Trends

Trending in Italy
on Sep 30, 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 Gage Skidmore
  1. IT
    Ketty Roselli
    new
  2. IT
    SSC Napoli
    + 76%
  3. IT
    Barry Lyndon
    new
  4. IT
    Lautaro Martínez
    new
  5. IT
    Facebook
    - 1%
  6. IT
    Papu Gómez
    - 24%
  7. IT
    Daniel Radcliffe
    new
  8. IT
    Phlegraean Fields
    - 68%
  9. IT
    2023 Rugby World Cup
    - 35%
  10. IT
    Yacine Adli
    new
  11. IT
    Ryder Cup
    + 19%
  12. IT
    Gennaro Gattuso
    + 32%
  13. IT
    Enrico Caruso
    new
  14. IT
    Fedez
    - 53%
  15. IT
    Gianluca Gaetano
    new
  16. IT
    Michael Gambon
    - 133%
  17. IT
    Brubaker
    new
  18. IT
    Asteroid City
    + 19%
  19. IT
    Wes Anderson
    + 16%
  20. IT
    David McCallum
    + 21%
  21. IT
    Cugini di Campagna
    new
  22. IT
    RAI
    - 1%
  23. IT
    Noah Okafor
    new
  24. IT
    Oppenheimer
    + 23%
  25. IT
    Sex Education
    - 6%
  26. IT
    Vasco Rossi
    + 6%
  27. IT
    Guglielmo Marconi
    new
  28. IT
    Achille Occhetto
    new
  29. IT
    Il camorrista
    new
  30. IT
    Gen V
    + 5%
  31. IT
    Paulo Sousa
    new
  32. IT
    Rocky III
    new
  33. IT
    Tupac Shakur
    new
  34. IT
    Rosanna Lambertucci
    new
  35. IT
    Vera Gheno
    new
  36. IT
    Inter Milan
    new
  37. IT
    Davy Klaassen
    new
  38. IT
    Italy
    new
  39. IT
    Nagorno-Karabakh
    new
  40. IT
    Lino Guanciale
    new
  41. IT
    A Haunting in Venice
    new
  42. IT
    Sandra Milo
    new
  43. IT
    Adel Taarabt
    - 2%
  44. IT
    The Creator
    new
  45. IT
    Francesca Fagnani
    - 51%
  46. IT
    Christian Pulisic
    new
  47. IT
    Tulip Fever
    new
  48. IT
    Taty Castellanos
    new
  49. IT
    Leo Skiri Østigård
    new
  50. IT
    Raffaele Cutolo
    new
Those data refers to the most visited pages on Wikipedia from Italy on Sep 30, 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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