Four ready-to-import workflows for jobs people usually babysit by hand. Each one calls a hosted scraper over plain HTTP — no community nodes, works on n8n Cloud and self-hosted. In n8n: Workflow → Import from URL, paste the link, connect two credentials, run.
Every Monday: both stores' new reviews for your app, one email — counts, average rating per store, and the negative reviews that need a reply, quoted with author and version.
https://inmanjeffrey89-cell.github.io/data-tools/workflows/t1-app-review-digest.json
Paste a channel URL, get one row per video — title, URL, language, word count, full transcript. The back catalog becomes a knowledge base you can search, embed, or feed to AI.
https://inmanjeffrey89-cell.github.io/data-tools/workflows/t2-channel-transcripts-sheets.json
Seed keywords in, hundreds of real typed-by-humans phrases out, one row per idea — ready for clustering, briefs, or Ads planning.
https://inmanjeffrey89-cell.github.io/data-tools/workflows/t3-keyword-research-sheets.json
Drop in a video URL; get a TL;DR, five timestamped key points, notable quotes, and a who-should-watch verdict in your inbox. Transcript fetching prefers human captions over auto-generated.
https://inmanjeffrey89-cell.github.io/data-tools/workflows/t4-youtube-ai-summary-gmail.json
Authorization, Value: Bearer YOUR_APIFY_TOKEN — and select it on the HTTP node(s).Each workflow documents itself — the sticky notes inside carry the full description, costs, and setup. MIT-licensed like everything else here. Built by an indie dev; issues → GitHub.