# Agoda Price Calendar: 60 Check-in Dates for One Hotel

**Use case:** 

calendarDays 60 reads Agoda's price-trend chart for one named property: a per-night price for up to sixty check-in dates from a week out, each flagged low, normal or high by Agoda, the cheapest date ranked first. Dates without a cached price are skipped and free, so quiet properties give a sparse calendar. Cost: 1 hotel row at $0.004 plus 60 calendar rows at $0.002 = at most $0.12 a run.

## Input

```json
{
  "locationQueries": [],
  "startUrls": [],
  "hotelIds": [],
  "hotelNames": [
    "Tivoli Avenida Liberdade Lisbon"
  ],
  "checkIn": "7 days",
  "nights": 2,
  "adults": 2,
  "children": 0,
  "childAges": [],
  "rooms": 1,
  "currency": "EUR",
  "sortBy": "best_match",
  "maxHotelsPerQuery": 20,
  "maxPrice": 0,
  "minStars": 0,
  "minReviewScore": 0,
  "freeCancellationOnly": false,
  "includeSoldOut": false,
  "calendarDays": 60,
  "locale": "en-us",
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "check_in": {
    "label": "Check in",
    "format": "string"
  },
  "nights": {
    "label": "Nights",
    "format": "integer"
  },
  "price_nightly": {
    "label": "Price nightly",
    "format": "number"
  },
  "price_total": {
    "label": "Price total",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "trend": {
    "label": "Trend",
    "format": "string"
  },
  "rank_in_window": {
    "label": "Rank in window",
    "format": "integer"
  },
  "cheapest_in_window": {
    "label": "Cheapest in window",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [Agoda Prices Scraper — Hotel Rates & Availability by Date](https://apify.com/kestrel/agoda-prices-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/agoda-prices-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/agoda-prices-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).