SportsBookReview Odds Scraper

Scrape live betting odds from SportsBookReview.com. Compare point spreads, moneylines, and over/under totals across multiple sportsbooks for all major sports.

Features

• Multi-sport support: NBA, NFL, MLB, NHL, NCAAB, NCAAF, WNBA, MLS, EPL, Champions League, CFL
• All odds types: Point spreads, moneylines, and totals (over/under)
• Cross-sportsbook comparison: See odds from every available sportsbook side-by-side
• Date selection: Scrape odds for any date, not just today
• Structured output: Clean JSON with game details, venue, and odds arrays
• JSON-LD enrichment: Combines NEXT_DATA odds with JSON-LD SportsEvent data for rich game metadata

Input

Field	Type	Description	Default
sport	string	Sport to scrape (e.g., nba-basketball, nfl-football)	nba-basketball
oddsType	string	Odds type: all, spreads, moneyline, or totals	all
date	string	Date in YYYY-MM-DD format (optional, defaults to today)
proxyConfiguration	object	Proxy settings	Apify datacenter proxies

Supported Sports

Sport	Slug
NBA	nba-basketball
NFL	nfl-football
MLB	mlb-baseball
NHL	nhl-hockey
NCAAB	ncaa-basketball
NCAAF	college-football
WNBA	wnba-basketball
MLS	major-league-soccer
EPL	english-premier-league
Champions League	champions-league
CFL	cfl-football

Output

Each dataset item represents one game with odds from all available sportsbooks:

{
    "gameId": 377351,
    "homeTeam": "Philadelphia 76ers",
    "homeTeamShort": "PHI",
    "awayTeam": "Boston Celtics",
    "awayTeamShort": "BOS",
    "gameDate": "2026-04-24",
    "gameTime": "07:00 PM",
    "sport": "NBA",
    "venue": "Xfinity Mobile Arena",
    "city": "Philadelphia",
    "state": "PA",
    "gameStatus": "Scheduled",
    "spreads": [
        {
            "sportsbook": "kalshi",
            "homeSpread": 7.5,
            "awaySpread": -7.5,
            "homeOdds": -116,
            "awayOdds": -107
        },
        {
            "sportsbook": "prophetx",
            "homeSpread": 7.5,
            "awaySpread": -7.5,
            "homeOdds": -105,
            "awayOdds": -103
        }
    ],
    "moneylines": [
        {
            "sportsbook": "kalshi",
            "homeOdds": 280,
            "awayOdds": -350,
            "drawOdds": 0
        }
    ],
    "totals": [
        {
            "sportsbook": "kalshi",
            "overUnder": 215.5,
            "overOdds": -112,
            "underOdds": -112
        }
    ],
    "url": "https://www.sportsbookreview.com/betting-odds/nba-basketball/",
    "scrapedAt": "2026-04-23T12:00:00.000Z"
}

Use Cases

• Line shopping: Find the best odds across sportsbooks before placing bets
• Odds monitoring: Track line movement over time by scraping periodically
• Sports analytics: Build models using historical odds data
• Arbitrage detection: Compare odds across books to find arbitrage opportunities
• Research: Academic or journalistic research on sports betting markets

How It Works

The scraper extracts data from SportsBookReview's Next.js server-rendered pages:

1. Fetches the odds page for the selected sport and odds type
2. Parses the embedded __NEXT_DATA__ JSON containing structured odds data
3. Extracts JSON-LD SportsEvent blocks for venue and scheduling details
4. Merges odds from multiple page types (spreads, moneylines, totals) when oddsType is all
5. Deduplicates and outputs one clean record per game

Cost

This actor uses Pay-Per-Event pricing at $0.005 per result (game). A typical run scraping one sport costs a few cents.

Proxy

The scraper uses Apify datacenter proxies by default. You can adjust proxy settings in the input configuration.