Reddit Buying-Intent Lead Scoring with n8n, OpenAI & Slack

Turn Reddit buying-intent into Slack “hot lead” alerts—automatically

This n8n workflow scans Reddit posts and comments every morning for buying-intent phrases, scores each lead from 0–100 using OpenAI, logs all scored results to Google Sheets, and sends only the hottest leads (at or above your minScore) to Slack.

What this workflow does

• Runs daily at 08:00 and pulls your configuration from Settings (your target product description and phrases to match—quotes mean exact match).
• Searches Reddit posts and comments for matches from the last day (across Reddit or limited to a specific subreddit).
• Normalizes the data using one shape for both posts and comments.
• Skips leads already scored to avoid duplicates from earlier runs, then “cleans up” and drops repeats.
• Uses OpenAI to score buying intent (0–100) and extracts the need and a suggested reply angle.
• Logs every scored item to a Google Sheet for full visibility.
• Sends only hot leads to Slack—items at or above minScore.

Use cases

• SaaS teams monitoring product-market pull: catch users actively discussing solutions in Reddit threads.
• Automation engineers: build a repeatable Reddit-to-Sales signal pipeline in n8n.
• Growth operators: use structured lead scoring (score, need, replyAngle) to improve outreach targeting.

Technical details

• Apify node (@apify/n8n-nodes-apify, verified) to fetch Reddit posts and comments.
• OpenAI for 0–100 buying-intent scoring plus extraction of need and replyAngle.
• Google Sheets logging (suggested columns: scoredAt, score, kind, subreddit, title, need, replyAngle, author, url, text).
• Slack integration to notify only leads meeting your threshold.
• Workflow logic uses nodes including if, set, code, filter, sticky note, and slack.