Load testing a moodle server - log in with token parsed with Beautiful Soup

While trying automated logins with a simplistic python script like this -
import requests

url = 'https://theserver.tld/login/index.php'
myobj = {'username': 'theUserName', 'password': 'ThisIsThePassWord!', "logintoken": "hCBVa2gzAWqSa2u7iNzdzlE9kwpVehFf"}
x = requests.post(url, data = myobj)
print(x.text)

Moodle would return authentication failure - it was checking the logintoken, which was hard-coded above. R used a modified script to get the logintoken correctly first, which then works - 

import sys
import requests
from bs4 import BeautifulSoup 

#driver = webdriver.Chrome()
# using this technique, the testing machines would run out of RAM
# after a dozen or so Chrome instances were loaded!

#def login(url,usernameId, username, passwordId, password, submit_buttonId):

#   driver.get(url)
#   driver.find_element_by_id(usernameId).send_keys(username)
#   driver.find_element_by_id(passwordId).send_keys(password)
#   driver.find_element_by_id(submit_buttonId).click()

#myMoodleEmail = sys.argv[1]

#login("https://server.tld/login/index.php", "username", myMoodleEmail, "password", "ThePW!", "loginbtn")

#driver.close()

login_data = {

    #'logintoken': 'XPc8nw0a2gLXpgsn6njpehwEoW43mzYQ',
'username': sys.argv[1], 'password': 'ThePW!'

}

headers = {'user-agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Mobile Safari/537.36'}

with requests.Session() as s:

    url = "https://theserver.tld/login/index.php"
    r = s.get(url)
    soup = BeautifulSoup(r.content, 'html5lib')
    login_data['logintoken'] = soup.find('input', attrs = {'name': 'logintoken'})['value'] 
    r = s.post(url, data = login_data, headers = headers)
    print(r.text)

So I didn't have to try JMeter as the moodle documentation suggests, 
https://moodle.org/mod/forum/discuss.php?d=313489

which points to the moodle documentation on load testing. 
https://docs.moodle.org/dev/JMeter#Make_JMeter_test_plan

Edit: Example usage of JMeter - 
jmeter -n -t [jmx file] -l [results file] -e -o [Path to web report folder]

Edit: The final result was, on AWS, "R5A Quadruple Extra Large - 128 GB RAM, 16 Virtual CPUs, 10 GB Network" - for 2000 users to log in concurrently.