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用Python搭建一个简朴的代办池【Python教程】,Python,代理池

作者:搜教程发布时间:2019-11-27分类:Python教程浏览:39评论:0


导读:实在每次爬东西的时刻,特怕IP被封,所以每次都要把时候延迟设置得长一点...此次用Python搭建一个简朴的代办池。猎取代办IP,然后考证其有效性。不过效果彷佛不是很抱负,为何西刺...
实在每次爬东西的时刻,特怕IP被封,所以每次都要把时候延迟设置得长一点...此次用Python搭建一个简朴的代办池。猎取代办IP,然后考证其有效性。不过效果彷佛不是很抱负,为何西刺代办的高匿代办都能用???不是说免费代办不好使吗?真的是黑人问号脸...


NO.1 代办猎取

01 网页剖析

经由过程点击西刺代办国内高匿代办,获得网页信息。

猎取IP地点、端口、是不是匿名、范例、速率。

02 猎取代办信息

这里记得一定要设置随机拔取headers以及就寝时候,由于我就没有设置,然后就被封了...

import time
import requests
from bs4 import BeautifulSoup
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'
}
for i in range(1, 36):
    time.sleep(2)
    print('第' + str(i) + '页')
    url = 'http://www.xicidaili.com/nn/' + str(i)
    response = requests.get(url=url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    all_trs = soup.find_all('tr')
    for tr in all_trs[1:]:
        all_tds = tr.find_all('td')
        ip = all_tds[1].get_text()
        port = all_tds[2].get_text()
        anonymous = all_tds[4].get_text()
        type = all_tds[5].get_text()
        for j in all_tds[6].find_all("div", attrs={"class": "bar"}):
            speed = j.get('title')
        with open('ip.csv', 'a+', encoding='utf-8-sig') as f:
            f.write(ip + ',' + port + ',' + anonymous + ',' + type + ',' + speed + '\n')

随机猎取用户代办的代码,上面是没加下面这个函数的(效果就是被封,不过第二天又能用啦)

def get_user_agent():
    '''
    随机猎取一个用户代办
    '''
    user_agents=[
        "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
        "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)",
        "Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
        "Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)",
        "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
        "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)",
        "Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)",
        "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)",
        "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6",
        "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1",
        "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0",
        "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5",
        "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
        "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20",
        "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER",
        "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)",
        "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 LBBROWSER",
        "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
        "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)",
        "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
        "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; 360SE)",
        "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
        "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)",
        "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1",
        "Mozilla/5.0 (iPad; U; CPU OS 4_2_1 like Mac OS X; zh-cn) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8C148 Safari/6533.18.5",
        "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b13pre) Gecko/20110307 Firefox/4.0b13pre",
        "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:16.0) Gecko/20100101 Firefox/16.0",
        "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11",
        "Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10"
    ]
    # random.choice返回列表的随机项
    user_agent = random.choice(user_agents)
    return user_agent

# random.randint发生随机整数
time.sleep(2 + float(random.randint(1, 100)) / 20)

NO.2代办考证

经由过程考证发明大部分都能用,不知道真的假的。

网址用的之前辨认考证码的谁人网站,如云阁小说网。

200个只要2个无效,不科学~

import pandas as pd
import numpy as np
import requests
import time

df = pd.read_csv('ip.csv', header=None, names=["ip", "port", "anonymous", "proxy_type", "speed"])

proxy_types = ["{}".format(i) for i in np.array(df['proxy_type'])]
ips = ["{}".format(i) for i in np.array(df['ip'])]
ports = ["{}".format(i) for i in np.array(df['port'])]

proxy_url = ['{0}://{1}:{2}'.format(proxy_types[i], ips[i], ports[i]) for i in range(len(ips))]

proxy_type = ['{}'.format(i) for i in proxy_types]
for i in range(200):
    time.sleep(1)
    proxies = {
        proxy_type[i]: proxy_url[i]
    }
    try:
        response = requests.get('http://www.quanben9.com/', proxies=proxies)
    except Exception as e:
        print('invalid ip and port')
    else:
        code = response.status_code
        if code == 200:
            print('effective ip')
            with open('effective_ip.csv', 'a+', encoding='utf-8-sig') as f:
                f.write(proxy_type[i] + ',' + proxy_url[i] + '\n')
        else:
            print('invalid ip and port')

NO.3小结

IP协定:网际协定,作用是把种种数据包传送给对方(两个主要的前提,IP地点和MAC地点)。

IP地点:指清楚明了节点被分配到的地点。

端口:端口是经由过程端口号来标记的,端口号只要整数,局限是从0到65535。一个IP地点的端口有65536个,「IP地点+端口号」辨别差别的效劳(Web、FTP、SMTP)。

HTTP:超文本传输协定,完成从客户端到效劳器端等一系列运作流程。

HTTPS:添加了加密及认证机制的HTTP。

老实说,之前我对IP地点、端口、HTTP、HTTPS,是一点不相识的。

近来在看图解HTTP,算是对它们有所相识,然则还只是那末一点点,任重而道远。

不过罗马非一日之功,有提高就是功德!

【引荐课程:Python专栏课程】

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