Trends

Trending in Italy
on Nov 11, 2023

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

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  1. IT
    murder of Elisa Claps
    + 2%
  2. IT
    SSC Napoli
    + 66%
  3. IT
    Martin of Tours
    + 70%
  4. IT
    Facebook
    - 3%
  5. IT
    Gabriele Sandri
    new
  6. IT
    Moana Pozzi
    new
  7. IT
    San Martino
    new
  8. IT
    Paola Cortellesi
    - 20%
  9. IT
    Andrea Colpani
    new
  10. IT
    The Killer
    + 23%
  11. IT
    Raphael Dwamena
    new
  12. IT
    Juventus FC
    new
  13. IT
    The Marvels
    + 2%
  14. IT
    Nino Strano
    new
  15. IT
    Pornhub
    new
  16. IT
    2003 Nasiriyah bombing
    new
  17. IT
    Comandante
    + 33%
  18. IT
    Rosanna Lambertucci
    new
  19. IT
    Wanda Nara
    new
  20. IT
    Jannik Sinner
    - 1%
  21. IT
    Nicola Sansone
    new
  22. IT
    indian summer
    new
  23. IT
    Giorgio Pasotti
    new
  24. IT
    Ivan Graziani
    - 35%
  25. IT
    The Horse Whisperer
    - 26%
  26. IT
    We All Fall Down
    new
  27. IT
    Northrop Grumman B-21 Raider
    new
  28. IT
    Luca Cordero di Montezemolo
    new
  29. IT
    Loki, season 2
    - 79%
  30. IT
    Varenne
    - 17%
  31. IT
    Seeking Justice
    new
  32. IT
    Daniele Rugani
    new
  33. IT
    Olivier Giroud
    new
  34. IT
    A Perfect Getaway
    new
  35. IT
    Paola Perego
    new
  36. IT
    RAI
    - 15%
  37. IT
    Airport
    new
  38. IT
    Elodie
    - 88%
  39. IT
    list of Attack on Titan episodes
    - 2%
  40. IT
    Ballando con le Stelle
    new
  41. IT
    Per Elisa - Il caso Claps
    + 5%
  42. IT
    Antonio Caprarica
    new
  43. IT
    Anna Valle
    new
  44. IT
    Florio
    new
  45. IT
    Alberto Dossena
    new
  46. IT
    Teo Mammucari
    new
  47. IT
    Nicoletta Manni
    - 141%
  48. IT
    The Lions of Sicily
    + 8%
  49. IT
    Loki
    - 40%
  50. IT
    St. Martin's Day
    new
Those data refers to the most visited pages on Wikipedia from Italy on Nov 11, 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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