To diagnose the slow of python code you can use python profiling, that track all the executed method and the time for each one which allow you to find the real reason that causing the slow

Code example

import cProfile
import pstats
import requests

def main():
    with cProfile.Profile() as pr:
        # the method you want to profile and improve its performance
        requests.get('https://google.com')

    stats = pstats.Stats(pr)
    stats.sort_stats(pstats.SortKey.TIME)
    stats.print_stats()
    # to store in file
    # stats.dump_stats(filename='profiling.prof')

if __name__ == '__main__':
    main()

output example

   10764 function calls (10698 primitive calls) in 0.681 seconds

   Ordered by: internal time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       10    0.212    0.021    0.212    0.021 {method 'read' of '_ssl._SSLSocket' objects}
        2    0.159    0.080    0.159    0.080 {method 'do_handshake' of '_ssl._SSLSocket' objects}
        2    0.124    0.062    0.124    0.062 {method 'load_verify_locations' of '_ssl._SSLContext' objects}
        2    0.102    0.051    0.102    0.051 {method 'connect' of '_socket.socket' objects}
        2    0.025    0.012    0.025    0.013 {built-in method _socket.getaddrinfo}
       70    0.012    0.000    0.012    0.000 {built-in method __new__ of type object at 0x5555fe0027e0}
        2    0.002    0.001    0.002    0.001 {built-in method marshal.loads}

all you need just check the tottime and know the reason

#HappyCoding