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JSON MARKUP

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<script type="application/ld+json">{"@context":"https://schema.org","@type": "WebPage","@id":"#main","mainEntityOfPage":{"@type":"WebPage", "@id":"http://odamah.ru"}, "headline":"","description":"19 ?????? 2024 ????","about":[],"author":{"@type":"Organization","url":"/","name":"/"},"publisher":{"@type":"Organization", "name":"/", "url":"/", "logo": {"@type": "ImageObject", "url": "http://www.example.com", "width": 4, "height": 97}},"datePublished":"2024-04-20T00:14:26","dateModified":"2024-04-20T00:14:26"}</script>

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MICRODATA

WordEntityTypeCategoryWikidataFreq.Validate

TEXT

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??? ??????? ?????? ????: 9 ?????? ???????

????, ????? ?? ????????? ??????? ??????? ??????, ??? ??????? ?? ?????????????? ???? ??????? ????? ?? ???? ?????? Woman.ru ???? ?????????? ????? ????????.

??? ????????? ????: ?????? ?? ???????????

????? ????????? ? ??????????, ??? ????? ???? ???? ? ?????????? (??????????? ? ?????? ?????????????? ???????????), ??? ????? 200 000 ???????????, ?????????????? ?????? "????? ??????-?????????? 2020" ? "????? ?? ?? ???????????? 2019". ????? ??????????, ??? ??????? ???, ????? ???? ???? ????? ?? ?????????? ? ????????? ????????.

??? ? ??????: ???????? ????????? ????? ?? ???????? ?????? ?????

???????, ? ??? ????????? ?????? ???? ??????. ?????? ? ??????? ????????????????? ????? KeyDay ???????????, ??? ????????? ??????????? ?????-?????? ??? ???????? ??????? ? ?????? ???????? ????.

??? ???????????? ????????? ????, ????? ?????? ???????? ???????????: 5 ?????

????????? ???? ????????? ?? ????????? ??????????? ??? ? ???????? ???? ? ????????? ??????????????. ?????? ????? ????????? ?? ??????????? ???????? ? ? ?????? ??????? ??????? ???? ?? ???????? ????????, ??????? ????????? ?????????????, ??????????? ? "????"? ????? ???. ??? ????????? ???????????? ????????? ????, ????? ?? ???????? ??????????? ?????????? ? ????????? ???????? ?? ???? ? ???????????? ?????? ? ??????? ????????? Vivienne Sabó.


> api_Check - TIME: 0.01
> api_Load - TIME: 0
> api_Format - TIME: 3.1
> api_Cat - TIME: 0.18
> api_Get - TIME: 0.05
> api_beforeFind - TIME: 0.01
> api_afterFind - TIME: 0.02
> api_afterPlaces - TIME: 0.01
> api_afterProducts - TIME: 0.15
> api_afterMovies - TIME: 0
> api_Match - TIME: 0.19
> api_Comp - TIME: 0.03
> api_Disp - TIME: 0.02