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這篇文章主要介紹關于python批量處理多DNS多域名nslookup的案例分析，文中示例代碼介紹的非常詳細，具有一定的參考價值，感興趣的小伙伴們一定要看完！

利用EXCLE生成CSV文檔，批量處理nslookup解析。并保存為CSV文檔，方便進行查看：

輸入文檔格式：

data\domain.csv

最終輸出文檔情況：

data\nlookup.csv

代碼：

# coding=gbk
import subprocess
import csv
 
 
def get_nslookup(domain, dns):
  res = subprocess.Popen("nslookup {0} {1}".format(domain, dns), stdin=subprocess.PIPE,
              stdout=subprocess.PIPE).communicate()[0]
  response = res.decode("gbk")
  res_list = response.split("s:")
  row_nslookup = [domain, dns]
  row_ip = res_list[2].split()[:-1]
  row_nslookup.extend(row_ip)
  return row_nslookup
 
 
if __name__ == "__main__":
  file_domain = r'data\domain.csv'    # 輸入文件
  file_nslookup = r'data\nslookup.csv'  # 輸出文件
  with open(file_domain, 'r', newline='', encoding='gbk') as rf:
    domain_csv = csv.DictReader(rf, dialect=csv.excel)
    domain_list = [row['domain'] for row in domain_csv]
 
  with open(file_domain, 'r', newline='', encoding='gbk') as rf:
    domain_csv = csv.DictReader(rf, dialect=csv.excel)
    dns_list = []
    for row in domain_csv:
      print(row['DNS'])
      if row['DNS'] != '':    # 通常DNS數(shù)量少于需要監(jiān)測的域名數(shù)量，做去空處理
        dns_list.append(row['DNS'])
 
  with open(file_nslookup, 'w+', newline='', encoding='gbk') as wf:
    nslookup_csv = csv.writer(wf, dialect=csv.excel)
    header = ['domain', 'DNS', 'nslookup_res...']
    nslookup_csv.writerow(header)
    for domain in domain_list:
      for dns in dns_list:
        print('解析中：域名：{0}___DNS：{1}'.format(domain, dns))
        row_nslookup = get_nslookup(domain, dns)
        nslookup_csv.writerow(row_nslookup)
 
print('執(zhí)行完畢')