# Daily MLB & NHL snapshot

**Use case:** 

Daily snapshot of MLB and NHL: division standings, stat leaders and today's schedule. One run, clean rows per dataset — built for dashboards and AI agents.

## Input

```json
{
  "leagues": [
    "MLB",
    "NHL"
  ],
  "datasets": [
    "standings",
    "leaders",
    "schedule"
  ],
  "seasonsMlb": [
    "2026"
  ],
  "seasonsNhl": [
    "20262027"
  ],
  "mlbGameType": "R",
  "leadersLimit": 10,
  "maxItems": 10000
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "dataset": {
    "label": "Dataset",
    "format": "string"
  },
  "season": {
    "label": "Season",
    "format": "string"
  },
  "teamName": {
    "label": "Team name",
    "format": "string"
  },
  "playerName": {
    "label": "Player name",
    "format": "string"
  },
  "abbreviation": {
    "label": "Team abbreviation",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [MLB & NHL Sports Stats API (Official Data)](https://apify.com/teamkamkod/sport-stats-intel.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/teamkamkod/sport-stats-intel.md) to learn more, explore other use cases, and run it yourself.


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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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/teamkamkod/sport-stats-intel.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).