# League tables — Premier League, LaLiga, NBA, NFL in one sheet

**Use case:** 

Standings for football and the US leagues side by side in the same columns: position, played, wins, draws, losses, points, scored and conceded, difference, streak and the qualification note. Football tables have points and a rank; the NBA and NFL have a playoff seed and a win percentage — both land in the same spreadsheet, conference by conference.

## Input

```json
{
  "leagues": [
    "Premier League",
    "La Liga",
    "NBA",
    "NFL"
  ],
  "mode": "standings",
  "dates": "",
  "states": [],
  "teams": [],
  "maxResults": 500
}
```

## Output

```json
{
  "leagueName": {
    "label": "League name",
    "format": "string"
  },
  "startsAt": {
    "label": "Kick-off (ISO 8601, UTC)",
    "format": "string"
  },
  "state": {
    "label": "pre, in or post",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home side",
    "format": "string"
  },
  "homeScore": {
    "label": "Home score",
    "format": "number"
  },
  "awayScore": {
    "label": "Away score",
    "format": "number"
  },
  "awayTeam": {
    "label": "Away side",
    "format": "string"
  },
  "statusDetail": {
    "label": "Status as ESPN words it",
    "format": "string"
  },
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "url": {
    "label": "Match page on ESPN",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Scores Scraper — Football, NBA, NFL, Standings](https://apify.com/chorelet/sports-scores-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/chorelet/sports-scores-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/chorelet/sports-scores-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`).