Filter & summarize AI news from TechCrunch to Slack using OpenAI
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs on a schedule (every day at 08:00). Along the way it connects OpenAI Chat Model and Slack. It also calls api.firecrawl.dev over HTTP.
How it runs
Trigger: On a schedule (every day at 08:00).
- Crawl TechCrunch (FireCrawl) (HTTP Request): calls api.firecrawl.dev (POST)
- Wait: waits 60 seconds
- Receive Firecrawl Results (HTTP Request): calls an HTTP API
- Split Output (Code): runs custom JavaScript code
- Summarizer Agent (AI Agent): runs an AI agent, with model: OpenAI Summarizer
- Filter Messages (Code): runs custom JavaScript code
- Send Summary to Slack (Slack): uses Slack
Services it uses
HTTP calls to: api.firecrawl.dev
Uses Firecrawl. New users get 10% off with our link.
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Summarizer Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Summarizer Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Slack
n8n-nodes-base.slack - Wait
n8n-nodes-base.wait - Code
n8n-nodes-base.code
From the author
This n8n workflow automatically scrapes TechCrunch articles, filters for AI-related content using OpenAI, and delivers curated summaries to your Slack channels. Perfect for individuals or teams who need to stay current on artificial intelligence developments…