reviews, and 50+ fields per property โ€” perfect for travel analysts, OTA developers, and hospitality researchers.