Tripadvisor Review Scraper

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🚀 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:

{
"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:

{
"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.