Google Maps Email Scraper Template

Google Maps Email Scraper Template automates the extraction of emails from businesses listed on Google Maps based on your specified queries. This workflow efficiently filters out duplicates and irrelevant data, ensuring you receive clean, actionable leads directly into your Google Sheets. Save time and enhance your lead generation efforts with this streamlined solution.

7/8/2025
26 nodes
Complex
manualcomplexremoveduplicatessplitinbatchesfilteraggregatesplitoutgooglesheetsexecuteworkflowtriggerwaitexecuteworkflowsticky noteadvancedapiintegration
Categories:
Complex WorkflowManual TriggeredData Processing & AnalysisBusiness Process Automation
Integrations:
RemoveDuplicatesSplitInBatchesFilterAggregateSplitOutGoogleSheetsExecuteWorkflowTriggerWaitExecuteWorkflowSticky Note

Target Audience

This workflow is ideal for:
- Marketing Professionals: Looking to gather leads from businesses on Google Maps.
- Sales Teams: Seeking to expand their contact lists with potential client emails.
- Entrepreneurs: Interested in reaching out to local businesses for partnerships or services.
- Data Analysts: Wanting to analyze email patterns and trends from various businesses.
- Developers: Who need to automate data scraping processes for various applications.

Problem Solved

This workflow addresses the challenge of manually collecting email addresses from businesses listed on Google Maps. It automates the process of searching, scraping, filtering, and storing emails, saving users valuable time and effort while ensuring they gather relevant leads efficiently.

Workflow Steps

  • Manual Trigger: The workflow begins with a manual trigger, allowing users to start the process at their convenience.
    2. Loop Over Queries: Users provide a list of search queries, and the workflow processes each query in batches.
    3. Search Google Maps: For each query, the workflow sends a request to Google Maps to retrieve search results.
    4. Scrape URLs: The workflow extracts URLs from the search results using regular expressions.
    5. Filter Irrelevant URLs: It filters out URLs that do not meet specified criteria to ensure only relevant links are processed.
    6. Request Web Pages: The workflow visits each filtered URL to gather data from the web pages.
    7. Scrape Emails: It extracts email addresses from the web page data using regex patterns.
    8. Aggregate Emails: All collected emails are aggregated into a single list to prepare for further processing.
    9. Remove Duplicates: The workflow eliminates duplicate email addresses to ensure a clean dataset.
    10. Filter Irrelevant Emails: It filters out irrelevant or undesirable email addresses based on specified criteria.
    11. Save to Google Sheets: Finally, the cleaned and filtered email addresses are saved into a Google Sheets document for easy access and management.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Search Queries: Change the list of queries in the manual trigger node to target different types of businesses.
    - Adjusting Filtering Criteria: Update the regex patterns in the filter nodes to include or exclude specific domains or email formats.
    - Changing Wait Times: Adjust the wait time between executions to manage the scraping speed and avoid hitting rate limits.
    - Selecting Different Google Sheets: Change the Google Sheets node parameters to save emails to a different document or sheet as needed.
    - Adding Additional Processing Steps: Users can insert additional nodes as needed for further data analysis or integration with other tools.