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Trip.com Reviews Scraper — Hotel Guest Reviews & Ratings

A trip.com reviews scraper that returns every guest review a hotel has, as structured rows: trip.com ratings on both the 0–10 and 5-star scales, the rating word, the four sub-scores (location, cleanliness, service, amenities), the review text in the language it was written in, posting and check-in dates, room type, traveler type, reviewer name and country, photos, and the hotel's public reply. Because Trip.com is Ctrip's international brand, the same rows are ctrip reviews — the Chinese-language corpus that no other OTA carries — alongside the Expedia-group reviews Trip.com aggregates. It turns trip.com hotel reviews into hotel review data you can query: a hotel review scraper built for bulk work, not one page at a time.

Run Trip.com Reviews Scraper on Apify →

Trip.com reviews scraper pricing: what one row costs

$0.004 per review row. Hotel rows, status rows, filtered reviews, hotels with no reviews, unknown ids and failed hotels are free. A 95-review property costs $0.38 in full; the same property as a daily complaints feed costs a fraction of a cent per day. Apify's platform usage (a few seconds of compute per hotel) is separate and small: the verified runs below used well under a cent each.

Bulk hotel reviews at scale: 1,000 hotels × 200 most-recent reviews = 200,000 rows = $800, delivered in an afternoon with 16 sessions. The pocket's leading actor charges the same per review; the difference is what you get per row and what you never pay for.

Trip.com reviews scraper input reference

Every field of Trip.com Reviews, straight from the actor's input schema.

Example input

{
  "startUrls": ["https://www.trip.com/hotels/lisbon-hotel-detail-2561632/valverde-hotel/"],
  "maxReviewsPerHotel": 0,
  "reviewsSort": "most_recent",
  "maxRating": 6,
  "requireText": true
}

{
  "hotelIds": ["2561632", "100632153", "3064303"],
  "maxReviewsPerHotel": 0,
  "languages": ["English", "Chinese"],
  "reviewsSort": "most_relevant"
}

Trip.com reviews scraper output fields

One row per guest review (charged), plus a free hotel context row and a free status row per property.

Dataset views in the Apify Console: Overview, Reviews, Low scores, Hotels, Run status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "review",
  "review_id": "2067108455",
  "hotel_id": "2561632",
  "hotel_name": "Hotel Valverde Lisboa - Relais & Chateaux",
  "rating": 9.7,
  "rating_5": 4.85,
  "rating_text": "Amazing",
  "rating_location": 10,
  "rating_facility": 9.5,
  "rating_service": 10,
  "rating_room": 9.5,
  "text": "非常精緻的小型酒店，新裝修的設施很新，床品舒適…",
  "language": "zh",
  "recommend": true,
  "review_date": "2026-08-17T06:13:30",
  "check_in": "2026-08-01",
  "room_type": "Classic Room",
  "travel_type": "Couple",
  "reviewer_name": "Xiaoyufeifeijiejie",
  "reviewer_country": "China",
  "reviewer_country_code": "CN",
  "reviewer_reviews": 10,
  "reviewer_level": "Review Specialist",
  "helpful_votes": 0,
  "images": ["https://ak-d.tripcdn.com/images/…_W_1280_853_R5_Q70.jpg"],
  "source": "ctrip",
  "response": "Dear Guest, Thank you very much for your wonderful review…",
  "response_date": "2026-08-19",
  "url": "https://www.trip.com/hotels/lisbon-hotel-detail-2561632/valverde-hotel/",
  "locale": "en-US",
  "fetched_at": "2026-08-29T04:30:12+00:00"
}

Trip.com reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/trip-com-reviews-scraper").call(run_input={
    "hotelIds": ["2561632"],
    "maxReviewsPerHotel": 0,
    "reviewsSort": "lowest_rated",
    "maxRating": 6,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["rating"], row["language"], row["travel_type"], row["text"][:80])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/trip-com-reviews-scraper').call({
    startUrls: ['https://www.trip.com/hotels/lisbon-hotel-detail-2561632/valverde-hotel/'],
    maxReviewsPerHotel: 200,
    languages: ['English'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const reviews = items.filter((r) => r.type === 'review');
console.log(reviews.length, 'reviews; replied to:', reviews.filter((r) => r.response).length);

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~trip-com-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"hotelIds": ["2561632"], "maxReviewsPerHotel": 50, "reviewsSort": "most_recent"}'

The same three calls are runnable files in the examples repository: examples/trip-com-reviews-scraper.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a Trip.com API key or login?

No. It calls the same JSON endpoint Trip.com's own review panel uses, with the request head a browser sends. There is no public trip.com api for reviews, and this is how to get trip.com reviews without api access.

Can I download Trip.com reviews as CSV or Excel?

Yes. Every run writes an Apify dataset; open the Reviews view and export it as CSV, Excel, JSON or XML, or fetch it from the API with ?format=csv.

How do I get only Trip.com negative reviews?

Set maxRating to 6 (or whatever your threshold is), reviewsSort to lowest_rated, and optionally requireText: true. Only the complaints are delivered and billed.

Are Ctrip reviews included?

Yes. Trip.com is Ctrip's international brand and the review endpoint serves ctrip hotel reviews with source: "ctrip", mostly in Chinese. Use languages to keep or drop them.

Do I need the hotel id, or can I use the URL?

Either. The id is the number after hotel-detail- in any Trip.com hotel URL; a URL is resolved without loading the page.

How many reviews can one hotel return?

All of them — set maxReviewsPerHotel to 0. Trip.com pages 100 at a time; the actor walks the pages until Trip.com runs out and dedupes by review_id.

Are reviews translated, and which languages come back?

Reviews arrive in the language they were written in, tagged in language. The hotel row lists every language the property's reviews come in, with counts, so you can decide what to keep. Multi language hotel reviews are the norm on Trip.com: expect English, Chinese, Japanese, Korean and the local language together.

Does it include the hotel's replies?

Yes: response and response_date, when the hotel replied. Reply rate is a useful management signal in itself.

Can I use it as a general hotel review aggregator?

For Trip.com and what Trip.com aggregates (Ctrip, Expedia, Hotels.com), yes. For a true hotel review aggregator across OTAs, pair it with the Agoda and Airbnb review scrapers below — the rows share the same shape, so one table holds all three.

Can I scrape Trip.com reviews without an API?

That is what this is. No key, no browser automation, no rate-limit babysitting: the actor handles proxies, pacing and retries.

What does bulk work cost?

$0.004 per review, nothing else from the actor. 10,000 reviews is $40. See the cost section above for the platform-usage note.

How to use Trip.com Reviews Scraper

• How to Monitor Hotel Reputation Across OTAs — A daily feed of new guest reviews from every OTA a hotel sells on, normalised to one scale, at a cost measured in cents per property per month.

Related scrapers

• Booking.com Reviews Scraper — the largest hotel review corpus, by URL, name or id, no browser.
• HRS Reviews Scraper — HRS (hrs.com) guest ratings by URL or hotel id, twenty hotels per request, filtered by traveller type and language before billing.
• Kurzurlaub Reviews Scraper — German short-break hotel ratings (Hotelbewertungen) with per-area scores, by URL or id, complaints filtered before billing.
• Agoda Reviews Scraper — Agoda hotel reviews with separate positives and negatives, by hotel name, URL or id.
• Airbnb Reviews Scraper — every guest review of an Airbnb listing.
• Google Hotels Prices Scraper — hotel prices and every booking site's rate for a stay, Trip.com included.
• Hotel Rate Parity Checker — one row per hotel with every OTA's rate side by side and the parity math done.

Run Trip.com Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/trip-com-reviews-scraper