Trends

Trending in Italy
on Apr 17, 2024

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

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  1. IT
    Ilenia Pastorelli
    + 18%
  2. IT
    UEFA Champions League
    + 64%
  3. IT
    Carlo Ancelotti
    new
  4. IT
    Fallout
    - 9%
  5. IT
    SSC Napoli
    + 49%
  6. IT
    Strangerland
    new
  7. IT
    Andriy Lunin
    new
  8. IT
    Fallout
    - 10%
  9. IT
    Jude Bellingham
    new
  10. IT
    Sophie Kinsella
    new
  11. IT
    Real Madrid CF
    new
  12. IT
    Facebook
    - 1%
  13. IT
    Antonio Rüdiger
    new
  14. IT
    Pep Guardiola
    new
  15. IT
    Klaus Schwab
    + 47%
  16. IT
    Fury
    new
  17. IT
    Mateo Kovačić
    new
  18. IT
    Francesco Benigno
    new
  19. IT
    Jérémy Doku
    new
  20. IT
    Vanina - Un vicequestore a Catania
    new
  21. IT
    list of European Cup and UEFA Champions League finals
    new
  22. IT
    2023–24 UEFA Champions League
    new
  23. IT
    Erling Haaland
    new
  24. IT
    Antonio Benarrivo
    - 116%
  25. IT
    cloud seeding
    new
  26. IT
    Rafael Nadal
    stable
  27. IT
    XNXX.com
    stable
  28. IT
    Shōgun
    - 30%
  29. IT
    Mara Venier
    new
  30. IT
    Su-24
    new
  31. IT
    Francesca Fagnani
    - 81%
  32. IT
    Kevin De Bruyne
    new
  33. IT
    Beasts of Satan
    + 7%
  34. IT
    RAI
    - 4%
  35. IT
    Manchester City F.C.
    new
  36. IT
    Dani Carvajal
    new
  37. IT
    Luka Modrić
    new
  38. IT
    Chiara Francini
    new
  39. IT
    Kylian Mbappé
    - 35%
  40. IT
    Marco Tardelli
    new
  41. IT
    2 Girls 1 Cup
    - 133%
  42. IT
    Luciano Canfora
    - 41%
  43. IT
    Iran
    - 59%
  44. IT
    Rocco Siffredi
    new
  45. IT
    Emanuel Lo
    new
  46. IT
    Rodrygo
    new
  47. IT
    Lamine Yamal
    - 252%
  48. IT
    Ella Purnell
    - 13%
  49. IT
    Rodri
    new
  50. IT
    Nacho
    new
Those data refers to the most visited pages on Wikipedia from Italy on Apr 17, 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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