I’m setting up an entirely backend-only image-audit engine for Amazon listings and I need a production-ready n8n workflow that I can drop straight into my self-hosted instance. Scope • The flow starts by calling the Rainforest API (no browser scraping) to pull images for my ASINs as well as key competitors’ listings. • Every image must then be programmatically scored for three things: overall quality, compliance with Amazon’s image guidelines, and a side-by-side comparison against competitor imagery. • If any image fails one or more checks, the flow sends me a concise email alert and continues processing the rest of the queue—no Slack, SMS, or other channels needed. • The final output of each run must be a strictly-structured JSON payload so it can feed downstream automations. Key Requirements 1. Clean, modular nodes—no hard-coded secrets; environment variables only. 2. Full error handling, retry logic, and logging using native n8n features. 3. Clear comments or notes explaining each step so I can extend the logic later. 4. Importable .json file (or collection) that recreates the entire workflow in one click. Acceptance Criteria • I import the file, set Rainforest credentials, and the flow executes successfully. • Failed images trigger a single email summarising ASIN, failure reason, and direct image URL. • The resulting JSON matches the schema I provide and contains all quality, compliance, and competitor comparison scores. If you have proven experience building non-trivial n8n flows, I’d love to see this polished and ready to ship.