Work

Competitive Intelligence Engine

Python
Selenium
Web Scraping
Market Intelligence

21 real-time scrapers monitoring every competitor in the Argentine FX market. Captured 20% of the target market. Built solo at IOL.

Data scraping visualization

Business Case

The company wanted to guarantee the best FX price in the market. Marketing was running a campaign promising “the best price” but had no way to verify it in real-time. C-level executives asked me to solve this.

Impact

  • 21 scrapers covering 100% of competitors in the Argentine FX market
  • Captured 20% of the target market by enabling a data-driven pricing strategy
  • Built mobile app emulators for 2 competitors that had no public website
  • Flask monitoring dashboard for the team to track prices across the market
  • Solo project: designed, built, and maintained entirely by myself

Technical Details

  • Python with Selenium and BeautifulSoup for web scraping
  • Mobile device emulation for app-only competitors
  • Real-time price aggregation and comparison
  • Flask web interface for the pricing team
  • Scheduled automation for continuous monitoring

View source code on GitHub →