Motivation

• Provide an automated monitor and pre-booking helper for high-demand movie releases that detects the booking CTA and advances through booking steps while keeping a human in the loop for payment.
• Reduce bot-detection risk by using selenium_stealth and rotating User-Agent strings.
• Preserve authenticated sessions via a persistent Chrome profile so manual logins/OTPs are not required during a rush.
• Notify the user immediately (desktop audio + mobile push) and keep the browser foregrounded at the payment step for manual authorization.

Description

• Added michael_jackson_ticket_bot.py, a Selenium script that uses selenium_stealth, a rotating User-Agent, and WebDriverWait/Expected Conditions to poll the target URL and click the booking flow until the payment page is reached.
• Implemented persistent session support via --user-data-dir and --profile-directory, a 3-minute default polling interval (--poll-seconds = 180), and an optional --prefer-imax flag to prefer IMAX showings.
• Added notification hooks: system audio alerts (winsound on Windows, osascript on macOS, terminal bell fallback) and optional Pushbullet/Telegram API calls, plus best-effort browser foregrounding and a keep_session_alive loop for manual payment.
• Added sample_selectors.json as a selectors template, SELECTOR_GUIDE.md with instructions to find stable CSS selectors, and requirements.txt listing selenium, selenium-stealth, webdriver-manager, and requests.

Testing

• Compiled the script to validate syntax with python -m py_compile michael_jackson_ticket_bot.py and the compilation succeeded.
• No site-specific runtime tests were executed because selectors must be customized per target page and live-site interactions depend on the ticketing site behavior.

Codex Task