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如何用python爬虫批量抓取ip代理

这篇文章主要讲解了“如何用python爬虫批量抓取ip代理”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“如何用python爬虫批量抓取ip代理”吧!

创新互联公司IDC提供业务:服务器托管,成都服务器租用,服务器托管,重庆服务器租用等四川省内主机托管与主机租用业务;数据中心含:双线机房,BGP机房,电信机房,移动机房,联通机房。

因此写一个python程序来获取ip代理,保存到本地。

python版本:3.6.3

1 #grab ip proxies from xicidaili

 2 import sys, time, re, requests

 3 from multiprocessing.dummy import Pool as ThreadPool

 4 from lxml import etree

 5 

 6 IP_POOL = 'ip_pool.py'

 7 URL = 'http://www.xicidaili.com/nn/' #IP代理 高匿

 8 #URL = 'http://www.xicidaili.com/wt/' #IP代理 http

 9 RUN_TIME = time.strftime("%Y-%m-%d %H:%M", time.localtime()) #执行时间

10 

11 #用字典存放有效ip代理

12 alive_ip = {'http': [], 'https': []}

13 #多线程

14 pool = ThreadPool(20)

15 

16 #返回html文本

17 def get_html(url):

18 headers = {

19 "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:55.0) Gecko/20100101 Firefox/55.0",

20 "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",

21 "Accept-Language": "zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3",

22 "Accept-Encoding": "gzip, deflate",

23 "Referer": "https://www.xicidaili.com/",

24 "Connection": "keep-alive",

25 "Upgrade-Insecure-Requests": "1"

26 }

27 r = requests.get(url, headers=headers)

28 r.encoding = 'utf-8'

29 return r.text

30 

31 #测试ip代理是否存活

32 def test_alive(proxy):

33 global alive_ip

34 proxies = {'http': proxy}

35 try:

36 r = requests.get('https://www.baidu.com', proxies=proxies, timeout=3)

37 if r.status_code == 200:

38 if proxy.startswith('https'):

39 alive_ip['https'].append(proxy)

40 else:

41 alive_ip['http'].append(proxy)

42 except:

43 print("%s无效!"%proxy)

44 

45 #解析html文本,获取ip代理

46 def get_alive_ip_address():

47 iplist = []

48 html = get_html(URL)

49 selector = etree.HTML(html)

50 table = selector.xpath('//table[@id="ip_list"]')[0]

51 lines = table.xpath('./tr')[1:]

52 for line in lines:

53 speed, connect_time = line.xpath('.//div/@title')

54 data = line.xpath('./td')

55 ip = data[1].xpath('./text()')[0]

56 port = data[2].xpath('./text()')[0]

57 anonymous = data[4].xpath('./text()')[0]

58 ip_type = data[5].xpath('./text()')[0]

59 #过滤掉速度慢和非高匿的ip代理

60 if float(speed[:-1])<1 or float(connect_time[:-1])<1 or anonymous != '高匿':

61 continue

62 iplist.append(ip_type.lower() + '://' + ip + ':' + port)

63 pool.map(test_alive, iplist)

64 

65 #把抓取到的有效ip代理写入到本地

66 def write_txt(output_file):

67 with open(output_file, 'w') as f:

68 f.write('#create time: %s\n\n' % RUN_TIME)

69 f.write('http_ip_pool = \\\n')

70 f.write(str(alive_ip['http']).replace(',', ',\n'))

71 f.write('\n\n')

72 with open(output_file, 'a') as f:

73 f.write('https_ip_pool = \\\n')

74 f.write(str(alive_ip['https']).replace(',', ',\n'))

75 print('write successful: %s' % output_file)

76 

77 def main():

78 get_alive_ip_address()

79 write_txt(output_file)

80 

81 if __name__ == '__main__':

82 try:

83 output_file = sys.argv[1] #第一个参数作为文件名

84 except:

85 output_file = IP_POOL

86 main()

运行程序:

root@c:test$ python get_ip_proxies.py

write successful: ip_pool.py

查看文件:

root@c:test$ vim ip_pool.py

 1 #create time: 2019-03-14 19:53

 2 

 3 http_ip_pool = \

 4 ['http://183.148.152.1:9999',

 5 'http://112.85.165.234:9999',

 6 'http://112.87.69.162:9999',

 7 'http://111.77.197.10:9999',

 8 'http://113.64.94.80:8118',

 9 'http://61.184.109.33:61320',

10 'http://125.126.204.82:9999',

11 'http://125.126.218.8:9999',

12 'http://36.26.224.56:9999',

13 'http://123.162.168.192:40274',

14 'http://116.209.54.125:9999',

15 'http://183.148.148.211:9999',

16 'http://111.177.161.111:9999',

17 'http://116.209.58.245:9999',

18 'http://183.148.143.38:9999',

19 'http://116.209.55.218:9999',

20 'http://114.239.250.15:9999',

21 'http://116.209.54.109:9999',

22 'http://125.123.143.98:9999',

23 'http://183.6.130.6:8118',

24 'http://183.148.143.166:9999',

25 'http://125.126.203.228:9999',

26 'http://111.79.198.74:9999',

27 'http://116.209.53.215:9999',

28 'http://112.87.69.124:9999',

29 'http://112.80.198.13:8123',

30 'http://182.88.160.16:8123',

31 'http://116.209.56.24:9999',

32 'http://112.85.131.25:9999',

33 'http://116.209.52.234:9999',

34 'http://175.165.128.223:1133',

35 'http://122.4.47.199:8010',

36 'http://112.85.170.204:9999',

37 'http://49.86.178.206:9999',

38 'http://125.126.215.187:9999']

39 

40 https_ip_pool = \

41 ['https://183.148.156.98:9999',

42 'https://111.79.199.167:808',

43 'https://61.142.72.150:39894',

44 'https://119.254.94.71:42788',

45 'https://221.218.102.146:33323',

46 'https://122.193.246.29:9999',

47 'https://183.148.139.173:9999',

48 'https://60.184.194.157:3128',

49 'https://118.89.138.129:52699',

50 'https://112.87.71.67:9999',

51 'https://58.56.108.226:43296',

52 'https://182.207.232.135:50465',

53 'https://111.177.186.32:9999',

54 'https://58.210.133.98:32741',

55 'https://115.221.116.71:9999',

56 'https://183.148.140.191:9999',

57 'https://183.148.130.143:9999',

58 'https://116.209.54.84:9999',

59 'https://125.126.219.125:9999',

60 'https://112.85.167.158:9999',

61 'https://112.85.173.76:9999',

62 'https://60.173.244.133:41306',

63 'https://183.148.147.223:9999',

64 'https://116.209.53.68:9999',

65 'https://111.79.198.102:9999',

66 'https://123.188.5.11:1133',

67 'https://60.190.66.131:56882',

68 'https://112.85.168.140:9999',

69 'https://110.250.65.108:8118',

70 'https://221.208.39.160:8118',

71 'https://116.209.53.77:9999',

72 'https://116.209.58.29:9999',

73 'https://183.148.141.129:9999',

74 'https://124.89.33.59:53281',

75 'https://116.209.57.149:9999',

76 'https://58.62.238.150:32431',

77 'https://218.76.253.201:61408']

之后就可以直接使用了

from ip_pool import http_ip_pool, https_ip_pool

感谢各位的阅读,以上就是“如何用python爬虫批量抓取ip代理”的内容了,经过本文的学习后,相信大家对如何用python爬虫批量抓取ip代理这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是创新互联,小编将为大家推送更多相关知识点的文章,欢迎关注!


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