Trends

Trending in Italy
on Nov 3, 2023

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

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  1. IT
    murder of Elisa Claps
    - 20%
  2. IT
    Facebook
    stable
  3. IT
    Nuovo Olimpo
    + 1%
  4. IT
    Enrico Mattei
    new
  5. IT
    Hezbollah
    new
  6. IT
    Alberto Paloschi
    + 41%
  7. IT
    Israel
    - 16%
  8. IT
    The Zookeeper's Wife
    new
  9. IT
    Comandante
    - 16%
  10. IT
    The Lions of Sicily
    - 36%
  11. IT
    Five Nights at Freddy's
    - 3%
  12. IT
    The Beatles
    + 29%
  13. IT
    Florio
    - 27%
  14. IT
    Matthew Perry
    - 36%
  15. IT
    Blanca
    - 31%
  16. IT
    State of Palestine
    - 24%
  17. IT
    Ignazio Florio
    - 20%
  18. IT
    Vincenzo Florio
    - 15%
  19. IT
    Loki, season 2
    new
  20. IT
    Dick Van Dyke
    new
  21. IT
    Gaza Strip
    - 52%
  22. IT
    Serena Williams
    - 43%
  23. EN
    Arijon Ibrahimović
    - 104%
  24. IT
    Matías Soulé
    new
  25. IT
    Hamas
    - 27%
  26. IT
    Enrico Lo Verso
    new
  27. IT
    Salvatore Todaro
    - 31%
  28. IT
    Fabio De Luigi
    new
  29. IT
    Mori-Torbole tunnel
    - 27%
  30. IT
    Zionism
    - 8%
  31. IT
    Venus Williams
    - 46%
  32. IT
    Paola Cortellesi
    - 42%
  33. IT
    RAI
    - 8%
  34. IT
    Joshua Zirkzee
    new
  35. IT
    It's the Law
    new
  36. IT
    Hassan Nasrallah
    new
  37. IT
    Saint Silvia
    new
  38. IT
    Ferzan Özpetek
    - 20%
  39. IT
    Saw
    - 29%
  40. IT
    1966 Flood of the Arno River
    new
  41. IT
    Liza Minnelli
    new
  42. IT
    SSC Napoli
    new
  43. IT
    Italy
    new
  44. IT
    Elodie
    - 47%
  45. IT
    Halloween
    new
  46. IT
    Gabriele Amorth
    - 48%
  47. IT
    Killers of the Flower Moon
    - 30%
  48. IT
    Gustavo Adolfo Rol
    new
  49. IT
    Gen V
    new
  50. IT
    Giorgetto Giugiaro
    new
Those data refers to the most visited pages on Wikipedia from Italy on Nov 3, 2023.
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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