Google Browser Scraper is a self-hosted SERP API that gets Google results from a real Chrome browser and your own residential proxy, because plain HTTP scraping is refused and a fresh browser on a fresh IP is refused almost as fast. It warms a sticky proxy session with ordinary browsing first, lets the browser pass Google's checks, and then switches to a hybrid mode that fetches results pages directly over HTTPS with the browser's own cookies, at about 0.4 MB and 1.4 seconds per search on a warm IP. Every page comes back as SERP-style JSON with organic results, ads, related questions, related searches, pagination, the AI Overview, and local results. If a proxy IP starts serving poisoned pages for some other query, the scraper catches it within a few pages, drops that IP, and asks the query again on a fresh one. Captchas and blocks are reported as captchas and blocks, never disguised as an empty result set, so your pipeline knows when to retry or rotate. Run it as a CLI for keyword files, import it as a Python library, serve it as a local HTTP API, or expose the MCP server so AI agents get live Google search. Every run ends with a traffic and cost summary per thousand pages, and any sticky residential proxy works, with NodeMaven sessions handled for you. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.