Trends

Trending in Italy
on Sep 29, 2023

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

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Image credits: CC BY-SA 2.0 Greta
  1. IT
    Alexis Beka Beka
    new
  2. IT
    Michael
    new
  3. IT
    Michael Gambon
    - 244%
  4. EN
    denial-of-service attack
    new
  5. IT
    Phlegraean Fields
    - 75%
  6. IT
    Papu Gómez
    + 34%
  7. IT
    The Martian
    new
  8. IT
    Fedez
    new
  9. IT
    Facebook
    + 4%
  10. IT
    Irene Cara
    new
  11. IT
    2023 Rugby World Cup
    + 43%
  12. IT
    Albert Guðmundsson
    + 48%
  13. IT
    Full Metal Jacket
    new
  14. IT
    Stefania Rotolo
    new
  15. IT
    Angelina Mango
    new
  16. IT
    Giovanna Mezzogiorno
    new
  17. IT
    Jasmine
    new
  18. IT
    Federico Marchetti
    new
  19. IT
    Richard Harris
    - 188%
  20. IT
    Scialpi
    new
  21. IT
    Ryder Cup
    new
  22. IT
    Four days of Naples
    new
  23. IT
    Francesca Fagnani
    - 75%
  24. IT
    Sex Education
    - 16%
  25. IT
    Gaudiano
    new
  26. IT
    SSC Napoli
    - 99%
  27. IT
    RAI
    - 13%
  28. IT
    Wes Anderson
    - 3%
  29. IT
    Asteroid City
    - 3%
  30. IT
    Alex Belli
    new
  31. IT
    Mateo Retegui
    - 6%
  32. IT
    Gennaro Gattuso
    new
  33. IT
    Aloha
    new
  34. IT
    Laura Valente
    new
  35. IT
    Wanda Osiris
    new
  36. IT
    Vasco Rossi
    - 5%
  37. IT
    Pino Insegno
    - 14%
  38. IT
    David McCallum
    + 8%
  39. IT
    Gen V
    new
  40. IT
    Samir Nasri
    new
  41. IT
    Albus Dumbledore
    - 226%
  42. IT
    Oppenheimer
    + 6%
  43. IT
    Armando Sommajuolo
    - 338%
  44. IT
    Adel Taarabt
    new
  45. IT
    Kula Shaker
    new
  46. IT
    Domenico Berardi
    - 164%
  47. IT
    Rugby World Cup
    new
  48. IT
    29 settembre
    new
  49. IT
    Nero
    - 177%
  50. IT
    Marzabotto massacre
    new
Those data refers to the most visited pages on Wikipedia from Italy on Sep 29, 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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