SportsBookReview Odds Scraper

Returns: one row per game and sportsbook with gameId, homeTeam, awayTeam, moneyline, spread, total, and startDate. Input: {"leagues":["nfl-football"],"teamNames":["Bills"],"maxItems":20} Best for: comparing sportsbook odds, monitoring selected teams, and collecting known games by ID.

SportsBookReview scraper output provides public odds data for a SportsBookReview API workflow.

{
  "gameId": 379998,
  "homeTeam": "Los Angeles Rams",
  "awayTeam": "Buffalo Bills",
  "sportsbook": "betmgm",
  "moneyline": {
    "home": -175,
    "away": 145
  },
  "startDate": "2026-10-13T00:15:00+00:00",
  "sourceUrl": "https://www.sportsbookreview.com/betting-odds/nfl-football/money-line/full-game/"
}

What does SportsBookReview Odds Scraper do?

SportsBookReview Odds Scraper collects the public betting odds that SportsBookReview shows on its league odds pages. For every upcoming game it returns one row per sportsbook, so a single NFL week gives you each game once for BetMGM, bet365, DraftKings, FanDuel, Fanatics, BetRivers, Caesars and Hard Rock Bet, wherever the site lists them. Each row combines the moneyline, the point spread and the over/under total, together with the teams, the start time, the venue and the share of bettors on each side.

The Actor reads the data that the odds pages embed in their own HTML, so it needs no browser and no login. It makes one request every two seconds, which keeps the load on the site small, and it retries on temporary server errors.

Typical uses:

• Compare the same game across sportsbooks to find the best price on a side.
• Compare the current line with the opening line on each item to see how it has moved.
• Feed a model, spreadsheet or dashboard with current NFL, NBA, MLB, NHL, college and soccer odds.
• Monitor consensus pick percentages next to the market prices.

This Actor is an independent tool. It is not affiliated with, endorsed by or connected to SportsBookReview or any sportsbook.

What data can you get?

Every item is one game at one sportsbook. Fields that a sportsbook does not offer for a game are null.

Field	Description
id	Stable ID made of the game ID and the sportsbook, for example 379624-draftkings
sourceUrl	Odds page the record came from
gameId	SportsBookReview game identifier
league	League name, for example NFL
leagueSlug	League slug used in the page URL
startDate	Scheduled start time in ISO 8601 UTC
gameStatus	Status text shown by the site
homeTeam / awayTeam	Team names
homeTeamShort / awayTeamShort	Team abbreviations
sportsbook	Sportsbook machine name, for example draftkings
sportsbookName	Sportsbook display name
moneyline	Object with home, away and, for soccer, draw in American odds
spread	Object with homeLine, homeOdds and awayOdds
total	Object with line, over and under
openingLines	The first posted moneyline, spread and total, only when requested
venueName / city	Stadium or arena and its city
homeScore / awayScore	Team scores shown by the site, null before a game is played
gameState	scheduled, live or final
state / country	Venue state (when given) and country code
homeStarter / awayStarter	Starting pitcher names (MLB games only, otherwise null)
requestedDate	The dates value used to load the row, null for the current slate
consensus	Pick percentages for the home and away spread, and for the over and under

Odds are American odds (for example -110 or 160). A spread homeLine of 3.5 means the home team gets 3.5 points.

How to use

1. Open the Actor and pick one or more leagues.
2. Choose the markets you want: moneyline, spread, total. All three are on by default.
3. Optionally list the sportsbooks to keep, for example draftkings and fanduel.
4. Set maxItems to cap the number of rows and start the run.
5. Download the dataset as JSON, CSV, Excel or HTML, or read it through the API.

A run for one league and three markets fetches three pages and normally finishes in well under a minute. Games that have already finished are skipped, because their odds are no longer meaningful. Leagues that are out of season return no games, and the run then ends successfully with a warning in the log.

Input

Field	Type	Description
leagues	array	League slugs to scrape. Allowed: nfl-football, nba-basketball, mlb-baseball, nhl-hockey, english-premier-league, major-league-soccer, champions-league, college-football, ncaa-basketball, wnba-basketball, cfl-football. Required.
markets	array	Any of moneyline, spread, total. Default all three.
sportsbooks	array	Optional sportsbook machine names to keep, such as draftkings, fanduel, betmgm, bet365, fanatics, bet_rivers_co, caesars, hardrock. Empty keeps all.
teamNames	array	Keep a game when either team name or abbreviation contains any supplied term, ignoring case. Empty keeps all games.
gameIds	array	Keep only these numeric SportsBookReview gameId values, within the selected leagues and dates. Empty keeps all games.
dates	array	Days to scrape as YYYY-MM-DD, for example past MLB or NBA days. Finished games are kept. NFL and college football are organised by week on the site and ignore dates. Empty means the current slate.
includeFinished	boolean	Keep games marked Final on the current slate. Default false; always on when dates is set.
includeOpeningLines	boolean	Adds openingLines to every item. Default true.
maxItems	integer	Maximum number of items, 1 to 10000. Default 50.
proxyConfiguration	object	Apify Proxy settings. Off by default because the site answers normal requests.

Example input:

{
  "leagues": ["nfl-football", "english-premier-league"],
  "markets": ["moneyline", "total"],
  "sportsbooks": ["draftkings", "fanduel"],
  "includeOpeningLines": true,
  "maxItems": 50
}

How leagues and markets map to requests: each selected market is one page per league. The spread page is the site's default league page. For soccer leagues the default page is a three-way view, which is the only place a real draw price is published, so the Actor uses it for the soccer moneyline when it is available and falls back to the two-way money-line page when a sportsbook is missing there.

Collect selected teams or known games

Use teamNames to narrow the current slate without knowing a game's numeric identifier. For example, {"leagues":["nfl-football"],"teamNames":["Bills"],"markets":["moneyline"],"maxItems":20} keeps Buffalo Bills games. Matching checks both full names and abbreviations and ignores case. Each term is a substring, so choose a specific name when a short fragment could match several teams. Multiple terms use OR: either team can match any supplied term.

Use gameIds when an earlier dataset already identifies the fixture you want to monitor. Copy the numeric gameId, rather than the compound row id, and keep the corresponding league in leagues. The Actor still reads the league pages; the filter does not call a separate game endpoint or recover games missing from the selected slate. Multiple IDs use OR. When both filters are supplied, a game must match an ID and a team term. Sportsbook filtering then narrows its rows, and maxItems applies across all remaining rows from every league and date. A filter with no matches succeeds with zero results and a status message suggesting which filters to clear.

Output

Each item looks like this (real output from a local run, shortened):

{
  "id": "379998-betmgm",
  "sourceUrl": "https://www.sportsbookreview.com/betting-odds/nfl-football/money-line/full-game/",
  "gameId": 379998,
  "league": "NFL",
  "leagueSlug": "nfl-football",
  "startDate": "2026-10-13T00:15:00+00:00",
  "gameStatus": "20:15 ET",
  "homeTeam": "Los Angeles Rams",
  "awayTeam": "Buffalo Bills",
  "homeTeamShort": "LA",
  "awayTeamShort": "BUF",
  "sportsbook": "betmgm",
  "sportsbookName": "BetMGM",
  "moneyline": {
    "home": -175,
    "away": 145
  },
  "spread": null,
  "total": null,
  "openingLines": {
    "moneyline": {
      "home": -140,
      "away": 115
    },
    "spread": null,
    "total": null
  },
  "venueName": "SoFi Stadium",
  "city": "Inglewood",
  "consensus": {
    "homeSpreadPickPercent": 42.002688172043015,
    "awaySpreadPickPercent": 57.997311827956985,
    "overPickPercent": 69.34579439252336,
    "underPickPercent": 30.654205607476637
  },
  "homeScore": null,
  "awayScore": null,
  "homeStarter": null,
  "awayStarter": null,
  "requestedDate": null,
  "gameState": "scheduled",
  "state": "CA",
  "country": "USA"
}

With includeOpeningLines on (the default), each item also has an openingLines object holding the first posted moneyline, spread and total. The consensus object is null for leagues where the site shows no pick data, which is the case for soccer. If a pick percentage pair is zero on both sides, that market is left out of consensus.

How much does it cost?

The Actor is charged per result, and one result is one game and sportsbook row saved to the dataset. Open the Pricing tab of the Actor page for the current price, because it can change. You only pay for rows that are saved, and maxItems is a hard cap, so you can bound the cost of a run by setting it. For this pay-per-event Actor, publisher compute and proxy usage are covered by the publisher; customer Actor charges follow the saved result events.

Use with AI agents (MCP)

You can call this Actor from any MCP-compatible assistant through the Apify MCP server. Add this to your client configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=axiomworks/sportsbookreview-odds-scraper"
    }
  }
}

Example prompts:

• "Get the current NFL moneylines from DraftKings and FanDuel and tell me which game has the biggest price gap."
• "List all upcoming Premier League games with their draw odds at Caesars."
• "Fetch NBA totals for all sportsbooks and show the games with the highest over/under line."
• "Pull NFL spreads with opening lines and tell me which spreads moved the most since opening."

Integrations and API

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("axiomworks/sportsbookreview-odds-scraper").call(run_input={
    "leagues": ["nfl-football"],
    "markets": ["moneyline", "spread", "total"],
    "maxItems": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["homeTeam"], item["awayTeam"], item["sportsbook"], item["moneyline"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('axiomworks/sportsbookreview-odds-scraper').call({
    leagues: ['nfl-football'],
    markets: ['moneyline', 'spread', 'total'],
    maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
process.stdout.write(`${items.length}\n`);

cURL:

curl -X POST "https://api.apify.com/v2/acts/axiomworks~sportsbookreview-odds-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"leagues": ["nfl-football"], "markets": ["moneyline"], "maxItems": 20}'

You can also schedule runs, send results to Google Sheets, Slack or a webhook, and connect the dataset to Make, Zapier or n8n with the standard Apify integrations.

FAQ

Which sportsbooks are covered? The ones SportsBookReview lists for the league and region: BetMGM, bet365, DraftKings, FanDuel, Fanatics, BetRivers, Caesars and Hard Rock Bet. Smaller leagues often list fewer books, so some games have fewer rows. Region defaults to the United States.

Why are some moneyline, spread or total values null? A sportsbook may not post that market for a game, or the market was not selected in your input. Soccer games have no point spread, so spread is null for soccer leagues.

Why did I get fewer items than maxItems? The site only lists upcoming games. When the pages hold fewer game and sportsbook rows than the limit, you get all of them. A league that is out of season returns none.

Why does a soccer league show a draw price? Soccer uses a three-way moneyline. The draw value appears inside moneyline when the site publishes one.

Are the odds live? They are a snapshot taken at the time of the run, as shown on the page. Run the Actor again, or schedule it, for fresh numbers. Lines can change between runs.

What happens with a wrong league name? The Actor logs a warning that the page was not found and ends with zero items. It does not save placeholder records.

Do I need a proxy? Normally no. If your runs are blocked, enable Apify Proxy in the input. The Actor retries blocked or failed requests with a fresh proxy session and a growing delay.

Can it give odds history? It returns the current line and, if you turn it on, the opening line. Full line movement history is not in the page data, so it is not included.

Is it legal to scrape SportsBookReview?

The Actor reads only publicly available pages that load without logging in, and it does not bypass any access control or CAPTCHA. Odds are factual data, but how you may use it can still depend on your country, on the site's terms of use, and on gambling and data rules where you live. Read the terms of the site, use the data responsibly, and take legal advice if you plan commercial redistribution. Nothing here is legal advice, and the Actor is not meant for placing bets or for any activity that breaks the law.

Feedback

If a field looks wrong, a league is missing or you need another market, open an issue from the Actor page on Apify and include the input you used. Reports with an example run link are the easiest to act on.