CASE STUDY 05

Lead Generation Pipeline with Web Scraping

Lead generation system that scrapes public sources, enriches data, deduplicates, and pushes qualified leads into GoHighLevel for outreach.

Industry: B2B SaaS / Marketing Timeline: 4 weeks Lead GenerationWeb ScrapingAutomations
Lead Generation Pipeline with Web Scraping — architecture diagram
SYSTEM ARCHITECTURE

The pain

The team was buying lead lists that arrived stale, duplicated against existing contacts, and contained heavy bounces. The sales team was wasting calls on bad data.

The marketing budget for lead lists was eating $4,500/month with declining returns.

The founder wanted an in-house pipeline that scraped fresh leads from public sources, enriched them with verified email and LinkedIn data, deduplicated against the existing CRM, and pushed only qualified leads into GHL outreach.

What I built

Playwright scrapers

Targeting public job boards, company directory sites, trade association member lists.

Lead enrichment

Hunter.io + LinkedIn lookups with confidence scoring on each match.

Supabase dedupe

Logic against existing GHL contacts (email + company name).

n8n orchestration

Daily pipeline processing ~400 new leads per day.

Quality gates

Only leads above a configurable confidence threshold reach GHL.

Sales review export

CSV and Google Sheets exports for review before outreach.

Compliance docs

Data sources, retention, and opt-out handling.

Outcome

$200/mo
Lead spend, down from $4.5K
4.7%
Lead-to-meeting rate, up from 1.8%
12hrs/wk
Sales time reclaimed
280/wk
Qualified leads added

Stack

PlaywrightNode.jsSupabasen8nGoHighLevelMake.comGoogle SheetsHunter.io
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