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Google Maps Email Scraper Template

This workflow can automatically extract business email addresses from Google Maps by conducting bulk searches using custom keywords. It automatically filters out invalid and duplicate links and emails, ultimately organizing and saving the valid emails to Google Sheets. It simplifies the cumbersome process of manual searching, improving the efficiency and accuracy of data collection. This workflow is suitable for marketers and sales teams for acquiring and managing potential customer emails, facilitating subsequent marketing activities.

Workflow Diagram
Google Maps Email Scraper Template Workflow diagram

Workflow Name

Google Maps Email Scraper Template

Key Features and Highlights

This workflow automatically extracts email addresses from business listings on Google Maps. It supports bulk searches using a customizable keyword list, automatically filters out invalid or duplicate URLs and emails, and compiles the valid email addresses into Google Sheets for easy management and marketing use. The process runs automatically in the background with simple operation, and includes configurable wait times to control request frequency, ensuring stable and reliable data collection.

Core Problems Addressed

  • Manual searching for target business emails on Google Maps is tedious and inefficient;
  • Traditional scraping tools struggle to automatically filter invalid links and emails, resulting in messy data;
  • Managing and saving results from large-scale keyword searches is difficult;
  • There is a need to automatically export email data into spreadsheets for subsequent use.

Use Cases

  • Marketing professionals quickly acquiring potential customer emails;
  • Sales teams mining regional or industry-specific customer leads;
  • Businesses expanding local operations and preparing for email marketing campaigns;
  • Data analysts collecting contact information of target groups for analysis.

Main Workflow Steps

  1. Batch Loop Execution of Keywords: Sequentially search Google Maps based on predefined query keywords.
  2. Extract URLs from Search Results: Use regular expressions to extract valid business links from the page.
  3. Filter Irrelevant or Duplicate URLs: Remove unrelated or duplicate links (e.g., Google’s own URLs) to ensure data accuracy.
  4. Access Business Webpages: Request content from each valid URL.
  5. Extract Emails from Page Content: Use regex matching to identify valid email addresses.
  6. Merge and Deduplicate Email List: Consolidate all emails and remove duplicates.
  7. Filter Out Invalid Emails: Exclude common invalid or system-generated email addresses.
  8. Save Emails to Google Sheets: Append the final email list to a specified Google Sheet.

Systems and Services Involved

  • Google Maps (data source for scraping)
  • Google Sheets (data storage and management)
  • n8n Automation Platform Nodes (HTTP requests, code execution, deduplication, filtering, batch processing, etc.)

Target Users and Value

  • Marketing and sales professionals needing to bulk acquire business contact emails;
  • Small and medium business owners conducting localized customer data collection;
  • Automation enthusiasts and data scraping analysts;
  • Users aiming to improve marketing efficiency and reduce manual data collection costs.

By leveraging automation technology, this workflow significantly simplifies the process of scraping emails from Google Maps, achieving efficient, accurate, and structured data acquisition. It serves as a powerful tool for marketing automation and customer lead generation.