myfamilyfever.co.uk Tech Stack
myfamilyfever.co.uk uses 30 technologies across 19 categories, including Nginx, Google Search Console, WordPress, Cookiebot, cdnjs. The site is classified as Blog & Personal. 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: Blog & Personal (100% confidence)
Technologies detected on myfamilyfever.co.uk
Infrastructure & Hosting
- Nginx (100% confidence)
- cdnjs (100% confidence)
Advertising & Marketing
- Google Search Console (100% confidence)
- Google Ads (100% confidence)
- Google AdSense (100% confidence)
- Yoast SEO (100% confidence)
- Amazon Ads (100% confidence)
- Amazon Advertising (100% confidence)
- Schema.org (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Gutenberg (100% confidence)
- Tumblr (100% confidence)
- WordPress Block Editor (100% confidence)
Analytics & Tracking
- Cookiebot (100% confidence)
- Mailmunch (75% confidence)
Media & Content
- Font Awesome (100% confidence)
- Google Font API (100% confidence)
WordPress
- MonsterInsights (100% confidence)
- Quick Page/Post Redirect Plugin (100% confidence)
JavaScript & Frameworks
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
- spin.js (100% confidence)
Security & Privacy
- Spam protection, Honeypot, Anti-Spam (100% confidence)
- Noticeable (75% confidence)
Other
- Twitter (100% confidence)
- Open Graph (100% confidence)
- BDOW (75% confidence)
Communication & Engagement
- Twitter Widget (100% confidence)
myfamilyfever.co.uk is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T12:12:30.787Z
Frequently Asked Questions
- What technologies does myfamilyfever.co.uk use?
- myfamilyfever.co.uk uses 30 technologies including Nginx, Google Search Console, WordPress, Cookiebot, cdnjs.
- What type of website is myfamilyfever.co.uk?
- myfamilyfever.co.uk is classified as a Blog & Personal 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.