How to Build an Automated B2B Lead Generation System with n8n and Web Scraping

Need to find qualified B2B leads automatically? Here's how I built a system that finds, qualifies, and enriches leads using n8n workflows and web scrapers. The Problem Manual lead research costs $15-30/hour per SDR. An average SDR finds 20-30 qualified leads per day. That's $500+/day in labor costs. I automated it: 500+ qualified leads per day for $0.03 each. Architecture Data Sources → Web Scrapers → n8n Workflow → AI Qualification → CRM/Sheets Step 1: Data Collection (Web Scrapers) I built scrapers for the sources that matter: Company directories — Extract company name, website, employee count, industry Job boards — Companies hiring = companies growing = companies buying Review platforms — Trustpilot/G2 reviews reveal pain points Social media — Reddit/HN discussions show what people need News — Google News for funding rounds, launches, expansions All scrapers available free on Apify Store (77 scrapers covering these sources). Step 2: n8n Workflow Schedule Trigger (daily) → HTTP Reque