SKILL.md — Lead Researcher by EdgeIQ Labs
Version: 1.0.0 Category: Business Intelligence / Lead Generation Author: EdgeIQ Labs Python: 3.12+
What It Does
Lead Researcher takes a company name, LinkedIn URL, or domain as input and returns enriched lead data including company size, industry, tech stack (Wappalyzer-style HTTP header/fingerprint detection), recent news, social links, and contact enrichment.
Output is structured JSON or human-readable formatted text. Pro tier adds CSV export.
Pricing Tiers
| Feature | Free | Lifetime ($39) | Optional Monthly ($7/mo) |
|---|---|---|---|
| Lookups/month | 3 | Unlimited | Unlimited |
| Basic enrichment | ✅ | ✅ | ✅ |
| Tech stack detection | ✅ | ✅ | ✅ |
| News/press articles | — | ✅ | ✅ |
| Social links | — | ✅ | ✅ |
| Contact enrichment | — | Basic | Full |
| CSV export | ✅ | ✅ | ✅ |
| Priority support | ✅ | ✅ | ✅ |
👉 Buy Lifetime — $39 👉 Subscribe Monthly — $7/mo 👉 Subscribe Monthly — $7/mo
Usage
python3 /path/to/lead_researcher.py "Acme Corp"
python3 /path/to/lead_researcher.py "https://www.linkedin.com/company/acme-corp"
python3 /path/to/lead_researcher.py "acme.com"
python3 /path/to/lead_researcher.py "acme.com" --format json
python3 /path/to/lead_researcher.py "acme.com" --format csv --output acme_leads.csv
python3 /path/to/lead_researcher.py "acme.com" --tier proArguments
input— Company name, LinkedIn URL, or domain--format— Output format:text(default) orjson--output— File path for CSV export (Pro tier)--tier— Tier override:free,pro, orbundle(default: free behavior)--tavily-key— Override Tavily API key (defaults to envTAVILY_API_KEY)
Legal Notice
⚠️ Only research companies you have legitimate business interest in. Do not use for spam or unsolicited contact. This tool aggregates publicly available information. Respect robots.txt and terms of service of scraped sources.
Tech Stack Detection
The skill performs passive HTTP-based tech fingerprinting:
- Makes HTTP/HTTPS requests to the target domain
- Inspects HTTP headers (Server, X-Powered-By, CF-* headers, etc.)
- Checks for common JavaScript framework meta tags in HTML
- Looks at default paths (favicon, /wp-login.php, /.well-known/, etc.)
- Compares headers and patterns against a built-in signature database
No active scanning. No port probes. Passive reconnaissance only.
Output Schema
{
"company": "Acme Corp",
"domain": "acme.com",
"size": "50-200",
"industry": "Software",
"description": "...",
"tech_stack": ["WordPress", "Cloudflare", "Google Analytics", "Stripe"],
"news": [{"title": "...", "url": "...", "date": "..."}],
"social": {"linkedin": "...", "twitter": "...", "facebook": "..."},
"contacts": [{"name": "...", "title": "...", "linkedin": "..."}],
"lookup_date": "2026-04-23"
}🔗 More from EdgeIQ Labs
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