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：

datadomain.csv

最終輸出文檔情況：

datanlookup.csv

代碼：

# coding=gbkimport subprocessimport 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’datadomain.csv’ # 輸入文件 file_nslookup = r’datanslookup.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數量少于需要監測的域名數量，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(’執行完畢’)

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