# Research destination highlights for marketing

**Use case:** 

Collect destination and attraction reviews. Generate content for travel marketing and campaigns.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.zoover.nl/a/78023/hcc-montblanc"
    }
  ],
  "maxReviewsPerHotel": 100,
  "cutoffDate": "2025-01-01",
  "alwaysReturnSummary": true
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "reviewDate": {
    "label": "Review date",
    "format": "string"
  },
  "travelDate": {
    "label": "Travel date",
    "format": "string"
  },
  "scoreDetails": {
    "label": "Score details",
    "format": "object"
  },
  "reviewLanguage": {
    "label": "Review language",
    "format": "string"
  },
  "reviewTitle": {
    "label": "Review title",
    "format": "string"
  },
  "userName": {
    "label": "User name",
    "format": "string"
  },
  "traveledWith": {
    "label": "Traveled with",
    "format": "string"
  },
  "reviewId": {
    "label": "Review id",
    "format": "string"
  },
  "reviewHeliosId": {
    "label": "Review helios id",
    "format": "string"
  },
  "reviewScore": {
    "label": "Review score",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "reviewText": {
    "label": "Review text",
    "format": "string"
  },
  "reply": {
    "label": "Reply",
    "format": "object"
  },
  "userVerified": {
    "label": "User verified",
    "format": "boolean"
  },
  "images": {
    "label": "Images",
    "format": "array"
  },
  "hotelSummary": {
    "label": "Hotel summary",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Zoover Reviews Scraper](https://apify.com/knagymate/zoover-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/knagymate/zoover-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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- **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/knagymate/zoover-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).