Trip.com Hotel Reviews Scraper: Extract Guest Reviews at Scale

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What Is Trip.com?

Trip.com is one of the world's largest online travel platforms, offering hotel bookings across hundreds of thousands of properties globally. Its review system aggregates verified post-stay feedback with rich metadata — ratings, room types, travel context, and media. Collecting this data manually is impractical at scale. The Trip.com Hotel Reviews Scraper automates extraction, turning review pages into structured, analysis-ready datasets.

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Overview

The Trip.com Reviews Scraper targets hotel detail pages and extracts all available guest reviews, including multilingual content, media attachments, and granular rating breakdowns. It is built for:

• Hospitality analysts benchmarking guest sentiment across properties
• OTA researchers studying review patterns by travel type or room category
• Reputation management teams monitoring feedback trends over time
• Data scientists building NLP datasets from multilingual hotel reviews

The scraper handles translated reviews, supports bulk URL input, and gracefully skips failed URLs to keep large runs stable.

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Input Format

{
  "urls": [
    "https://www.trip.com/hotels/detail/?cityId=58&hotelId=426551&checkIn=2026-05-23&checkOut=2026-05-24&adult=2&children=0&curr=USD&locale=en-XX"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Type	Description
urls	array	Hotel detail page URLs from Trip.com. Add one per line or use Bulk Edit. Each URL should point to a specific hotel detail page (including hotelId and date parameters). Multiple hotels can be added as separate entries.
max_items_per_url	integer	Maximum number of reviews to collect per URL. Default: 20. Set higher (e.g., 200) for comprehensive review collection on popular properties.
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: true.

Tip: The hotel detail URL contains key parameters like cityId, hotelId, checkIn, and checkOut. The hotelId is the critical identifier — date parameters may affect availability display but the scraper targets review data regardless.

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Output Format

Sample output

{
  "id": 1945384397,
  "useful_count": 0,
  "source": 1,
  "language": "zh",
  "translated_content": "Overall, it exceeded my expectations. For a price of 600+ in this location, it's quite good, especially since it includes breakfast and afternoon tea. This Ctrip voucher deal offered incredible value for money. It was Mother's Day on the day of check-in, and although there wasn't any special gesture, the sweet young lady at the front desk seemed to have upgraded my room. It was on a high floor and very quiet, with a spacious room and a large bed. The pillows were also very comfortable – excellent! 👌\n\nFirst, the positives: The location is superb, the room is spacious and comfortable, and the afternoon tea is better than breakfast. Plus, the 30th floor was a pleasant surprise with drinks, coffee, and toys. Both adults and children were thrilled! On the first day, a toy lost a leg, and on the second day, we found that the hotel had replaced it with a new one – truly fantastic! 👍\n\nNow, for the negatives: The breakfast really isn't worth it; I'd rather book a room-only rate and eat out, perhaps at Sister Hua. The restaurant seriously needs an overhaul, especially since it's on the first floor and the lighting isn't great, which spoiled the breakfast experience. Also, the TV in the room was exceptionally dim. With my aging eyes, I could barely see the screen, and I couldn't figure out how to adjust the brightness, so I barely watched it.\n\nOverall, the value for money is good, and the service is also quite decent. Keep up the good work!",
  "can_mark_useful": true,
  "check_in_date": "2026-05-01 00:00:00",
  "content": "整體超預期，這個地段600+的價位算不錯了，另外還含早含下午茶，攜程這波團券性價比拉滿。入住當天是母親節，雖然沒啥表示但酒店前台小美女貌似給升級了房間，樓層高挺安靜，房間和床都挺大，枕頭也挺舒服，不錯👌\n先説滿意的：地理位置優越、房間寬敞舒適、下午茶比早餐好。另外30樓有驚喜，飲品咖啡和玩具，大人小孩子開心極了，第一天玩了一個玩具少了一條腿，第二天就發現酒店給換了個新的，真棒👍。\n再説不好的：早餐真的算了不吃也罷，不如凈價訂房出去吃個華姐。餐廳真該整一下了，因為在一樓光線也不行，吃個早餐影響心情。還有就是房間的電視特別暗，我這老眼昏花，基本看不清屏幕，也不知道怎麼能調亮色，所以基本沒看了。\n總體來説性價比可以，服務也還不錯，繼續保持！",
  "create_date": "2026-05-12 15:54:35",
  "image_list": [
    "https://ak-d.tripcdn.com/images/0236612000sgdh9s685A5_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0236w12000sgdhlbe4C7F_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0235q12000sgdgzjr55D5_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0231l12000sgdhlbg0BCE_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0233u12000sgdhmsv2BA7_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0235m12000sgdhmsxF67B_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0230r12000sgdh5d81CBC_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0235312000sgdh1og5788_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0231s12000sgdh9shFF0E_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0233b12000sgdi1ts152B_R_150_150_R5_Q70_D.png",
    "https://ak-d.tripcdn.com/images/0236v12000sgdi1tw8102_R_150_150_R5_Q70_D.png"
  ],
  "rating": 9.5,
  "rating_max": 10,
  "comment_level": "Amazing",
  "room_type_name": "City View Room (High Floor With Panoramic Views + Breakfast & Hong Kong-Style Afternoon Tea + Unlimited High-Speed 5G Wi-Fi)",
  "travel_type": 30,
  "travel_type_text": "Family",
  "translate_from_real_review": "Translation provided by AI",
  "feedback_list": [
    {
      "content": "感謝閣下入住及對我們的讚許。期待再次為閣下服務！「讓客人享受舒適的入住體驗」是我們的宗旨，歡迎客人住宿期間遇上問題，隨時與我們客服/或大堂經理聯絡",
      "translate_content": "Thank you for your stay and for your kind words. We look forward to serving you again! Our mission is to provide our guests with a comfortable stay. Please feel free to contact our customer service or lobby manager if you encounter any problems during your stay.",
      "language": "zh",
      "type": 3,
      "create_date": "2026-05-12 00:00:00"
    }
  ],
  "user_info": {
    "head_picture_url": "https://ak-d.tripcdn.com/images/27c0812000na9jbqk7A54_C_130_130_Q70.jpg",
    "comment_count": 12,
    "nick_name": "V‍i‍c‍k‍i‍ ‍y‍u‍e‍n‍g",
    "avatar_bg_color": "#966A00",
    "avator_letter": "V",
    "level_info": {
      "cur_level_code": "30",
      "cur_level_name": "钻石贵宾",
      "reward_list": [
        {
          "reward_i_d": "1",
          "category_name": "免费早餐",
          "total_used_count": 2,
          "float_icon_url": "https://pages.c-ctrip.com/wireless-app/imgs/member_rights/hotel_breakfast.png"
        },
        {
          "reward_i_d": "2",
          "category_name": "免费取消",
          "total_used_count": 2,
          "float_icon_url": "https://pages.c-ctrip.com/wireless-app/imgs/member_rights/hotel_cancel.png"
        },
        {
          "reward_i_d": "3",
          "category_name": "延迟退房",
          "total_used_count": 2,
          "float_icon_url": "https://pages.c-ctrip.com/wireless-app/imgs/member_rights/hotel_delay.png"
        },
        {
          "reward_i_d": "4",
          "category_name": "房型升级",
          "total_used_count": 2,
          "float_icon_url": "https://pages.c-ctrip.com/wireless-app/imgs/member_rights/hotel_update.png"
        }
      ],
      "discount": 0.85,
      "level_type": "CTRIP"
    },
    "region_name": "",
    "region_code": ""
  },
  "video_list": [],
  "rating_info": {
    "comment_level": "Amazing",
    "rating_all": "9.5",
    "rating_max": 10
  },
  "feedback_security_key": "PLVZdvPtIWPPXH0ACUr9MlTcCG8KQYN2NYzbdaWrneAHR6WKZjgqKg==_review_1945384397",
  "from_url": "https://www.trip.com/hotels/detail/?cityId=58&hotelId=426551&checkIn=2026-05-23&checkOut=2026-05-24&adult=2&children=0&subStamp=400&crn=1&ages=&travelpurpose=0&curr=VND&link=title&hoteluniquekey=H4sIAAAAAAAA_-PawcTFJMEkxMTBKLWWiWN2w-cXLI5vAnfItQq3OHgCqdeBG9ocAngKGUAgocqhkRHM8ilymMQ4nZETKL9Dbt0UB0Gw6JSJDkpOHLf3LXESUJSYfnPhcyYFRk2wzIRSB0MYw2K3hCPMEE8YI4iFY_mhwCgWjilLXZXEOfr_7bYQaGCUWPtpyWpGBUaLveJBDFEMSvIKLBDzHIKh5gEZFs84gbpnzhaKYnBi5Wi82880g3F7i9RGxjQQeBbisIOR6QTjg1kzGBcwzWlg28UEUXSIiYXj4RPhU0wMl5gYbjExPALyD9xNfsXE8IkJ7IxfUIVNzAxdzAyTmMHKZzGDVS1iZpDiTUtKTjJPskw2NTJPNFYQ0ri9-8gFNiOlSYxMERGnGKUMzc0tTQ3MTI2MTIxM9IwsjCyDXILSU13c0q2YpRjdPBiD2CwsXU1cDaO0uJg9vF0Ej6gen3vp4Gt7KeYwPxdFjpw8f_bnBvZaIDlDmFwSa2qebkRERrdoAWMXI4cAowdjBGMF4ytGkJ4fIH8DAI0Icq7TAQAA&subChannel=&masterhotelid_tracelogid=fbcb7b9c527a3&NewTaxDescForAmountshowtype0=T&detailFilters=17%7C1%7E17%7E1*80%7C0%7C1%7E80%7E0&hotelType=normal&display=exavg&barcurr=USD&locale=en-XX&isRightClick=T"
}

Each review is returned as a structured record with the following fields:

Review Identity & Source

Field	Meaning
ID	Unique identifier for the review record
Source	Platform or channel the review originated from (e.g., Trip.com, partner OTA)
Language	Language code of the original review content
Feedback Security Key	Internal key used to validate review authenticity

Review Content

Field	Meaning
Content	Original full text of the guest review
Translated Content	Machine-translated version of the review (if original is non-English)
Translate From Real Review	Boolean indicating whether the translation is sourced from the actual review text
Comment Level	Categorization of review depth or quality tier

Ratings

Field	Meaning
Rating	Numeric score given by the reviewer
Rating Max	Maximum possible score (used to normalize the rating, typically 5 or 10)
Rating Info	Breakdown of sub-ratings (e.g., cleanliness, service, location, facilities)

Stay Context

Field	Meaning
Check In Date	Date the reviewer checked in
Room Type Name	The room category the guest stayed in (e.g., Deluxe King, Standard Twin)
Travel Type	Numeric code for travel purpose (e.g., business, leisure, family)
Travel Type Text	Human-readable label for the travel type

Engagement & Interaction

Field	Meaning
Useful Count	Number of times other users marked the review as helpful
Can Mark Useful	Boolean indicating whether the current session can upvote this review
Feedback List	Hotel management responses or follow-up comments on the review

Dates

Field	Meaning
Create Date	Timestamp when the review was submitted

Media

Field	Meaning
Image List	Array of image URLs attached to the review
Video List	Array of video URLs attached to the review

User

Field	Meaning
User Info	Reviewer profile metadata (display name, membership level, review count, avatar — subject to Trip.com's data availability)

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How to Use

1. Get hotel URLs — Open any hotel on Trip.com and copy the full detail page URL (ensure it contains hotelId).
2. Paste into urls — Add one or more URLs to the array. Use Bulk Edit for large lists.
3. Set review limit — Adjust max_items_per_url based on how many reviews per hotel you need. For full coverage on popular properties, set to 200 or higher.
4. Enable fault tolerance — Keep ignore_url_failures: true for multi-hotel runs.
5. Run and export — Download results as JSON or CSV for analysis.

Common issues:

• URLs without a valid hotelId parameter will likely return no reviews.
• Highly parameterized URLs (with hoteluniquekey) are valid inputs — the scraper parses the underlying hotel ID automatically.

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Use Cases & Business Value

• Sentiment analysis: Feed Content and Rating fields into NLP pipelines to measure guest satisfaction by property or region
• Competitive benchmarking: Compare ratings and feedback themes across competitor hotels in the same city
• Multilingual research: Use Translated Content to normalize reviews across languages for global datasets
• Media collection: Aggregate Image List and Video List for visual content analysis or training datasets
• Review authenticity research: Leverage Source, Feedback Security Key, and User Info to study review patterns

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Conclusion

The Trip.com Hotel Reviews Scraper delivers one of the richest review datasets available in the hospitality space — covering everything from raw guest text to media, ratings breakdowns, and travel context. Whether you're building a sentiment dashboard or benchmarking property performance, this scraper provides the structured foundation you need.