This repository implements a production-grade Google Maps business data extraction platform with multiple execution modes: CLI, web UI, REST API, AWS Lambda, and a self-hosted SaaS edition. The core scraping engine uses Playwright for browser automation and also supports a stealth HTTP fast mode. It extracts 36+ structured fields per business (name, address, phone, website, reviews, ratings, emails, coordinates, hours, etc.) and provides deduplication, grid-based area coverage, email extraction via website visits, and review parsing. The architecture is modular with packages for scraping jobs, runners (file, database, web, Lambda, SaaS worker), output writers (CSV, JSON, PostgreSQL, S3, custom plugins), job queuing via River, and a comprehensive admin dashboard with cloud provisioning on DigitalOcean and Hetzner. The system is designed for both single-user CLI use and multi-tenant SaaS deployments with authentication, 2FA, API key management, and scalable worker pools. The codebase demonstrates strong Go engineering practices with well-defined interfaces, dependency injection, and test coverage. Notable reusable components include cryptography utilities, HTTP server middleware, rate limiting, and a CLI prompt library. However, the repository has some maintenance concerns: two separate database migration sets for legacy and SaaS modes, in-memory deduplication that doesn't persist across restarts, committed test SSH keys in the `local/` directory, and a large dependency surface that could introduce version conflicts. The scraper logic is inherently brittle due to reliance on Google Maps internal data structures, which are subject to change without notice. For AI agent consumption: This is a powerful off-the-shelf scraping tool that can be deployed as a Docker container, AWS Lambda, or managed SaaS. It provides a complete API and web interface for managing scraping jobs, monitoring progress, and exporting data. The SaaS edition includes worker auto-provisioning, making it suitable for large-scale lead generation operations. The code is actively maintained with recent commits addressing performance and feature enhancements.