*** Get all my templates for free — https://www.skool.com/ai-automation-hub-6569
In this video, I'll show you how to build a LinkedIn scraper automation that I sold to a client for $1,500 using Gumloop, without writing a single line of code.
Most people think scraping LinkedIn for leads is challenging due to login requirements, but I've created a no-code solution that works perfectly with logged-in sessions through a Chrome extension.
## What you'll learn:
- Set up a LinkedIn scraper workflow in Gumloop that works with logged-in sessions
- Use the Gumloop Chrome extension to trigger automations from any LinkedIn webinar page
- Extract LinkedIn profile URLs from webinar commenters
- Automatically gather profile data including names, job titles, and locations
- Enrich contact data with email addresses and phone numbers
- Save all lead information directly to Google Sheets for follow-up
I'll walk you through the full process, from setting up your Chrome extension trigger to building the complete workflow in Gumloop.
You'll see a real-time demo where the automation takes a LinkedIn webinar page, extracts all commenter profiles, gathers their personal information, enriches the data, and stores everything in an organized spreadsheet—all with a single click from the Chrome extension.
This is perfect for sales teams, recruiters, or anyone who needs to generate leads from LinkedIn events. I'll guide you through it step by step, showing you exactly how to implement this revenue-generating automation for your business or clients.
🔗 My links:
Free Skool: https://www.skool.com/ai-automation-hub-6569
Website: https://mikefutia.com/
X: https://x.com/mikefutia
TikTok: https://www.tiktok.com/@mike_futia
# Chapters
00:00 – $1,500 LinkedIn Scraper Overview
01:33 – Scraper Challenge with Logged-Out LinkedIn
03:13 – Running the Flow with Gumloop Chrome Extension
04:57 – Extracting Only LinkedIn Profile URLs
06:33 – Enriching Data with ProxyCurl + LinkedIn Scraper
08:02 – Building the Flow Inside Gumloop
26:39 – Final Output + Client Value