Find qualified B2B leads for free using automated scraping and workflows

Small and mid-market B2B sellers (roughly 3M businesses) routinely waste time and budget chasing low-quality paid leads or doing manual research, and they lack affordable sources of refreshed, targeted contact lists and intent signals. This creates a persistent pain point for sales teams that need predictable, qualified opportunities without a high $3K ACV spend per customer acquisition. You could build a SaaS that automates scraping of public business directories and web signals, enriches records with firmographic/technographic data and LLM-powered intent scoring stored in cheap vector DBs, and pushes deduped, CRM-ready lead lists and outreach workflows to users; a free tier for basic scraping plus paid premium features or data partnerships could enable rapid adoption. Focus on turnkey integrations (HubSpot, Salesforce) and scheduled refreshes so SMBs get continuous, usable leads rather than raw data dumps. The addressable market is compelling — roughly $9.0B tied to 3M SMBs at $3K ACV — and macro trends (SMBs reallocating spend from paid ads to owned channels, falling LLM/vector DB costs, and growing availability of public business data) make this timely. To stand out you’ll need superior data hygiene, transparent compliance for scraping and privacy, and demonstrable intent scoring that drives higher conversion than lists from incumbents; the upside is high adoption potential, but expect intense competition and operational/legal challenges around data freshness and scraping policies.