# Guest Feedback & Sentiment Analysis — TripAdvisor Review Data

**Use case:** 

Extract TripAdvisor hotel reviews for guest feedback and sentiment analysis. Pull thousands of reviews with ratings, trip types, and dates to identify what drives 1-star vs 5-star experiences.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d93361-Reviews-The_Plaza.html"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxReviews": 1000,
  "maxRequestsPerCrawl": 100
}
```

## Output

```json
{
  "title": {
    "label": "Review",
    "format": "string"
  },
  "placeName": {
    "label": "Place",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "tripType": {
    "label": "Trip type",
    "format": "string"
  },
  "stayDate": {
    "label": "Stay date",
    "format": "string"
  },
  "publishedDate": {
    "label": "Published",
    "format": "string"
  },
  "helpfulVotes": {
    "label": "Votes",
    "format": "number"
  },
  "reviewer.displayName": {
    "label": "Reviewer",
    "format": "string"
  },
  "reviewer.contributionCount": {
    "label": "Contributions",
    "format": "number"
  },
  "placeUrl": {
    "label": "Page",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TripAdvisor Reviews Scraper $0.40/1K💰 | Hotels | Restaurants](https://apify.com/ahmed_jasarevic/tripadvisor-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ahmed_jasarevic/tripadvisor-scraper.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ahmed_jasarevic/tripadvisor-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).