Scrape industry growth signals with BrowserAct, OpenRouter, and Slack reports
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs on a schedule (every month). Along the way it connects OpenRouter Chat Model, Slack and Browseract (community).
How it runs
Trigger: On a schedule (every month).
- Set Target Industry (Edit Fields (Set)): sets 1 field: Target_Industry
- Perform web data extraction (Browser Act): uses Browser Act
- Analyze the leads and generate Slack report (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Structured Output Parser
- Split Out: splits a list into separate items
- Send the report to the channel (Slack): uses Slack
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-browseract is verified or supports 3.0 (used in Perform web data extraction).
Nodes used (8)
- OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Split Out
n8n-nodes-base.splitOut - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Browser Act
n8n-nodes-browseract.browserAct - Slack
n8n-nodes-base.slack - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Scrape industry growth signals from BrowserAct to Slack reports Introduction This workflow automates the monitoring of market growth signals, such as funding rounds, for specific target industries. It scrapes data using BrowserAct, uses AI to filter and…