# College Football Odds – NCAAF Lines by Sportsbook

**Use case:** 

College football (NCAAF) odds for every game on the slate: moneyline, spread and total from each sportsbook Action Network tracks, the best line per side, no-vig fair probabilities and the matching Kalshi price where Kalshi lists the game. American odds, for information only.

## Input

```json
{
  "leagues": [
    "ncaaf"
  ],
  "books": [
    "15",
    "68",
    "69"
  ],
  "includeKalshi": true,
  "includeSplits": false,
  "maxGames": 300
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "away_team": {
    "label": "Away",
    "format": "string"
  },
  "home_team": {
    "label": "Home",
    "format": "string"
  },
  "fair_probability_home": {
    "label": "Fair prob. home",
    "format": "number"
  },
  "fair_probability_away": {
    "label": "Fair prob. away",
    "format": "number"
  },
  "best_moneyline_home.odds": {
    "label": "Best ML home",
    "format": "number"
  },
  "best_moneyline_away.odds": {
    "label": "Best ML away",
    "format": "number"
  },
  "kalshi.event_ticker": {
    "label": "Kalshi event",
    "format": "string"
  },
  "start_time": {
    "label": "Start",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Betting Odds – DraftKings, FanDuel, BetMGM & Kalshi](https://apify.com/rowfeed/sports-betting-odds-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rowfeed/sports-betting-odds-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).