Extract employee emails from company domains with BrowserAct and Google Sheets

by Madame AI Team | Kai ✓ · 42 views · created 2026-01-01 · Lead Generation

What this workflow does

This workflow has 14 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Sheets, Telegram, Slack and Browseract (community). It also calls api.browseract.com over HTTP.

How it runs

Trigger: Manually, when you click “Execute workflow”.

1. Reading company data (Google Sheets): uses Google Sheets
2. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
3. Send Finishing Message (Slack): uses Slack
4. Create Database Sheet (Google Sheets): create
5. Define Headers (Edit Fields (Set)): sets 3 fields: Email, Position, Name
6. Add Headers (Google Sheets): append
7. Domain-Specific Lead Extraction (Browser Act): uses Browser Act
8. Human verification Switch (Switch): routes items into 3 branches
9. Splitting Items (Code): runs custom JavaScript code
10. Give Time to Complete Verification (Wait): waits 10 minutes

…plus 3 more steps. See the full node list below.

Services it uses

Google SheetsTelegramSlackBrowseract (community)

HTTP calls to: api.browseract.com

Before you upgrade to n8n 3.0

Nodes used (11)

• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Coden8n-nodes-base.code
• Google Sheetsn8n-nodes-base.googleSheets
• Edit Fields (Set)n8n-nodes-base.set
• Waitn8n-nodes-base.wait
• HTTP Requestn8n-nodes-base.httpRequest
• Telegramn8n-nodes-base.telegram
• Switchn8n-nodes-base.switch
• Manual Triggern8n-nodes-base.manualTrigger
• Slackn8n-nodes-base.slack
• Browser Actn8n-nodes-browseract.browserAct

From the author

Extract employee emails from company domains using Human-in-the-Loop scraping using BrowserAct This workflow automates the process of enriching company data by scraping employee emails and positions from company websites. It processes a list of URLs from a…

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