Action Network Odds & Public Betting Scraper

Scrape sportsbook odds and public betting data from Action Network (actionnetwork.com): consensus and opening lines, tickets vs money splits, line movement, sharp-money signals, best prices across books, final scores, player props, weather, injuries, futures and ATS standings. Export as JSON, CSV or Excel, or call it as an API. Choose a league, press Start.

Target website: Action Network (actionnetwork.com)

✨ Features of this Action Network odds scraper

• Odds extraction — moneyline, spread and total for every game, from the consensus, the opening line and up to seven sportsbooks (DraftKings, FanDuel, BetMGM, Caesars, bet365, BetRivers, Unibet), with hold and no-vig win probability.
• Public betting splits — percentage of tickets and percentage of money on each side, plus the gap between them as a sharp-money indicator.
• Betting signals — reverse line moves, steam moves, cross-book arbitrage and middles, flagged per game.
• Line movement and snapshots — movement since the open, and with a snapshot name, movement since your previous scheduled run.
• Graded results — final score, winner, against-the-spread and over/under result and closing line value for finished games.
• Optional detail blocks — player props, venue and weather, injuries and team stats.
• Futures, injuries and standings — championship and award markets, the league injury report and ATS / over-under records.
• Alerts — post flagged games to a Slack, Discord or custom webhook.
• Filtering — by league, date or week, game status, team, minimum bets and minimum sharp-money gap.
• Proxy support — configurable, off by default.
• No browser required — fast and cheap runs.

🚀 How to scrape Action Network odds in 5 steps

1. Sign up for a free Apify account — includes $5 monthly credit.
2. Open the actor page and click Try for free.
3. Pick one or more leagues (or paste a league page such as https://www.actionnetwork.com/nfl/odds).
4. Click Start and wait for the run to complete.
5. Download results from the Output tab in JSON, CSV, or Excel format.

You can also run this actor via the Apify API or integrate it directly into your workflows using Zapier, Make, or n8n.

💰 Pricing

This actor uses pay-per-event billing: a charge for each result saved, plus a small extra charge for each game enriched with props, weather, injuries or team stats.

• New Apify accounts include $5 of free monthly credit.
• It uses plain HTTP requests, so it costs significantly less to run than browser-based scrapers.
• Proxies are off by default, which keeps runs cheapest.

🔧 Input configuration

Field	Type	Required	Default	Description
Data to scrape	string	—	games	games, futures, injuries or standings.
League page URLs	array	—	NFL odds page	League pages like /nfl/odds; the league is read from the URL.
Leagues	array	—	nfl	NFL, NBA, MLB, NHL, NCAA football and basketball, WNBA, CFL, MLS, Premier League, La Liga, Bundesliga, Serie A, Ligue 1.
Dates	array	—	current slate	YYYY-MM-DD, for all leagues except NFL and NCAA football.
Weeks	array	—	current week	Week numbers for NFL and NCAA football.
Sportsbooks	array	—	DraftKings, FanDuel, BetMGM	Books included in per-book odds. Consensus and opening lines are always included.
Game status	string	—	all	all, upcoming, live or finished.
Teams	array	—	—	Team names or abbreviations to keep.
Minimum bets	integer	—	0	Skip games with fewer tracked bets.
Minimum sharp money gap (%)	integer	—	0	Keep games where money share beats ticket share by this many points.
Include venue & weather	boolean	—	false	Adds venue, roof and weather.
Include game injuries	boolean	—	false	Adds both teams' injury report.
Include team stats	boolean	—	false	Adds season team stats.
Include player props	boolean	—	false	Adds prop lines per player.
Prop types	array	—	first three per sport	For example passing_yards, anytime_td, points, strikeouts.
Futures markets	array	—	first market	Words from the market name, for example Superbowl or MVP.
Snapshot name	string	—	—	Enables changeSinceLastRun across scheduled runs.
Alert webhook URL	string	—	—	Receives flagged games as a JSON POST.
Alert on	array	—	reverse line move, steam, arbitrage	Also middle, sharp gap and line moved since last run.
Alert: minimum line move	number	—	1	Points since the last run.
Alert: minimum sharp gap (%)	integer	—	20	Money minus tickets.
Max items per league	integer	—	5	Cap per league.
Proxy configuration	object	—	no proxy	Enable only if requests are blocked.

The numbered markers in the screenshot show the three fields most runs need:

1. League page URLs — paste an Action Network league page such as https://www.actionnetwork.com/nfl/odds. The league is read from the URL.
2. Leagues — or pick leagues directly (for example nfl, nba). Fields 1 and 2 are combined, so you can use either or both.
3. Sportsbooks — the books whose odds are listed for each game (DraftKings, FanDuel and BetMGM by default). Consensus and opening lines are always included.

Leave Dates and Weeks empty to scrape the current slate.

The numbered markers in this screenshot show the filters and optional detail blocks:

1. Minimum bets — skip games with fewer tracked bets than this number. Leave at 0 to keep every game.
2. Minimum sharp money gap (%) — keep only games where, on some side, the share of money beats the share of tickets by at least this many percentage points.
3. Include venue & weather — adds the stadium, roof type and game-time weather to each game.
4. Include game injuries — adds the injury report for both teams to each game.
5. Include team stats — adds season team stats for both teams to each game.
6. Include player props — adds player prop lines (consensus, opening and per sportsbook). Choose which ones in Prop types, for example passing_yards or anytime_td.

Options 3 to 6 are billed as a game-details event for each game they enrich.

Supported URL types:

• https://www.actionnetwork.com/nfl/odds and the same page for any supported league (/nba/odds, /mlb/odds, /nhl/odds, /ncaaf/odds, ...)

📦 Action Network odds scraper output data

The dataset is JSON, one record per game, with the keys gameId, league, status, startTime, season, week, network, totalBets, away, home, winner, consensus, opening, lineMovement, publicBetting, sharpMoneyGaps, maxSharpMoneyGap, impliedProbability, bestOdds, signals, arbitrage, middles, result, closingLineValue, changeSinceLastRun, books and scrapedAt, plus details and props when switched on. Futures, injuries and standings runs return their own record shapes.

There are 4 dataset views: Games (lines, bets and signals), Futures (outright prices), Injuries (league injury report) and Standings (records with ATS and over/under).

Output at a glance:

League	Game	Date	Home spread	Total	Bets	Max sharp gap
NBA	BKN @ CHA	2026-10-06	-5.5	211.5	353	24
NBA	NOP @ OKC	2026-10-07	-3.5	222.5	419	10

Sample output (raw JSON):

[
  {
    "gameId": 295971,
    "league": "nba",
    "status": "scheduled",
    "statusDisplay": null,
    "startTime": "2026-10-06T23:00:00.000Z",
    "season": 2026,
    "seasonType": "pre",
    "week": null,
    "network": "NBA TV",
    "totalBets": 353,
    "away": {
      "id": 165,
      "name": "Brooklyn Nets",
      "abbr": "BKN",
      "logo": "https://static.sprtactn.co/teamlogos/nba/100/bkn.png",
      "record": "0-0",
      "rotationNumber": 555,
      "score": null
    },
    "home": {
      "id": 158,
      "name": "Charlotte Hornets",
      "abbr": "CHA",
      "logo": "https://static.sprtactn.co/teamlogos/nba/100/cha.png",
      "record": "0-0",
      "rotationNumber": 556,
      "score": null
    },
    "winner": null,
    "consensus": {
      "moneyline": {
        "away": 170,
        "home": -205,
        "draw": null,
        "hold": 0.0425
      },
      "spread": {
        "awayLine": 5.5,
        "awayOdds": -108,
        "homeLine": -5.5,
        "homeOdds": -113,
        "hold": 0.0497
      },
      "total": {
        "line": 211.5,
        "overOdds": -117,
        "underOdds": -115,
        "hold": 0.0741
      }
    },
    "opening": {
      "moneyline": {
        "away": 164,
        "home": -205,
        "draw": null,
        "hold": 0.0509
      },
      "spread": {
        "awayLine": 4.5,
        "awayOdds": -100,
        "homeLine": -4.5,
        "homeOdds": -122,
        "hold": 0.0495
      },
      "total": {
        "line": 211.5,
        "overOdds": -112,
        "underOdds": -112,
        "hold": 0.0566
      }
    },
    "lineMovement": {
      "spreadHome": -1,
      "total": 0,
      "moneylineAway": 6,
      "moneylineHome": 0
    },
    "publicBetting": {
      "moneyline": {
        "awayTickets": 16,
        "homeTickets": 84,
        "awayMoney": 40,
        "homeMoney": 60
      },
      "spread": {
        "awayTickets": 43,
        "homeTickets": 57,
        "awayMoney": 57,
        "homeMoney": 43
      },
      "total": {
        "overTickets": 71,
        "underTickets": 29,
        "overMoney": 51,
        "underMoney": 49
      }
    },
    "sharpMoneyGaps": {
      "moneylineAway": 24,
      "moneylineHome": -24,
      "spreadAway": 14,
      "spreadHome": -14,
      "totalOver": -20,
      "totalUnder": 20
    },
    "maxSharpMoneyGap": 24,
    "impliedProbability": {
      "away": 0.3553,
      "home": 0.6447
    },
    "bestOdds": {
      "moneylineAway": {
        "odds": 170,
        "book": "DraftKings"
      },
      "moneylineHome": {
        "odds": -205,
        "book": "DraftKings"
      },
      "spreadAway": {
        "odds": -105,
        "book": "FanDuel"
      },
      "spreadHome": {
        "odds": -115,
        "book": "FanDuel"
      },
      "totalOver": {
        "odds": -110,
        "book": "DraftKings"
      },
      "totalUnder": {
        "odds": -110,
        "book": "DraftKings"
      }
    },
    "books": [
      {
        "book": "DraftKings",
        "moneyline": {
          "away": 170,
          "home": -205,
          "draw": null,
          "hold": 0.0425
        },
        "spread": {
          "awayLine": 7.5,
          "awayOdds": -115,
          "homeLine": -7.5,
          "homeOdds": -105,
          "hold": 0.0471
        },
        "total": {
          "line": 211.5,
          "overOdds": -110,
          "underOdds": -110,
          "hold": 0.0476
        }
      },
      {
        "book": "FanDuel",
        "moneyline": {
          "away": 164,
          "home": -205,
          "draw": null,
          "hold": 0.0509
        },
        "spread": {
          "awayLine": 5.5,
          "awayOdds": -105,
          "homeLine": -5.5,
          "homeOdds": -115,
          "hold": 0.0471
        },
        "total": {
          "line": 212.5,
          "overOdds": -112,
          "underOdds": -112,
          "hold": 0.0566
        }
      }
    ],
    "scrapedAt": "2026-10-06T14:55:26.539Z",
    "signals": [],
    "arbitrage": [],
    "middles": [
      {
        "market": "spread",
        "windowPoints": 2,
        "legs": [
          {
            "book": "DraftKings",
            "side": "away",
            "odds": -115,
            "line": 7.5
          },
          {
            "book": "FanDuel",
            "side": "home",
            "odds": -115,
            "line": -5.5
          }
        ]
      },
      {
        "market": "total",
        "windowPoints": 1,
        "legs": [
          {
            "book": "DraftKings",
            "side": "over",
            "odds": -110,
            "line": 211.5
          },
          {
            "book": "FanDuel",
            "side": "under",
            "odds": -112,
            "line": 212.5
          }
        ]
      }
    ],
    "result": null,
    "closingLineValue": null,
    "changeSinceLastRun": null
  }
]

🐍 How to scrape Action Network with Python, JavaScript or the API

Run the actor programmatically with the official Apify clients. Replace <YOUR_API_TOKEN> with the token from your Apify Console.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("confidential_gnat/action-network-odds-scraper").call(run_input={
    "leagues": ["nfl", "nba"],
    "books": ["draftkings", "fanduel"],
    "maxItems": 10,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('confidential_gnat/action-network-odds-scraper').call({
    leagues: ['nfl', 'nba'],
    books: ['draftkings', 'fanduel'],
    maxItems: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL — start a run and wait for the dataset:

curl -X POST "https://api.apify.com/v2/acts/confidential_gnat~action-network-odds-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"leagues": ["nfl", "nba"], "books": ["draftkings", "fanduel"], "maxItems": 10}'

💡 What you can use Action Network odds data for

• Line shopping and arbitrage detection across sportsbooks
• Tracking public betting percentages against line movement to spot sharp money
• Building betting models with opening, closing and graded results
• Daily alerts on reverse line moves and steam
• Futures and player-prop price comparison for content and research

Sports bettors, analysts, tipster sites, sports media and fintech or odds-comparison teams typically use this data.

⚠️ Limitations & known issues

• Soccer leagues — Premier League, La Liga, Bundesliga, Serie A and Ligue 1 return games only when matches are on the schedule.
• Tennis, UFC and boxing — not supported.
• Finished games — sportsbook lines are usually gone once a game is final; only the consensus and opening lines remain.
• Player futures — player-based futures return a player id, not a name.
• Public splits — splits come from Action Network's consensus feed and are the same for every book.

❓ Frequently asked questions

Can I scrape Action Network legally?

The actor only collects data already publicly visible on actionnetwork.com — no login, paywall or private content is accessed. Scraping publicly available data is generally considered lawful (see hiQ Labs v. LinkedIn), but you are responsible for complying with the site's Terms of Service and applicable laws.

What data does the Action Network scraper return?

Per game: teams, records, scores, consensus and opening odds, public ticket and money splits, line movement, best prices, betting signals and per-book odds. Optional blocks add player props, weather, injuries and team stats.

How many games can I scrape from one league?

maxItems limits the games saved for each league, not the whole run. The default is 5.

Do I need a proxy to scrape actionnetwork.com?

No. Proxies are off by default and runs work without one. Turn on a proxy only if you see blocked requests.

How do I scrape Action Network with Python?

Use the Python example above and iterate over the dataset items returned by the run.

Can I run this Action Network scraper on a schedule?

Yes, with Apify Schedules. Set the same Snapshot name on every scheduled run and each game gets changeSinceLastRun, showing how its lines moved since the last run. Add an alert webhook to be notified of reverse line moves, steam or arbitrage.

What output formats are supported?

JSON, CSV, Excel, XML and RSS, either from the Output tab or through the Apify API.

What are reverse line moves and steam?

A reverse line move is when most tickets are on one side but the line moves toward the other. Steam is when the share of money runs well ahead of the share of tickets on a side and the line moves toward it.

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💬 Support & contact

If you encounter any issues or have questions, please open an issue.

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