Trends

Trending in Italy
on Aug 26, 2024

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

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  1. IT
    Sven-Göran Eriksson
    new
  2. IT
    Reilly Opelka
    new
  3. EN
    Nicolò Savona
    new
  4. IT
    Nabucco
    new
  5. IT
    Ante Rebić
    new
  6. IT
    Thiago Motta
    + 62%
  7. IT
    Francisco Conceição
    - 6%
  8. IT
    murder of Elisa Claps
    - 4%
  9. IT
    بافل دوروف
    - 105%
  10. IT
    Priscilla Presley
    new
  11. IT
    Nicolás González
    - 98%
  12. IT
    Somewhere Amazing
    new
  13. IT
    Oasis
    new
  14. IT
    SSC Napoli
    - 93%
  15. IT
    Double Jeopardy
    new
  16. IT
    Juan Cuadrado
    new
  17. IT
    Shall We Dance?
    new
  18. IT
    Elvis Presley
    new
  19. IT
    Alexander of Bergamo
    new
  20. IT
    Juan Cabal
    new
  21. IT
    Amy Jackson
    + 37%
  22. IT
    Juventus FC
    + 31%
  23. EN
    Nancy Dell'Olio
    new
  24. IT
    Red Planet
    new
  25. IT
    Jadon Sancho
    + 14%
  26. IT
    Roberto Calvi
    new
  27. IT
    Michele Di Gregorio
    new
  28. IT
    Scott McTominay
    - 138%
  29. IT
    Paolo Zanetti
    new
  30. IT
    David Neres
    + 8%
  31. IT
    Licia Colò
    new
  32. IT
    Lost
    - 5%
  33. IT
    Mike Lynch
    - 5%
  34. IT
    murder of Chiara Poggi
    new
  35. IT
    Open Water 2: Adrift
    new
  36. IT
    Sunne
    new
  37. IT
    Paolo Vanoli
    - 62%
  38. IT
    Alain Delon
    - 43%
  39. IT
    Christopher Reeve
    new
  40. IT
    Lisa Marie Presley
    new
  41. IT
    Chicago P.D.
    new
  42. IT
    Mediterranean recluse spiderman
    - 34%
  43. IT
    Michele Sindona
    new
  44. IT
    Romelu Lukaku
    - 68%
  45. IT
    Armand Duplantis
    - 18%
  46. IT
    Bayesian
    + 5%
  47. IT
    US Open
    new
  48. IT
    Sérgio Conceição
    + 3%
  49. EN
    Samuel Mbangula
    new
  50. IT
    Ché Adams
    - 120%
Those data refers to the most visited pages on Wikipedia from Italy on Aug 26, 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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