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Sales & Marketing

How I Turned Google Maps Into a Statewide Sales Machine

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