build a script that makes url requests in parallel, reads the data and puts it on a dict

import requests
from multiprocessing.dummy import Pool as ThreadPool

urls = ['http://www.python.org', 'http://www.cnn.com', 'http://www.yahoo.com', 'http://www.nytimes.com']

def request_data(url):
    return requests.get(url).text

pool = ThreadPool(4)
results = pool.map(request_data, urls)

print(results)