# La Liga Forwards xG Scraper by Date Range

**Use case:** 

Scrape La Liga forward xG and xA filtered to a date range with minimum appearances — isolate first-half-of-season striker form on Understat.

## Input

```json
{
  "mode": "league_players",
  "leagues": [
    "La_liga"
  ],
  "seasons": [
    "2024"
  ],
  "teams": [],
  "matchIds": [],
  "playerIds": [],
  "positions": [
    "F"
  ],
  "nLastMatches": 0,
  "dateStart": "2024-08-01",
  "dateEnd": "2024-12-31",
  "minAppearances": 5,
  "maxResults": 50,
  "maxCostUsd": 25,
  "includeRawJson": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "name": {
    "label": "Player",
    "format": "text"
  },
  "team": {
    "label": "Team",
    "format": "text"
  },
  "league": {
    "label": "League",
    "format": "text"
  },
  "seasonLabel": {
    "label": "Season",
    "format": "text"
  },
  "position": {
    "label": "Pos",
    "format": "text"
  },
  "games": {
    "label": "Apps",
    "format": "number"
  },
  "goals": {
    "label": "G",
    "format": "number"
  },
  "assists": {
    "label": "A",
    "format": "number"
  },
  "xG": {
    "label": "xG",
    "format": "number"
  },
  "xA": {
    "label": "xA",
    "format": "number"
  },
  "npxG": {
    "label": "npxG",
    "format": "number"
  },
  "xGChain": {
    "label": "xGChain",
    "format": "number"
  },
  "xGBuildup": {
    "label": "xGBuildup",
    "format": "number"
  },
  "xG90": {
    "label": "xG/90",
    "format": "number"
  },
  "xA90": {
    "label": "xA/90",
    "format": "number"
  },
  "shots": {
    "label": "Shots",
    "format": "number"
  },
  "keyPasses": {
    "label": "KP",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Understat xG & Shot Data - Football Analytics](https://apify.com/constructive_calm/understat-football-analytics) with a specific input configuration. Visit the [Actor detail page](https://apify.com/constructive_calm/understat-football-analytics) to learn more, explore other use cases, and run it yourself.