Trends

Trending in Italy
on Sep 21, 2023

The most searched Wikipedia pages in Italy: discover what people are looking for!

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  1. IT
    Anne Frank
    new
  2. IT
    Ivan Provedel
    - 426%
  3. IT
    Moana Pozzi
    new
  4. IT
    Giorgio Napolitano
    - 60%
  5. IT
    F.C. Sheriff
    new
  6. IT
    Oppenheimer
    - 9%
  7. IT
    Facebook
    - 5%
  8. IT
    A Haunting in Venice
    - 7%
  9. IT
    Nagorno-Karabakh
    - 28%
  10. IT
    Sex Education
    new
  11. IT
    Audrey Hepburn
    new
  12. IT
    Beatrice Luzzi
    new
  13. IT
    2023 Rugby World Cup
    - 31%
  14. IT
    Righteous Kill
    new
  15. IT
    Tenet
    - 300%
  16. IT
    Gianni Vattimo
    - 229%
  17. IT
    Massimiliano Varrese
    new
  18. IT
    SSC Napoli
    - 98%
  19. IT
    Giancarlo Siani
    new
  20. IT
    YouTube
    stable
  21. IT
    Death Becomes Her
    new
  22. IT
    Christian Greco
    new
  23. IT
    Lock Up
    new
  24. IT
    Roberto Bordin
    new
  25. IT
    Matthew the Apostle
    new
  26. IT
    Maria Corleone
    - 145%
  27. IT
    Robert Oppenheimer
    new
  28. EN
    Mamadou N'Diaye
    new
  29. IT
    Otto Frank
    new
  30. IT
    Fort Apache Napoli
    new
  31. IT
    Io capitano
    new
  32. IT
    list of One Piece episodes
    - 10%
  33. IT
    Bobby Jones
    new
  34. IT
    Chicago Fire
    new
  35. IT
    One Piece
    - 10%
  36. IT
    Nemanja Radonjić
    - 86%
  37. IT
    Ahsoka
    - 57%
  38. IT
    Luca Ranieri
    new
  39. IT
    Chicago Fire, season 11
    new
  40. IT
    RAI
    + 2%
  41. IT
    Armenia
    - 2%
  42. IT
    Prichard Colón
    - 64%
  43. IT
    Libero De Rienzo
    new
  44. IT
    Grecia Colmenares
    new
  45. IT
    Italy
    new
  46. IT
    Rosario Livatino
    new
  47. IT
    Bernard Tapie
    new
  48. IT
    Tiraspol
    new
  49. IT
    Raków Częstochowa
    new
  50. IT
    Last Night of Amore
    new
Those data refers to the most visited pages on Wikipedia from Italy on Sep 21, 2023.
The green, red and yellow indicators on each row are based on data from the day before: to get insights about the historical records, click here.
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