# TripAdvisor Management Response Audit

**Use case:** 

Which critical reviews got an answer, and which are still sitting there unanswered? Sixty newest reviews of three bubbles or fewer for one Paris palace hotel, each with the response text and date when the hotel replied and an empty field when it did not. The gap between the two columns is the audit. Cost: 60 review rows at $0.005 = at most $0.30 a run.

## Input

```json
{
  "startUrls": [],
  "locationIds": [],
  "hotelNames": [
    "Four Seasons Hotel George V Paris"
  ],
  "languages": [
    "en"
  ],
  "maxReviewsPerHotel": 60,
  "maxRating": 3,
  "tripTypes": [],
  "sinceDate": "",
  "requireText": false,
  "includeTranslated": true,
  "includeHotelRow": true,
  "sessions": 2,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "sub_ratings": {
    "label": "Sub ratings",
    "format": "object"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "trip_type": {
    "label": "Trip type",
    "format": "string"
  },
  "response": {
    "label": "Response",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TripAdvisor Reviews Scraper — Hotel Guest Reviews & Ratings](https://apify.com/kestrel/tripadvisor-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/tripadvisor-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/tripadvisor-reviews-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).
