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ANDREA MILANO AI
Case study

Automated Market Intelligence Agent

Acquiring qualified B2B leads globally requires deep technical auditing of prospects' web infrastructures. Manual data entry is unscalable, and standard scraping scripts are immediately blocked by modern anti-bot firewalls.

Operational HQ: Murcia, SpainTarget sector: Agri-food ExportOperating language: Spanish

The Challenge

Acquiring qualified B2B leads globally requires deep technical auditing of prospects' web infrastructures. Manual data entry is unscalable, and standard scraping scripts are immediately blocked by modern anti-bot firewalls.

System Architecture

  • Headless Browsing Engine: Engineered a resilient automation architecture using Playwright to navigate complex dynamic directories and extract data without triggering security flags.
  • Deep Technical Auditing: The agent autonomously visits each prospect's website to perform a real-time audit—detecting the active CMS, measuring server load speeds, and identifying installed marketing pixels.
  • Automated Data Pipeline: Harvested information is instantly cross-referenced, de-duplicated, and structured into a clean database, creating a continuous flow of highly qualified enterprise leads.

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