🎰 FanDuel Scraper

🚀 Pull live FanDuel Sportsbook odds in seconds. Filter by league, scrape moneyline, spread, total, and futures markets. No API key, no registration, no manual line-watching.

🕒 Last updated: 2026-05-05 · 📊 28 fields per record · 7 leagues covered · moneyline + spread + total + futures · American & decimal odds

FanDuel runs the largest sportsbook in the United States and posts a constantly shifting board of game lines, prop markets, and futures across NFL, NBA, MLB, NHL, MMA, soccer, and tennis. The public web app reads from a JSON feed that we tap directly, which means every record arrives fully structured: home and away teams, American odds, decimal odds, point spreads, totals, and the underlying market identifiers FanDuel uses to keep the board in sync. There is no captcha pass, no headless browser, and no waiting for a page to render.

This Actor was built for line shoppers, arbitrage hunters, model builders, and anyone tracking how FanDuel prices the market against the rest of the industry. You pick a sport, set a cap, and get back a flat dataset that drops straight into Excel, Sheets, BigQuery, or your favorite betting model. Logos, league names, and event start times come pre-formatted, and the same record shape works for game-line markets and league futures, so a single pipeline handles both. Free runs are capped at 10 records so you can preview the schema before committing.

🎯 Target Audience	💡 Primary Use Cases
Sports bettors and sharps	Line shopping across sportsbooks
Odds comparison and aggregator services	Building real-time best-price feeds
Sports analytics and model-building teams	Closing-line value tracking and EV models
Betting pool operators and pick'em apps	Auto-updating spreads, totals, and props for members

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📋 What the FanDuel Scraper does

• 🏈 Filter by league. Pick NFL, NBA, MLB, NHL, MMA, soccer, tennis, or scrape every supported league at once.
• 💰 Capture the big three. Every game-line record contains moneyline, spread, and total in one row.
• 🎯 Optional futures. Toggle a flag and pull division winners, championship outright odds, and award markets next to the game lines.
• 🔢 Bound the run. Use maxItems to keep test runs cheap and full pulls predictable.
• 🌎 Multi-state failover. The scraper rotates through FanDuel state hosts automatically so a single regional outage will not break your pipeline.

Each record carries event identifiers, team names and abbreviations, official team logos, ISO and human-friendly start times, in-play status, and both American and decimal odds for every line. Futures records add a runners array with one entry per contender, each with its own American odds, decimal odds, and team logo, so you can rebuild a complete futures board from a single row.

💡 Why it matters: A single sportsbook never tells you the full price story. Pairing FanDuel with other books exposes the soft sides of the market, the books that move first, and the situations where the public sits on a stale number. This Actor is the FanDuel half of that comparison, structured the same way as our DraftKings Scraper so you can join the two on event names with one query.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough of running the Actor and joining the output to a second sportsbook for line shopping.

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⚙️ Input

Field	Type	Required	Description
maxItems	integer	No (prefilled 10)	Caps the number of records returned. Free plans are limited to 10. Paid plans can request up to 1,000,000.
sport	enum	Yes	One of ALL, NFL, NBA, MLB, NHL, MMA, SOC, TEN.
includeFutures	boolean	No	When true, the dataset also contains league futures and outright winner markets in addition to game lines.

Example: scrape today's MLB game lines.

{
    "sport": "MLB",
    "maxItems": 100,
    "includeFutures": false
}

Example: pull every supported league plus championship futures.

{
    "sport": "ALL",
    "maxItems": 5000,
    "includeFutures": true
}

⚠️ Good to Know: Odds move constantly. A line you scrape at 2:00 PM may already be stale by 2:05 PM. For best-price work, run the Actor on a schedule (every 1 to 5 minutes is typical) and key on eventId to detect line movement between runs.

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📊 Output

Every run produces a flat JSON dataset. Each row is either a game-line event or, when includeFutures is enabled, a league futures market. You can download the results as JSON, CSV, Excel, HTML, or XML.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string	https://assets.sportsbook.fanduel.com/images/team/mlb/miami_marlins.png
🆔 eventId	number	35570352
📛 eventName	string	Baltimore Orioles (C Bassitt) @ Miami Marlins (S Alcantara)
🏷️ sport	string	MLB
🏟️ sportName	string	Baseball
🏆 league	string	MLB
🏠 homeTeam	string	Miami Marlins
✈️ awayTeam	string	Baltimore Orioles
🔠 homeTeamAbbr	string	MIA Marlins
🔠 awayTeamAbbr	string	BAL Orioles
🖼️ awayTeamLogo	string	https://assets.sportsbook.fanduel.com/images/team/mlb/baltimore_orioles.png
⏰ startTime	string	May 5, 2026, 6:41 PM
🟢 inPlay	boolean	true
💵 moneylineHome	number	132
💵 moneylineAway	number	-170
🔢 moneylineHomeDecimal	number	2.32
🔢 moneylineAwayDecimal	number	1.59
📐 spreadHome	number	1.5
📐 spreadHomeOdds	number	-158
📐 spreadAway	number	-1.5
📐 spreadAwayOdds	number	118
📊 totalLine	number	14.5
📊 totalOverOdds	number	-120
📊 totalUnderOdds	number	-110
🪪 primaryMarketId	string	734.167451276
🪪 competitionId	number	11196870
🔗 url	string	https://sportsbook.fanduel.com/mlb/35570352
🕒 scrapedAt	string (ISO 8601)	2026-05-05T23:53:57.308Z

Futures records share the same record shape but add marketId, marketName, marketType, numberOfRunners, marketTime, and a runners array with one entry per contender.

📦 Sample records

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✨ Why choose this Actor

🔍	Capability
💸	Both odds formats. Every moneyline ships with American and decimal odds, so European and US workflows both work without extra math.
🛰️	State-host failover. The scraper rotates through 18 FanDuel state hosts on every retry, smoothing over single-region outages.
🧱	Flat schema. Game lines arrive as one row per event with the big three (moneyline, spread, total) in the same record. No follow-up calls.
🎯	Optional futures. Flip one boolean and the same dataset adds league futures with full runner-level breakdowns.
⚡	API-first. No headless browser, no captcha pass. Runs cost cents, even at scale.
🤝	Pairs with DraftKings Scraper. Identical event identifiers shape, identical record format, ready for line-shopping joins.
🧾	Predictable cost. maxItems is honored exactly, so test runs stay cheap and production runs are easy to budget.

📊 A typical NFL Sunday returns 14 game lines and 6 to 12 futures markets in under 3 seconds.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ FanDuel Scraper (this Actor)	Pay per run	All 7 supported leagues	Real-time on demand	Sport, futures toggle, maxItems	None, ready to run
Paid live odds APIs	Subscription, often $500+/mo	Multi-book	Streaming	Vendor-defined	Account, billing, key rotation
Manual screenshots	Free, time-expensive	Whatever you watch	Whenever you remember	None	Browser only
Generic web scrapers	Pay per run	Variable	Real-time	DIY selectors	Custom scripts and maintenance
Internal feed integrations	Negotiated	Single book	Streaming	Vendor-defined	Months of contracts

For most line-shopping and modeling work, a scheduled run of this Actor delivers the same data as a paid feed at a fraction of the cost.

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🚀 How to use

1. 🔑 Sign up. Create a free Apify account at console.apify.com/sign-up?fpr=vmoqkp.
2. 🎯 Open the Actor. Find the FanDuel Scraper in your console and click Try for free.
3. ⚙️ Pick your sport and cap. Set sport (or leave it on ALL) and a sensible maxItems for your test.
4. ▶️ Run it. Click Start. The first records appear within a couple of seconds.
5. 📥 Export. Download the dataset as JSON, CSV, or Excel, or pipe it into your warehouse via the Apify API.

⏱️ Total time: under 3 minutes from sign-up to first dataset.

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💼 Business use cases

📈 Odds aggregators and best-price feeds Power "best line" widgets across multiple sportsbooks Ship affiliate-driven price comparison pages Detect arbitrage windows in real time Backstop a primary feed during vendor outages	🧠 Quant and modeling teams Track closing line value (CLV) across a full season Validate model edges against live FanDuel pricing Build training datasets of opening, intraday, and closing lines Compare implied probabilities versus model probabilities
📺 Media and content Pre-game articles with up-to-the-minute odds tables Automated social posts when lines cross key thresholds Newsletters that quote real numbers, not stale snapshots Podcast and stream lower-third graphics	🎲 Pool and pick'em operators Auto-update weekly spreads and totals for members Generate confidence-pool point values from market odds Sync survivor-pool win probabilities with live moneylines Settle props from a known-source feed

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating FanDuel Scraper

Plug the Actor into anything that can call an HTTP endpoint. Apify ships first-class clients in every popular language and a built-in scheduler.

• 🟦 Node.js / TypeScript: use apify-client to fire runs and pull dataset items in a few lines.
• 🐍 Python: the Apify Python client wraps the same API for data science notebooks and Airflow DAGs.
• 📚 Reference docs: the full Apify API gives you raw HTTP control for any other stack.

For continuous odds tracking, attach the Actor to an Apify Schedule and have it run every 1, 5, or 15 minutes. Output goes to a versioned dataset you can stream into BigQuery, Snowflake, or your own database.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Google Sheets - pipe odds straight into a live spreadsheet for quick analysis.
• Airtable - sync each run into a structured Airtable base.
• Slack - get pings when key lines cross thresholds.
• Zapier - trigger thousands of downstream actions from any FanDuel run.
• Make - drop the Actor into multi-step workflows visually.
• Webhooks - POST results to your own endpoints in real time.

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🔗 Recommended Actors

• 🏈 DraftKings Scraper - the natural pair for line shopping; identical record shape on the DraftKings side.
• 🏟️ ESPN Sports Data Scraper - schedules, scores, and team metadata to enrich your odds rows.
• 🎟️ StubHub Scraper - real-time event ticket pricing for the same games you're tracking.
• 🎫 Ticketmaster Scraper - primary-market event listings for cross-referencing tip-offs and start times.
• 📅 Eventbrite Event Scraper - a broader event feed for sports-adjacent venue research.

💡 Pro Tip: browse the complete ParseForge collection for more sports, ticketing, and finance scrapers.

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🆘 Need Help? Hit a snag, found a missing market, or have a feature request? Open our contact form and we will get back to you within one business day.

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Disclaimer: This Actor is an independent tool that reads publicly available data published on FanDuel's website. It is not affiliated with, endorsed by, or sponsored by FanDuel or its parent companies. All trademarks belong to their respective owners. Sports betting involves risk; this Actor is a data tool and is not a tipster, advisor, or guarantor of outcomes. Use the data in compliance with applicable laws and the source site's terms of service.