01 — The challenge
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.
Case study · 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.
Technology stack
- n8n
- Web Scraping
- Apollo API
- LLM
02 — What I built
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
Inside the build
01 / 05
03 — The outcome
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.
Next project
GitHub Developer Sourcing
Automation · n8n · GitHub API · Supabase
Read the case study