An r/n8n post showed a lead qualifier where the scoring prompt is 12 lines and that is the whole product. This tutorial replicates it: webhook → enrich with search API → LLM score → route to CRM.
Prerequisites
- n8n instance (cloud or self-hosted)
- Scavio API key
- LLM API key
Walkthrough
Step 1: Create webhook trigger
n8n webhook node receives lead data (company name, domain, industry).
JSON
// n8n Webhook node
// Method: POST
// Path: /qualify-lead
// Body: { company: 'Acme Corp', domain: 'acme.com', industry: 'SaaS' }Step 2: Enrich with Scavio
HTTP Request node calls Scavio to get company context.
JSON
// n8n HTTP Request node
// URL: https://api.scavio.dev/api/v1/search
// Method: POST
// Headers: x-api-key: {{$env.SCAVIO_API_KEY}}
// Body: { platform: 'google', query: '{{$json.company}} {{$json.industry}} reviews' }Step 3: Score with 12-line prompt
OpenAI/Anthropic node scores the lead 1-10.
Text
Score this lead 1-10 based on:
- Company has clear budget signals (job posts, funding)
- Industry matches our ICP
- Company size suggests decision-making speed
- Online presence indicates tech-savviness
- Reddit/forum mentions suggest active community
- Recent news suggests growth or pain
Company: {{company}}
Context: {{enrichment_data}}
Return only: {score: N, reason: 'one sentence'}Step 4: Route by score
Switch node routes: 8-10 → hot lead, 5-7 → nurture, 1-4 → archive.
Text
// n8n Switch node
// Condition 1: score >= 8 → Hot Leads (CRM)
// Condition 2: score >= 5 → Nurture (email sequence)
// Default: ArchiveStep 5: Push to CRM
HTTP Request or native integration to your CRM.
Text
// n8n HTTP Request to CRM API
// Or native HubSpot/Pipedrive/Salesforce nodePython Example
Python
# The n8n workflow is no-code. Python equivalent:
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def qualify_lead(company, industry):
context = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{company} {industry} reviews'}).json()
# LLM scores using the 12-line prompt
# Route based on scoreJavaScript Example
JavaScript
// n8n workflow is no-code. Same logic applies in JS.Expected Output
JSON
n8n workflow: webhook → Scavio enrich → LLM score (12-line prompt) → route to CRM. Total enrichment cost: ~$0.01/lead.