Trends

Trending in Italy
on Sep 28, 2023

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

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  1. IT
    Michael Gambon
    new
  2. IT
    Phlegraean Fields
    - 7%
  3. IT
    Richard Harris
    new
  4. IT
    Armando Sommajuolo
    new
  5. IT
    Albus Dumbledore
    new
  6. IT
    Nero
    new
  7. IT
    SSC Napoli
    - 128%
  8. IT
    Domenico Berardi
    + 44%
  9. IT
    Facebook
    + 1%
  10. IT
    Godzilla vs. Kong
    new
  11. IT
    Francesca Fagnani
    - 17%
  12. EN
    OSIRIS-REx
    new
  13. IT
    Massimiliano Varrese
    new
  14. IT
    Papu Gómez
    new
  15. IT
    Unhinged
    new
  16. IT
    The Next Three Days
    new
  17. IT
    Antonio Ligabue
    new
  18. IT
    Ian McKellen
    new
  19. IT
    Sex Education
    - 8%
  20. IT
    Maria Corleone
    - 90%
  21. IT
    RAI
    + 12%
  22. IT
    2023 Rugby World Cup
    + 32%
  23. IT
    Teodosio Losito
    new
  24. IT
    Wes Anderson
    new
  25. IT
    Matteo Messina Denaro
    - 97%
  26. IT
    Mateo Retegui
    new
  27. IT
    Asteroid City
    new
  28. IT
    Nagorno-Karabakh
    new
  29. IT
    Albert Guðmundsson
    new
  30. IT
    Pino Insegno
    new
  31. IT
    Beatrice Luzzi
    new
  32. IT
    Vasco Rossi
    + 23%
  33. IT
    Monte Nuovo
    new
  34. IT
    Fabrizio Corona
    - 20%
  35. IT
    Yacine Adli
    + 13%
  36. IT
    Enrico Mentana
    stable
  37. EN
    Michael Gambon
    new
  38. IT
    St. Vincent
    new
  39. IT
    Giorgio Napolitano
    - 111%
  40. IT
    The Wonderful Story of Henry Sugar
    new
  41. IT
    Blue
    - 157%
  42. IT
    INPS
    new
  43. IT
    David McCallum
    - 100%
  44. IT
    Poppaea Sabina
    new
  45. IT
    Joan of Arc
    new
  46. IT
    Anna Magnani
    - 83%
  47. IT
    Francesco Vezzoli
    new
  48. IT
    Ahsoka
    - 43%
  49. IT
    Oppenheimer
    - 12%
  50. IT
    Annalisa
    new
Those data refers to the most visited pages on Wikipedia from Italy on Sep 28, 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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