# Export sports betting odds data

**Use case:** 

Attach the betting odds to every game of a season and export the lot, so a model reads market prices and final outcomes from one table. By MrBridge

## Input

```json
{
  "dataType": "scoreboard",
  "league": "nfl",
  "startDate": "2025-01-01",
  "endDate": "2025-01-31",
  "seasons": [
    "2024",
    "2025"
  ],
  "seasonType": "all",
  "withGameDetails": false,
  "includeOdds": true,
  "includeBoxscore": true,
  "resolveRefs": true,
  "allSeasons": false,
  "outputFormat": "flat",
  "maxItems": 200,
  "maxChargedEvents": 0,
  "ncaaGroups": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "internalCaptureMode": false
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "season": {
    "label": "Season",
    "format": "integer"
  },
  "season_type": {
    "label": "Season type",
    "format": "integer"
  },
  "game_id": {
    "label": "Game ID",
    "format": "string"
  },
  "date_utc": {
    "label": "Date (UTC)",
    "format": "string"
  },
  "home_team_abbrev": {
    "label": "Home team",
    "format": "string"
  },
  "home_score": {
    "label": "Home score",
    "format": "number"
  },
  "away_team_abbrev": {
    "label": "Away team",
    "format": "string"
  },
  "away_score": {
    "label": "Away score",
    "format": "number"
  },
  "margin": {
    "label": "Margin",
    "format": "number"
  },
  "total_points": {
    "label": "Total points",
    "format": "number"
  },
  "neutral_site": {
    "label": "Neutral site",
    "format": "boolean"
  },
  "attendance": {
    "label": "Attendance",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [ESPN Sports Data Scraper: Boxscores, Gamelogs & Odds](https://apify.com/mrbridge/espn-sports-data-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mrbridge/espn-sports-data-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/mrbridge/espn-sports-data-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).