Trends

Trending in Italy
on Dec 3, 2023

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

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  1. IT
    SSC Napoli
    + 48%
  2. IT
    Macaulay Culkin
    + 13%
  3. IT
    Napoleon
    + 15%
  4. IT
    Belén Rodríguez
    new
  5. IT
    Woody Allen
    new
  6. IT
    Alessandro Meluzzi
    new
  7. IT
    Pornhub
    - 9%
  8. IT
    Sleepers
    - 43%
  9. IT
    Facebook
    - 1%
  10. IT
    There Is Still Tomorrow
    + 4%
  11. IT
    La Sad
    new
  12. IT
    Hacksaw Ridge
    new
  13. IT
    UEFA Euro 2024
    - 119%
  14. IT
    Harry Potter and the Half-Blood Prince
    new
  15. IT
    Walter Mazzarri
    new
  16. IT
    Maria Callas
    - 71%
  17. IT
    Eleonora Giorgi
    new
  18. IT
    Roberto Vannacci
    new
  19. IT
    Napoleon
    + 4%
  20. IT
    Brenda Song
    + 3%
  21. IT
    Joséphine de Beauharnais
    + 18%
  22. EN
    Paolo Macchiarini
    + 9%
  23. IT
    Rose Villain
    new
  24. IT
    Federica Brignone
    new
  25. IT
    XNXX.com
    - 3%
  26. IT
    Angelina Mango
    new
  27. IT
    Rosanna Fratello
    - 42%
  28. IT
    Ornella Vanoni
    new
  29. IT
    RAI
    + 30%
  30. IT
    Don Carlos
    + 32%
  31. IT
    Sanremo Music Festival 2023
    new
  32. IT
    Endeavour, season 7
    new
  33. IT
    Zecchino d’Oro 2023
    new
  34. IT
    Ilary Blasi
    new
  35. IT
    Endeavour
    new
  36. IT
    Wanda Nara
    - 156%
  37. IT
    Lorenzo Lucca
    new
  38. IT
    Lea
    new
  39. IT
    Un professore
    - 5%
  40. IT
    Luka Jović
    - 20%
  41. IT
    Sanremo Music Festival
    new
  42. IT
    Desmond Doss
    new
  43. IT
    Harry Potter
    new
  44. IT
    L'ora della verità
    new
  45. IT
    Henry Kissinger
    - 65%
  46. IT
    Inter Milan
    new
  47. IT
    Abbey of Santa Giustina
    new
  48. IT
    Italy
    stable
  49. IT
    Awakenings
    new
  50. IT
    Dino Meneghin
    new
Those data refers to the most visited pages on Wikipedia from Italy on Dec 3, 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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