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  1. Hace 3 días · Monsters, Inc. (also known as Monsters, Incorporated or simply Monsters) is a media franchise produced by Pixar and owned by The Walt Disney Company. The franchise takes place in a fictional universe where monsters are the primary citizens of society and harness the energy of human children to power their cities.

  2. Hace 20 horas · Ciudad Juárez.-. Al ser la película más votada en las redes sociales, este sábado 10 de agosto el Parque Central proyectará “Monsters Inc.” a partir de las 8:30 de la noche en el auditorio al aire libre, ubicado en el parque Oriente. “Ven y disfruta de una noche mágica bajo las estrellas con tus seres queridos. ¡No olvides traer ...

  3. Hace 1 día · La película de Disney salió como la ganadora para ser proyectada en el parque descentralizado. Por: Redacción09 Agosto 202413 35. El día de hoy, el Coordinador del Parque Central, David Rocha ...

  4. Hace 20 horas · Michael Wazowski is a fictional character who appears in Disney / Pixar 's Monsters Inc. franchise. He is a green one-eyed round monster with two arms, legs, and small horns. In the films, Mike is one of the two protagonists, alongside James P. Sullivan, and is primarily voiced by Billy Crystal in the film series, shorts, and the Disney+ series ...

  5. Hace 2 días · Monsters, Inc. is a 2001 American animated comedy film produced by Pixar Animation Studios for Walt Disney Pictures. The story follows the top scare team at Monsters, Inc., James P. "Sulley" Sullivan and his partner Mike Wazowski, as they encounter a little girl named Boo and must keep her hidden from their world while getting her ...

  6. Hace 20 horas · In addition, when the now-defunct Circle Seven Animation was open, there were plans for sequels to Finding Nemo (for which Pixar made its own sequel, Finding Dory) and Monsters, Inc. (for which Pixar made a prequel, Monsters University), as well as a different version of Toy Story 3. [56]

  7. Hace 2 días · This graph shows the wait time heat map for Monsters, Inc. Mike & Sulley to the Rescue! over the past month based on the data date for the specified time interval. It provides a good comparison of how wait times change and when they are short or low.

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