LinkedIn Lead Scoring n8n Workflow: Periodix + Claude + Sheets

Find LinkedIn engagers in your niche, score them with AI, and draft personalized connection notes automatically

This LinkedIn Lead Scoring n8n Workflow uses Periodix + Claude + Google Sheets to identify people who like and comment on posts in your niche—then scores them against your ICP and drafts a tailored connection message referencing the exact post they engaged with.

What this workflow does

• Runs daily and loads your topic keywords, ICP keywords + description, your offer, a scoring threshold, and result limits from a single config step.
• Uses Periodix Actions to search LinkedIn for posts matching your topic (no post URL needed).
• For each matched post, fetches the list of reactors and commenters via Periodix Actions.
• Normalizes, merges, and deduplicates engagers across all posts.
• Pre-filters by ICP keywords before any AI call, so you don’t pay to score people who can’t qualify.
• Scores remaining engagers 1–10 with AI (Claude) against your ICP. If they meet or exceed your threshold, it drafts a personalized connection note referencing the post they engaged with.
• Logs results to Google Sheets: qualified leads (score, reason, and ready-to-send note) in the Hot tab; everyone else (score and reason) in the Cold tab for later ICP refinement.

Use cases

• SaaS operators who want daily inbound-style lead sourcing from LinkedIn activity, not cold outreach.
• Automation engineers building a repeatable AI lead scoring pipeline in n8n.
• Teams refining ICPs over time by reviewing “Cold” reasons in Google Sheets.

Technical details

• Periodix Actions (actions.periodix.net) for LinkedIn post search and engager retrieval.
• Claude for ICP scoring (1–10) and personalized connection note drafting.
• Google Sheets for Hot/Cold lead logging.
• n8n nodes referenced in the workflow: if, set, code, no op, merge, sticky note.