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TripAdvisor Hotel Reviews Scraper

TravelMCP
Get hotel reviews (hotel name, rating/ user name/ review content, etc.) from Tripadvisor by Hotel URL.
Standard&höhere
Zugangsebene
Unterstützter Modus
$0,8/1000 Zeilen
Kosten der Nutzung
2026/06/19
Zuletzt aktualisiert
Versuchen!

📌 What hotel and traveler review data can you collect from Tripadvisor?

This template collects structured records from reviews pages, including HotelName, Hotel_location, Hotel_number, Hotel_rating, Number_of_review, Location_rating, Rooms_rating, Value_rating, Cleanliness_rating, Service_rating, Sleep_quality_rating, Hotel_Class and other published output fields. It is useful for hospitality teams, travel analysts, reputation managers, and researchers.

Data is collected from Tripadvisor. Tripadvisor helps travelers compare hotels and other travel businesses using listings, ratings, and reviews.


💰 Pricing

Current price: $0.8/1,000 lines. Billing is based on the number of output lines produced by the task.


📦 Output

The current published implementation can return the following fields:

  • msg_type
  • content
  • HotelName
  • Hotel_location
  • Hotel_number
  • Hotel_rating
  • Number_of_review
  • Location_rating
  • Rooms_rating
  • Value_rating
  • Cleanliness_rating
  • Service_rating
  • Sleep_quality_rating
  • Hotel_Class
  • Current_page_URL
  • CurrentReviewPage
  • User
  • User_Address
  • Country
  • Contributions
  • Helpful_votes
  • Rating
  • Title
  • Review
  • Date_of_stay
  • Review_Date
  • Trip_type
{
  "msg_type": null,
  "content": null,
  "HotelName": "ARIA Resort & Casino",
  "Hotel_location": "3730 Las Vegas Boulevard South, Las Vegas, NV 89158-4300",
  "Hotel_number": "89158-4300",
  "Hotel_rating": "4",
  "Number_of_review": "37015",
  "Location_rating": null,
  "Rooms_rating": null,
  "Value_rating": null,
  "Cleanliness_rating": null,
  "Service_rating": null,
  "Sleep_quality_rating": null,
  "Hotel_Class": null,
  "Current_page_URL": "https://www.tripadvisor.com//Hotel_Review-g45963-d91925-Reviews-ARIA_Resort_Casino-Las_Vegas_Nevada.html",
  "CurrentReviewPage": "1",
  "User": "S T",
  "User_Address": null,
  "Country": null,
  "Contributions": null,
  "Helpful_votes": null,
  "Rating": "3",
  "Title": "Be careful on overcharges",
  "Review": "My original review Room refrigerator was not stocked and we got charged 177.50 for items we did not take. We have pictures of the inside of refrigerator and the front desk clerk Victoria told us if we did not take the items we would not be charged. refused to get a supervisor. Tried to explain that items were already missing and an easy fix would be to check the previous guests that were in room and if they were charged and see the refrigerator was not restocked. We still got charged the amount of not taking items. My friend saved up money for us to celebrate my birthday and we would NEVER pay the outrageous prices for the cheap items in stock! Addendum I finally was able to reach out to Brandon the hotel mgr and voiced my concerns. He was pleasant and actively listened to the concerns. He assured me he would address the attitude of the desk clerk Victoria, would look into the procedure of how items are stocked and would reverse the charges. I was skeptical but Brandon kept his word and charges were removed. I also believe in good faith that he will throughly investigate this issue. It’s unfortunate that this issue had to be addressed. Hopefully, this will enable aria to closely examine hospitality practices. I am greatful this was addressed and have a renewed attitude towards aria. Simple word if advise is to carefully monitor bill.",
  "Date_of_stay": "2022-09-30",
  "Review_Date": null,
  "Trip_type": null
}

🎯 Use Cases

  • Use Number_of_review, CurrentReviewPage, Review to analyze customer or audience feedback and sentiment.
  • Use Helpful_votes to compare engagement and response signals.
  • Use Hotel_rating, Location_rating, Rooms_rating to benchmark ratings and reputation.
  • Use Hotel_location, User_Address to segment records by geography.

🐙 Why Octoparse

  • Ready-to-use workflow: The extraction steps for Tripadvisor are already configured, so you do not need to build the scraper from scratch.
  • Flexible execution: Run the ready-made task in the cloud without keeping a local computer online for the collection.
  • Structured, repeatable output: Results are returned as consistent rows that are easier to compare, filter, deduplicate, and process than manually copied pages.
  • Verified input guardrails: The form exposes the current inputs, selectable values, and meaningful limits configured for this template.
  • Practical data handoff: Review results in Octoparse and export or process them using the options supported by your Octoparse environment.

📝 Input

Complete the following fields:

  • Hotel details page URLs (Required) — URL list. Up to 1,000 entries per run.
  • Sort by (default to Most recent) (Optional)
  • language (Optional) — Available options: All languages, English, German, French, Araic, Danish, Greek, Spanish, Indonesian, Italian, Japanese, Korean, Dutch, Norwegian, Portuguese, Russian, Swedish, Thai, Turkish, Chinese(Sim.), Chinese(Trad.), Vietnamese, Hebres.
  • Number of Reviews (Optional)

🚀 How to Use

  1. Open the template and select Try it or Start.
  2. Complete the input fields listed above.
  3. Start the task using the supported cloud run mode.
  4. Review the output rows and export or process the structured data.

⚠️ Limitations

Results depend on what the source site exposes at run time. A listed output field can be empty when the source page does not provide that value. Input limits shown above are enforced by the template.


💡 Tips

Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.


❓ FAQ

How does Octoparse collect data from Tripadvisor?

The template takes the configured Hotel details page URLs (up to 1,000 per run), Sort by (default to Most recent), language, Number of Reviews inputs, opens each supplied URL and follows the configured page loops on Tripadvisor reviews pages, then emits structured rows containing fields such as HotelName, Hotel_location, Hotel_number, Hotel_rating, Number_of_review.

What input does this TripAdvisor Hotel Reviews Scraper require?

Use the fields and accepted values shown in the Input section. Only user-relevant limits and selectable options are listed.

What data can I extract from Tripadvisor?

The current output fields and a representative JSON Data Preview are listed in the Output section. Field availability can vary when the source page does not display a value.

How much does this TripAdvisor Hotel Reviews Scraper cost?

The current price is $0.8/1,000 lines, and billing is based on the number of output lines produced by the task.

Why can some Tripadvisor fields be empty?

Source pages do not always expose every value for every record, and layouts can vary by item, market, or current site response. The template returns a field when the current page provides it.

Can I export the collected Tripadvisor data?

You can review the structured rows in Octoparse and export or process them using the options supported by your Octoparse environment.


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