# Building an Enterprise-Grade Web Metadata & Email Extractor API (<200ms) 100% Powered by Gemini AI

> Source: <https://dev.to/josejux/building-an-enterprise-grade-web-metadata-email-extractor-api-200ms-100-powered-by-gemini-ai-2k4a>
> Published: 2026-08-09 15:03:15+00:00

Hello DEV Community! 👋

I want to share a project I've been building: an ultra-fast **Web Metadata, OpenGraph & Contact Extractor API**.

Here is the interesting part: **100% of the code, architecture, optimizations, and benchmarks were engineered in partnership with Gemini AI (Antigravity)**.

Initially, 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!).

Here is how Gemini AI brought response times down by 99%:

`selectolax`

)`selectolax`

(written in C based on Lexbor engine), dropping DOM parsing times from 15ms to `httpx`

with native HTTP/2 multiplexing and stream capping at 256KB to retrieve `<head>`

tags instantly without downloading 20MB of unnecessary assets.`<script>`

, `<style>`

, and `<code>`

tags before running regexes to prevent email false positives (like `you@domain.com`

in JS templates).I opened a **free tier of 100 requests/month** on RapidAPI so the community can use it for side-projects, lead enrichment, or link preview cards:

Working with Gemini AI to build this API showed me how fast we can take an idea from zero to a production-ready, monetization-capable SaaS.

I’d love to get your feedback, suggestions, or feature requests! What do you think about AI-driven API development? Let me know in the comments below!
