# College football odds (NCAAF) — spreads, totals, moneyline

**Use case:** 

This week's College Football games with spreads, totals and moneylines from Bovada and Pinnacle side by side. Measured on 2026-09-17: Bovada's pre-match coupon carried 57 College Football fixtures against 16 NFL.

## Input

```json
{
  "books": [
    "bovada",
    "pinnacle"
  ],
  "sports": [
    "american_football_intl"
  ],
  "leagueFilter": [
    "College Football",
    "NCAA"
  ],
  "marketTypes": [
    "h2h",
    "spreads",
    "totals"
  ],
  "mode": "pre_match_only",
  "priceFormat": "decimal",
  "maxEventsPerSport": 25,
  "includeAlternateLines": false,
  "includeBestPriceFlag": true,
  "deduplicationWindowSeconds": 30,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "includeFairOdds": false,
  "includeLineMovement": true
}
```

## Output

```json
{
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  },
  "book": {
    "label": "Book",
    "format": "string"
  },
  "sport": {
    "label": "Sport",
    "format": "string"
  },
  "league": {
    "label": "League",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home",
    "format": "string"
  },
  "awayTeam": {
    "label": "Away",
    "format": "string"
  },
  "commenceTime": {
    "label": "Commence",
    "format": "string"
  },
  "isLive": {
    "label": "Live",
    "format": "boolean"
  },
  "matchClock": {
    "label": "Clock",
    "format": "string"
  },
  "matchScore": {
    "label": "Score",
    "format": "object"
  },
  "marketType": {
    "label": "Market",
    "format": "string"
  },
  "marketLine": {
    "label": "Line",
    "format": "number"
  },
  "outcomeKey": {
    "label": "Outcome",
    "format": "string"
  },
  "outcomeLabel": {
    "label": "Label",
    "format": "string"
  },
  "price": {
    "label": "Decimal",
    "format": "number"
  },
  "priceAmerican": {
    "label": "American",
    "format": "number"
  },
  "priceFractional": {
    "label": "Fractional",
    "format": "string"
  },
  "impliedProbability": {
    "label": "Implied %",
    "format": "number"
  },
  "isBestPriceAcrossBooks": {
    "label": "Best",
    "format": "boolean"
  },
  "eventId": {
    "label": "Event ID",
    "format": "string"
  },
  "snapshotId": {
    "label": "Snapshot ID",
    "format": "string"
  },
  "overround": {
    "label": "Overround",
    "format": "number"
  },
  "noVigProb": {
    "label": "No-vig prob",
    "format": "number"
  },
  "noVigFairPrice": {
    "label": "No-vig fair price",
    "format": "number"
  },
  "previousPrice": {
    "label": "Prev price",
    "format": "number"
  },
  "priceChange": {
    "label": "Change",
    "format": "number"
  },
  "priceChangePct": {
    "label": "Change %",
    "format": "number"
  },
  "impliedProbChange": {
    "label": "Prob change",
    "format": "number"
  },
  "moveDirection": {
    "label": "Direction",
    "format": "string"
  },
  "secondsSincePreviousPrice": {
    "label": "Secs since prev",
    "format": "number"
  },
  "previousPriceAt": {
    "label": "Prev price at",
    "format": "string"
  },
  "firstSeenPrice": {
    "label": "First seen price",
    "format": "number"
  },
  "firstSeenPriceAt": {
    "label": "First seen at",
    "format": "string"
  },
  "moveSinceFirstSeen": {
    "label": "Move since first",
    "format": "number"
  },
  "moveSinceFirstSeenPct": {
    "label": "Move since first %",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Betting Odds Scraper — NFL, NBA, Soccer, Tennis & Props](https://apify.com/zhorex/sports-odds-aggregator.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zhorex/sports-odds-aggregator.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/zhorex/sports-odds-aggregator.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`).