Scrape verified decision-maker emails from Google with GPT-4.1 and Apify

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1. Workflow Overview

Description 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 compa...

Best for

Lead Generation automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Hyrum Hurst.

Original n8n.io source

1.1 Workflow description

Title: Scrape verified decision-maker emails from Google with GPT-4.1 and Apify
Workflow name: Scrape verified decision-maker emails from Google with GPT-4.1 and Apify

Description

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.

How it works

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.

Set up steps

Apify

Create an Apify account
Generate an API token
Select a Google Search scraping actor

OpenAI

Create an OpenAI account
Generate an API key

Email validation service

Create an account with your preferred email validation provider
Generate an API key

Google Sheets

Create a spreadsheet for storing results
Configure Google Sheets credentials in n8n

Configure the workflow

Update the search query input
Add API keys to the relevant nodes
Select the target Google Sheet

Run the workflow

Execute the workflow manually or via webhook

Output

Each processed result produces:

Company name
Website domain
Decision-maker email address
Email validation status
Source search query

Requirements

Apify account
OpenAI API key
Email validation API key
Google Sheets credentials

Author

Hyrum Hurst AI Automation Engineer at QuarterSmart 📧 [email protected]

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 3 - Split Out Organic Results

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 4 - AI Extract Owner Emails

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 5 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 6 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 7 - Code in JavaScript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - Verify Email

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 9 - Format ValidKit Output

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Log Verified Emails

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 11 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Scrape verified decision-maker emails from Google with GPT-4.1 and Apify
Complexity	advanced
Nodes	17
Categories	Lead Generation, AI Summarization
Author	Hyrum Hurst
Published	21 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12877/12877.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows AI Summarization workflows

Frequently asked questions

What does Scrape verified decision-maker emails from Google with GPT-4.1 and Apify do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.

Hyrum Hurst

25 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.httprequest n8n-nodes-base.splitout @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.code n8n-nodes-base.set

Complexity

advanced

Published 21 Jan 2026

Likes 0

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Install path: /data/workflows/12877/12877.json

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Scrape verified decision-maker emails from Google with GPT-4.1 and Apify

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Description

How it works

Set up steps

Output

Requirements

Author

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Block 2 - HTTP Request

Block 3 - Split Out Organic Results

Block 4 - AI Extract Owner Emails

Block 5 - OpenAI Chat Model

Block 6 - Structured Output Parser

Block 7 - Code in JavaScript

Block 8 - Verify Email

Block 9 - Format ValidKit Output

Block 10 - Log Verified Emails

Block 11 - Sticky Note

Block 12 - Sticky Note1

Block 13 - Sticky Note2

Block 14 - Sticky Note3

Block 15 - Sticky Note4

Block 16 - Sticky Note5

Block 17 - Sticky Note6

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions