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Trip.com Reviews Scraper

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from $1.50 / 1,000 results

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Trip.com Reviews Scraper

Trip.com Reviews Scraper

Scrape hotel reviews, ratings, and owner replies from Trip.com by hotel URL or hotel ID.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

One House

One House

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Extract hotel reviews from Trip.com using a hotel page URL or hotel ID.

Ideal for reputation monitoring, competitor analysis, and hospitality data pipelines.

What you get

  • Hotel name, aggregate rating, and review count
  • Review text and title / comment level
  • Rating on Trip.com’s 10-point scale
  • Author name, avatar, and review count
  • Travel date, travel type, and room type
  • Photos and videos (when available)
  • Owner reply text and date
  • Full raw review object for advanced use

How to use

  1. Open this Actor and click Start
  2. Add Trip.com hotel URLs under Hotel URLs, or paste hotel IDs under Hotel IDs
  3. Set Max reviews per hotel (0 = all)
  4. Optionally keep Trip.com reviews only enabled to exclude partner-source mixes
  5. Run and download results from the Dataset tab

Finding the hotel ID

The hotel ID appears in Trip.com hotel URLs, for example:

  • https://www.trip.com/hotels/detail/?hotelId=2509106
  • https://www.trip.com/hotels/.../hotel-detail-2509106/
  • https://tr.trip.com/hotels/.../hotel-detail-2509106.html

Input example

{
"startUrls": [
{ "url": "https://www.trip.com/hotels/detail/?hotelId=2509106" }
],
"maxReviews": 100,
"nativeOnly": true
}

Output example

Each dataset item is one review:

{
"reviewId": "1864052832",
"hotelId": "2509106",
"hotelName": "Example Hotel",
"title": "Outstanding",
"text": "Great stay, excellent food and service.",
"rating": 10,
"ratingScale": 10,
"authorName": "Guest User",
"publishedAt": "2026-03-03T00:52:50.000Z",
"travelDate": "2026-02-01T00:00:00.000Z",
"travelTypeText": "Family",
"replyText": null,
"source": "tripcom",
"scrapedAt": "2026-07-11T12:00:00.000Z"
}

A hotel summary is also saved in the key-value store as HOTEL_INFO_{hotelId}.

Tips

  • Use maxReviews to control cost on hotels with many reviews.
  • Ratings on Trip.com use a 1–10 scale (ratingScale: 10).
  • Add multiple hotel URLs in one run to batch scraping.
  • Enable Apify Proxy if you scrape large volumes.

Limitations

  • Only public Trip.com hotel reviews are returned.
  • Some hotels may have fewer native Trip.com reviews than the total count shown on the page.