I need a Python-based “Load Scraper” that logs into trucksmarter.com every 15 minutes, applies my three fixed filters—rate per mile, distance, and route—and emails me an HTML snapshot of only the single most profitable load found in that cycle. Core expectations • Scrape DAT Free reliably despite dynamic content or anti-bot measures, authenticating with supplied credentials. • Evaluate loads against the filters, sort by profitability, and pick the top candidate. • Compose a clean, responsive HTML email that highlights all key load details and send it automatically after each scan. • Schedule the job to run every 15 minutes on the most economical hosting you can source (free Heroku dyno, AWS free tier, fly.io, etc.). • Package the solution as a Git-tracked project with a requirements.txt / Pipfile, environment-variable configuration for secrets, and a one-step deployment script or Dockerfile. Acceptance will be based on: 1. End-to-end demo showing a 15-minute cycle that fetches, filters, and sends the HTML email. 2. Clear README covering setup, deployment, and how to adjust scan frequency or filters. 3. Zero paid hosting fees unless I explicitly approve an upgrade. Hand over the repository and deployment link when everything is running smoothly.