leadgen 0.1.0

Lead generation pipeline for marketing audit services — discover, score, and rank websites by marketing opportunity

leadgen

Lead generation pipeline for marketing audit services.

Discovers hundreds of websites via Google/Bing scraping, scores them by marketing opportunity (the worse their marketing, the higher the score), and stores everything in a local SQLite database ranked and ready for outreach.

Designed as the upstream stage of ai-marketing-claude.

Install

pip install leadgen

Quick start

# Copy agents and skills to your project
leadgen init

# Run the full pipeline
leadgen run "agencias de marketing digital" --geo "Buenos Aires" --max 200

# See ranked results
leadgen rank --tier A

# Export to CSV
leadgen export --output leads.csv --min-tier B

Pipeline

Google/Bing SERP scraping
        ↓
Pre-screen  (fast, 8s timeout — filters parked domains and good-marketing sites)
        ↓
Full analysis  (SEO, CTAs, tracking, trust signals)
        ↓
leads.db  (SQLite, persists across runs)
        ↓
CSV export  →  ai-marketing-claude

Scoring

opportunity_score = 100 - marketing_quality

A site with no analytics, no CTAs, and no meta description scores opportunity: 85 — that's a Tier A lead.

Tier	Range	Action
A	75–100	Contact within 48h
B	55–74	Contact this week
C	35–54	Nurture list
D	0–34	Discard

Commands

leadgen run "<topic>"       # Full pipeline
leadgen discover "<topic>"  # Discovery only (no analysis)
leadgen rank                # Show ranked leads
leadgen rank --tier A       # Filter by tier
leadgen stats               # DB statistics
leadgen export              # Export to CSV
leadgen init                # Copy agents/skills to current directory

Requirements

• Python 3.11+
• aiohttp, aiosqlite