laufhaus-casabianca.at Tech Stack
laufhaus-casabianca.at uses 27 technologies across 17 categories, including Apache, Apache HTTP Server, WordPress, Slider Revolution, All in One SEO. The site is classified as E-commerce & Retail. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: E-commerce & Retail (85% confidence)
Technologies detected on laufhaus-casabianca.at
Infrastructure & Hosting
- Apache (100% confidence)
- Apache HTTP Server (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Visual Composer (100% confidence)
Other
- Slider Revolution (100% confidence)
- BeTheme (100% confidence)
- Open Graph (100% confidence)
- PWA (30% confidence)
WordPress
- All in One SEO (100% confidence)
- MonsterInsights (100% confidence)
- Age Gate (100% confidence)
- Jetpack (100% confidence)
- Revolution Slider (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
- Image Watermark (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
JavaScript & Frameworks
- Modernizr (100% confidence)
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- GSAP (75% confidence)
Ecommerce & Payments
- WooCommerce (100% confidence)
- Global-e (75% confidence)
Advertising & Marketing
- All in One SEO Pack (100% confidence)
- Schema.org (100% confidence)
laufhaus-casabianca.at is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T12:12:01.226Z
Frequently Asked Questions
- What technologies does laufhaus-casabianca.at use?
- laufhaus-casabianca.at uses 27 technologies including Apache, Apache HTTP Server, WordPress, Slider Revolution, All in One SEO.
- What type of website is laufhaus-casabianca.at?
- laufhaus-casabianca.at is classified as a E-commerce & Retail website.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.