本文着重讲解了python批量处理多DNS多域名的nslookup解析实现，文中通过代码实例讲解的非常细致，对大家的工作和学习具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧
利用EXCLE生成CSV文档，批量处理nslookup解析。并保存为CSV文档，方便进行查看：
输入文档格式：
data\domain.csv
最终输出文档情况：
data\nlookup.csv
代码：
# 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' # 输入文件
file_nslookup = r'data\nslookup.csv' # 输出文件
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数量少于需要监测的域名数量，做去空处理
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('执行完毕')
