# Football player injury history: Premier League and LaLiga

**Use case:** 

Every player of the Premier League and LaLiga with the full Transfermarkt injury history — injury, dates, days out and games missed — plus market value and contract. Built for injury and fantasy models.

## Input

```json
{
  "competitions": [
    "Premier League",
    "LaLiga"
  ],
  "includeMarketValueHistory": true,
  "includeInjuries": true,
  "maxPlayers": 0,
  "concurrency": 8
}
```

## Output

```json
{
  "name": {
    "label": "Player"
  },
  "age": {
    "label": "Age",
    "format": "number"
  },
  "position": {
    "label": "Position"
  },
  "nationality": {
    "label": "Nationality"
  },
  "club": {
    "label": "Club"
  },
  "marketValueEur": {
    "label": "Market value (€)",
    "format": "number"
  },
  "highestMarketValueEur": {
    "label": "Highest value (€)",
    "format": "number"
  },
  "contractUntil": {
    "label": "Contract until"
  },
  "agent": {
    "label": "Agent"
  },
  "heightCm": {
    "label": "Height (cm)",
    "format": "number"
  },
  "foot": {
    "label": "Foot"
  },
  "url": {
    "label": "Transfermarkt",
    "format": "link"
  }
}
```

## How it works

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

The Transfermarkt Scraper: Market Values, Contracts & Injuries Actor is ready to run with the inputs already set for "Football player injury history: Premier League and LaLiga". [Sign up or log in](https://console.apify.com/create-task-from-example/5eNs1xVh0nUBQIszj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Football player injury history: Premier League and LaLiga" task

The Transfermarkt Scraper: Market Values, Contracts & Injuries Actor will start running based on the input automatically. You can also change all the input fields, like competitions, market value history, and more, to match your specific use case.

### 3. Receive the "Football player injury history: Premier League and LaLiga" 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 player, age, position, 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 "Football player injury history: Premier League and LaLiga" task via API](https://apify.com/sports-odds-lab/transfermarkt-scraper.md).

## About this Actor

This example demonstrates how to use [Transfermarkt Scraper: Market Values, Contracts & Injuries](https://apify.com/sports-odds-lab/transfermarkt-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sports-odds-lab/transfermarkt-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/sports-odds-lab/transfermarkt-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`).