lr-mediconsult.de Tech Stack
lr-mediconsult.de uses 29 technologies across 18 categories, including Apache, Apache HTTP Server, PHP, UNIX, WordPress. 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 lr-mediconsult.de
Infrastructure & Hosting
- Apache (100% confidence)
- Apache HTTP Server (100% confidence)
- UNIX (100% confidence)
Development Tools
- PHP (100% confidence)
- Priority Hints (25% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- wpBakery (100% confidence)
Other
- Slider Revolution (100% confidence)
WordPress
- Contact Form 7 (100% confidence)
- Revolution Slider (100% confidence)
- BST DSGVO Cookie (100% confidence)
- Photo Gallery (100% confidence)
- WPML (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
Analytics & Tracking
- Matomo (100% confidence)
- Matomo Analytics (75% confidence)
Ecommerce & Payments
- WooCommerce (100% confidence)
JavaScript & Frameworks
- Bootstrap (100% confidence)
- Chosen (100% confidence)
- Ember.js (100% confidence)
- imagesLoaded (100% confidence)
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- Owl Carousel (100% confidence)
Communication & Engagement
- Front End PM (100% confidence)
Security & Privacy
- reCAPTCHA (100% confidence)
lr-mediconsult.de is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T13:16:22.302Z
Frequently Asked Questions
- What technologies does lr-mediconsult.de use?
- lr-mediconsult.de uses 29 technologies including Apache, Apache HTTP Server, PHP, UNIX, WordPress.
- What type of website is lr-mediconsult.de?
- lr-mediconsult.de 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.