I’m building a hands-off Pinterest engine and I want an n8n expert to wire everything together. The goal is a set of reliable, documented workflows that: • Schedule and publish image Pins from a drive or URL feed at the intervals I set, tagging boards and keywords automatically. • Scrape fresh data on Pins, Boards and User profiles, then push it into a Google Sheet or a Postgres table (open to whichever you recommend) for later analysis. • Run smart user-interaction rules—auto-follow, like and comment—based on hashtags, board topics or competitor accounts, with throttle settings that keep the account safe. You’ll start by mapping the steps inside n8n, connect to the Pinterest API (or headless browser if you have a proven workaround), test each flow end-to-end and leave me with: 1. Reusable n8n workflow files (.json) 2. A short README explaining env variables, API keys, and how to adjust timing limits 3. A quick loom or text walkthrough so I can re-import and extend the setup later Everything should run unattended on my existing n8n instance (self-hosted) and be easy to tweak. If you’ve tackled Pinterest automations before, especially around scraping rate limits or action blocks, tell me in your proposal—speed to completion matters.