🧳🌍 Tripadvisor Review Scraper

📌 Introduction

Tripadvisor Review Scraper is a powerful and easy-to-use Apify Actor designed to collect structured review data from Tripadvisor product pages. Whether you're analyzing customer sentiment, monitoring traveler feedback, or enriching your travel content, this Actor helps you extract data at scale — pricing is pay-per-result.

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💡 Free vs paid plans

On a free Apify plan, this actor returns a sample of the reviews. Upgrade to any paid Apify plan to get the complete results.

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🎯 What is this Review Scraper?

This Actor automatically scrapes reviews from a given Tripadvisor product URL and produces structured dataset output that you can download or integrate via API. It's perfect for travel market research, competitive analysis, sentiment tracking, and more.

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🔍 Features

• ⭐ Structured Review Data — Extract ratings, review text, reviewer info, photos, dates, and more.
• 🔁 Flexible Pagination — Easily scrape multiple pages of reviews.
• 🚀 Efficient Extraction — Designed to handle a large number of reviews.
• 🧹 Clean Output — Produces organized dataset entries ready for analysis.
• 🔌 Easy Integration — Use with Apify API or workflow automation tools.

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🧰 Input Parameters

Parameter	Type	Required	Description
product_url	String	⚠️	The Tripadvisor product page URL to scrape reviews from. Either product_url or product_urls must be provided.
product_urls	Array[String]	⚠️	Array of Tripadvisor product URLs for batch processing. Either product_url or product_urls must be provided.
page_size	Number	❌	Maximum number of reviews per page (default: 100).
page	Number	❌	Start page number; will skip (page – 1) * page_size reviews from the beginning (default: 1).

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📥 Example Input

Single URL

{
  "product_url": "https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html",
  "page_size": 100,
  "page": 1
}

Batch Processing (Multiple URLs)

{
  "product_urls": [
    "https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html",
    "https://www.tripadvisor.com/AttractionProductReview-g187791-d11480167-Vatican_Museums_Sistine_Chapel_Tour_and_Basilica_Access-Rome_Lazio.html"
  ],
  "page_size": 100,
  "page": 1
}

This configuration will scrape up to 100 reviews starting from the first page of the specified Tripadvisor product(s).

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🗃️ Output Data

Each review returned by this Actor includes the following structured fields:

Field	Type	Description
id	String	Unique review identifier.
review_id	String	Original Tripadvisor review ID.
product_id	String	Tripadvisor product identifier.
rating	String	Review rating, 1–5 stars, returned as a string (e.g. "5.00").
title	String	Review title.
content	String	Full review text.
author_name	String	Reviewer's name.
user_identifier_value	String	Author user identifier.
review_date	String	Date when the review was published (ISO 8601 format).
trip_type	String	Type of travel (solo, couple, family, etc.).
helpful_votes	Number	Number of helpful votes.
photos	Array	Array of photo URLs (if any).
owner_response	String	Business owner response text (if any).
owner_response_author	String	Response author name (if any).
owner_response_date	String	Response publication date (ISO 8601 format, if any).
language	String	Review language code.
overall_star_rating	Number	Overall product star rating (e.g. 4.5 out of 5). -1 if unavailable.
overall_review_count	Number	Total number of reviews for the product. -1 if unavailable.

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🧠 How It Works

1. Input Acceptance — Takes a list of Tripadvisor page URLs from the user.
2. Web Scraping — Visits each URL and parses visible review data from the page DOM.
3. Data Structuring — Normalizes extracted fields into structured records.
4. Dataset Storage — Saves results in the Apify dataset for retrieval via UI or API.

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⚙️ Usage Examples

📦 Basic Usage

{
  "product_url": "https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html"
}

📈 With Pagination

{
  "product_url": "https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html",
  "page_size": 200,
  "page": 2
}

Attempts to extract up to 200 reviews from the specified Tripadvisor product page.

🔄 Batch Processing (Multiple URLs)

{
  "product_urls": [
    "https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html",
    "https://www.tripadvisor.com/AttractionProductReview-g187791-d11480167-Vatican_Museums_Sistine_Chapel_Tour_and_Basilica_Access-Rome_Lazio.html",
    "https://www.tripadvisor.com/AttractionProductReview-g187791-d18909282-Rome_Colosseum_Guided_Tour_with_Roman_Forum_and_Palatine_Hill-Rome_Lazio.html"
  ],
  "page_size": 100,
  "page": 1
}

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🤖 Use Tripadvisor Review Scraper in Claude, Cursor & Codex via MCP

You can call this Actor directly from an AI assistant through the Apify MCP server — it works with Claude, Cursor, Codex, and any other MCP client.

Add this connector URL in your MCP client:

https://mcp.apify.com/?tools=louvre/tripadvisor-review-scraper

Then ask in plain language, for example:

"Get the latest reviews for this Tripadvisor page: https://www.tripadvisor.com/AttractionProductReview-g187791-d12268171-Rome_Skip_the_Line_Vatican_Sistine_Chapel_St_Peter_Small_Group-Rome_Lazio.html"

For a ready-to-paste configuration (Claude Desktop, Cursor, VS Code, and more), open the API → MCP tab on this Actor's page.

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📡 API / CLI Integration

You can run this Actor programmatically via the Apify API. Example (curl):

curl "https://api.apify.com/v2/acts/louvre~tripadvisor-review-scraper/runs?token=<YOUR_API_TOKEN>" \
  -X POST \
  -H "Content-Type: application/json" \
  -d @input.json

Replace <YOUR_API_TOKEN> with your Apify token and input.json with your JSON input.

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💰 Pricing & Limits

This Actor uses pay-per-result pricing — see the Pricing tab on the Actor page for the current rate. A free trial is available.

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🔗 Related Links

• 🌐 Actor page: https://apify.com/louvre/tripadvisor-review-scraper
• 📜 API docs: https://apify.com/louvre/tripadvisor-review-scraper/api