We extract real-time moneylines, spreads, prop bets, and DFS player pricing from FanDuel. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Sportsbook Odds objects from fanduel.com. All fields typed and schema-versioned.
"game_id": "NBA_749201", "sport": "Basketball", "league": "NBA", "home_team": "Boston Celtics", "away_team": "Miami Heat", "market_type": "Moneyline", "home_odds": -150, "away_odds": 130
| # | game_id | sport | league | home_team | away_team | start_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Player Props objects from fanduel.com. All fields typed and schema-versioned.
"player_name": "Jayson Tatum", "prop_type": "Total Points", "over_under_line": 28.5, "over_odds": -110, "under_odds": -110, "game_id": "NBA_749201", "status": "OPEN"
| # | player_name | player_id | team | prop_type | over_under_line | over_odds |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for DFS Pricing objects from fanduel.com. All fields typed and schema-versioned.
"name": "Patrick Mahomes", "position": "QB", "team": "KC", "salary": 8500, "fppg": 24.5, "injury_status": "ACTIVE", "slate_id": "NFL_SUN_MAIN"
| # | player_id | name | position | team | opponent | salary |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Futures Markets objects from fanduel.com. All fields typed and schema-versioned.
"market_name": "Super Bowl LIX Winner", "selection_name": "San Francisco 49ers", "odds": 550, "probability_implied": 0.1538, "status": "OPEN", "scrape_timestamp": "2026-05-12T09:14:00Z"
| # | market_id | sport | league | market_name | selection_name | odds |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for In-Play Odds objects from fanduel.com. All fields typed and schema-versioned.
"game_id": "MLB_88392", "current_score": "3-2", "period": "Bottom 7th", "home_live_odds": -250, "live_total": 7.5, "suspended_status": false, "last_updated": "2026-05-12T09:14:33Z"
| # | game_id | current_score | time_remaining | period | home_live_odds | away_live_odds |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our FanDuel scraper extracts odds directly from underlying API feeds, bypassing HTML parsing to deliver high-frequency updates for moneylines, props, and DFS salaries.
Capture moneylines, spreads, and totals across NFL, NBA, MLB, NHL, and international soccer leagues with sub-second latency.
Extract player salaries, positions, FPPG, and injury designations across all daily fantasy slates.
Monitor over/under lines for points, rebounds, passing yards, and exotic props across all active games.
Track championship odds, MVP races, and season win totals as they shift throughout the year.
High-frequency polling for live game odds, current scores, and line movement during active matchups.
Extract correlated odds pricing and availability for SGP combinations on major sporting events.
Geo-targeted scraping using state-specific residential proxies to access local odds in NJ, NY, NV, and other regulated markets.
Timestamped odds changes to track sharp money, market adjustments, and opening versus closing lines.
Configure continuous webhooks for live odds or run one-off bulk exports for historical slate analysis.
Brief in. Clean data out.
Specify leagues, bet types, DFS slates, or specific game IDs. We map the extraction schema.
We configure API interception, geo-specific proxy routing, and rate-limit management for fanduel.com.
Schema validation, odds-outlier detection, and latency checks before full production deployment.
JSON / CSV / Parquet pushed to your S3 bucket or delivered via Webhook on agreed cadence.
Sportsbooks employ aggressive rate limiting and geo-blocking. Here is how we maintain reliable odds delivery.
Parsing HTML for odds is too slow. We intercept FanDuel's underlying JSON APIs and WebSocket feeds, extracting the raw probability and pricing data before it ever renders in a browser. This guarantees sub-second latency and zero layout-breakage.
FanDuel displays different odds and promotions depending on the user's location. We route requests through state-specific residential proxies (e.g., New Jersey, New York, Nevada) to capture the exact market data you require.
Extracting in-play odds requires high-frequency polling that triggers standard WAF blocks. We distribute requests across thousands of IPs, managing headers and TLS fingerprints to avoid rate limits while maintaining data velocity.
To reduce webhook noise, we maintain state on all active markets. The pipeline only transmits a payload when a line, odd, or status changes, providing a clean stream of market adjustments.
In sports betting, stale data is worse than no data. We monitor timestamp deltas and alert on latency spikes immediately, ensuring your predictive models are always fed with current market reality.
Affiliates and betting syndicates compare FanDuel odds against DraftKings and BetMGM to identify arbitrage opportunities.
Daily fantasy players feed salary data, injury statuses, and FPPG into machine learning models to generate optimal lineups.
Quantitative analysts train models on historical line movements and closing odds to identify market inefficiencies.
Competing sportsbooks monitor FanDuel's pricing and line movements to adjust their own exposure and risk profiles.
Sports content publishers display live FanDuel odds and sign-up promotions directly on their articles and match previews.
Bettors analyse the delta between opening lines and closing lines to track where sharp syndicates are placing capital.
"FanDuel's pricing engine processes millions of probability calculations a minute. Capturing that data stream requires infrastructure that can match their velocity."
Extracting sports betting data is a race against time. Odds shift in seconds, and traditional scraping methods return stale data. DataFlirt bypasses HTML parsing by intercepting FanDuel's underlying API and WebSocket feeds, delivering high-fidelity odds updates directly to your webhook or database with sub-second latency.
Everything supported by our fanduel.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We reverse-engineer frontend network requests to target backend APIs directly, bypassing the DOM entirely for maximum extraction velocity and structural stability.
Our infrastructure includes dedicated US residential IP pools mapped to specific states, allowing us to accurately scrape geo-fenced odds and promotional markets.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fanduel.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available odds and DFS salaries is generally permissible. DataFlirt targets only public, non-authenticated market data. We do not extract personal user data or circumvent authentication walls. Clients should review FanDuel's ToS and consult legal counsel for specific use cases.
We distribute requests across large pools of state-specific residential proxies, manage TLS fingerprints, and intercept API traffic directly rather than rendering full pages. This allows high-frequency polling without triggering WAF blocks.
Yes. We route extraction traffic through residential IPs located in specific US states (e.g., New Jersey, Pennsylvania, Nevada) to capture accurate local pricing and promotions.
For live matches, we configure continuous polling pipelines that push JSON payloads via Webhook the moment a line changes, typically achieving sub-second latency from the source update.
We begin tracking line movement the moment your pipeline is commissioned. We do not maintain a pre-existing historical database of past seasons, but we can build a forward-looking archive for your models.
Yes. We extract complete DFS slates including player salaries, positions, FPPG averages, and injury designations across NFL, NBA, MLB, and NHL contests.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily DFS salary export or a low-latency webhook for in-play odds — we scope, build, and operate the pipeline. Tell us what you need.
