Trip.com & Ctrip Reviews Scraper — Hotel Ratings, AI Translations, Category Scores & Photos

The most complete Trip.com and Ctrip hotel-review extractor on Apify. Pull real guest reviews from Trip.com Group — the largest online travel company in Asia and one of the biggest in the world — with the full review text plus its AI translation, a 0–10 rating, per-review category scores, traveler type, the exact room stayed in, reviewer photos and videos, and each hotel's overall score, review distribution and AI summary. One API covers both Trip.com and Ctrip reviews.

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🎯 What this actor does

The Trip.com & Ctrip Reviews Scraper extracts live guest reviews from Trip.com and Ctrip (携程) — the two flagship hotel-booking brands of Trip.com Group, dominant across China and Asia-Pacific and used by travelers worldwide. Give it a hotel URL or ID and it returns every guest review, one clean row per review, enriched with the hotel's full rating breakdown.

Trip.com reviews are exceptionally rich, and this actor captures all of it — including the on-platform AI translation of every foreign-language review, so Chinese, Korean and Japanese guest feedback becomes readable English (or the language of your choice) automatically.

Each record can include:

• ⭐ Rating — 0–10 overall score plus the reviewer's own location / facilities / service sub-scores
• 💬 Review text — original content and its AI translation
• 🌏 Traveler context — traveler type (Business, Family, Couple, Solo…), reviewer region and reviewer grade
• 🛏️ Room booked — the exact room type the guest stayed in
• 📸 Media — reviewer photos and videos, with counts
• 🗓️ Dates — review date and check-in date
• 🏨 Hotel summary — overall score, category scores, review distribution (positive / negative / with media) and an AI review summary
• 🕒 Metadata — scrapedAt ISO timestamp on every row

Whether you manage a hotel, run a travel-analytics product, or research the Asian hospitality market, this actor is the fastest path from Trip.com to a usable dataset — no scraping code required.

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✨ Why this actor

✅ This actor handles	❌ What you'd fight doing it yourself
Both Trip.com & Ctrip from one input	Two brands, one review pool — needs the right API
AI translations captured with originals	Chinese/Korean/Japanese reviews need translating
Full pagination — every review	Popular hotels have thousands of reviews
Per-review category scores	Sub-scores are nested and easy to miss
Traveler type, room & media mapped	Encoded fields that need decoding
Hotel summary + AI overview attached	Lives on the page, not in the review
Clean deduplicated rows	Reviews repeat across pages and need de-duping

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🚀 Quick start

One-click run

1. Open the actor on the Apify Store and click Try for free
2. Paste one or more Trip.com/Ctrip hotel URLs into Hotel URLs — e.g. https://www.trip.com/hotels/bangkok-hotel-detail-1735479/
3. Pick a locale, optional language / traveler-type filters, and set Max reviews per hotel (0 for everything)
4. Hit Start — reviews stream into your dataset, ready to export as JSON, CSV, Excel, HTML or RSS

Run via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "startUrls": [
        "https://www.trip.com/hotels/bangkok-hotel-detail-1735479/"
    ],
    "locale": "en-US",
    "maxReviewsPerHotel": 200,
    "includeHotelInfo": True,
}

run = client.actor("haketa/trip-com-reviews-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rating"], item["travelType"], "|", item["translatedContent"] or item["content"])

Run via API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('haketa/trip-com-reviews-scraper').call({
    startUrls: ['https://www.trip.com/hotels/bangkok-hotel-detail-1735479/'],
    locale: 'en-US',
    maxReviewsPerHotel: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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⚙️ Input

Field	Type	Default	Description
startUrls	array	–	Trip.com / Ctrip hotel page URLs. All reviews are collected for each hotel.
hotelIds	array	–	(Advanced) Numeric hotel IDs — the number in ...-hotel-detail-{id}/.
locale	enum	en-US	Trip.com locale (interface language & default translation target).
reviewLanguage	enum	all	Only collect reviews originally written in this language. Translations are always included.
travelType	enum	all	Only collect reviews from this traveler type (Business, Couple, Family, Friends, Solo).
maxReviewsPerHotel	integer	200	Max reviews per hotel. 0 = all available.
includeHotelInfo	boolean	true	Fetch the hotel name and attach overall score, category scores, distribution and AI summary.
proxyConfiguration	object	Apify Proxy	Proxy settings — recommended for reliable results at scale.

📋 How to get a hotel URL

1. Open trip.com (or ctrip.com) and open any hotel
2. Copy the address-bar URL — it looks like .../hotels/bangkok-hotel-detail-1735479/
3. Paste it into Hotel URLs. Add as many as you like.

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📤 Output

One clean record per review, enriched with hotel context:

{
  "reviewId": "2034833812",
  "hotelId": "1735479",
  "hotelName": "Ploy Hostel",
  "userName": "Guest User",
  "userRegion": "Hong Kong, China",
  "userGrade": "Review Specialist",
  "userReviewCount": "15",
  "rating": "10",
  "ratingLocation": "10",
  "ratingFacility": "10",
  "ratingService": "10",
  "recommend": "true",
  "content": "酒店就在市中心，步行可達各大商圈和景點...",
  "translatedContent": "The hotel is right in the city center, within walking distance to major shopping areas...",
  "language": "zh",
  "travelType": "Solo traveler",
  "roomName": "Bed in Mixed Dormitory Room (Mixed Gender)",
  "createDate": "2026-07-24 18:39:53",
  "checkinDate": "2026-07-01 00:00:00",
  "usefulCount": "0",
  "imageCount": "2",
  "images": "https://ak-d.tripcdn.com/images/... | ...",
  "videoCount": "0",
  "hotelScore": "6.6",
  "scoreLocation": "7.3",
  "scoreFacility": "6.1",
  "scoreService": "6.6",
  "hotelTotalReviews": "1389",
  "positiveReviews": "1125",
  "negativeReviews": "264",
  "withMediaReviews": "471",
  "aiSummary": "Location: Conveniently located near city center... | Service: ...",
  "hotelUrl": "https://www.trip.com/hotels/bangkok-hotel-detail-1735479/",
  "scrapedAt": "2026-08-10T17:02:50.249Z"
}

💬 Review fields

Field	Description
reviewId	Unique review identifier
userName · userRegion · userGrade	Reviewer nickname, region and level (e.g. Review Specialist)
userReviewCount	How many reviews the user has written
rating	⭐ Overall rating out of 10
ratingLocation · ratingFacility · ratingService	Reviewer's own sub-scores
recommend	Whether the guest recommends the hotel
content	Original review text
translatedContent	🌏 AI-translated review text
language	Original review language
travelType	Traveler type (Business, Family, Couple, Solo…)
roomName	🛏️ Room the guest stayed in
createDate · checkinDate	Review date and check-in date
usefulCount	How many users found the review useful
imageCount · images · videoCount	📸 Reviewer photos ( `

🏨 Hotel fields (when includeHotelInfo is on)

Field	Description
hotelName · hotelScore	Hotel name and overall score /10
scoreLocation · scoreFacility · scoreService · scoreCleanliness	Hotel category scores
hotelTotalReviews	Total reviews for the hotel
positiveReviews · negativeReviews · withMediaReviews	Review distribution
aiSummary	🤖 AI-generated review summary by aspect
hotelUrl · scrapedAt	Source URL and timestamp

Export everything to JSON, CSV, Excel, HTML or RSS, or pull it through the Apify API and integrations.

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💡 Use cases

Use case	How this actor helps
🏨 Hotel reputation monitoring	Track your Trip.com/Ctrip reviews, scores and photos over time; catch recurring complaints early.
📊 Competitor benchmarking	Pull reviews and category scores for rival hotels and compare location, service and value.
🌏 Asian-market insight	Read Chinese, Korean and Japanese guest feedback in English via built-in AI translation.
💬 Sentiment & voice-of-customer	Feed translated review text and ratings into your NLP or LLM pipeline.
📈 Travel market research	Study traveler-type preferences, room-level feedback and seasonal trends.
🤖 ML / NLP training data	Build large multilingual labeled review datasets (rating, type, room, media).

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❓ FAQ

Does it cover both Trip.com and Ctrip? Yes. Trip.com and Ctrip share a review pool, and this actor pulls both — including reviews originally posted on Ctrip, with AI translation.

Are foreign-language reviews translated? Yes. Every review carries its original content plus a translatedContent field (AI translation into your chosen locale).

How many reviews can I get per hotel? All of them. Set maxReviewsPerHotel to 0 and the actor paginates to the last page. Popular hotels have thousands of reviews.

Do reviews include photos and videos? Yes — reviewer photo URLs are captured in images with counts in imageCount and videoCount.

Do I need a proxy? Apify Proxy is enabled by default and recommended for reliable results at scale.

Which export formats are supported? JSON, CSV, Excel, HTML and RSS, plus programmatic access via the Apify API and integrations (Google Sheets, Zapier, Make, Airbyte and more).

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🔗 Integrations

Send results wherever you work: Google Sheets / Excel, Zapier · Make · n8n, Airbyte / databases / webhooks, and the Apify API for any language.

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⚖️ Legal & responsible use

This actor collects publicly available hotel review information — the same content any visitor can read on a hotel page without logging in. It does not access private data and does not require any user account.

You are responsible for how you use the data. Please:

• Use the output for lawful purposes such as research, analytics, reputation monitoring and benchmarking.
• Respect the reviewed platform's Terms of Service and robots directives.
• Comply with applicable data-protection laws (e.g. GDPR, CCPA) when handling personal data such as reviewer names — aggregate or anonymize where appropriate.
• Do not republish scraped content in a way that infringes copyright or database rights.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Trip.com Group, Trip.com or Ctrip. All product names, logos and brands are property of their respective owners.

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🛟 Support

Need another locale, an extra field, or hit a hotel that won't parse? Open an issue from the actor's Issues tab and we'll take a look.