Trends

Trending in Italy
on Mar 12, 2024

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

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  1. IT
    Luca Nardi
    new
  2. IT
    Robert Downey Jr.
    - 142%
  3. IT
    Oppenheimer
    - 328%
  4. IT
    Rocco Siffredi
    - 24%
  5. IT
    Emma Stone
    - 260%
  6. IT
    Lamine Yamal
    new
  7. IT
    Poor Things
    - 212%
  8. IT
    Maurizio Sarri
    new
  9. IT
    The Zone of Interest
    - 232%
  10. IT
    Montjuic Olympic Stadium
    new
  11. IT
    96th Academy Awards
    - 728%
  12. IT
    Tommaso Rocchi
    new
  13. EN
    Indian Wells Open
    - 10%
  14. IT
    Cillian Murphy
    - 308%
  15. IT
    Miroslav Klose
    new
  16. IT
    João Cancelo
    new
  17. IT
    2025 FIFA Club World Cup
    new
  18. IT
    Still Life
    new
  19. IT
    Moana Pozzi
    - 17%
  20. IT
    Facebook
    stable
  21. IT
    Francesco Calzona
    new
  22. IT
    Fantasy Island
    new
  23. IT
    fentanyl
    new
  24. IT
    Novak Djokovic
    new
  25. IT
    Jannik Sinner
    - 13%
  26. IT
    Supersex
    - 17%
  27. IT
    SSC Napoli
    - 12%
  28. IT
    Al posto tuo
    new
  29. IT
    Ryan Gosling
    - 74%
  30. IT
    Christopher Nolan
    - 365%
  31. IT
    FIFA Club World Cup
    new
  32. IT
    Robert Oppenheimer
    - 185%
  33. IT
    Indian Wells Open
    new
  34. IT
    Rosa Caracciolo
    - 10%
  35. IT
    Shōgun
    new
  36. IT
    Dune
    - 46%
  37. IT
    Eric Carmen
    new
  38. IT
    Robert Lewandowski
    new
  39. IT
    Ramadan
    - 62%
  40. IT
    FC Barcelona
    new
  41. IT
    Alessandro Borghi
    new
  42. IT
    Io capitano
    - 279%
  43. IT
    Akira Toriyama
    - 60%
  44. IT
    RAI
    new
  45. IT
    Luca Gotti
    - 111%
  46. IT
    Raphinha
    new
  47. IT
    Pau Cubarsí
    new
  48. IT
    Anatomy of a Fall
    - 180%
  49. IT
    Dune: Part Two
    - 43%
  50. IT
    Rose Villain
    new
Those data refers to the most visited pages on Wikipedia from Italy on Mar 12, 2024.
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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