Moderate Facebook comments with AI and send reports to Slack & Telegram
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: Cron. 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 9 nodes and runs on a schedule (legacy Cron node). Along the way it connects OpenAI, Supabase, Telegram and Slack.
How it runs
Trigger: On a schedule (legacy Cron node).
- Fetch Facebook Page Comments (HTTP Request): calls an HTTP API
- Prepare Comment Items for Processing (Code): runs custom JavaScript code
- AI-Based Comment Moderation (OpenAI): uses OpenAI
- Normalize AI Moderation Results (Code): runs custom JavaScript code
- Store Moderation Logs in Database (Supabase): uses Supabase
- Aggregate Moderation Statistics (Code): runs custom JavaScript code
- Send Moderation Reports to Team via Slack (Slack): uses Slack
- Send Moderation Reports to Telegarm (Telegram): uses Telegram
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- Cron in Scheduled Workflow Trigger: replace with Schedule Trigger.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| Cron Scheduled Workflow Trigger | Schedule Trigger |
Nodes used (7)
- Cron
n8n-nodes-base.cron - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - OpenAI
@n8n/n8n-nodes-langchain.openAi - Supabase
n8n-nodes-base.supabase - Telegram
n8n-nodes-base.telegram - Slack
n8n-nodes-base.slack
From the author
Facebook Page Comment Moderation Scoreboard → Team Report This workflow automatically monitors Facebook Page comments, analyzes them using AI for intent, toxicity & spam, stores moderation results in a database and sends a clear summary report to Slack and…