# Agoda Scraper: Free Cancellation Under 80 EUR a Night

**Use case:** 

Two filters before the charge: only properties whose cheapest nightly rate is at or under 80 EUR, and only where that rate is free to cancel. Scanned from one page of forty-five Lisbon results; whatever fails a filter is never billed and the status row counts it, so a daily anything-under-80 alert costs nothing on days without a match. Cost: 45 hotel rows at $0.004 = at most $0.18 a run.

## Input

```json
{
  "locationQueries": [
    "Lisbon"
  ],
  "startUrls": [],
  "hotelIds": [],
  "hotelNames": [],
  "checkIn": "30 days",
  "nights": 1,
  "adults": 2,
  "children": 0,
  "childAges": [],
  "rooms": 1,
  "currency": "EUR",
  "sortBy": "best_match",
  "maxHotelsPerQuery": 45,
  "maxPrice": 80,
  "minStars": 0,
  "minReviewScore": 0,
  "freeCancellationOnly": true,
  "includeSoldOut": false,
  "calendarDays": 0,
  "locale": "en-us",
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "stars": {
    "label": "Stars",
    "format": "number"
  },
  "review_score": {
    "label": "Review score",
    "format": "number"
  },
  "price_nightly": {
    "label": "Nightly",
    "format": "number"
  },
  "price_total_with_taxes": {
    "label": "Total incl. taxes",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "free_cancellation": {
    "label": "Free cancellation",
    "format": "boolean"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "area": {
    "label": "Area",
    "format": "string"
  },
  "check_in": {
    "label": "Check in",
    "format": "string"
  },
  "nights": {
    "label": "Nights",
    "format": "integer"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "url": {
    "label": "Page",
    "format": "string"
  }
}
```

## 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`).