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Automated Google Maps Email Extraction Tool — Datraxa

Project Overview

Generating verified business leads at scale just got smarter. At Datraxa, we developed an automated Google Maps email extraction tool that collects verified business emails — with no expensive APIs or manual scraping required.

This automation is perfect for marketers, agencies, freelancers, and SaaS founders focused on hyperlocal lead generation and scalable outreach.


🔧 How It Works

Our system automates the full process of discovering verified business emails for local and hyperlocal outreach:

  1. Enter a business type and location — for example: “plumbers in Los Angeles.”
  2. Generate localized search terms such as plumbers in Hollywood or plumbers in Echo Park.
  3. Search Google Maps to collect relevant business listings.
  4. Filter and scrape websites — remove irrelevant domains and capture homepage content.
  5. Extract verified emails using regex logic and validation.
  6. Output a clean CSV file — deduplicated, accurate, and ready for CRM import or outreach.

⚙️ Technologies Used

  • n8n for no-code automation
  • OpenAI for dynamic keyword and search term generation
  • Zyte API for map data extraction
  • JavaScript & Regex for accurate email parsing and filtering
  • Structured CSV outputs for instant integration with CRM tools

📈 Key Benefits

  • Fully automated workflow — no coding required
  • Works independently — no Google Places API needed
  • Captures hyperlocal leads across any region
  • Saves hours of manual data collection
  • Ready for cold outreach, CRM import, and sales prospecting

🚀 Outcome

Datraxa’s system offers a streamlined and scalable solution for collecting verified business emails directly from Google Maps listings.
It empowers sales and marketing teams to focus on conversions, not data scraping, and scale their outreach effortlessly.

Datraxa — Hyperlocal lead generation at scale, fully automated.

This automation system is designed to extract verified business emails from Google Maps without relying on expensive APIs or manual scraping.

ClientPhoto MarketDateMay, 2024AuthorJohn MilesShare