# Export Tripadvisor hotel reviews

**Use case:** 

Export reviews for a Tripadvisor hotel with ratings, stay dates, owner responses and response delay, as rows you can load into a warehouse.

## Input

```json
{
  "mode": "reviews",
  "propertyUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g60763-d10679074-Reviews-LUMA_Hotel_Times_Square-New_York_City_New_York.html"
  ],
  "discoveryUrls": [
    "https://www.tripadvisor.com/Hotels-g60763-New_York_City_New_York-Hotels.html"
  ],
  "watchlistName": "Review export",
  "includeGeoCompSetCandidates": false,
  "compSetRadiusKm": 3,
  "maxCompSetCandidates": 8,
  "recentWindowDays": 90,
  "baselineWindowDays": 365,
  "targetReviewSample": 100,
  "controlSampleShare": 0.05,
  "analysisLanguage": "en",
  "translationPreference": "sourceDisplayed",
  "includeReviewRecords": true,
  "includeReviewerDisplayName": false,
  "resetScope": "none",
  "confirmReset": false,
  "maxProperties": 3,
  "maxHydratedProperties": 3,
  "maxRunMinutes": 30,
  "maxReviewInteractionsPerProperty": 14,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "propertyName": {
    "label": "Property name",
    "format": "string"
  },
  "propertyId": {
    "label": "Property id",
    "format": "string"
  },
  "reviewId": {
    "label": "Review id",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Review title",
    "format": "string"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "stayDate": {
    "label": "Date of stay",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "analysisSupport": {
    "label": "Analysis support",
    "format": "string"
  },
  "subratings": {
    "label": "Subratings",
    "format": "object"
  },
  "ownerResponded": {
    "label": "Owner responded",
    "format": "boolean"
  },
  "ownerResponseAt": {
    "label": "Response date",
    "format": "string"
  },
  "url": {
    "label": "Review URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tripadvisor Hotel Reputation Monitor](https://apify.com/ryanclinton/tripadvisor-hotel-reputation-monitor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ryanclinton/tripadvisor-hotel-reputation-monitor) 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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ryanclinton/tripadvisor-hotel-reputation-monitor.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).
