I need a ready-to-use database that maps Amazon’s category (browse-node) IDs to their full path names. The focus is on five parent groups—Electronics, Software, Health & Beauty, Apparel & Accessories, and Home & Garden—and I’m aiming for a minimum of 5,000 unique IDs spread across them. Speed matters: an existing, well-maintained dataset is strongly preferred, but I’m open to a fresh scrape or custom build if you can still hit a quick turnaround. Deliverables • Structured file (CSV or JSON) containing: Category Path, Node ID, and Parent ID where applicable • At least 5,000 valid, non-duplicate IDs that sit under the five target groups Acceptance criteria • Every subcategory I provide appears in the file with the correct node ID • Random spot-checks against amazon.com confirm accuracy for at least 95 % of IDs • Delivery within the mutually agreed timeline If you already own or license a reliable third-party database, let me know its scope and freshness; otherwise, outline your plan for collecting the data (API, web scraping, etc.) and an estimated completion date.