# League standings table

**Use case:** 

Current standings for any supported league: position, played, won, lost, points and goal difference.

## Input

```json
{
  "leagues": [
    "epl"
  ],
  "mode": "standings",
  "days": 0,
  "onlyStatus": "all",
  "includeGameDetails": false,
  "newsLimit": 20,
  "maxItems": 1000,
  "concurrency": 6
}
```

## Output

```json
{
  "league": {
    "label": "League key",
    "format": "string"
  },
  "group": {
    "label": "Group",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "wins": {
    "label": "Wins",
    "format": "number"
  },
  "losses": {
    "label": "Losses",
    "format": "number"
  },
  "ties": {
    "label": "Ties",
    "format": "number"
  },
  "winPercent": {
    "label": "Win %",
    "format": "number"
  },
  "points": {
    "label": "Points",
    "format": "number"
  },
  "pointDifferential": {
    "label": "Differential",
    "format": "number"
  },
  "streak": {
    "label": "Streak",
    "format": "string"
  },
  "gamesBehind": {
    "label": "Games behind",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Scores & Schedules API](https://apify.com/lergassy/sports-scores-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lergassy/sports-scores-api.md) 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/lergassy/sports-scores-api.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).