The Problem
Tools that find candidates without a system around them produce TODO lists, not placements. Per-seat ATS+CRM platforms cost $99-300/mo per seat and lock the candidate database into vendor schema.
The Scavio Solution
n8n + Scavio (discovery + dorked search) + Apify (LinkedIn-tolerant scraper actors) + Hunter (email find/validate) + Smartlead/Lemlist (outreach) + reply triage back to source-of-truth. End-to-end pipeline, not point tools.
Before
Recruiters paying for tools (Sales Nav, Apollo, etc.) and getting candidates without a system to qualify, enrich, reach out, follow up.
After
200-500 candidates discovered/week, ~10-30% qualified, personalized outreach to ~50 contacted, replies routed back. Per-finalist-contacted cost ~$2-5.
Who It Is For
Recruiting agencies running 200+ recruits/mo, in-house TA teams productizing systems, indie recruiters scaling beyond their own keyboard.
Key Benefits
- No data lock-in (you own the candidate DB)
- Scavio multi-source discovery (GitHub, Medium, LinkedIn, Reddit)
- Each component swappable
- Per-recruit-cycle cost under $5/finalist contacted
- End-to-end vs point-tool
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def discover(role, skills, location):
dorks = [
f'site:github.com user-card senior {role} 2024-2026',
f'site:linkedin.com/in {role} {location}',
f'site:medium.com author {skills[0]} 2026',
]
return [r for q in dorks for r in requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': q}).json().get('organic_results', [])[:10]]JavaScript Example
// Same in TS.Platforms Used
Web search with knowledge graph, PAA, and AI overviews