Draft Kings scraper — DraftKings | Lagic

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Overview

Get DraftKings contest details, including entry fees, total prizes, and current entries, alongside player salaries and positions for multiple sports. This data helps refine daily fantasy sports (DFS) strategies and research.

Daily Fantasy Sports (DFS) platforms like DraftKings require deep insight into contest dynamics and player valuations for competitive play and analysis. This tool provides structured data directly from DraftKings, focusing on both contest information and detailed player statistics. ### What Data You Get For each contest, you'll receive key details such as the unique **Contest ID**, the **Contest Name**, the associated **Competition**, and the **Sport** it covers. Important financial aspects like the **Entry Fee** and **Total Prize Pool** are included, along with participation metrics like **Current Entries** and **Maximum Entries**. You'll also see the **Start Time** of the contest and a timestamp for when the data was collected. If you choose to include player data, the tool expands its output significantly. For each player within a draft group, you'll get their unique **Player ID**, **Player Name** (first and last), **Position**, **Team Abbreviation**, and their **Salary** for that contest. This also includes their current **Status** (e.g., active, injured) and whether they are `draftable` in the contest. ### How to Use the Data This data is invaluable for anyone looking to gain an edge in Daily Fantasy Sports. Individual players can use it to identify undervalued players, analyze competitor lineup construction, and track salary changes over time. Content creators and analysts can use the extracted information to power data-driven articles, generate projections, and develop sophisticated lineup optimization models. Businesses in the sports analytics space can monitor market trends, understand contest popularity, and benchmark player pricing across different sports and competitions. The ability to specify a maximum number of contests and toggle player data inclusion allows for flexible data collection, balancing detail with execution speed.