python爬虫实战：爬取西刺代理网站，获取免费的代理IP

系统管理员 2021-11-11 06:08 380阅读 0赞

爬取的网站链接：[西刺网站][Link 1]

import requests
    import chardet
    import random
    import time
    from bs4 import BeautifulSoup
    from telnetlib import Telnet
    import progressbar
    
    user_agent = [
           "Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)",
           "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"
    ]
    
    def getHtmlWithHeader(url):
    	# 尝试获取网页内容，当获取失败的时候重新获取网页代码
    	# 当失败次数过多时停止获取 并输出提示信息
        try:
            # 获取响应内容
            response = requests.get(url,headers={"User-Agent": random.choice(user_agent)})
            # 获取编码
            code = chardet.detect(response.content)["encoding"]
            # 指定编码
            response.encoding = code
            # 输出文本
            # print(response.text)
            return response.text
        except:
            time.sleep(1)
            global _times_count
            _times_count += 1
            if _times_count > 5:
                print("ip获取失败，请稍后重试")
                return
            print("第", _times_count, "次尝试抓取")
            return getHtmlWithHeader(url)
    
    def getIP(num):
        # 准备数据列表
        datalist = []
        # 准备 url
        for num1 in range(num):
            url = 'http://www.xicidaili.com/nn/' + str(num1 + 1)
            # 获取返回数据
            html = getHtmlWithHeader(url)
            soup = BeautifulSoup(html, 'html.parser')
            parent = soup.find(id="ip_list")
            lis = parent.find_all('tr')
            # 删除第一条数据
            lis.pop(0)
            print("爬取ip地址及相关信息")
            for i in lis:
                ip = i.find_all('td')[1].get_text()
                dk = i.find_all('td')[2].get_text()
                nm = i.find_all('td')[4].get_text()
                ty = i.find_all('td')[5].get_text()
                tm = i.find_all('td')[8].get_text()
                datalist.append((ip, dk, nm, ty, tm))
        print("共爬取到", len(datalist), "条数据\n")
        # 将获取到的数据返回
        return datalist
    
    def filtrateIP(datalist):
        datalist1 = []
        # 对生存时间短的数据进行过滤
        print('过滤存活时间短的\n')
        for i in datalist:
            if "分钟" not in i[4]:
                datalist1.append(i)
                # print(i)
        print("共过滤掉", len(datalist) - len(datalist1), "条生存时间短的数据")
        print("还剩", len(datalist1), "条数据\n")
    
        # 对得到的数据进行测试，看是否可用
        print('测试不可用的ip并将其过滤')
        datalist.clear()
        v = 1
        p = progressbar.ProgressBar()
        for i in p(datalist1):
            # print("正在检测第"+str(v)+"条数据")
            v += 1
            try:
                Telnet(i[0], i[1], timeout=1)
            except:
                pass
            else:
                datalist.append(i)
    
        print('过滤不可用的ip')
        print("共过滤掉", len(datalist1) - len(datalist), "条不可用数据")
        print("还剩", len(datalist), "条数据")
        # 将过滤后的数据返回
        return datalist
    
    def saveIP(datalist):
        # 对得到的数据进行分类 http/https
        httplist = []
        httpslist = []
        for i in datalist:
            if i[3] == 'HTTP':
                httplist.append('http://' + i[0] + ':' + i[1])
            else:
    
                httpslist.append('https://' + i[0] + ':' + i[1])
        # 将显示结果显示到屏幕上
        print("HTTP共" + str(len(httplist)) + "条数据")
        print(httplist)
        print("")
        print("HTTPS共" + str(len(httpslist)) + "条数据")
        print(httpslist)
        print("")
        print("写入文件")
    
        # 打开文件
        f = open('ip地址.txt', 'w', encoding="utf-8")
        # 写入文件
        f.write("HTTP\n")
        f.write(str(httplist) + "\n\n")
        f.write("HTTPS\n")
        f.write(str(httpslist))
        # 关闭文件
        f.close()
    
    
    # num 为爬取的页数
    def main(num):
        datalist = getIP(num)
        IPlist = filtrateIP(datalist )
        saveIP(IPlist)
    
    
    if __name__ == '__main__':
        main(10)#爬取10页

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzYzOTI5_size_16_color_FFFFFF_t_70][]

[Link 1]: http://www.xicidaili.com
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzYzOTI5_size_16_color_FFFFFF_t_70]: /images/20211109/cc3356014def446aa7003cbce1f278d6.png