Local B2B Lead Extraction — Google Maps scraping to CSV exports

Many local sales teams, agencies, and SMBs waste time and budget on generic national lists or manually compiled prospect spreadsheets that return low conversion—there are roughly 5 million local businesses and buyers are already spending about $6,000 per year on lead lists and related services, implying an approximate $30B addressable market. The core pain is noisy, outdated contact data, poor geo-filters, and high manual effort to assemble city- or neighborhood-level lists that actually convert. A viable product is a SaaS platform that ingests Google Maps and other local directories, applies ML-powered deduplication and verification, enriches records with structured attributes and geofences, and exports clean CSVs or API feeds with scheduled regional snapshots. Offerings should include CRM export templates, per-export or subscription pricing, and accuracy SLAs—realistic early targets are 85–92% verified deliverability—to appeal to performance-focused buyers. Be candid about technical and legal risk: scraping Google Maps can trigger blocking and terms-of-service issues, so plan for a hybrid approach that combines licensed feeds, robust proxying, and legal counsel. This market is attractive now because buyers are moving toward hyper-local outreach, automation/enrichment is improving list quality, and procurement is shifting to performance metrics (market score 95/100, revenue potential 90/100). To differentiate you must own quality and trust—transparent data provenance, refund or ROI-linked guarantees, verticalized templates, deep CRM integrations, and a documented compliance strategy—these are defensible advantages but require upfront investment in data partnerships, engineering, and customer success; pursue this only if you can absorb the compliance complexity and target strong unit economics (for example, >70% gross margin and CAC payback under six months).