Redirecting...
SemanticMarker - Structured Data Markup

Results

1 Entities | 1 Marked | 0 Connections

| 0 credit left

URL: http://smolpets.ru

Configure your site

JSON MARKUP MICRODATA MARKUP TEXT & ENTITIES

JSON MARKUP

Use Google Structured Data Testing tool to test this markup

Note : Semantic Markup has been restricted to first entities as you are not logged in.

<script type="application/ld+json">{"@context":"https://schema.org","@type": "WebPage","@id":"#main","mainEntityOfPage":{"@type":"WebPage", "@id":"http://smolpets.ru"}, "headline":"","description":"Â smolpets.ru  Â***","about":[{"@type": "Thing","name": "Veterinary","sameAs": ["https://en.wikipedia.org/wiki/Veterinary_medicine", "https://www.wikidata.org/wiki/Q170201"]}],"author":{"@type":"Organization","url":"/","name":"/"},"publisher":{"@type":"Organization", "name":"/", "url":"/", "logo": {"@type": "ImageObject", "url": "http://www.example.com", "width": 4, "height": 97}},"datePublished":"2025-05-11T11:16:28","dateModified":"2025-05-11T11:16:28"}</script>

100% ACCURACY
GUARANTED !

Just ask us to configure SemanticMarker to exactly fit your content...

... and it will deliver 100% accurate detailed Schema Markup.

MICRODATA

WordEntityTypeCategoryWikidataFreq.Validate
Veterinary Veterinary medicine Thing Healthcare Q170201 100 %
<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">Veterinary</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Veterinary_medicine" />
</span>

TEXT

О животных города Смоленска

Journal of the American Veterinary<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">Veterinary</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Veterinary_medicine" />
</span> Medical...


> api_Check - TIME: 0
> api_Load - TIME: 0
> api_Format - TIME: 2.88
> api_Cat - TIME: 0.01
> api_Get - TIME: 0.04
> api_beforeFind - TIME: 0.01
> api_afterFind - TIME: 0.01
> api_afterPlaces - TIME: 0.01
> api_afterProducts - TIME: 0
> api_afterMovies - TIME: 0.02
> api_Match - TIME: 0.05
> api_Comp - TIME: 0.01
> api_Disp - TIME: 0