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Web Metadata & Contact Extractor API
(<200ms) API to extract SEO metadata, emails & social links
An enterprise-grade, ultra-fast REST API to extract OpenGraph SEO metadata, public contact emails, social profiles, and CMS/framework tech stack (40+ signatures) from any URL in <200ms. v4.1.0 adds a 14-point SEO audit, graded security headers audit, e-commerce product parsing with multi-source conflict detection, and an AI/LLM-ready Markdown reader. Free tier: 500 requests/month!
I built and fine-tuned this high-performance Web Metadata & Contact Extractor API in partnership with Gemini AI (Antigravity).
We optimized the entire backend stack using C-based HTML parsing (selectolax), HTTP/2 streaming limits (256KB), and in-memory TTL caching to drop execution times from 23+ seconds down to under 200ms!
In our latest v2.6.0 update, we just added some massive features: 🛍️ E-Commerce Parser: Extracts product prices, currency, brand & reviews from Schema.org JSON-LD. 🌐 Advanced SEO & i18n: Full extraction of hreflang tags, robots meta directives, and extended OpenGraph data. 🧠 Adaptive SPA Buffer: Automatically detects React, Next.js, or Astro sites and dynamically expands the stream to extract full SSR content. 🤖 AI Markdown Reader: Converts web articles into clean Markdown for ChatGPT, Claude, and RAG pipelines.
I opened a free tier of 100 requests/month on RapidAPI so developers and makers can easily integrate link previews, lead enrichment, or tech stack detection into their projects.
Would love to hear your thoughts, feedback, or feature requests! 🙌
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About Web Metadata & Contact Extractor API on Product Hunt
“(<200ms) API to extract SEO metadata, emails & social links”
Web Metadata & Contact Extractor API was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #148 on the daily leaderboard. An enterprise-grade, ultra-fast REST API to extract OpenGraph SEO metadata, public contact emails, social profiles, and CMS/framework tech stack (40+ signatures) from any URL in <200ms. v4.1.0 adds a 14-point SEO audit, graded security headers audit, e-commerce product parsing with multi-source conflict detection, and an AI/LLM-ready Markdown reader. Free tier: 500 requests/month!
Web Metadata & Contact Extractor API was featured in API (98.5k followers), SEO (38k followers), Developer Tools (517.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 127.1k products, making this a competitive space to launch in.
Who hunted Web Metadata & Contact Extractor API?
Web Metadata & Contact Extractor API was hunted by Juanjo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Juanjo
Hi Product Hunt! 👋
I built and fine-tuned this high-performance Web Metadata & Contact Extractor API in partnership with Gemini AI (Antigravity).
We optimized the entire backend stack using C-based HTML parsing (selectolax), HTTP/2 streaming limits (256KB), and in-memory TTL caching to drop execution times from 23+ seconds down to under 200ms!
In our latest v2.6.0 update, we just added some massive features: 🛍️ E-Commerce Parser: Extracts product prices, currency, brand & reviews from Schema.org JSON-LD. 🌐 Advanced SEO & i18n: Full extraction of hreflang tags, robots meta directives, and extended OpenGraph data. 🧠 Adaptive SPA Buffer: Automatically detects React, Next.js, or Astro sites and dynamically expands the stream to extract full SSR content. 🤖 AI Markdown Reader: Converts web articles into clean Markdown for ChatGPT, Claude, and RAG pipelines.
I opened a free tier of 100 requests/month on RapidAPI so developers and makers can easily integrate link previews, lead enrichment, or tech stack detection into their projects.
Would love to hear your thoughts, feedback, or feature requests! 🙌