Trip.com Review Scraper

Scrape Trip.com guest reviews — rating, review text, reviewer name and region, stay date, room type, travel type, language, and photo count — without a Trip.com account, login, or official API. The Trip.com Review Scraper takes a Trip.com hotel URL or numeric hotel ID and returns clean structured JSON for hotel reputation monitoring, guest-sentiment analysis, and competitor review research.

What is the Trip.com Review Scraper?

The Trip.com Review Scraper is an Apify Actor that extracts guest reviews from Trip.com hotel pages. Give it a hotel URL or hotel ID (or a batch of them) and it returns one flat JSON row per review with the rating (Trip.com's 0–10 scale), the full review text, the reviewer's name and region, the stay date, room type, travel type, language, a recommendation flag, and the number of photos attached. The hotel's ID, name, and URL are repeated on every row. Output is ready for text analysis, Excel, or an API integration.

How to scrape reviews for a Trip.com hotel

1. Open the hotel's Trip.com page and copy its URL (e.g. https://www.trip.com/hotels/shanghai-hotel-detail-431900/...) or the numeric hotel ID (431900).
2. Put it in hotel, or use hotels for a batch.
3. Set maxItems — the cap on review rows per hotel.
4. Keep proxyConfiguration on residential (strongly recommended).
5. Click Start. Export as JSON, CSV, Excel, or via the dataset API.

What data can I extract from Trip.com reviews?

Field	Type	Description
status	string	success, no_reviews, not_found, or error
hotelInput	string	The URL / ID / name you passed in
hotelId	string	Trip.com's internal hotel ID
hotelName	string	Hotel name (best-effort, from the page title)
hotelUrl	string	Canonical Trip.com hotel page URL
reviewId	string	Trip.com's internal review ID
reviewerName	string	Reviewer display name
reviewerRegion	string	Reviewer's country / region
rating	number	Review rating on Trip.com's 0–10 scale
ratingLabel	string	Rating label, e.g. Outstanding
reviewTitle	string	Review headline when present
reviewText	string	Full review text
reviewDate	string	When the review was posted
stayDate	string	Month/date of the stay
roomType	string	Room type the reviewer booked
travelType	string	e.g. Traveling with friends, Business trip
language	string	Review language code
recommend	boolean	Whether the reviewer recommends the hotel
usefulCount	integer	Helpful-vote count
imageCount	integer	Number of photos attached to the review
errorMessage	string	Why a lookup failed

Input example

{
    "hotel": "https://www.trip.com/hotels/shanghai-hotel-detail-431900/meta-tree-hotel-people-s-square-city-center-in-shanghai/",
    "maxItems": 25,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output example

[
    {
        "hotelInput": "https://www.trip.com/hotels/shanghai-hotel-detail-431900/meta-tree-hotel-people-s-square-city-center-in-shanghai/",
        "hotelId": "431900",
        "hotelName": "Meta Tree Hotel, People's Square, City Center In Shanghai",
        "hotelUrl": "https://www.trip.com/hotels/shanghai-hotel-detail-431900/meta-tree-hotel-people-s-square-city-center-in-shanghai/",
        "reviewId": "2078736922",
        "reviewerName": "Anonymous User",
        "reviewerRegion": "Malaysia",
        "rating": 10,
        "ratingLabel": "Outstanding",
        "reviewText": "It was a short and meaningful stay. This hotel was a very strategic place to stay...",
        "reviewDate": "2026-08-25 14:05:56",
        "stayDate": "2026-08-01 00:00:00",
        "roomType": "Deluxe Queen Room",
        "travelType": "Traveling with friends",
        "language": "en",
        "recommend": true,
        "usefulCount": 0,
        "imageCount": 3,
        "status": "success"
    }
]

What you get vs. reading Trip.com reviews manually

Task	Manually on Trip.com	With the Trip.com Review Scraper
Read a hotel's reviews for sentiment	Scroll the review widget	One run, one dataset
Compare several hotels' review volume	Visit each page	Batch hotels, one run
Break reviews down by traveler type or room	Read and tag by hand	travelType / roomType on every row
Track rating trend over time	Manual spreadsheet	Schedule the Actor, diff the dataset
Feed reviews into an NLP pipeline	Manual export	JSON / CSV from the dataset API

How to use it (step by step)

1. Use a hotel URL or numeric ID — these are the reliable inputs. A free-text hotel name is accepted but often resolves to a not_found row.
2. Batch with hotels to cover many properties under one run-start fee.
3. Set maxItems to cap per-hotel review rows.
4. Keep the residential proxy on.
5. Run and export — dataset tab or GET /v2/datasets/{id}/items.
6. Schedule it for ongoing reputation monitoring.

Pricing

Pay-per-event: a small run-start charge, then a per-row charge for each review returned. A small number of review rows per run are free. no_reviews, not_found, and error rows are not charged. Use maxItems to cap per-hotel spend on a large batch. Exact rates are on the Actor's Pricing tab. [PRICING TBD]

FAQ

What is the Trip.com Review Scraper? An Apify Actor that extracts guest reviews from Trip.com hotel pages — rating, full text, reviewer region, stay date, room type, travel type — as structured JSON, CSV, or Excel.

Do I need a Trip.com account, API key, or login? No.

Why is the rating out of 10, not 5? That is Trip.com's own scale; the Actor passes it through unchanged.

Why did I get a no_reviews row? The hotel page loaded but no review data came back for it in that run — try again or verify the hotel URL.

Why did a hotel-name query return not_found? Trip.com's anonymous keyword search does not reliably resolve hotel names. Use a direct hotel URL or numeric ID.

Is this the hotel's full review history? No — it is one batch per hotel per run. Values of maxItems above roughly 30–50 are unlikely to return more than Trip.com hands back in that batch.

What export formats are available? JSON, CSV, Excel, HTML table, RSS, or the Apify dataset API.

Is scraping Trip.com reviews legal? The Actor accesses only publicly available data shown to anonymous visitors. You are responsible for compliant use under Trip.com's terms and the laws that apply to you. Not affiliated with Trip.com.

My other travel scrapers on Apify

Actor	What it does
Trip.com Hotel Scraper	Hotel prices, ratings, and best room rate from Trip.com
Booking.com Review Scraper	Guest review text and scores from Booking.com
Booking.com Listings Scraper	Hotel prices, ratings, and room types from Booking.com
Expedia Review Scraper	Traveler reviews and sentiment from Expedia
Expedia Hotel Scraper	Hotel listings and per-room rates from Expedia
Agoda Review Scraper	Guest reviews and stay details from Agoda
Agoda Hotel Scraper	Hotel details and live city pricing from Agoda
TripAdvisor Review Scraper	Full guest reviews and sub-ratings from TripAdvisor
TripAdvisor Hotel Scraper	Hotel details plus per-OTA room rates from TripAdvisor
Google Hotels Scraper	Hotel prices, ratings, and coordinates from Google Hotels
Airbnb Room Reviews Scraper	Reviews, ratings, and host replies from Airbnb listings
Airbnb Search Scraper	Listings, prices, and hosts from Airbnb search
Airbnb & Vrbo Revenue and Occupancy Estimator	Estimated revenue and occupancy for short-term rentals

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Independent tool, not affiliated with or endorsed by Trip.com. Accesses only publicly available data. Report bugs or request features on the Issues tab.