Sports Odds Aggregator: Pinnacle + Bovada Odds Feed

What does Sports Odds Aggregator: Pinnacle + Bovada Odds Feed do?

Sports Odds Aggregator pulls pre-match and live betting odds from Pinnacle (the sharp reference book) and Bovada (the largest US offshore book) into one clean, normalized table. Every row is one outcome of one market - moneyline, spread or total - for soccer, NFL and college football, NBA, MLB, NHL, tennis and MMA. The same match is matched across both books automatically, so you can compare prices, see which book is best, and get no-vig fair odds and line movement without any extra work. No API key and no account needed.

Quick start (3 steps)

1. Open the Actor on Apify and click Try for free.
2. Pick your sports and books (the defaults - NFL/college football and basketball on both books - already work). Press Start.
3. Download the odds as JSON, CSV or Excel, connect them to Google Sheets, or call the Actor as a live API (see below).

Where and how can you use it?

Use case	Who it is for	How to do it
Line shopping	Bettors	Filter rows where isBestPriceAcrossBooks is true to always see the best price.
Fair-value and +EV models	Sharp bettors, quants	Use noVigFairPrice from Pinnacle as the benchmark and compare it to Bovada's price.
Closing-line value (CLV) tracking	Serious bettors	Schedule a run before kickoff and compare with the price you took.
Line-movement alerts	Tipsters, Discord/Telegram bots	Schedule runs every 5-15 minutes and read moveDirection, priceChange, firstSeenPrice.
Arbitrage research	Arb hunters	Join both books on fixtureId and check the implied probabilities.
Odds widgets and betting content	Publishers, app builders	Call the live API and render the best prices per match.
Datasets and backtesting	Analysts, students	Schedule daily runs and build your own odds history.
AI agents and chatbots	Developers using LLMs	Let an assistant answer "who has the best price on tonight's game?" with fresh data.

Works with: Google Sheets, Excel, Make, Zapier, n8n, Airtable, Slack, Discord, Telegram, webhooks, Python, JavaScript, cURL and any AI agent that can call an HTTP API.

What data do you get?

Each row has:

Field	Meaning
book, sport, league	Bookmaker, sport and competition
homeTeam, awayTeam, commenceTime, isLive	The match
fixtureId, booksOnFixture	The same match across books - join on fixtureId
marketType, marketLine, outcomeKey, outcomeLabel	h2h / spreads / totals, the line, and the outcome (home, away, draw, over, under)
price, priceAmerican	Decimal and American odds
impliedProbability, overround	Raw probability and the book's margin on that market
noVigProb, noVigFairPrice	Margin-free probability and fair odds
isBestPriceAcrossBooks	True for the highest price when at least two books quote the same outcome and line
previousPrice, priceChange, priceChangePct, moveDirection, firstSeenPrice, moveSinceFirstSeen	Line movement versus your last run (from the second run onward)
scrapedAt	When the row was captured

Example result

{
  "book": "pinnacle",
  "sport": "basketball",
  "league": "Philippines - NCAA",
  "homeTeam": "Arellano Chiefs",
  "awayTeam": "UPHSD Altas",
  "commenceTime": "2026-09-25T07:00:00Z",
  "isLive": false,
  "marketType": "spreads",
  "marketLine": -2.5,
  "outcomeKey": "home",
  "outcomeLabel": "Arellano Chiefs -2.5",
  "price": 1.833,
  "priceAmerican": -120,
  "impliedProbability": 0.545554,
  "overround": 0.091107,
  "noVigProb": 0.5,
  "noVigFairPrice": 2,
  "isBestPriceAcrossBooks": false,
  "fixtureId": "basketball-pinnacle-1636906808"
}

Input parameters

Parameter	Type	Default	What it does
sports	array	["american_football","basketball"]	soccer, basketball, american_football, baseball, hockey, tennis, mma
books	array	["pinnacle","bovada"]	Which bookmakers to include (Bovada has no MMA)
marketTypes	array	["h2h","spreads","totals"]	Moneyline, handicap, over/under
mode	string	pre_match_only	pre_match_only, live_only or pre_match_and_live
leagueFilter	array	-	Keep leagues whose name contains a word, e.g. NFL, NCAA, Premier League
maxEventsPerSport	integer	5	Matches per sport. Matches on both books come first, then the soonest. 0 = all
includeFairOdds	boolean	true	Adds implied probability, margin and no-vig fair odds
includeBestPriceFlag	boolean	true	Flags the best price across books
includeLineMovement	boolean	true	Compares with the previous run

Use it as a live API (Actor Standby)

Need an answer right now instead of starting a run? This Actor also works as an always-on HTTP endpoint (Apify Actor Standby). Send a request, get JSON back in seconds.

curl -H "Authorization: Bearer $APIFY_TOKEN" \
  "https://mrdoe--multi-book-sports-odds-feed.apify.actor/?sports=basketball,american_football&books=pinnacle,bovada&maxEventsPerSport=5"

import requests
r = requests.get(
    "https://mrdoe--multi-book-sports-odds-feed.apify.actor/",
    params={"sports": "soccer", "leagueFilter": "Premier League", "maxEventsPerSport": 5},
    headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"},
    timeout=90,
)
print(r.json()["items"])

const res = await fetch("https://mrdoe--multi-book-sports-odds-feed.apify.actor/?sports=tennis&mode=pre_match_and_live", {
  headers: { Authorization: `Bearer ${process.env.APIFY_TOKEN}` },
});
const { count, items } = await res.json();

You can also POST a JSON body with the same fields as the Actor input. The response is { "count": 12, "items": [ ... ] }. Line movement needs stored history, so movement fields are added on normal (scheduled) runs, not on live API calls.

	Standby API	Normal run
Best for	Apps, bots, chat assistants, quick checks	Scheduled polling, exports, history
Output	JSON in the response	Dataset (JSON, CSV, Excel)
Line movement	Not included	Included from the second run

Schedule it

Save your settings as a Task, then add a Schedule in Apify Console: every 5-15 minutes for line movement, hourly for dashboards, daily for a history dataset. Add a webhook to send fresh rows to Discord, Slack, Sheets or your own system.

Tips for best results

• Use both books and keep includeBestPriceFlag on - matches covered by both books are returned first.
• Use leagueFilter to focus, for example ["NFL"], ["NCAA"] or ["Premier League"].
• For soccer, set maxEventsPerSport to control how many matches you pull.
• For line movement, run on a schedule with the same settings each time.

Known limitations

• Pre-match and live moneyline, spread and total markets only; player props and specials are not included.
• Only two books (Pinnacle and Bovada) for now. Bovada does not list MMA.
• Books can pause or change prices at any moment; each row is a snapshot at scrapedAt.
• Team names are matched across books automatically; very unusual name differences may not match, in which case each book's rows simply appear separately.

Frequently Asked Questions

Do I need an API key or a bookmaker account?

No. There is nothing to sign up for or configure beyond the input.

Which sports and markets are covered?

Soccer, NFL and college football, NBA and other basketball, MLB, NHL, tennis and MMA - moneyline (1X2 in soccer), spreads and totals.

What are no-vig fair odds?

The bookmaker's margin removed from the market so the probabilities add up to 100%. Pinnacle's no-vig price is widely used as a fair-value benchmark.

How do I find the best price?

Filter rows where isBestPriceAcrossBooks is true. It is set only when at least two books quote the same outcome and line.

Can I use it as an API?

Yes - see Use it as a live API above. It works with Python, JavaScript, cURL, Make, Zapier, n8n and AI agents.

Can I run it on a schedule?

Yes. Create a Task with your input and add a schedule in Apify Console.

Am I charged for failed runs or empty results?

You are charged only for rows actually returned.

Support

Questions or a missing field? Open an issue from the Issues tab on this Actor's page.

Legal / Responsible Use

Odds data is provided for personal analysis and research. Check the rules for sports betting and data use in your jurisdiction, and do not redistribute the data commercially without the right licences. Gamble responsibly.