🏨 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: json [ { "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 --- Start scraping hotel reviews from Trip.com today!