Tripadvisor Reviews | Extract Reviews by Location ID

Extract detailed reviews from Tripadvisor by location ID. Get ratings, subratings, review text, photos, user profiles, contributions, and owner responses.

❓ What is Tripadvisor Reviews?

Tripadvisor Reviews is a powerful Apify actor that extracts comprehensive review data from Tripadvisor for any hotel, restaurant, or attraction. Provide a location ID and get all reviews with detailed ratings, user profiles, attached photos, and management responses.

With this Tripadvisor Reviews actor, you can:

• ⭐ Extract Reviews — Get all reviews for any Tripadvisor location with full text and ratings.
• 📊 Detailed Subratings — Access individual ratings for Rooms, Value, Sleep Quality, Location, Cleanliness, and Service.
• 📸 Review Photos — Extract all photos attached to each review with multiple resolutions.
• 👤 User Profiles — Get reviewer details including contributions, avatar, location, and profile link.
• 🔍 Keyword Filter — Search reviews by keyword to find specific feedback.
• 💬 Owner Responses — Capture management/owner responses to reviews.
• 📄 Deep Pagination — Scrape multiple pages of reviews with maxPages.
• 📊 Export Structured Data — Download results in JSON, CSV, Excel, XML, and RSS formats.

🎯 What Data Can You Extract?

This Tripadvisor Reviews actor extracts the following fields for each review:

Field	Description	Example
id	Unique review identifier	1033307035
title	Review title	A good hotel for couples or with friends
text	Full review text	It is a hotel that the school has arranged...
rating	Overall rating (1-5)	5
published_date	When the review was published	2025-10-03T23:33:32-04:00
published_platform	Platform used (Mobile/Desktop)	Mobile
travel_date	When the reviewer traveled	2024-09
helpful_votes	Number of helpful votes	1
url	Direct link to the review	https://www.tripadvisor.com/ShowUserReviews-...
subrating_rooms	Room quality rating	5
subrating_value	Value for money rating	4
subrating_sleep_quality	Sleep quality rating	4
subrating_location	Location rating	5
subrating_cleanliness	Cleanliness rating	5
subrating_service	Service quality rating	4
owner_response	Management response to review	Thank you for your feedback...
photos	Array of attached photos with URLs	Photo objects with multiple sizes
username	Reviewer's username	Mark C
user_location_name	Reviewer's location	Bangkok, Thailand
user_total_reviews	Total reviews by user	15
user_helpful_votes	Total helpful votes received	3
machine_translated	Whether review was auto-translated	false

🚀 How to Use Tripadvisor Reviews

Step 1: Get a Location ID

Find the Tripadvisor location ID for the hotel, restaurant, or attraction you want reviews for.

💡 Tip: In a Tripadvisor URL like https://www.tripadvisor.com/Hotel_Review-g293919-d1191092-Reviews-..., the number after d (1191092) is the location ID.

Step 2: Configure Parameters

Input	Type	Required	Default	Description
location_id	String	✅ Yes	1191092	Tripadvisor location ID for the hotel/restaurant/attraction.
maxPages	Integer	❌ No	1	Maximum number of pages to scrape. Each page returns up to 20 reviews.
limit	Integer	❌ No	20	Items to return per page (max 20).
keyword	String	❌ No	—	Optional keyword to filter reviews.
currency	String	❌ No	USD	Currency code (e.g., USD, EUR, INR).
lang	String	❌ No	en_US	Response language (e.g., en_US, fr_FR).

Step 3: Run and Download Results

Click Start to run the Tripadvisor Reviews scraper. Once completed, download your data in JSON, CSV, Excel, XML, or RSS formats.

📋 Example Input

{
  "location_id": "1191092",
  "maxPages": 2,
  "limit": 20,
  "currency": "USD",
  "lang": "en_US"
}

📋 Example Output

{
  "id": "970282367",
  "lang": "en",
  "location_id": "1191092",
  "published_date": "2024-09-18T05:31:02-04:00",
  "published_platform": "Desktop",
  "rating": "5",
  "helpful_votes": "0",
  "url": "https://www.tripadvisor.com/ShowUserReviews-g293919-d1191092-r970282367-...",
  "travel_date": "2024-09",
  "title": "A good hotel for couples or with friends.",
  "text": "It is a hotel that the school has arranged to stay here...",
  "subrating_rooms": "5",
  "subrating_value": "5",
  "subrating_sleep_quality": "4",
  "subrating_location": "4",
  "subrating_cleanliness": "5",
  "subrating_service": "4",
  "username": "วัชรพงษ ว",
  "user_location_name": "Bangkok, Thailand",
  "user_total_reviews": "1",
  "user_hotel_reviews": "1",
  "user_locale": "th"
}

🎨 Dataset Views

The Tripadvisor Reviews actor provides 3 organized dataset views to help you inspect and analyze your data seamlessly:

View	Description
⭐ Reviews Overview	Quick scan showing title, rating, text, publish date, helpful votes, and URL.
📊 Ratings & Subratings	Detailed breakdown of Rooms, Value, Sleep Quality, Location, Cleanliness, and Service ratings.
👥 User & Photo Details	User profiles with contributions, avatars, profile links, and photo counts.

💡 Use Cases for Tripadvisor Reviews

• 📈 Sentiment Analysis — Analyze review text and ratings to understand guest satisfaction trends.
• 🏨 Competitive Analysis — Compare review scores and subratings across competing properties.
• 📊 Market Research — Study review patterns, seasonal trends, and guest demographics.
• 🗺️ Travel Planning — Read authentic reviews to make informed booking decisions.
• 📝 Content Creation — Use review data for travel blogs, comparison articles, and guides.
• 🎒 Reputation Management — Monitor and track review scores, owner responses, and feedback over time.
• 📸 Visual Content — Extract user-uploaded photos from reviews for analysis.

🔧 Tips for Best Results

1. Find Location IDs — Use the Tripadvisor Locations Search actor or extract from Tripadvisor URLs.
2. Use Keywords — Set the keyword filter to find reviews about specific topics (e.g., "pool", "breakfast", "staff").
3. Paginate for More — Increase maxPages to get all reviews. Each page returns up to 20 results.
4. Check Subratings — Use the Ratings & Subratings view to quickly compare granular scores.
5. Utilize Dataset Views — Use preconfigured views for clean, ready-to-use CSV or Excel files.

🏷️ Tags

tripadvisor scraper tripadvisor reviews tripadvisor review scraper tripadvisor hotel reviews tripadvisor restaurant reviews tripadvisor attraction reviews tripadvisor rating travel advisor scraper review analysis sentiment analysis tripadvisor reviews data review extraction guest feedback tripadvisor review monitoring

🎁 Get $5 Free Apify Credits

New to Apify? Sign up using this link and get $5 free credits to start extracting Tripadvisor reviews right away! No credit card required.

📞 Support

For questions, feedback, or custom requests regarding the Tripadvisor Reviews actor, please contact us through Apify or open a support issue.

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Happy reviewing! ⭐✨