# Scrape MLS Soccer Betting Odds

**Use case:** 

MLS three way moneylines, handicaps and totals from three books per match, with no vig fair odds, best price and arbitrage detection built in.

## Input

```json
{
  "leagues": [
    "MLS"
  ],
  "books": [
    "pinnacle",
    "fanduel",
    "bovada"
  ],
  "markets": [
    "moneyline",
    "spread",
    "total"
  ],
  "outputMode": "events",
  "includeLive": true,
  "includeAlternateLines": false,
  "onlyArbitrage": false,
  "onlyValueBets": false,
  "minArbitrageProfit": 0,
  "minValueEdge": 0,
  "maxEvents": 100,
  "monitorMode": false,
  "monitorKey": "default",
  "fanduelState": "va",
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "text"
  },
  "eventName": {
    "label": "Game (Away @ Home)",
    "format": "text"
  },
  "startTime": {
    "label": "Start",
    "format": "datetime"
  },
  "isLive": {
    "label": "Live",
    "format": "boolean"
  },
  "bookCount": {
    "label": "# Books",
    "format": "number"
  },
  "sharpBook": {
    "label": "Sharp ref",
    "format": "text"
  },
  "arbitrageExists": {
    "label": "Arb?",
    "format": "boolean"
  },
  "bestArbitrageProfitPercent": {
    "label": "Best arb %",
    "format": "number"
  },
  "valueBetCount": {
    "label": "# +EV",
    "format": "number"
  },
  "bestValueEdgePercent": {
    "label": "Best edge %",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Betting Odds Scraper - Live Lines, Arbitrage & +EV](https://apify.com/scrapesage/sports-betting-odds-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/sports-betting-odds-scraper.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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapesage/sports-betting-odds-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).