Aws news monitoring & LinkedIn content automation with Claude 3 & Feishu
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 12 nodes and runs on a schedule (every day at 20:00) (plus 1 other trigger). Along the way it connects LinkedIn, AWS Bedrock Chat Model and Feishu Lite (community).
How it runs
Trigger: On a schedule (every day at 20:00) (plus 1 other trigger).
- RSS Read: reads an RSS feed
- AI Agent: runs an AI agent, with model: AWS Bedrock Chat Model
- RSS Data Debugger (Code): runs custom JavaScript code
- Create a post (LinkedIn): uses LinkedIn
- AI Agent: runs an AI agent, with model: AWS Bedrock Chat Model; output parser: Structured Output Parser
- Data Cleaner (Code): runs custom JavaScript code
- Bitable: Add Record (Feishu Node): bitable:table:record:add
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-feishu-lite is verified or supports 3.0 (used in Bitable: Add Record).
Nodes used (9)
- LinkedIn
n8n-nodes-base.linkedIn - Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent - AWS Bedrock Chat Model
@n8n/n8n-nodes-langchain.lmChatAwsBedrock - Schedule Trigger
n8n-nodes-base.scheduleTrigger - RSS Read
n8n-nodes-base.rssFeedRead - Code
n8n-nodes-base.code - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Feishu Node
n8n-nodes-feishu-lite.feishuNode
From the author
AWS News Analysis and LinkedIn Automation Pipeline Transform AWS industry news into engaging LinkedIn content with AI-powered analysis and automated approval workflows. Who's it for This template is perfect for: - Cloud architects and DevOps engineers who…