# Agoda Reviews for LLM & RAG

**Use case:** 

Every review ships an LLM-ready markdown block. Feed Agoda guest reviews straight into a vector store or RAG pipeline.

## Input

```json
{
  "hotelUrls": [
    "https://www.agoda.com/bayswater-inn-hotel/hotel/london-gb.html",
    "https://www.agoda.com/majerik-hotel/hotel/heviz-hu.html"
  ],
  "maxReviews": 100,
  "sortBy": "newest",
  "minRating": 1,
  "maxRating": 10,
  "reviewSources": [
    "agoda"
  ],
  "languages": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "markdownContent": {
    "label": "Markdown (LLM-ready)",
    "format": "string"
  },
  "score": {
    "label": "Score /10",
    "format": "number"
  },
  "hotelName": {
    "label": "Hotel name",
    "format": "string"
  },
  "hotelId": {
    "label": "Hotel ID",
    "format": "integer"
  },
  "source": {
    "label": "Review source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Agoda Hotel Reviews Scraper 🏨 Ratings, Text & Sentiment](https://apify.com/factden/agoda-hotel-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/factden/agoda-hotel-reviews-scraper) to learn more, explore other use cases, and run it yourself.