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Design and implementation of a scalable multiprocessing crawler for Telegram entities.

Simone Galota

Design and implementation of a scalable multiprocessing crawler for Telegram entities.

Rel. Marco Mellia, Nikhil Jha, Giordano Paoletti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023

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Abstract:

Platform for automatic analysis of telegram channels, megagroup, group and bot. Using the Telethon API and starting from two scrapers previously written in python from Edoardo Gabrielli and Armando Chimirri, a multi processing crawler has been designed and implemented using master and workers architecture.
Relators: Marco Mellia, Nikhil Jha, Giordano Paoletti
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 56
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/29479
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