N8n community node for Compliance-Grade Web Intelligence - The scraper AI agents trust. Extract grounded facts with citations for RAG, LangChain, and compliance audits.
npm install n8n-nodes-compliance-web-intel
> The scraper AI agents trust. n8n community node for Compliance-Grade Web Intelligence.
Extract grounded facts with source citations, entities, claims, and RAG-ready chunks. Built for LangChain, LlamaIndex, AutoGPT, and compliance audits.
This node generates audit-ready output for AI compliance requirements effective June 30, 2026:
- Source documentation with sourceBlockId and exactQuote
- Auto-generated citations (APA, MLA, Chicago)
- Full provenance tracking with timestamps and hashes
- 7 Task Modes - Optimized presets for different use cases
- Grounded Extraction - Facts with exact quotes and source references
- RAG-Ready Chunks - 500-900 tokens with semantic boundaries
- Entity Detection - People, organizations, money, dates, contact info
- Claim Analysis - Marketing claims, guarantees, compliance statements
- Quality Scoring - 0-100 score with completeness and confidence metrics
- Auto-Citations - APA, MLA, Chicago, inline, and markdown formats
- Change Monitoring - Detect material changes with diff baselines
1. Go to Settings → Community Nodes
2. Click Install a community node
3. Enter: n8n-nodes-compliance-web-intel
4. Click Install
``bash`
npm install n8n-nodes-compliance-web-intel
You need an Apify API token to use this node:
1. Sign up at apify.com
2. Go to Account → Integrations → API tokens
3. Create a new token
4. Add the token to n8n credentials
| Mode | Description | Best For |
|------|-------------|----------|
| general | Balanced extraction | Any website |competitor_teardown
| | Positioning, pricing, features | Competitive analysis |compliance_discovery
| | Policies, legal terms, privacy | Compliance audits |sales_research
| | Contacts, pricing, company info | Account research |local_seo_audit
| | NAP, reviews, schema.org | Local business SEO |docs_extraction
| | Documentation to JSON specs | API/product docs |pricing_intelligence
| | Pricing tiers and features | Market research |
| Mode | Returns | Use Case |
|------|---------|----------|
| full | Complete Reasoning Pack | Full analysis |chunks
| | RAG-ready text chunks | Vector databases |summary
| | Agent-ready summary | Quick briefs |entities
| | Extracted entities | Data enrichment |claims
| | Marketing claims | Competitive intel |
`
[Compliance Web Intel] → [Pinecone/Weaviate] → [LangChain Agent]
↓ chunks mode
Returns individual chunks with metadata ready for embedding
`
[Schedule Trigger] → [Compliance Web Intel] → [IF Changed] → [Slack]
↓ competitor_teardown
Compare with diffBaseline from previous run
`
[HTTP Request (leads)] → [Compliance Web Intel] → [Google Sheets]
↓ sales_research
Extract contacts, pricing, company info
`json``
{
"url": "https://example.com/pricing",
"domain": "example.com",
"taskMode": "pricing_intelligence",
"content": {
"markdown": "...",
"title": "Pricing - Example",
"blocks": [...]
},
"extraction": {
"facts": [{
"statement": "Enterprise plan starts at $99/month",
"sourceBlockId": "blk_5_abc",
"exactQuote": "Our Enterprise plan, starting at just $99/month...",
"confidence": 0.92
}],
"entities": [...],
"claims": [...],
"pricing": [...]
},
"quality": {
"overallScore": 88,
"completeness": 95,
"confidence": 82
},
"summary": {
"oneLiner": "SaaS pricing page with 3 tiers from $29-$299/month",
"keyFacts": [...],
"recommendedActions": [...]
},
"citation": {
"apa": "Example. (2026). Pricing - Example. Retrieved...",
"mla": "...",
"inline": "Pricing - Example (accessed 2026-01-28)"
},
"chunks": [{
"id": "chunk_001",
"text": "...",
"tokenCount": 687,
"metadata": {...}
}]
}
This node uses the Compliance Web Intel Apify Actor:
- Actor Start: $0.001 per run
- Per Result: $0.002 per page (~$2 per 1,000 pages)
- Apify Actor Documentation
- n8n Community Nodes Documentation
- Colorado SB 25B-004
MIT
AI Solutionist - jason@jasonpellerin.com
Built with the HYPERCOGNATE methodology 🦉