Daily App Price Scraping Solution

I need an automated way to pull two very specific data points—product titles and prices—from a competitor’s mobile app that is available on both iOS and Android. The scraper must run once every 24 hours, store the fresh data in a structured format, and immediately compare it against our internal price list so we can see how we stack up at a glance.

I’m comfortable with whichever technical route proves most reliable: calling the underlying APIs, instrumenting an emulator, or another proven approach that can navigate login screens, headers, or rate-limits without getting blocked. What matters is that the process is hands-free after deployment, resilient to UI or version changes, and produces clean, ready-to-query output.

Deliverables
• Well-commented source code or scripts
• Clear deployment guide (Docker image, serverless function, or similar)
• Daily merged dataset showing competitor vs. our prices
• Basic alert or report mechanism that flags price differences beyond a configurable threshold

Python, Node, or any language you prefer is fine as long as setup is straightforward. Please let me know how you plan to tackle iOS and Android simultaneously, what libraries or tools you’ll rely on, and an estimated turnaround for an MVP.