Visualize structured data and compare Google and Yandex diagnostics
Extract Schema.org from a page, find issues, compare search-engine scenarios and create a separate improved JSON-LD version without invented data.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Awesome Widget",
"offers": { "@type": "Offer" }
}SchemaCat features
From a URL to understandable diagnostics and ready JSON-LD.
Extract from URL
Fetch a public page and detect existing JSON-LD blocks.
JSON-LD Editor
Code editor with syntax highlighting, line numbers and formatting.
Page type detection
Product requires explicit product signals; Article, Service and WebPage are handled separately.
Issues and recommendations
See what is missing, where values came from and what can be fixed.
Google vs Yandex
Separate diagnostic rules and visual scenarios.
Separate improved version
The source JSON remains unchanged while an improved version is generated separately.
How it works
Enter a URL
Provide a public page URL.
Extract data
The parser reads JSON-LD, meta and DOM data.
Compare
Review issues and Google / Yandex differences.
Improve and download
Get a separate JSON file or ready script.
Practical Schema.org guides
To make analysis easier to understand, we maintain focused guides for common structured-data types. They explain not only syntax, but also which page data can be used safely.
Why a score should not always be 100%
A good generator should not invent a price, rating, author or brand just to reach a high score. If a value does not exist in the source Schema.org or DOM, SchemaCat reports it separately and explains what needs to be supplied manually.