castlegarnews.com Tech Stack
castlegarnews.com uses 102 technologies across 22 categories, including Nginx, WordPress, Google Analytics, Google Analytics 4, Google Tag Manager. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Technologies detected on castlegarnews.com
Infrastructure & Hosting
- Nginx (100% confidence)
- Cloudflare (100% confidence)
- Fastly (30% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Analytics & Tracking
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
- Parse.ly (100% confidence)
- Sendgrid (100% confidence)
WordPress
- Perfmatters (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- Hashtag Labs (100% confidence)
- Schema.org (100% confidence)
- Taboola (100% confidence)
- 152 Media (100% confidence)
- AMX RTB (100% confidence)
- Ad Generation (100% confidence)
- AdYouLike (100% confidence)
- Adelement (100% confidence)
- Adform (100% confidence)
- Adman Media (100% confidence)
- Admixer (100% confidence)
- Advertising.com (100% confidence)
- Amazon Publisher Services (100% confidence)
- AppNexus (100% confidence)
- Axonix (100% confidence)
- Beachfront (100% confidence)
- Colossus SSP (100% confidence)
- Condenast (100% confidence)
- Contextweb (100% confidence)
- Conversant (100% confidence)
- Copper6 (100% confidence)
- Criteo (100% confidence)
- District M (100% confidence)
- E Planning (100% confidence)
- EMX Digital (100% confidence)
- Eskimi (100% confidence)
- FreeWheel (100% confidence)
- Google AdSense (100% confidence)
- GroundTruth (100% confidence)
- GumGum (100% confidence)
- Improve Digital (100% confidence)
- InMobi (100% confidence)
- Index Exchange (100% confidence)
- Infolinks (100% confidence)
- Insticator (100% confidence)
- Kargo (100% confidence)
- Krush Media (100% confidence)
- Kueez (100% confidence)
- LoopMe (100% confidence)
- MGID (100% confidence)
- Magnite (100% confidence)
- Media.net (100% confidence)
- Mediafuse (100% confidence)
- Minute Media (100% confidence)
- Nativo (100% confidence)
- Ogury (100% confidence)
- OneTag (100% confidence)
- OpenX (100% confidence)
- Opera Ads (100% confidence)
- PubMatic (100% confidence)
- RhythmOne (100% confidence)
- Rich Audience (100% confidence)
- Rise Codes (100% confidence)
- Rubicon Project (100% confidence)
- Seedtag (100% confidence)
- Sharethrough (100% confidence)
- Smaato (100% confidence)
- Smart AdServer (100% confidence)
- Smilewanted (100% confidence)
- Sonobi (100% confidence)
- Sovrn (100% confidence)
- SpotX (100% confidence)
- StartApp (100% confidence)
- 33Across (100% confidence)
- Telaria (100% confidence)
- The Media Grid (100% confidence)
- TripleLift (100% confidence)
- Triplelift Native (100% confidence)
- Trusted Stack (100% confidence)
- Undertone (100% confidence)
- Unruly (100% confidence)
- Verve Group (100% confidence)
- Vidazoo (100% confidence)
- Xandr (100% confidence)
- Yahoo DSP (100% confidence)
- Yahoo Gemini (100% confidence)
- YieldMo (100% confidence)
- Zeta Global (100% confidence)
- Zeta Global DSP (100% confidence)
- Yahoo Advertising (80% confidence)
Other
- Metronet Profile Picture (100% confidence)
- Open Graph (100% confidence)
- Admiral (75% confidence)
Communication & Engagement
- ShareThis (100% confidence)
JavaScript & Frameworks
- Splide (100% confidence)
- timeago (100% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
Media & Content
- Twitter Emoji (Twemoji) (75% confidence)
castlegarnews.com is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T14:51:59.707Z
Frequently Asked Questions
- What technologies does castlegarnews.com use?
- castlegarnews.com uses 102 technologies including Nginx, WordPress, Google Analytics, Google Analytics 4, Google Tag Manager.
- 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.