I need a small, self-contained script that continuously captures price details from current Uber ride offers in Chile and feeds them into a file or simple database I can query later for my own analysis. Scope • Data points: only the live price component shown to riders (no need for ride duration, discount codes, or any other fields). • Frequency: real-time or near-real-time polling—latency of a minute or less is acceptable as long as I can adjust the interval easily. • Geography: the solution must respect local settings so the fares reflect Chilean market prices. Technical Expectations I am flexible on language, but Python with requests, Selenium, or Playwright is ideal because I can maintain it afterward. Please include: 1. Setup instructions and any environment variables or proxies required to avoid rate limits. 2. A brief README explaining how to start, stop, and change the polling interval. 3. Output options—CSV by default, with the ability to switch to SQLite or another lightweight store if I decide to scale. Success Criteria • Script runs on my own machine (macOS) with minimal effort. • Captured fares match what I see in the Uber app or web view at the same moment. • Code is clean, commented, and free of hard-coded personal credentials. If you have experience bypassing dynamic sites, rate-limiting, or captcha challenges on ride-sharing platforms, let me know in your proposal.