I want a standalone software that watches Facebook Marketplace and Kijiji for newly posted exotic-car ads, captures the make & model, year of manufacture, and mileage the moment they appear, and instantly benchmarks each asking price against real-world numbers pulled from online car-valuation tools, recent auction results, and current dealership listings. Whenever a fresh listing is identified, the program must decide—using those external data points—whether the seller’s price is above, below, or right on the prevailing market average, then send me a concise email alert summarising its findings. Speed is critical: the notification should land within minutes of the ad going live so I can act before the market moves. Core deliverables: • A scraper or API-based listener that continuously scans Facebook Marketplace and Kijiji for exotic cars and logs the specified parameters. • An automated price-comparison engine that gathers up-to-date figures from the three data sources and determines the variance. • An email notification module with clear, colour-coded wording indicating Above / At / Below market. • A simple dashboard or file output showing recent matches, the comps used, and time-stamped actions for audit purposes. Acceptance criteria: the system correctly categorises a supplied test set of listings, delivers email alerts under five minutes, and runs unattended for 48 hours without interruption. Feel free to suggest the most reliable tech stack—Python with Selenium or Playwright, the Facebook Graph API if accessible, a lightweight database such as SQLite or Postgres for history tracking—so long as it meets the speed and accuracy targets outlined above.