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Sales & Marketing
How I Turned Google Maps Into a Statewide Sales Machine

60%
Hours saved
Daily
Automated outreach
90%
Faster sourcing
Overview
Small businesses spend hours manually searching for leads on Google Maps, copying contact info, and cross-referencing public records. This automation replaced that entire workflow with a pipeline that scrapes business listings, enriches them with owner names and emails from public records, and exports structured lead sheets ready for outreach.
The Challenge
- Manual lead research taking a full day per batch
- Inconsistent data quality from manual copy-paste
- No enrichment — missing owner names, emails, and phone numbers
- Outreach delayed by slow lead sourcing
What We Built
- Automated Google Maps scraping for business listings by category and location
- Public records cross-referencing for owner names and contact details
- Email and phone number extraction and validation
- Structured CSV export with pre-enriched, ready-to-contact leads
- Daily automated runs to keep the pipeline fresh
Technologies Used
PythonSeleniumBeautifulSoupGoogle Maps APICSV/Excel export
