Getting Data from Telegram using API Calls
Date Issued
May 2023
Author(s)
Advisor
Abstract
With the continuous development of Technology and the ever-greater
use of social media, the risks naturally increased and continue to increase.
Naturally, Telegram was also affected by this situation. In my
thesis, libraries and API calls will be used, which will return some data.
These data will be stored in a database where they will be subject to
processing. Also, this thesis has implemented a frond-end to display
the data, and the user can run a method. From the front end, the user
will also have the ability to delete all data from the base. In addition,
to make it possible for the code to run in a dynamic way, it had to
be implemented to be able to read the link for each separate channel
and create a different JSON file for each one. Furthermore, while the
code is running, there is a method called to collect and store in a text
record all the links found in the JSON file regardless of the platform
they belong to. In this way, we can manage a large volume of data and
collect information to make our goal easier. In order to make the implementation
of all this possible, we had to face various problems, which
will be analyzed in detail below. Furthermore, an extensive analysis of
the materials used will be given. Finally, future considerations for this
thesis will be mentioned.
use of social media, the risks naturally increased and continue to increase.
Naturally, Telegram was also affected by this situation. In my
thesis, libraries and API calls will be used, which will return some data.
These data will be stored in a database where they will be subject to
processing. Also, this thesis has implemented a frond-end to display
the data, and the user can run a method. From the front end, the user
will also have the ability to delete all data from the base. In addition,
to make it possible for the code to run in a dynamic way, it had to
be implemented to be able to read the link for each separate channel
and create a different JSON file for each one. Furthermore, while the
code is running, there is a method called to collect and store in a text
record all the links found in the JSON file regardless of the platform
they belong to. In this way, we can manage a large volume of data and
collect information to make our goal easier. In order to make the implementation
of all this possible, we had to face various problems, which
will be analyzed in detail below. Furthermore, an extensive analysis of
the materials used will be given. Finally, future considerations for this
thesis will be mentioned.
Subjects
File(s)![Thumbnail Image]()
Name
ABSTRACT-MASTERThesis_Andreas_Christodoulou-2023.pdf
Size
156.58 KB
Format
Adobe PDF
Checksum (MD5)
d42a726480ca9e1c12f434c90d8ee8d0