🏨 Trip Hotel Reviews Scraper

This actor allows you to scrape hotel reviews from Trip.com by providing a hotel detail page URL. It automatically handles pagination and extracts comprehensive review information including ratings, user details, stay information, and review content.

Features

• URL-based Scraping: Extract reviews by providing a complete Trip.com hotel detail page URL
• Automatic Pagination: Automatically navigates through review pages until reaching the end or max items limit
• Comprehensive Review Data: Extract detailed information about each review including:
  • User information (name, avatar, review count)
  • Review ratings and scores
  • Stay details (room type, stay date, trip type)
  • Review text content
  • Review images
  • Helpful votes count
  • Post dates
  • Review metadata (review ID, hotel ID, locale)

Input Parameters

Field	Type	Required	Description
hotelDetailUrl	string	Yes	Complete Trip.com hotel detail page URL
maxItems	integer	No	Maximum number of reviews to fetch
proxyConfiguration	object	No	Proxy settings for the actor

How to Get Hotel Detail URL

1. Go to Trip.com
2. Search for a hotel or navigate to a hotel detail page
3. Copy the complete URL from your browser's address bar
4. Paste it into the hotelDetailUrl field

Example hotel detail URL:

https://www.trip.com/hotels/detail/?cityEnName=Los+Angeles&cityId=347&hotelId=1978099

Output

The output is a dataset of review objects, each containing:

• hotelDetailUrl: The original hotel detail page URL used
• reviewId: Unique identifier for the review
• hotelId: Hotel identifier
• locale: Review locale/language code
• reviewPage: Review page identifier
• userName: Name of the reviewer
• userAvatar: URL of the reviewer's avatar image
• roomType: Type of room stayed in (e.g., "Two Double Room")
• stayDate: Date of stay (e.g., "October 2025")
• tripType: Type of trip (e.g., "Solo traveler", "Family")
• userReviewCount: Total number of reviews written by this user
• score: Review rating score (numeric)
• postedDate: Date when the review was posted
• reviewText: Full text content of the review
• reviewImages: Array of image URLs attached to the review
• helpfulCount: Number of helpful votes the review received
• scrapedAt: Timestamp of when the review was scraped

Example output:

[
  {
    "hotelDetailUrl": "https://www.trip.com/hotels/detail/?cityEnName=Los+Angeles&cityId=347&hotelId=1978099",
    "reviewId": 1722470660,
    "hotelId": 1978099,
    "locale": "en-XX",
    "reviewPage": "10320668147",
    "userName": "P‍a‍u‍l‍ ‍D‍a‍i‍t‍h‍a‍n‍a‍w‍o‍n‍g",
    "userAvatar": "https://ak-d.tripcdn.com/images/0a22w224x935orfwl77C5_W_96_96_R5.webp",
    "roomType": "Two Double Room",
    "stayDate": "October 2025",
    "tripType": "Solo traveler",
    "userReviewCount": 7,
    "score": 7.5,
    "postedDate": "October 23, 2025",
    "reviewText": "Good and clean hotel, but I just wish the staffs there can smile to customers more to make them feel more welcome",
    "reviewImages": [
      "https://ak-d.tripcdn.com/images/0236c324x960v6gkg0BE6_W_150_150_R5.webp"
    ],
    "helpfulCount": 1,
    "scrapedAt": "2025-11-12T05:53:30.770Z"
  },
  ...
]

Use Cases

• Hotel reputation monitoring and analysis
• Customer sentiment analysis
• Competitive hotel research
• Review content analysis for marketing insights
• User behavior and preference tracking
• Quality assurance and service improvement research
• Market research for hospitality industry

Notes

• The actor automatically clicks the reviews tab on the hotel detail page
• Results are saved incrementally as they are found
• All timestamps are in ISO 8601 format
• Review images are provided as full URLs
• The actor handles pagination automatically
• Duplicate reviews are automatically filtered out

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Start scraping hotel reviews from Trip.com today!