Trip.com & Ctrip Reviews Scraper

🏨 Trip.com & Ctrip Reviews Scraper

Turn any Trip.com or Ctrip (携程) hotel page into a clean table of guest reviews: rating and sub scores, the original text plus Trip.com's own translation, stay date, traveler and room type, the hotel's reply, photos, reviewer details and the hotel's overall scores. Paste hotel links, set how many reviews you want, and get JSON, CSV or Excel in seconds. No login, no browser, and you only pay for the reviews you save.

✨ Why use Trip.com & Ctrip Reviews Scraper?

• ⚡ Fast — reads Trip.com's own review data 100 reviews per request; 1,000 reviews take well under a minute.
• 🌍 Every market, translated — Chinese, Korean, Japanese and English reviews in one run, with Trip.com's own translation into 16 languages and the original text kept.
• 🎯 Filters that save money — sentiment, traveler type, review language and a date cutoff run on Trip.com's side, so you only pay for matching reviews.
• 🏨 Many hotels per run — paste a list of Trip.com or Ctrip links (any country site) or bare hotel ids; duplicates are removed.
• 💬 Hotel replies and follow-ups — management responses and guests' later comments come with each review.
• 🔓 No login, no cookies — public reviews only, nothing to set up.

🎯 Use cases

• 📈 Reputation monitoring — track new reviews of your hotels every day with Most recent + Reviews newer than.
• 🥊 Competitor benchmarking — compare scores, complaints and praise across the hotels in your city.
• 🧠 Sentiment analysis and AI training — multilingual review text with ratings and translations ready for NLP.
• 🇨🇳 China travel research — Ctrip is where Chinese travelers review hotels; read what they say in your language.
• 🛎️ Service quality — pull only negative reviews to find recurring problems by room type or traveler type.

🚀 How to use

1. Open the actor and paste one or more Trip.com or Ctrip hotel links (or hotel ids) into Hotel URLs or ids.
2. Set Max reviews per hotel (0 = every review).
3. Optional: choose a sort order, a date cutoff, sentiment, traveler type, review language or translation language.
4. Click Start and watch reviews appear in the Output tab.
5. Export to JSON, CSV, Excel or HTML, or read the results through the API.

📥 Input

{
  "hotelUrls": [
    "https://www.trip.com/hotels/shanghai-hotel-detail-346403/grand-hyatt-shanghai/",
    "https://hotels.ctrip.com/hotels/426595.html"
  ],
  "maxReviewsPerHotel": 100,
  "sortBy": "mostRecent",
  "cutoffDate": "2026-09-01",
  "reviewType": "all",
  "translationLanguage": "en-US"
}

📤 Output

One row per review.

{
  "id": 2134272597,
  "hotelId": "346403",
  "hotelName": "Grand Hyatt Shanghai",
  "hotelUrl": "https://www.trip.com/hotels/detail/?hotelId=346403",
  "city": "Shanghai",
  "country": "China",
  "rating": 10,
  "ratingMax": 10,
  "commentLevel": "Outstanding",
  "ratingCleanliness": 10,
  "ratingAmenities": 10,
  "ratingLocation": 10,
  "ratingService": 10,
  "recommend": true,
  "content": "1999年的金茂君悦年頭長了，降低了期望值。其實不錯的……",
  "language": "zh",
  "translatedContent": "Although the Grand Hyatt Jin Mao, built in 1999, is showing its age—which lowered our expectations—it actually turned out to be a great stay. ...",
  "translatedLanguage": "en",
  "translateFromRealReview": "Translation provided by AI",
  "createDate": "2026-10-09 16:42:41",
  "checkInDate": "2026-10-01 00:00:00",
  "travelType": 70,
  "travelTypeText": "Couple",
  "roomName": "Club Room Queen Bed",
  "roomId": 301750431,
  "usefulCount": 0,
  "imageList": ["https://ak-d.tripcdn.com/images/0233b12000u3zzt89AC94_W_1280_853_R5_Q70.jpg?proc=autoorient"],
  "videoList": [],
  "feedbackContent": "尊敬的賓客：感謝您……",
  "feedbackLanguage": "zh",
  "feedbackCreateDate": "2026-10-09 00:00:00",
  "userNickName": "Traveler A.",
  "userRegion": "China",
  "userCommentCount": 30,
  "userLevel": "Review Expert",
  "reviewSource": "ctrip",
  "aggregateReviewScore": 9.4,
  "aggregateReviewMax": 10,
  "aggregateReviewDescription": "Outstanding",
  "aggregateReviewCount": 18859,
  "aggregateReviewSubScore": [
    {"name": "Cleanliness", "score": 9.5},
    {"name": "Amenities", "score": 9.2},
    {"name": "Location", "score": 9.5},
    {"name": "Service", "score": 9.2}
  ],
  "hotelStar": 5,
  "hotelAddress": "No. 88 Shiji Avenue (Check-in, 54th Floor), Pudong New Area, Shanghai, 200121, China",
  "hotelLatitude": 31.235151,
  "hotelLongitude": 121.506082
}

💰 Pricing

You pay $3.00 per 1,000 reviews ($0.003 per review saved), plus a small platform usage fee for compute and proxy traffic. Example: 1,000 reviews ≈ $3.00 in review fees plus well under a cent of usage. Filtered-out reviews and failed requests are never charged, and the run stops cleanly when your maximum charge per run is reached.

❓ FAQ

Is it legal to scrape Trip.com reviews? The actor reads public reviews that anyone can see without an account. Check that your use follows applicable laws and the site's terms, especially for personal data such as reviewer nicknames.

Do I need a Trip.com account or a proxy? No account. A datacenter proxy is preset and works; if datacenter exits are refused, the run switches to residential exits by itself.

How many reviews can I get? All of them: set Max reviews per hotel to 0. Large hotels have tens of thousands of reviews. Trip.com hides "repeat" reviews (a guest's later stays) by default; turn on Include repeat reviews to get them too.

Why is translatedContent empty on some reviews? Trip.com only translates reviews written in another language than the one you chose, and very new reviews are sometimes not translated yet. The original text is always in content.

Do Ctrip links work? Yes. hotels.ctrip.com and m.ctrip.com hotel links, every Trip.com country site (uk.trip.com, de.trip.com, ...) and bare hotel ids all point to the same review pool.

Can I schedule it or use the API? Yes. Schedule the actor (daily with Most recent and Reviews newer than: 1 day is a good monitoring setup) or start runs from the API and read the dataset as JSON, CSV or Excel.

⚠️ Limits

• Hotel reviews only; flights, trains, attractions and tours reviews are not covered.
• Trip.com decides which reviews it translates; the actor does not translate text itself.
• Simplified Chinese (zh-CN) labels are not offered; the review text itself is returned in whatever language it was written.
• Hotel details come from the hotel page; if that page cannot be read, the hotel fields stay empty while reviews are still saved.