swfast.com.br Tech Stack
swfast.com.br uses 29 technologies across 17 categories, including HTTP/3, LiteSpeed, WordPress, Elementor, Elementor Pro. The site is classified as Food & Restaurant. 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: Food & Restaurant (65% confidence)
Technologies detected on swfast.com.br
Other
- HTTP/3 (100% confidence)
- Open Graph (100% confidence)
- Microsoft 365 (100% confidence)
Infrastructure & Hosting
- LiteSpeed (100% confidence)
- Amazon Route 53 (100% confidence)
- Amazon Web Services (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Elementor (100% confidence)
- Elementor Pro (100% confidence)
Media & Content
- Font Awesome (100% confidence)
- Twitter Emoji (Twemoji) (75% confidence)
Analytics & Tracking
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
- Google Analytics (100% confidence)
- GTM4WP (100% confidence)
- Site Kit by Google (100% confidence)
Communication & Engagement
- WhatsApp Chat Widget (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- RD Station (100% confidence)
- Schema.org (100% confidence)
WordPress
- Google Tag Manager for WordPress (100% confidence)
- Elementor Header & Footer Builder (100% confidence)
JavaScript & Frameworks
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- Swiper (100% confidence)
- Lottie (75% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
swfast.com.br is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T14:48:02.211Z
Frequently Asked Questions
- What technologies does swfast.com.br use?
- swfast.com.br uses 29 technologies including HTTP/3, LiteSpeed, WordPress, Elementor, Elementor Pro.
- What type of website is swfast.com.br?
- swfast.com.br is classified as a Food & Restaurant 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.