Trends

Trending in Italy
on Oct 17, 2024

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

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  1. IT
    Liam Payne
    + 58%
  2. IT
    One Direction
    + 79%
  3. IT
    Cheryl
    + 74%
  4. IT
    Yahya Sinwar
    new
  5. IT
    6 Kings Slam
    new
  6. IT
    Harry Styles
    + 76%
  7. EN
    Liam Payne
    + 43%
  8. IT
    Zayn Malik
    + 76%
  9. IT
    Louis Tomlinson
    new
  10. IT
    2017 Farindola avalanche
    new
  11. IT
    Niall Horan
    new
  12. IT
    Don Matteo
    new
  13. IT
    surrogacy
    + 36%
  14. IT
    Rafael Nadal
    new
  15. IT
    Enrico Oldoini
    new
  16. IT
    Achille Lauro
    new
  17. IT
    Novak Djokovic
    new
  18. IT
    Jannik Sinner
    + 35%
  19. IT
    B-2 Spirit
    new
  20. IT
    The Gentlemen
    new
  21. IT
    883
    - 19%
  22. IT
    Greenland
    new
  23. IT
    Buenos Aires
    new
  24. IT
    Lyle and Erik Menéndez
    - 33%
  25. IT
    Mauro Repetto
    - 16%
  26. IT
    Mario Balotelli
    + 35%
  27. IT
    Megalopolis
    stable
  28. IT
    Hamas
    new
  29. EN
    6 Kings Slam
    - 145%
  30. IT
    Agatha All Along
    new
  31. IT
    Max Pezzali
    - 25%
  32. IT
    David Alcaraz
    new
  33. IT
    Eugenio Mastrandrea
    new
  34. EN
    One Direction
    new
  35. IT
    Hanno_ucciso_l'Uomo_Ragno_-_La_leggendaria_storia_degli_883
    - 16%
  36. IT
    Oliver Reed
    new
  37. IT
    Nnamdi Oduamadi
    new
  38. IT
    Katie Cassidy
    new
  39. IT
    The Penguin
    new
  40. IT
    Jake La Furia
    new
  41. IT
    Terrifier
    + 10%
  42. IT
    RAI
    - 7%
  43. EN
    Yahya Sinwar
    new
  44. IT
    Paola Iezzi
    new
  45. IT
    Giorgio Montanini
    - 41%
  46. IT
    Francis Ford Coppola
    new
  47. IT
    Lake Orta
    new
  48. IT
    Marina Coffa
    new
  49. IT
    Gaia Messerklinger
    new
  50. IT
    The Bourne Identity
    new
Those data refers to the most visited pages on Wikipedia from Italy on Oct 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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