Trends

Trending in Italy
on Aug 27, 2024

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

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  1. IT
    Oasis
    + 76%
  2. IT
    Sven-Göran Eriksson
    - 323%
  3. IT
    Wojciech Szczęsny
    new
  4. IT
    Mackenzie McDonald
    new
  5. IT
    Teun Koopmeiners
    new
  6. IT
    Scott McTominay
    + 65%
  7. IT
    James Brown
    new
  8. IT
    murder of Elisa Claps
    - 1%
  9. IT
    Chico Conceição
    - 5%
  10. IT
    Ante Rebić
    - 11%
  11. IT
    Thiago Motta
    - 10%
  12. IT
    Liam Gallagher
    new
  13. IT
    Sveva Alviti
    new
  14. IT
    vehicle horn
    new
  15. IT
    Nightmare Alley
    new
  16. IT
    Funny Games
    new
  17. IT
    Noel Gallagher
    new
  18. IT
    Swept Away
    new
  19. IT
    Scientology
    new
  20. IT
    Kevin Danso
    new
  21. EN
    Nicolò Savona
    - 145%
  22. IT
    Franco Colapinto
    new
  23. IT
    Roberta Capua
    new
  24. IT
    بافل دوروف
    - 35%
  25. IT
    US Open
    + 39%
  26. IT
    Juventus FC
    + 17%
  27. IT
    Nunzia De Girolamo
    new
  28. IT
    Odilon Kossounou
    new
  29. IT
    First Kill
    new
  30. IT
    kidnapping of Giuseppe Soffiantini
    new
  31. IT
    Jadon Sancho
    + 7%
  32. IT
    Reilly Opelka
    - 248%
  33. IT
    Yacine Adli
    new
  34. IT
    Priscilla Presley
    - 72%
  35. IT
    Mariangela Melato
    new
  36. IT
    Lyme disease
    new
  37. IT
    Romelu Lukaku
    + 13%
  38. IT
    Jannik Sinner
    new
  39. IT
    Lost
    - 4%
  40. EN
    Nancy Dell'Olio
    - 15%
  41. IT
    Funny Games U.S.
    new
  42. IT
    Sukhoi Su-57
    new
  43. IT
    Nicolás González
    - 100%
  44. IT
    SSC Napoli
    - 71%
  45. IT
    Antonello Venditti
    new
  46. EN
    Oasis
    new
  47. IT
    Elvis Presley
    - 60%
  48. IT
    L'uomo perfetto
    new
  49. IT
    Cristiano Ronaldo
    new
  50. IT
    Asia Argento
    new
Those data refers to the most visited pages on Wikipedia from Italy on Aug 27, 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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