Skip to main content

Insurance news aggregation keyword analysis & database storage via Supabase

Workflow preview

Workflow preview
100%
Insurance news aggregation keyword analysis & database storage via Supabase preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Market Research automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

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

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Shelly-Ann Davy.

Original n8n.io source

1.1 Workflow description

Title
Insurance news aggregation keyword analysis & database storage via Supabase
Workflow name
Insurance news aggregation keyword analysis & database storage via Supabase

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 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

🔧 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)

📚 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

🚀 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!

📦 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)

🎨 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

⚠️ 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

🏷️ 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

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Sticky Note - Overview

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Schedule Every 6 Hours

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1

Block 3 - Get News Sources

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 4 - Is RSS Feed?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 1

Block 5 - Fetch RSS Feed

Type / Role
n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices
Version 1

Block 6 - Fetch Google News RSS

Type / Role
n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices
Version 1

Block 7 - Scrape Web Page

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 3

Block 8 - Parse Articles

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 9 - Fetch Full Article

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 3

Block 10 - Rate Limit Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1

Block 11 - Extract Content & Keywords

Type / Role
n8n-nodes-base.code - code
Config choices
Version 1

Block 12 - Is Relevant?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 1

Block 13 - Store in Content Library

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 3

Block 14 - Store in Knowledge Base

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 3

Block 15 - Error Handler

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 16 - Sticky Note - Setup

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

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

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9507/9507.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Insurance news aggregation keyword analysis & database storage via Supabase do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.