Sales Advanced

Automate Product Hunt Lead Generation

Daily n8n workflow that scrapes the top Product Hunt launches with Apify, enriches each maker with emails and social handles, and writes the organized list to Google Sheets with optional Gmail outreach.

At a glance

Automate Product Hunt Lead Generation is an advanced-level sales automation built with n8n. Scrape daily Product Hunt launches and sync enriched maker leads to Google Sheets.

Tools required
n8n
Tags
#product-hunt #lead-generation #google-sheets #gmail #apify
Difficulty
Advanced
Published
· 2 min read

How It Works

The workflow runs every morning at 9 AM to pull the day’s top 50 Product Hunt launches through an Apify scraper. Each product is then passed to a second Apify actor that enriches the maker’s contact details, including email, Twitter, LinkedIn, and Discord. The results land in a Google Sheet and can trigger a personalized Gmail outreach to each maker.

Setup Steps

  1. Install n8n: Deploy a cloud instance or self host n8n on your preferred infrastructure.
  2. Connect Apify: Sign up for Apify and add the credentials for the Product Hunt scraper and the contact enrichment actor.
  3. Authorize Google Sheets: Link a Google Sheets destination and set up headers for product data, maker info, and contact fields.
  4. Enable Gmail API: Connect Gmail via OAuth so the outreach node can send personalized messages from your mailbox.
  5. Configure schedule and limits: Set the daily cron to 9 AM, choose the top N products, and adjust the weekly top 100 trigger for Mondays.
  6. Customize email template: Edit the HTML template with product name variables, your value proposition, and an unsubscribe link.

Automation Workflow

Cron trigger (daily 9 AM, Monday weekly)
         ↓
Apify Product Hunt scraper (top 50 or top 100)
         ↓
Deduplication and filtering node
         ↓
Apify contact enrichment actor (per product)
         ↓
Google Sheets append (product, maker, contacts)
         ↓
Gmail API outreach (optional, personalized template)

Benefits

Advanced Features

Use Cases

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