Industry Sources & Documentation Scraper | 16 Pre-Configured Sites + AI Analysis
Automatically crawl 16 trusted industry websites daily, extract relevant articles, analyze for opportunities, and build a comprehensive searchable knowledge base
🎯 What This Workflow Does
Visits 16 pre-configured industry sources (legal databases, news publications, government sites, technical documentation, consumer resources), extracts up to 20 relevant article links per source using keyword filtering, fetches full article content, parses and cleans HTML using Cheerio, calculates relevance scores with term frequency analysis, stores high-quality content in a knowledge base, optionally analyzes for marketing opportunities, and extracts technical codes from documentation.
✨ Key Features
16 Pre-Configured Sources: Legal (Justia, CourtListener, Casetext), News (Insurance Journal, P&C360, Claims Journal, Carrier Management), Government (FEMA, NAIC, III), Technical (Xactware, Symbility), Consumer (Nolo, Consumer Reports), Professional (PLRB, NAPIA)
Intelligent Link Extraction: Keyword filtering finds relevant articles (claim, damage, insurance, adjuster, etc.)
Advanced Content Parsing: Cheerio-based extraction removes ads, navigation, extracts metadata (author, date, categories)
Relevance Scoring: Tracks 16 insurance terms with frequency analysis, normalizes to 0-1 score
Multi-Path Processing: Knowledge base storage + marketing opportunity analysis + technical code extraction
Rate Limited: 5-second delays for responsible, sustainable scraping
Automated Daily: Runs at 3 AM off-peak hours
📚 Perfect For
Knowledge base building, competitive intelligence, legal research, market monitoring, trend analysis, content curation, technical documentation aggregation, industry surveillance
🚀 Setup Requirements
n8n instance
Database (Supabase/PostgreSQL/MySQL)
Optional: AI API for marketing analysis (Claude/GPT-4)
Optional: Technical code extraction endpoint
Cheerio library (included in n8n)
🔧 What's Included
Complete workflow JSON
10 detailed sticky notes with explanations
16 pre-configured industry sources
Intelligent keyword filtering logic
Content parsing and cleaning algorithms
Relevance scoring methodology
Database schema examples
Setup and customization guide
🎨 Customization Options
Add/remove industry sources
Modify keyword filters for your industry
Adjust relevance threshold (default: 0.3)
Change scrape depth per source (1-3 levels)
Enable/disable marketing analysis path
Enable/disable technical code extraction
Adjust rate limiting delays
Modify schedule frequency
🔍 How It Works
Daily at 3 AM, fetch 16 industry source pages
Extract article links using keyword filtering (9 keywords: claim, damage, insurance, etc.)
Limit to top 20 relevant links per source (~320 total articles)
Fetch each article HTML with 20-second timeout
Parse content using Cheerio, remove unwanted elements
Extract title, author, date, categories, and clean text (up to 15,000 chars)
Calculate relevance score by counting 16 insurance terms
Filter content (≥30% relevance = ~200-250 articles pass)
Store in knowledge base with full metadata
Optionally analyze for marketing opportunities and create campaigns
Detect and extract technical codes (Xactimate, Symbility patterns)
📊 Expected Performance
Per Run: 16 sources, ~320 links found, ~200-250 articles stored
Processing Time: ~25-30 minutes with rate limiting
Daily Output: 200-250 quality articles added to knowledge base
Monthly Growth: 6,000-7,500 articles, ~750MB-1GB storage
Marketing Opportunities: ~30-40 identified per run
Technical Codes: ~10-20 extractions per run (if technical sources included)
💡 Key Advantages
Comprehensive Coverage: Legal + News + Government + Technical + Consumer sources
Quality Over Quantity: Smart filtering ensures relevant content only
Multi-Purpose: Knowledge base + Marketing intel + Technical reference
Sustainable: Rate limiting prevents blocking, runs indefinitely
Customizable: Easily adapt to any industry by changing sources and keywords
Actionable: Identifies marketing opportunities automatically
🏷️ Tags
web-scraping industry-monitoring knowledge-base cheerio content-aggregation competitive-intelligence legal-research market-research html-parsing ai-content-analysis automated-research technical-documentation
Version: 2.0
Difficulty: Intermediate
Setup Time: 30-45 minutes
Requires: Database, Optional AI API
Pro Tips:
Start with 3-5 news sources to test before running all 16
Monitor which sources provide highest quality content
Adjust relevance threshold based on your content needs
Add your own industry-specific sources
Remove marketing analysis path if not needed
Consider increasing rate limit to 10 seconds for extra caution
Review stored content weekly to optimize keyword filters