# Premier League and La Liga Weekend: Fixtures and Odds

**Use case:** 

Premier League and La Liga fixtures for the weekend of 24-25 October 2026 with kickoff times, venues, TV channels and betting odds: home, draw and away moneylines, spread and goals total. Swap the leagues and dates for any soccer weekend.

## Input

```json
{
  "leagues": [
    "eng.1",
    "esp.1"
  ],
  "dateFrom": "2026-10-24",
  "dateTo": "2026-10-25",
  "onlyWithOdds": false,
  "maxGames": 20,
  "requestDelaySeconds": 0.2
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "name": {
    "label": "Matchup",
    "format": "string"
  },
  "startTime": {
    "label": "Start",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "statusDetail": {
    "label": "Detail",
    "format": "string"
  },
  "awayTeam.score": {
    "label": "Away",
    "format": "integer"
  },
  "homeTeam.score": {
    "label": "Home",
    "format": "integer"
  },
  "odds.details": {
    "label": "Line",
    "format": "string"
  },
  "odds.spread": {
    "label": "Spread (home)",
    "format": "number"
  },
  "odds.overUnder": {
    "label": "Total",
    "format": "number"
  },
  "odds.awayMoneyline": {
    "label": "Away ML",
    "format": "integer"
  },
  "odds.homeMoneyline": {
    "label": "Home ML",
    "format": "integer"
  },
  "odds.drawMoneyline": {
    "label": "Draw ML",
    "format": "integer"
  },
  "broadcasts": {
    "label": "TV",
    "format": "array"
  },
  "venue.name": {
    "label": "Venue",
    "format": "string"
  },
  "espnUrl": {
    "label": "ESPN",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Sports Scores & Betting Odds API: NFL, NBA, MLB, NHL, Soccer Actor is ready to run with the inputs already set for "Premier League and La Liga Weekend: Fixtures and Odds". [Sign up or log in](https://console.apify.com/create-task-from-example/klfq22PlfhPWPmGks) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Premier League and La Liga Weekend: Fixtures and Odds" task

The Sports Scores & Betting Odds API: NFL, NBA, MLB, NHL, Soccer Actor will start running based on the input automatically. You can also change all the input fields, like leagues, from date, and more, to match your specific use case.

### 3. Receive the "Premier League and La Liga Weekend: Fixtures and Odds" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as league, matchup, start, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Premier League and La Liga Weekend: Fixtures and Odds" task via API](https://apify.com/datagleaner/sports-scores-odds.md).

## About this Actor

This example demonstrates how to use [Sports Scores & Betting Odds API: NFL, NBA, MLB, NHL, Soccer](https://apify.com/datagleaner/sports-scores-odds.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datagleaner/sports-scores-odds.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/datagleaner/sports-scores-odds.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`).
