pehlivanidis.gr Tech Stack
pehlivanidis.gr uses 28 technologies across 20 categories, including HTTP/3, LiteSpeed, PHP, WordPress, WooCommerce. 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 pehlivanidis.gr
Other
- HTTP/3 (100% confidence)
- Open Graph (100% confidence)
Infrastructure & Hosting
- LiteSpeed (100% confidence)
- WP Performance Score Booster (100% confidence)
Development Tools
- PHP (100% confidence)
- Python (80% confidence)
- Priority Hints (40% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Page Builder (100% confidence)
Ecommerce & Payments
- WooCommerce (100% confidence)
- Easy Video Player (100% confidence)
- YITH WooCommerce Catalog Mode (100% confidence)
JavaScript & Frameworks
- Bootstrap (100% confidence)
- Fancybox (100% confidence)
- Panel (100% confidence)
- Underscore.js (100% confidence)
- Bokeh (80% confidence)
- Masonry (75% confidence)
WordPress
- Contact Form 7 (100% confidence)
- SiteOrigin Page Builder (100% confidence)
Communication & Engagement
- Facebook Like Button (100% confidence)
- Facebook SDK (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
- Firelight Lightbox (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- Schema.org (100% confidence)
pehlivanidis.gr is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T12:12:25.502Z
Frequently Asked Questions
- What technologies does pehlivanidis.gr use?
- pehlivanidis.gr uses 28 technologies including HTTP/3, LiteSpeed, PHP, WordPress, WooCommerce.
- What type of website is pehlivanidis.gr?
- pehlivanidis.gr 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.