# NBA odds tonight with the best price per side

**Use case:** 

Tonight's NBA games as one row per game: every book's moneyline, spread and total nested, and the best price for each outcome.

## Input

```json
{
  "mode": "odds",
  "leagues": [
    "nba"
  ],
  "daysAhead": 0,
  "markets": [
    "moneyline",
    "spread",
    "total"
  ],
  "books": [
    "draftkings",
    "pinnacle",
    "espn",
    "kalshi"
  ],
  "oddsFormat": "decimal",
  "outputFormat": "nested",
  "includeOpeningLines": true,
  "includeAlternateLines": false,
  "includeFinished": false,
  "includeEdges": true,
  "minEdgePercent": 1,
  "maxPropsPerGame": 500,
  "maxItems": 5000,
  "concurrency": 6,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "league": {
    "label": "League",
    "format": "string"
  },
  "game": {
    "label": "Game",
    "format": "string"
  },
  "startTime": {
    "label": "Start time",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "favorite": {
    "label": "Favorite",
    "format": "string"
  },
  "homeWinProbability": {
    "label": "Home win probability",
    "format": "number"
  },
  "awayWinProbability": {
    "label": "Away win probability",
    "format": "number"
  },
  "marketHomeWinProbability": {
    "label": "Market home win probability",
    "format": "number"
  },
  "marketAwayWinProbability": {
    "label": "Market away win probability",
    "format": "number"
  },
  "booksCount": {
    "label": "Books count",
    "format": "number"
  },
  "markets": {
    "label": "Markets",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Betting Odds API — Pinnacle, DraftKings & Arbitrage](https://apify.com/lergassy/sports-odds-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lergassy/sports-odds-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/lergassy/sports-odds-api.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).