I need an end-to-end API that can pull three distinct data streams from Evolution Gaming in near real-time: player statistics, game results, and the associated live video streams. The service should expose clean, well-documented REST (or GraphQL) endpoints so I can plug the data straight into my internal dashboards and predictive models without extra parsing. A few key points about the build: • Data scope: player stats, round-by-round results, and a direct link or capture of the live feed for each table I specify. • Frequency: sub-minute refresh for stats and results; live video must remain continuously accessible while a table is active. • Output format: JSON for the numerical data, HLS/RTMP—or a similarly robust solution—for the video. • Authentication: simple token-based header is fine; I just need control over key rotation. • Deployment: a lightweight container (Docker) I can drop onto an Ubuntu server. • Language: I’m flexible—Python, Node.js, or Java all work—so pick the stack that lets you handle session cookies, websockets, and potential anti-bot measures reliably. • Documentation: endpoint specs, environment variables, and a quick-start script are essential so I can reproduce the setup locally or in staging. Acceptance will be based on: 1. Demonstrated capture of live Evolution Gaming traffic for at least two tables. 2. Consistent return of accurate stats and results across a 24-hour test window. 3. Smooth video playback through the provided URLs with no visible latency spikes. 4. Clear README plus inline comments that cover setup, usage, and troubleshooting. Timing is important—I’d like to have the finished, tested API in hand within a month. Let me know your proposed approach, any relevant scraping or streaming libraries you plan to leverage, and how you’ll address rate limits or site defenses.