TripAdvisor Review Scraper ## 🚀 What does TripAdvisor Review Scraper do? This actor scrapes reviews from TripAdvisor business pages. It extracts detailed information about each review, including: - Review title and text - Rating - Date of review - Reviewer's name, profile link, and picture - Number of contributions by the reviewer - Reviewer's location - Type of visit (e.g., couples, family, etc.) ## 📊 How to use this actor 1. Input: Provide a list of TripAdvisor business review page URLs and set the maximum number of reviews to scrape per URL. 2. Run: Execute the actor on the Apify platform. 3. Output: Retrieve the scraped data from the actor's dataset. ## ⚙️ Input parameters The actor accepts the following input parameters: - startUrls (required): An array of TripAdvisor restaurant review page URLs to scrape. - maxReviewsPerUrl (optional): The maximum number of reviews to scrape per URL. Default is 100. Example input: json { "startUrls": [ { "url": "https://www.tripadvisor.com/Restaurant_Review-g186338-d23958433-Reviews-Tattu_London-London_England.html" }, { "url": "https://www.tripadvisor.com/Restaurant_Review-g186338-d1017662-Reviews-The_Park_Room-London_England.html" } ], "maxReviewsPerUrl": 40 } ## 📦 Output Each item in the dataset represents a single review and has the following structure: json { "businessUrl": "https://www.tripadvisor.com/Restaurant_Review-g186338-d23958433-Reviews-Tattu_London-London_England.html", "title": "Perfection on a plate", "text": "Wow! What a truly incredible dining experience at Tattu...", "rating": 5, "date": "2022-04-21T22:00:00.000Z", "profileLink": "/Profile/XGlobetrottingXGirlX", "profileName": "Cheryl H", "profilePicture": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/22/00/5d/96/cheryl-h.jpg", "contributions": 304, "location": "London", "type": "couples" } ## 🔍 Use cases This actor is useful for: - Market research on the hospitality industry - Analyzing customer sentiment and experiences - Tracking restaurant & hotel reputation over time - Identifying trends in dining preferences ## 🏥 Obstacles and solutions - Rate limiting: The actor respects TripAdvisor's rate limits by using a low concurrency and request rate. - Data consistency: The actor handles various review formats and extracts data consistently. - Proxy usage: Residential proxies are used to minimize the chance of being blocked.