DraftKings API Actor The DraftKings API Actor is a powerful web scraping tool designed to extract comprehensive sports betting data and daily fantasy sports (DFS) information from the DraftKings platform. It provides real-time access to betting odds, contest details, and player statistics across multiple sports. ## Features ### Real-time Betting Odds - Scrapes current sportsbook lines across multiple sports - Captures point spreads, moneylines, over/under totals, and prop bets - Tracks odds and line movements throughout the day ### Daily Fantasy Sports Data - Automated contest monitoring with entry fees, prize pools, and participant counts - Comprehensive player statistics including projected points, salaries, and ownership percentages - Draft group tracking and organization ### Multi-Sport Coverage - NFL - National Football League - NBA - National Basketball Association - MLB - Major League Baseball - NHL - National Hockey League - LOL - League of Legends (Esports) - CS - Counter-Strike (Esports) - SOCCER - International Soccer - MMA - Mixed Martial Arts - NASCAR - Stock Car Racing - GOLF - Professional Golf - TENNIS - Professional Tennis ## Input Configuration The Actor accepts the following input parameters: ### sport (required) - Type: String (select dropdown) - Description: Sport code to scrape contests and players for - Options: NFL, NBA, MLB, NHL, LOL, CS, SOCCER, MMA, NASCAR, GOLF, TENNIS - Default: LOL ### maxContests - Type: Integer - Description: Maximum number of contests to scrape. Set to a lower number for faster runs. - Default: 100 - Range: 1-1000 ### includePlayerData - Type: Boolean - Description: If enabled, will fetch detailed player information for each draft group. Disable for faster execution. - Default: true ## Example Input json { "sport": "NFL", "maxContests": 50, "includePlayerData": true } ## Output Data The Actor provides structured JSON output with two types of records: ### Contest Data Each contest record includes: - type: "contest" - sport: Sport code - contestId: Unique contest identifier - contestName: Contest name/title - draftGroupId: Associated draft group ID - entryFee: Contest entry fee - totalPrizes: Total prize pool - maxEntries: Maximum number of entries allowed - currentEntries: Current number of entries - gameType: Contest game type - startTime: Contest start time - scrapedAt: Timestamp when data was collected ### Player Data Each player record includes: - type: "player" - sport: Sport code - draftGroupId: Associated draft group ID - playerId: Unique player identifier - playerName: Player's display name - firstName: Player's first name - lastName: Player's last name - position: Playing position - teamAbbreviation: Team abbreviation - salary: DFS salary - pointsPerGame: Average points per game - competition: Competition/league name - status: Player status - draftable: Whether player is available for draft - scrapedAt: Timestamp when data was collected ## Example Output json [ { "type": "contest", "sport": "NFL", "contestId": 123456, "contestName": "$100K Sunday Million", "draftGroupId": 98765, "entryFee": 20, "totalPrizes": 100000, "maxEntries": 10000, "currentEntries": 8543, "gameType": "Classic", "startTime": "2025-11-04T18:00:00Z", "scrapedAt": "2025-11-04T17:30:00Z" }, { "type": "player", "sport": "NFL", "draftGroupId": 98765, "playerId": 456789, "playerName": "Patrick Mahomes", "firstName": "Patrick", "lastName": "Mahomes", "position": "QB", "teamAbbreviation": "KC", "salary": 8500, "pointsPerGame": 24.3, "competition": "NFL", "status": "Active", "draftable": true, "scrapedAt": "2025-11-04T17:30:00Z" } ] ## Output Views The Actor provides three pre-configured dataset views: ### Overview Combined view showing both contests and players with key fields: - Type, Sport, Contest Name, Player Name, Entry Fee, Salary, Scraped At ### Contests Focused view for contest data: - Type, Sport, Contest Name, Entry Fee, Prize Pool, Entries, Max Entries, Game Type, Start Time, Draft Group ID ### Players Focused view for player data: - Type, Sport, Player Name, Position, Team, Salary, PPG, Status, Competition, Draft Group ID ## Use Cases ### Sports Betting Analysis - Track line movements and identify betting opportunities - Compare odds across different contest types - Monitor prize pool growth and entry trends ### Daily Fantasy Sports Optimization - Build optimal lineups using salary and projection data - Track player ownership percentages - Identify value plays and contrarian picks ### Market Research - Analyze DraftKings contest offerings - Track player pricing trends - Monitor competition landscape ### Data Collection for AI/ML - Gather training data for prediction models - Historical trend analysis - Price modeling and optimization algorithms ## Performance Tips 1. Faster Runs: Set includePlayerData to false if you only need contest information 2. Limit Contests: Reduce maxContests for quicker execution during testing 3. Schedule Runs: Use Apify's scheduling feature for regular data updates 4. Proxy Rotation: The Actor automatically uses Apify's proxy rotation to avoid rate limiting ## Local Development ### Prerequisites - Node.js 20.0.0 or higher - Apify CLI ### Installation bash # Install dependencies npm install # Run locally apify run # Login to Apify apify login # Deploy to Apify platform apify push ### Project Structure draft_kings_mcp/ ├── .actor/ │ ├── actor.json # Actor configuration │ ├── input_schema.json # Input parameters schema │ ├── output_schema.json # Output schema definition │ └── dataset_schema.json # Dataset views configuration ├── src/ │ └── main.js # Main Actor code ├── storage/ # Local storage for development ├── Dockerfile # Container configuration ├── package.json # NPM dependencies ├── AGENTS.md # AI agent instructions └── README.md # This file ## Technical Details - Runtime: Node.js 22 - Framework: Apify SDK 3.5.x, Crawlee 3.15.x - HTTP Client: got-scraping (with anti-blocking features) - Data Storage: Apify Dataset (JSON) ## API Integration After deployment, you can integrate the Actor into your applications using the Apify API: javascript const { ApifyClient } = require('apify-client'); const client = new ApifyClient({ token: 'YOUR_API_TOKEN', }); // Start Actor run const run = await client.actor('SYNTELLECT_AI/draftkings-api-actor').call({ sport: 'NFL', maxContests: 50, includePlayerData: true, }); // Fetch results const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ## Rate Limiting & Best Practices - The Actor respects DraftKings' terms of service - Uses proxy rotation to avoid IP blocking - Implements error handling and retry logic - Recommended: Run during off-peak hours for better reliability ## Troubleshooting ### No contests found - Verify the sport code is correct - Check if there are active contests for the selected sport - Some sports may have limited availability depending on season ### Player data missing - Ensure includePlayerData is set to true - Some draft groups may not have player data available yet ### Timeout errors - Reduce maxContests value - Check your Apify account compute unit availability ## Support For issues or questions: 1. Check the Apify Documentation 2. Review the Actor logs in Apify Console 3. Open an issue on the project repository ## License ISC ## Author SYNTELLECT_AI --- Note: This Actor is for educational and research purposes. Always review and comply with DraftKings' Terms of Service and robots.txt when using this tool.