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Case Study 02  ·  Corporate Training

How We Cut HR Lead Research
Time by 80% Using AI Scraping

Petaling Jaya, Malaysia
Corporate Training Provider
Built in 1 Week
From RM300 / month
Business team doing research and outreach

The Problem

A corporate training company in Petaling Jaya sells training programmes to companies across Malaysia. Their target audience: HR managers and HR directors — the people who sign off on staff training budgets.

The problem? Finding those people was a full-time job in itself.

Their sales team spent the bulk of their days doing manual research — combing through LinkedIn profiles, job portals, building directories, and company websites just to find the right contact name, their email, and their phone number. Each company took at least 15 minutes of manual research. With thousands of companies to target, the math was brutal.

The salespeople weren't selling. They were Googling.

"Our team was spending more time finding leads than actually talking to them. We needed a way to scale our prospecting without scaling our headcount."

What We Built

a160z built an AI-Powered HR Lead Crawling System — a fully automated workflow that turns a list of company names (or even building directory photos) into a structured spreadsheet of HR contacts, complete with names, job titles, LinkedIn profiles, and contact details.

The process is dead simple for the sales team to use:

No login required. No manual steps. The team simply drops the input and comes back to a ready-to-use lead list.

The Solution Architecture

n8n workflow for HR lead scraping system

The n8n + Google Gemini workflow that automates HR contact discovery from LinkedIn and job portals

The system runs on n8n with Google Gemini as the AI model for intelligent contact extraction and relevance filtering. When a file is created or updated in Google Drive, the workflow triggers automatically — looping through each company, running web scraping sub-agents, and compiling results into a master Google Sheet.

The architecture includes multiple parallel AI agents, each specialised in a different data source, working simultaneously to speed up research time across large batches.

Technology Used

n8n Automation
Google Gemini (AI)
Google Sheets
Google Drive
LinkedIn Scraping
Job Portal Scraping

The Results

The sales team immediately felt the difference. Within the first week of deployment, what used to take an entire day of manual research was done in minutes — automatically, while the team focused on calls and follow-ups.

80%
Reduction in research time
100%
Sales team focused on outreach
From RM300
Per month — runs 24/7

The company now has a consistent, scalable pipeline of HR contacts flowing in — without hiring a single additional researcher. Their sales pipeline grew, their conversion conversations increased, and the team spends their energy where it actually matters: building relationships and closing deals.

Built in 1 week. Running at from RM300/month. The ROI was visible within the first month.

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