AWS News Monitoring & LinkedIn Content Automation with Claude 3 & Feishu

Description

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 want to stay current with AWS developments
Content creators** looking to automate their AWS news coverage
Marketing teams** needing consistent, professional AWS content
Technical leaders** who want to share industry insights on LinkedIn
AWS consultants** building thought leadership through automated content

How it works

This workflow creates a comprehensive AWS news analysis and content generation pipeline with two main flows:

Flow 1: News Collection and Analysis
Scheduled RSS Monitoring: Automatically fetches latest AWS news from the official AWS RSS feed daily at 8 PM
AI-Powered Analysis: Uses AWS Bedrock (Claude 3 Sonnet) to analyze each news item, extracting:
Professional summary
Key themes and keywords
Importance rating (Low/Medium/High)
Business impact assessment
Structured Data Storage: Saves analyzed news to Feishu Bitable with approval status tracking

Flow 2: LinkedIn Content Generation
Manual Approval Trigger: Feishu automation sends approved news items to the webhook
AI Content Creation: AWS Bedrock generates professional LinkedIn posts with:
Attention-grabbing headlines
Technical insights from a Solutions Architect perspective
Business impact analysis
Call-to-action engagement
Automated Publishing: Posts directly to LinkedIn with relevant hashtags

How to set up

Prerequisites
AWS Bedrock access** with Claude 3 Sonnet model enabled
Feishu account** with Bitable access
LinkedIn company account** with posting permissions
n8n instance** (self-hosted or cloud)

Detailed Configuration Steps

1. AWS Bedrock Setup

Step 1: Enable Claude 3 Sonnet Model
Log into your AWS Console
Navigate to AWS Bedrock
Go to Model access in the left sidebar
Find Anthropic Claude 3 Sonnet and click Request model access
Fill out the access request form (usually approved within minutes)
Once approved, verify the model appears in your Model access list

Step 2: Create IAM User and Credentials
Go to IAM Console
Click Users → Create user
Name: n8n-bedrock-user
Attach policy: AmazonBedrockFullAccess (or create custom policy with minimal permissions)
Go to Security credentials tab → Create access key
Choose Application running outside AWS
Download the credentials CSV file

Step 3: Configure in n8n
In n8n, go to Credentials → Add credential
Select AWS credential type
Enter your Access Key ID and Secret Access Key
Set Region to your preferred AWS region (e.g., us-east-1)
Test the connection

Useful Links:
AWS Bedrock Documentation
Claude 3 Sonnet Model Access
AWS Bedrock Pricing

2. Feishu Bitable Configuration

Step 1: Create Feishu Account and App
Sign up at Feishu International
Create a new Bitable (multi-dimensional table)
Go to Developer Console → Create App
Enable Bitable permissions in your app
Generate App Token and App Secret

Step 2: Create Bitable Structure
Create a new Bitable with these columns:
title (Text)
pubDate (Date)
summary (Long Text)
keywords (Multi-select)
rating (Single Select: Low, Medium, High)
link (URL)
approval_status (Single Select: Pending, Approved, Rejected)

Get your App Token and Table ID:
App Token: Found in app settings
Table ID: Found in the Bitable URL (tbl...)

Step 3: Set Up Automation
In your Bitable, go to Automation → Create automation
Trigger: When field value changes → Select approval_status field
Condition: approval_status equals "Approved"
Action: Send HTTP request
Method: POST
URL: Your n8n webhook URL (from Flow 2)
Headers: Content-Type: application/json
Body: {{record}}

Step 4: Configure Feishu Credentials in n8n
Install Feishu Lite community node (self-hosted only)
Add Feishu credential with your App Token and App Secret
Test the connection

Useful Links:
Feishu Developer Documentation
Bitable API Reference
Feishu Automation Guide

3. LinkedIn Company Account Setup

Step 1: Create LinkedIn App
Go to LinkedIn Developer Portal
Click Create App
Fill in app details:
App name: AWS News Automation
LinkedIn Page: Select your company page
App logo: Upload your logo
Legal agreement: Accept terms

Step 2: Configure OAuth2 Settings
In your app, go to Auth tab
Add redirect URL: https://your-n8n-instance.com/rest/oauth2-credential/callback
Request these scopes:
w_member_social (Post on behalf of members)
r_liteprofile (Read basic profile)
r_emailaddress (Read email address)

Step 3: Get Company Page Access
Go to your LinkedIn Company Page
Navigate to Admin tools → Manage admins
Ensure you have Content admin or Super admin role
Note your Company Page ID (found in page URL)

Step 4: Configure LinkedIn Credentials in n8n
Add LinkedIn OAuth2 credential
Enter your Client ID and Client Secret
Complete OAuth2 flow by clicking Connect my account
Select your company page for posting

Useful Links:
LinkedIn Developer Portal
LinkedIn API Documentation
LinkedIn OAuth2 Guide

4. Workflow Activation

Final Setup Steps:
Import the workflow JSON into n8n
Configure all credential connections:
AWS Bedrock credentials
Feishu credentials
LinkedIn OAuth2 credentials
Update webhook URL in Feishu automation to match your n8n instance
Activate the scheduled trigger (daily at 8 PM)
Test with manual webhook trigger using sample data
Verify Feishu Bitable receives data
Test approval workflow and LinkedIn posting

Requirements

Service Requirements
AWS Bedrock** with Claude 3 Sonnet model access
AWS account with Bedrock service enabled
IAM user with Bedrock permissions
Model access approval for Claude 3 Sonnet
Feishu Bitable** for news storage and approval workflow
Feishu account (International or Lark)
Developer app with Bitable permissions
Automation capabilities for webhook triggers
LinkedIn Company Account** for automated posting
LinkedIn company page with admin access
LinkedIn Developer app with posting permissions
OAuth2 authentication setup
n8n community nodes**: Feishu Lite node (self-hosted only)

Technical Requirements
n8n instance** (self-hosted recommended for community nodes)
Webhook endpoint** accessible from Feishu automation
Internet connectivity** for API calls and RSS feeds
Storage space** for workflow execution logs

Cost Considerations
AWS Bedrock**: ~$0.01-0.05 per news analysis
Feishu**: Free tier available, paid plans for advanced features
LinkedIn**: Free API access with rate limits
n8n**: Self-hosted (free) or cloud subscription

How to customize the workflow

Content Customization
Modify AI prompts** in the AI Agent nodes to change tone, focus, or target audience
Adjust hashtags** in the LinkedIn posting node for different industries
Change scheduling** frequency by modifying the Schedule Trigger settings

Integration Options
Replace LinkedIn** with Twitter/X, Facebook, or other social platforms
Add Slack notifications** for approved content before posting
Integrate with CRM** systems to track content performance
Add content calendar** integration for better planning

Advanced Features
Multi-language support** by modifying AI prompts for different regions
Content categorization** by adding tags for different AWS services
Performance tracking** by integrating analytics platforms
Team collaboration** by adding approval workflows with multiple reviewers

Technical Modifications
Change RSS sources** to monitor other AWS blogs or competitor news
Adjust AI models** to use different Bedrock models or external APIs
Add data validation** nodes for better error handling
Implement retry logic** for failed API calls

Important Notes

Service Limitations
This template uses community nodes (Feishu Lite) and requires self-hosted n8n
Geo-restrictions** may apply to AWS Bedrock models in certain regions
Rate limits** may affect high-frequency posting - adjust scheduling accordingly
Content moderation** is recommended before automated posting
Cost considerations**: Each AI analysis costs approximately $0.01-0.05 USD per news item

Troubleshooting Common Issues

AWS Bedrock Issues:
Model not found**: Ensure Claude 3 Sonnet access is approved in your region
Access denied**: Verify IAM permissions include Bedrock service access
Rate limiting**: Implement retry logic or reduce analysis frequency

Feishu Integration Issues:
Authentication failed**: Check App Token and App Secret are correct
Table not found**: Verify Table ID matches your Bitable URL
Automation not triggering**: Ensure webhook URL is accessible and returns 200 status

LinkedIn Posting Issues:
OAuth2 errors**: Re-authenticate LinkedIn credentials
Posting failed**: Verify company page admin permissions
Rate limits**: LinkedIn has daily posting limits for company pages

Security Best Practices
Never hardcode credentials** in workflow nodes
Use environment variables** for sensitive configuration
Regularly rotate API keys** and access tokens
Monitor API usage** to prevent unexpected charges
Implement error handling** for failed API calls