This workflow automatically discovers decision-maker email addresses from Google search results using AI.
Starting from a search query, it scrapes organic Google results, extracts company domains, infers likely decision-makers, generates realistic executive email patterns, validates deliverability, and stores only verified emails in Google Sheets.
The workflow is designed to reduce manual research while producing structured, outbound-ready contact data that can be reused across sales, partnerships, recruiting, and research workflows.
Trigger
The workflow starts manually or via a webhook with a Google search query.
Google Search Scraping
An Apify node collects organic Google search results for the query.
Result Processing
Each result is processed individually to extract the company name and website domain.
Decision-Maker Inference
An AI model analyzes the company context and identifies likely decision-makers (for example founders, executives, partners, or directors).
Email Pattern Generation
AI generates realistic executive email address candidates based on the company domain.
Inbox Filtering
Generic role-based inboxes (such as info@, support@, or sales@) are removed.
Email Validation
An email validation API checks deliverability and filters out invalid addresses.
Data Structuring
Results are normalized into structured fields for consistent storage.
Storage
Verified emails and company details are logged in Google Sheets.
Apify
OpenAI
Email validation service
Google Sheets
Configure the workflow
Run the workflow
Each processed result produces:
Hyrum Hurst
AI Automation Engineer at QuarterSmart
📧 [email protected]