TripAdvisor Review Scraper

An Apify actor that extracts structured review data from TripAdvisor pages for hotels, restaurants, and attractions. It uses a multi-tier API system with automatic fallback for high reliability and can scrape up to 100 reviews per URL.

Overview

This actor scrapes public review pages from TripAdvisor, returning clean JSON data for each review. It's designed for automation, supporting parallel processing of multiple URLs.

Key Features

• Multi-Tier API System: Employs an intelligent system with automatic failover between data sources for maximum uptime.
• Load Balancing: Supports using multiple API keys with automatic rotation.
• High Reliability: Achieves a >95% success rate when API keys are provided.
• Structured Output: Returns consistent, well-formatted JSON data.
• Performance: Typically scrapes 50-100 reviews per URL in 1-3 minutes.

How to Use

Provide a single TripAdvisor review page URL via the actor's input. The scraper will extract all available reviews from that page, up to a limit of 100.

Input

The input is a JSON object with a url parameter.

{
  "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
}

Supported URL types:
* Hotels: https://www.tripadvisor.com/Hotel_Review-...
* Restaurants: https://www.tripadvisor.com/Restaurant_Review-...
* Attractions: https://www.tripadvisor.com/Attraction_Review-...
* Activities: https://www.tripadvisor.com/AttractionProductReview-...

Output

The actor outputs an array of items, where each item is a structured review object. The output includes the following key fields:

• reviewId: Unique identifier for the review.
• reviewUrl: Direct link to the review page.
• title: The review's headline.
• text: The full text of the review.
• rating: Star rating on a 1-5 scale.
• date: Publication date of the review.
• author: An object containing the reviewer's name, location, avatar URL, and profile link.
• helpfulCount: Number of "helpful" votes the review has received.
• photos: Array of URLs for any photos included in the review.
• placeName: Name of the hotel, restaurant, or attraction.
• placeUrl: The TripAdvisor page URL that was scraped.
• scrapedAt: ISO timestamp of when the data was extracted.

{
  "reviewId": "1033577686",
  "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r1033577686-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "title": "Amazing stay!",
  "text": "We had a wonderful time at this hotel. The service was exceptional...",
  "rating": 5,
  "date": "2025-10-05",
  "author": {
    "name": "John D",
    "location": "Los Angeles, CA",
    "avatar": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1a/f6/f4/20/default-avatar-2020-31.jpg",
    "link": "https://www.tripadvisor.com/Profile/johnd123"
  },
  "helpfulCount": 15,
  "photos": [],
  "placeName": "Hilton New York Times Square",
  "placeUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "scrapedAt": "2024-01-15T10:30:00.000Z"
}

Use Cases

Common applications include sentiment analysis, competitor research, reputation management, market research, and automated review monitoring.