您可以使用例如multiprocessing包来加速该过程，即：

import os
import sys
from multiprocessing import Pool

import pandas as pd
from tqdm import tqdm
from whois import whois

# https://stackoverflow.com/a/8391735/10035985
def blockPrint():
    sys.stdout = open(os.devnull, "w")

def enablePrint():
    sys.stdout = sys.__stdout__

def check_domain(domain):
    try:
        blockPrint()
        result = whois(domain)
    except:
        return domain, None
    finally:
        enablePrint()
    return domain, result.status

if __name__ == "__main__":
    domains = [
        "google.com",
        "yahoo.com",
        "facebook.com",
        "xxxnonexistentzzz.domain",
    ] * 100

    results = []
    with Pool(processes=16) as pool:  # <-- select here how many processes do you want
        for domain, status in tqdm(
            pool.imap_unordered(check_domain, domains), total=len(domains)
        ):
            results.append((domain, not bool(status)))

    df = pd.DataFrame(results, columns=["domain", "is_free"])
    print(df.drop_duplicates())

字符串
印刷品：

100%|██████████████████████████████████████████████| 400/400 [00:07<00:00, 55.67it/s]

                      domain  is_free
0   xxxnonexistentzzz.domain     True
5               facebook.com    False
11                google.com    False
14                 yahoo.com    False

型
您可以看到它每秒检查约55个域。