An r/n8n post showed a lead qualifier where the scoring prompt is 12 lines — and that is the whole product. The search API enriches each lead before scoring. Five ranked for n8n lead-scoring workflows.
Scavio's HTTP-friendly REST API and multi-platform enrichment give n8n lead workflows the richest context per lead at $0.005/query.
Full Ranking
Scavio
Multi-platform lead enrichment in n8n
- Simple REST API works with n8n HTTP node
- Enrich leads across Google + Reddit + YouTube
- Low per-query cost for lead scoring
- No built-in lead database
Apollo
B2B lead enrichment with email/phone
- Email + phone enrichment
- Company data
- Chrome extension
- $49/mo floor
- Not a search API
Hunter.io
Email finding for scored leads
- Domain-to-email lookup
- Verification built-in
- Email only
- Low free tier
Serper
Google search enrichment at lowest cost
- Cheapest per-query
- n8n template available
- Google only
- No company/contact data
Tavily
Quick web research per lead
- Clean JSON for n8n
- Research API for deeper context
- Web only
- 4K credits for $30 vs 7K for Scavio
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| n8n HTTP node compatible | Yes | Yes (Apollo) | Yes (all) |
| Enrichment sources | Google + Reddit + YouTube | Company database | Email database |
| Cost per lead enrichment | $0.005-0.015 (1-3 queries) | $0.054 (Apollo) | $0.098 (Hunter) |
| Best workflow shape | Enrich → LLM score → route | Find contacts → enrich | Find emails → verify |
Why Scavio Wins
- Apollo provides richer B2B-specific data (company size, industry, contacts). For B2B lead scoring, Apollo's data is more directly useful than general search.
- The n8n workflow shape that works: webhook triggers → Scavio enriches (Google + Reddit mentions) → LLM scores using 12-line prompt → routes to CRM. Total enrichment cost: $0.01/lead.
- Hunter.io solves a different problem (finding the email). In a full pipeline, use Scavio for enrichment + scoring, then Hunter for email discovery on scored leads.
- Serper's n8n template exists and works. For Google-only enrichment, Serper is simpler and cheaper. Add Scavio when you need Reddit/YouTube signals in the scoring.
- The 12-line scoring prompt approach from Reddit works because the LLM does the intelligence; the API provides the data. Better data in = better scores out.