# Export Statistics for One Sofascore Match

**Use case:** 

Target a real Sofascore match URL and export its teams, final score, competition context, and available match statistics.

## Input

```json
{
  "mode": "date",
  "sport": "football",
  "date": "2026-08-11",
  "eventIds": [],
  "eventUrls": [
    "https://www.sofascore.com/football/match/usa-bosnia-and-herzegovina/EObszUb#id:12812992"
  ],
  "includeStatistics": true,
  "status": "all",
  "maxItems": 1
}
```

## Output

```json
{
  "eventId": {
    "label": "Event ID",
    "format": "integer"
  },
  "eventUrl": {
    "label": "Event",
    "format": "string"
  },
  "sport": {
    "label": "Sport",
    "format": "string"
  },
  "startTime": {
    "label": "Start",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "tournament": {
    "label": "Tournament",
    "format": "object"
  },
  "homeTeam": {
    "label": "Home",
    "format": "object"
  },
  "awayTeam": {
    "label": "Away",
    "format": "object"
  },
  "score": {
    "label": "Score",
    "format": "object"
  },
  "hasStatistics": {
    "label": "Stats",
    "format": "boolean"
  },
  "scrapedAt": {
    "label": "Scraped",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sofascore Scraper](https://apify.com/automation-lab/sofascore-live-events-statistics-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/sofascore-live-events-statistics-scraper) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/sofascore-live-events-statistics-scraper.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).