My small real-estate analytics app on GitHub has started misbehaving after the latest Zillow API changes, and I need a fresh pair of Python-savvy eyes to put it back on track. The core problems I can see right now are: • Data is either missing or coming back with obviously wrong values, and at times the API connection drops entirely. • The subscription logic has drifted—current plans no longer line up with what Stripe is charging, so new users are blocked from upgrading. Most of the Zillow integration lives in the property-listing views and, I suspect, some of the analytics pages. You’ll need to trace those listing data, diagnose where the responses diverge from spec, and patch the parsing or request logic accordingly. Once the data flow is stable again, I’d like to redesign the subscription tiers, swap a few features between plans, and bolt on a simple incentive mechanism (e.g., extra report credits for referrals). Key deliverables • Restored, sustainable, reliable data fetching from Zillow (no incorrect values, no silent failures). • Clean, commented fixes committed via pull request so I can follow along. • Updated subscription plan definitions and working upgrade/downgrade paths. • New incentive logic live in production and reflected in the UI. • A short README update summarising what changed and any new environment variables. Everything is version-controlled on GitHub, deployment is probably via Heroku(not too sure), and the stack is plain Python with Flask, SQLAlchemy, and Stripe. If that sounds like your wheelhouse, let’s get this platform humming again.