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SemanticMarker - Structured Data Markup

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2 Entities | 1 Marked | 0 Connections

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URL: http://best-zarabotok.ru

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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://best-zarabotok.ru"}, "headline":"Лучшие способы заработка - Обзор способов заработка в (...)","description":"Обзор способов заработка в интернете, обучающих курсов и новостей","about":[{"@type": "Thing","name": "cookies","sameAs": ["https://en.wikipedia.org/wiki/Cookie", "https://www.wikidata.org/wiki/Q13266"]}],"author":{"@type":"Organization","url":"/","name":"/"},"publisher":{"@type":"Organization", "name":"/", "url":"/", "logo": {"@type": "ImageObject", "url": "http://www.example.com", "width": 4, "height": 97}},"datePublished":"2025-05-09T11:44:00","dateModified":"2025-05-09T11:44:00"}</script>

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MICRODATA

WordEntityTypeCategoryWikidataFreq.Validate
cookies Cookie Thing Food and Beverages Q13266 100 %
<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">cookies</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Cookie" />
</span>

Rejected entities (see configuration)

Marketing and Advertising: Website (=> Website)

TEXT

Лучшие способы заработка - Обзор способов заработка в интернете, обучающих курсов и новостей

Лучшие способы заработка - Обзор способов заработка в интернете, обучающих курсов и новостей

This website uses cookies<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">cookies</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Cookie" />
</span> to improve user experience. By continuing to use the site, you consent to the use of cookies.


> api_Check - TIME: 0
> api_Load - TIME: 0
> api_Format - TIME: 2.26
> api_Cat - TIME: 0.01
> api_Get - TIME: 0.03
> api_beforeFind - TIME: 0
> api_afterFind - TIME: 0.01
> api_afterPlaces - TIME: 0
> api_afterProducts - TIME: 0
> api_afterMovies - TIME: 0
> api_Match - TIME: 0.02
> api_Comp - TIME: 0.01
> api_Disp - TIME: 0