html-content-analysis

What problem does it solve?

Identifies the technologies powering a website by analyzing its HTML meta tags, comments, script URLs, CSS classes, and JSON-LD structured data, so you can research, verify, or document a site quickly.

Core Features & Use Cases

• Meta generator detection: Finds <meta name="generator"> tags and extracts technology and (when present) version hints for common CMS platforms like WordPress, Drupal, Joomla, Ghost, Hugo, and others.
• HTML comment scanning: Extracts “Powered by / Generated by / Built with” clues from HTML comments to improve detection accuracy when official tags are missing.
• Script URL and framework inference: Analyzes script tag URL patterns (e.g., /wp-content/, /_next/, /_nuxt/, /static/js/) to infer frameworks, libraries, and ecosystems.
• CSS framework class detection: Detects common front-end frameworks by matching characteristic class-name patterns (e.g., Bootstrap, Tailwind CSS, Bulma, Material UI, Chakra UI, Ant Design).
• Structured data extraction: Locates and parses JSON-LD (application/ld+json) to extract @type and key signals such as Organization, Product, Article, and WebApplication.

Quick Start

Ask the AI to analyze the target URL and return the detected technologies with evidence sources from meta tags, comments, scripts, CSS classes, and JSON-LD.