{"slug": "building-an-enterprise-grade-web-metadata-email-extractor-api-200ms-100-powered", "title": "Building an Enterprise-Grade Web Metadata & Email Extractor API (<200ms) 100% Powered by Gemini AI", "summary": "A developer built an enterprise-grade Web Metadata, OpenGraph & Contact Extractor API, with 100% of the code, architecture, and optimizations engineered in partnership with Gemini AI (Antigravity). The collaboration refactored the backend to cut response times from over 23 seconds to under 200ms (0.05ms on cache hits), using selectolax for fast DOM parsing and httpx with HTTP/2 multiplexing. The developer opened a free tier of 100 requests/month on RapidAPI for community use.", "body_md": "Hello DEV Community! 👋\n\nI want to share a project I've been building: an ultra-fast **Web Metadata, OpenGraph & Contact Extractor API**.\n\nHere is the interesting part: **100% of the code, architecture, optimizations, and benchmarks were engineered in partnership with Gemini AI (Antigravity)**.\n\nInitially, heavy web scraping took up to 23+ seconds on bloated websites. Working together with Gemini AI, we refactored and optimized the entire backend step-by-step to achieve **enterprise-grade performance under 200ms** (and 0.05ms on cache hits!).\n\nHere is how Gemini AI brought response times down by 99%:\n\n`selectolax`\n\n)`selectolax`\n\n(written in C based on Lexbor engine), dropping DOM parsing times from 15ms to `httpx`\n\nwith native HTTP/2 multiplexing and stream capping at 256KB to retrieve ``\n\ntags instantly without downloading 20MB of unnecessary assets.`