URLError when using multiprocessing.Pool

Question

I have a function that i want to process for thousands of objects in parallel.

EDIT:

Using Pool from: https://docs.python.org/3/library/multiprocessing.html
Using Client object from: https://github.com/ping/instagram_private_api

from multiprocessing import Pool
from instagram_private_api import Client
from database.models import Account # SQLAlchemy model

# MAIN FUNCTION
accounts = get_all_accounts() # get accounts from DB
p = Pool(len(accounts)) # len of accounts is ~100
results = p.map(login, accounts)
p.terminate()
p.join()

# LOGIN FUNCTION 
def login(acc: Account):
    client = Client(proxy=acc.proxy)
    client = Client(username=acc.username, password=acc.password)
    client.login() # request is sent here

I am using the Pool object from the multiprocessing library and inside the function, i have two GET requests to external API ( note: I'm not using requests or urllib , i'm using a third-party library for sending the requests).
However for a lot of the requests I get the URLError <urlopen error timed out> error when i use Pool(100)( 100 parallel processes ) , if i use less ( i.e. 10 ) i dont get any errors.

Any idea on how to overcome this issue if it is possible?