# Rezervace padelového kurtu Praha (bez přihlášení)

**Use case:** 

Vyhledá volné padelové kurty ve všech veřejných pražských areálech — bez přihlášení do klubu. (Padel Džus se přeskočí, vyžaduje přihlášení i k vyhledávání.)

## Input

```json
{
  "searchDaysAhead": 3,
  "searchPadelPowers": true,
  "searchSpoje": true,
  "searchPisecna": true,
  "searchPadelDzus": false,
  "searchForPadel": true,
  "searchPadelAutomat": true,
  "searchCisarskaLouka": true,
  "searchNeride": true,
  "searchPadelSlavia": true,
  "searchSkySportCity": true
}
```

## Output

```json
{
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "court": {
    "label": "Court",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "dayOfWeek": {
    "label": "Day",
    "format": "string"
  },
  "startTime": {
    "label": "Start",
    "format": "string"
  },
  "endTime": {
    "label": "End",
    "format": "string"
  },
  "durationMinutes": {
    "label": "Minutes",
    "format": "integer"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "mapsUrl": {
    "label": "Map",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Padel Booking Agent (Prague)](https://apify.com/inovaflow/padel-booking-agent) with a specific input configuration. Visit the [Actor detail page](https://apify.com/inovaflow/padel-booking-agent) 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/inovaflow/padel-booking-agent.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).