Block 1 - Sticky Note - Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Automatically collect, analyze, and store industry news articles with intelligent filtering and dual database storage What This Workflow Does This comprehensive news scraping automation monitors...
n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.function, n8n-nodes-base.if, n8n-nodes-base.rssfeedread, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Shelly-Ann Davy.
Original n8n.io sourceAutomatically collect, analyze, and store industry news articles with intelligent filtering and dual-database storage
đŻ What This Workflow Does
This comprehensive news scraping automation monitors multiple industry sources every 6 hours, intelligently extracts relevant content, analyzes it for keyword relevance, and stores high-quality articles in both a content library and knowledge base. Perfect for content marketers, researchers, industry analysts, and anyone building an AI-powered knowledge system.
⨠Key Features
Multi-Source Aggregation: Collects from RSS feeds, Google News, and direct website scraping Smart Content Extraction: Uses Cheerio to parse HTML and extract clean article content AI-Ready Keyword Analysis: Automatically identifies and tags industry-specific terms Intelligent Filtering: Only stores articles meeting your relevance threshold (default: 30%) Dual Storage System: Saves to both content library (marketing) and knowledge base (AI training) Rate Limiting: Includes polite delays to respect website resources Fully Automated: Runs on schedule without manual intervention
đ§ Technical Highlights
Schedule-based trigger (every 6 hours, customizable) Handles 3 content types: RSS feeds, Google News RSS, and web pages Limits to top 10 articles per source to manage volume Tracks 17+ insurance-specific keywords (easily customizable for any industry) Includes comprehensive error handling and timeout management Supabase integration (works with any REST API database)
đ Perfect For
Building AI chatbot knowledge bases Content marketing research Competitive intelligence gathering Industry trend monitoring News aggregation platforms SEO content research Market analysis and reporting
đ Setup Requirements
n8n instance (self-hosted or cloud) Supabase account (free tier works) or any REST API database Basic understanding of JSON and HTTP requests All setup instructions included in sticky notes within the workflow!
đŚ What's Included
Complete workflow JSON (ready to import) 8 detailed sticky notes with beginner-friendly explanations Setup guide with step-by-step instructions Customization tips for different industries Example sources for insurance industry (easily adaptable)
đ¨ Customization Options
Modify schedule interval (hourly, daily, weekly) Add your own RSS feeds and websites Adjust relevance threshold Customize keyword lists for your industry Change article limits per source Modify storage destinations
â ď¸ Important Notes
Remember to update Supabase credentials before running Test with a single source before deploying all sources Respect website terms of service and robots.txt Consider API rate limits for your sources The workflow includes rate limiting to be respectful to websites
đˇď¸ Tags content-scraping rss-feeds web-scraping automation knowledge-base supabase cheerio news-aggregation content-marketing ai-training-data
Version: 2.0 Last Updated: January 2025 Difficulty: Intermediate Estimated Setup Time: 30 minutes
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Insurance news aggregation keyword analysis & database storage via Supabase |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Market Research, AI RAG |
| Author | Shelly-Ann Davy |
| Published | 12 Oct 2025 |
Use the JSON export at /data/workflows/9507/9507.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Automatically collect, analyze, and store industry news articles with intelligent filtering and dual database storage What This Workflow Does This comprehensive news scraping automation monitors...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI RAG use case.