Automated Google Maps Email Scraper

Automate Google Maps email scraping for faster, cleaner lead generation.

1. The Problem: Why This Matters

Finding business contact details manually on Google Maps is inefficient. For sales teams, marketers, and researchers, copying emails one by one is a slow, frustrating process. Even after collecting the data, duplicates and irrelevant contacts can clutter lists, making outreach less effective. Businesses need a faster, more accurate way to gather contact details at scale.

2. The Solution: How It Works

This automated workflow streamlines the process by:

  • Searching Google Maps using a list of targeted queries, such as “Cafés in Sydney” or “Real Estate Agencies in Melbourne.”
  • Extracting business website URLs from the search results.
  • Visiting each website and scraping email addresses.
  • Removing duplicate and irrelevant emails.
  • Saving the cleaned list to Google Sheets for easy access.

3. Key Benefits

  • Saves hours of manual work – Fully automates data collection.
  • Delivers accurate, clean data – Filters out duplicates and irrelevant emails.
  • Customisable for your business – Target specific industries, locations, and keywords.
  • Seamlessly integrates with your workflow – Automatically saves results to Google Sheets for easy use.

4. Workflow in Action

  1. Search Google Maps – The workflow runs targeted queries to find businesses.
  2. Extract Business URLs – It collects website links from search results.
  3. Find Emails – The automation scrapes email addresses from each website.
  4. Filter & Clean Data – It removes duplicates and irrelevant contacts.
  5. Save to Google Sheets – The final list is stored in an organised, ready-to-use format.

5. Example Use Case: Real-World Scenario

A marketing agency is planning an email campaign for café owners in Sydney. Instead of manually searching for cafés, collecting contact details, and cleaning the data, they use this workflow to:

  • Search for café businesses in Sydney.
  • Extract contact details and website URLs.
  • Scrape emails from the websites.
  • Filter out duplicate and irrelevant emails.
  • Automatically save the data to Google Sheets.

Within minutes, they have a clean, structured email list, allowing them to focus on their outreach instead of wasting time on manual data collection.

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