salernonotizie.it Tech Stack
salernonotizie.it uses 34 technologies across 20 categories, including HSTS, HTTP/3, Nginx, Varnish, WordPress. The site is classified as News & Media. 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: News & Media (90% confidence)
Technologies detected on salernonotizie.it
Other
- HTTP/3 (100% confidence)
- Gravatar (100% confidence)
- Open Graph (100% confidence)
Infrastructure & Hosting
- Nginx (100% confidence)
- Varnish (100% confidence)
- WP Rocket (100% confidence)
- LazyLoad Plugin (100% confidence)
- Fastly (40% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Analytics & Tracking
- Site Kit (100% confidence)
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
Advertising & Marketing
- DoubleClick (100% confidence)
- Google Ads (100% confidence)
- Google AdSense (100% confidence)
- Schema.org (100% confidence)
- Google Ad Manager (75% confidence)
Communication & Engagement
- Facebook Like Button (100% confidence)
- Facebook SDK (100% confidence)
- WhatsApp Chat Widget (100% confidence)
- WhatsApp Business Chat (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
JavaScript & Frameworks
- Owl Carousel (100% confidence)
- DataTables (75% confidence)
- jQuery (75% confidence)
- Select2 (75% confidence)
WordPress
- Rank Math (100% confidence)
- RankMath SEO (100% confidence)
salernonotizie.it is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T13:15:29.711Z
Frequently Asked Questions
- What technologies does salernonotizie.it use?
- salernonotizie.it uses 34 technologies including HSTS, HTTP/3, Nginx, Varnish, WordPress.
- What type of website is salernonotizie.it?
- salernonotizie.it is classified as a News & Media 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.