Case studyAI Automation

Lead Acquisition System

A lead acquisition pipeline that scrapes, enriches, qualifies, and formats prospects from Upwork, GitHub, and Indeed. It gives sales/recruiting teams CRM-ready records instead of hours of manual sourcing.

System stack
n8n
Web Scraping
Apollo API
LLM
Built forA real operational bottleneck
Business impactA faster, more reliable workflow
Delivery approachScoped, built, tested, and documented
01

Client challenge

Sales and recruiting teams spent 80% of their prospecting time on manual sourcing — searching job boards, qualifying candidates, finding contact details, and entering data by hand. High effort, low throughput.

02

What I built

I built a fully automated lead pipeline using n8n that scrapes Upwork, GitHub, and Indeed, runs LLM-based qualification against defined criteria, enriches each lead with Apollo contact data, and inserts ready records into the CRM.

  • Multi-source scraping across Upwork, GitHub, and Indeed
  • LLM-based lead qualification against custom criteria
  • Apollo API integration for contact enrichment
  • Automated CRM insertion with deduplication
  • Configurable qualification rules for different roles
03

Measured outcomes

Manual screening time reduced by 80%. The team now wakes up to a warm, pre-qualified, enriched lead list every morning — eliminating manual sourcing entirely and redirecting hours toward relationship-building and closing.

See the system, not just the summary.

5 project views
Lead acquisition system interface — view 1

Primary workflow view

Let’s map the fastest path from manual work to a reliable system.

Bring the workflow that is slowing your team down. You’ll leave with a clearer next step—even if we do not work together.

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