I need a small, self-contained Python solution that can pull the latest Google Maps reviews for any Place ID I supply (example: 0xabd7d97b958595a8). Until recently I relied on an undocumented endpoint, but that call now comes back empty unless a logged-in cookie is present. Rather than shifting to the official Google Maps API, I want to continue scraping over plain HTTP requests so I can later fan this out to hundreds of thousands—or even millions—of IDs per day. Here is what I need from you: • A requests-based script or module (no Selenium, Playwright, or headless browsers) that successfully returns review data in JSON or Python objects. • A method for overcoming the new authentication hurdle. My preferred route is to rotate proxies to mask requests, but I’m open to any lightweight header or token strategy that keeps the workflow purely requests-driven. • Clear instructions so I can plug in a list of Place IDs, point the code at my proxy pool, and receive parsed reviews ready for storage. Please demonstrate the solution against at least one live Place ID so I can confirm the reviews come through without manual login. If any rate-limiting or anti-bot signals still surface, include recommendations for timing, proxy rotation, or header randomization to keep the scraper stable at scale.