HGZY Game Metrics Scraping App

I want to turn raw activity from the HGZY mobile game into live performance-metric signals that I can consume on the web or in a lightweight dashboard. Because the publisher offers no public API or WebSocket, we will rely on intelligent scraping of the app itself to capture the game events and logs that drive those metrics.

Here is the flow I have in mind:

• A headless emulator or similar technique pulls the latest game events and logs from the HGZY app at short intervals.
• A custom backend stores, cleans, and aggregates that data into meaningful performance metrics (no price-picking or behavioural profiling is needed).
• A simple prediction or alert engine converts the aggregated metrics into real-time signals I can subscribe to—webhook, REST endpoint, or even Telegram, whichever is easiest to ship first.

To keep things maintainable I prefer mainstream tooling—Python with Playwright or Appium for the scraper, plus a small Flask/FastAPI or Node service for the backend—but I’m open if you have a battle-tested stack that fits better.

Deliverables
1. Working scraper that reliably captures HGZY game events and logs.
2. Backend service that exposes cleaned performance metrics in JSON.
3. Basic signal/prediction logic with a configurable threshold.
4. Setup script or Dockerfile, plus short README so I can redeploy it myself.

The project is self-contained; once I can see fresh metrics flowing and a sample alert firing, we are done. Let me know your proposed approach, timeframe, and any past scraping work that proves you can navigate an app without an official API.