We extract real-time moneylines, spreads, prop bets, DFS salaries, and contest structures from DraftKings. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery at sub-minute cadences.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Moneyline & Spreads objects from draftkings.com. All fields typed and schema-versioned.
"match_id": "DK-NFL-84921", "sport": "NFL", "league": "NFL", "home_team": "Kansas City Chiefs", "away_team": "Buffalo Bills", "home_ml": -135, "away_ml": 115, "home_spread": -2.5, "away_spread": 2.5, "over_under": 51.5
| # | match_id | sport | league | home_team | away_team | start_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Player Props objects from draftkings.com. All fields typed and schema-versioned.
"match_id": "DK-NFL-84921", "player_name": "Patrick Mahomes", "prop_type": "Passing Yards", "line": 285.5, "over_odds": -110, "under_odds": -110, "implied_probability": 52.38, "market_status": "OPEN"
| # | match_id | player_name | prop_type | line | over_odds | under_odds |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for DFS Salaries objects from draftkings.com. All fields typed and schema-versioned.
"player_id": "PL-9482", "player_name": "Josh Allen", "sport": "NFL", "position": "QB", "salary": 8200, "fppg": 24.5, "game_info": "BUF@KC", "opponent": "KC", "injury_status": "ACTIVE"
| # | player_id | player_name | sport | position | salary | fppg |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Futures Markets objects from draftkings.com. All fields typed and schema-versioned.
"sport": "NFL", "league": "NFL", "market_type": "Super Bowl Winner", "selection": "San Francisco 49ers", "odds": 550, "previous_odds": 600, "implied_probability": 15.38, "settlement_date": "2027-02-14T00:00:00Z"
| # | sport | league | market_type | selection | odds | previous_odds |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Contest Data objects from draftkings.com. All fields typed and schema-versioned.
"contest_id": "CT-10948", "name": "NFL $1M Play-Action", "entry_fee": 3.0, "prize_pool": 1000000.0, "max_entries": 396825, "current_entries": 312094, "start_time": "2026-09-13T17:00:00Z", "payout_structure": "Top 20%"
| # | contest_id | name | entry_fee | prize_pool | max_entries | current_entries |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our DraftKings scraper handles the complexities of real-time sports data: WebSocket interception, React state hydration, and high-frequency diffing to capture line movements before the market closes.
Capture moneylines, spreads, and totals across all major sports with sub-minute latency. Track line movement as sharp money enters the market.
Extract player pools, salaries, positions, and injury designations for all Daily Fantasy Sports slates.
Monitor passing yards, strikeouts, points, and niche prop bets with over/under odds and implied probabilities.
Track championship odds, MVP races, and season win totals as they shift week over week.
Intercept WebSocket streams to capture volatile in-play odds and market suspensions in real time.
Extract entry fees, prize pools, payout structures, and overlay indicators for DFS contests.
DraftKings offers different lines per state. We route requests through state-specific residential proxies to capture localised markets.
Only receive records when lines move. Our hash-based diffing reduces downstream compute load by filtering out static markets.
Build predictive models with timestamped historical odds and line movement data logged per run.
Brief in. Clean data out.
Specify sports, leagues, market types, or DFS slates. We configure the extraction schema and update frequency.
We deploy Playwright crawlers, WebSocket interceptors, and state-specific proxy routing for draftkings.com.
Schema validation, latency checks, and null-rate monitoring ensure data integrity before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook at sub-minute intervals.
Sportsbooks invest heavily in scraping detection and data obfuscation. Here is how we maintain reliable data feeds for algorithmic trading and analytics.
DraftKings restricts access based on geolocation and flags data-center IPs. Our crawlers use state-specific residential ISP proxies with realistic browser fingerprints to access localised betting markets without triggering blocks.
DraftKings pushes live odds via WebSockets rather than HTTP requests. We intercept and decode these WebSocket frames in real time, capturing line movements and market suspensions instantly.
Instead of parsing complex DOM structures, we intercept the React hydration payloads embedded in the page source. This provides clean, structured JSON data directly from DraftKings' backend APIs.
Sports odds change rapidly. We maintain an in-memory hash index of all current markets. Subsequent runs only push diffs, reducing latency and downstream processing load.
Every run emits structured logs to our observability stack. We alert on missing markets, stale odds, and schema drift, ensuring your trading algorithms always have fresh data.
Algorithmic traders compare DraftKings odds against other sportsbooks to identify arbitrage opportunities and positive expected value (EV) bets.
Fantasy sports syndicates ingest player salaries and injury updates to run mixed-integer linear programming models for optimal lineup construction.
Quantitative funds feed real-time line movement and prop bet data into machine learning models to predict market inefficiencies.
Competing sportsbooks monitor DraftKings' odds and market suspensions to adjust their own lines and manage exposure.
Sports analytics firms track betting volume indicators and line shifts to understand public sentiment and sharp money movement.
Media companies and analysts use historical odds and prop lines to enrich sports broadcasts and written content.
"DraftKings generates millions of pricing updates daily across sportsbooks and DFS markets. None of it is queryable unless you build the infrastructure to capture it."
Most teams underestimate the compute required for sports data. Reliable DraftKings extraction requires WebSocket interception, React state hydration, sub-minute proxy rotation, and microsecond anomaly monitoring. DataFlirt absorbs that complexity so your quants can focus on the models, not the infrastructure.
Everything supported by our draftkings.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.
Playwright handles WebSocket interception and React hydration, while Scrapy manages routing and state. Optimised for sub-minute latency.
We maintain pools of residential ISP proxies mapped to specific US states, ensuring access to localised betting markets without triggering geofences.
Pipelines run on AWS ECS with Redis-backed in-memory diffing. Airflow handles scheduling, while Prometheus monitors microsecond latency metrics.
Data delivered to where your team already works — no new tooling required.
About draftkings.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available odds and DFS salaries is generally permissible under US law, provided it does not circumvent authentication or violate terms of service in a disruptive manner. DataFlirt targets only public data and employs rate-limiting to ensure no degradation of DraftKings' services. Clients should consult legal counsel for specific trading use cases.
For live in-game markets, our WebSocket interceptors can push updates via Webhook within milliseconds of the line changing on DraftKings' frontend. For pre-match markets, we typically configure sub-minute polling intervals.
Yes. DraftKings offers different odds and markets depending on the state. We route requests through state-specific residential proxies (e.g., New Jersey, New York, Pennsylvania) to capture the exact lines available in that jurisdiction.
Yes. We extract entry fees, total prize pools, max entries, current entries, and payout structures for all public DFS contests across all sports.
DraftKings uses sophisticated anti-bot measures including Datadome. We bypass this using high-quality residential ISP proxies, realistic browser fingerprints via Playwright, and solving challenges via CapSolver when necessary.
We begin logging historical data from the moment your pipeline is commissioned. Every line movement is timestamped and stored, allowing you to build a comprehensive time-series database for backtesting models.
Our minimum engagement typically starts with a defined set of sports or leagues (e.g., NFL and NBA moneylines and spreads). Pricing scales based on the number of markets tracked and the update frequency required.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily DFS salary dumps or sub-second live odds streaming for algorithmic trading, we build and operate the infrastructure. Tell us your requirements.
