Python 实现快代理IP爬虫 & 播客访问量爬虫

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本文链接： https://blog.csdn.net/PY0312/article/details/102734105

一、序言：

  世界 1024 程序猿节日不加班，闲着没事儿。。。写了个快代理爬虫和播客访问量爬虫，每个步骤注释都很清晰，代码仅供学习参考！

---- Nick.Peng

二、所需环境：

• Python3.x
• 相关模块： requests、json、lxml、fake_useragent
  
  

三、快代理爬虫代码如下：

• 文件名： proxyip_spider.py
• 直接运行会在当前路径下保存一个名为 proxyip.json 的文件，里面保存的就是我们爬取的代理 IP

# -*- coding: utf-8 -*-
# @Author: Nick
# @Date:   2019-10-20 15:40:58
# @Last Modified by:   Nick
# @Last Modified time: 2019-10-24 16:54:31

import requests
import json
import time
from lxml import etree


class Proxyip_spider(object):
    """docstring for proxyip_spider"""

    def __init__(self):
        # self.base_url = "https://www.kuaidaili.com/free/"
        self.headers = {
            'User-Agent': 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)'}
        self.url = "https://www.kuaidaili.com/free/inha/{}"

    def send_request(self, page):
        data = requests.get(self.url.format(page)).content.decode()

        return data

    def parse_data(self, page):
        html_str = self.send_request(page)
        # print(html_str)
        element_obj = etree.HTML(html_str)
        ip_type = element_obj.xpath(
            '//*[@id="list"]/table/tbody/tr/td[4]/text()')
        ip = element_obj.xpath('//*[@id="list"]/table/tbody/tr/td[1]/text()')
        port = element_obj.xpath('//*[@id="list"]/table/tbody/tr/td[2]/text()')
        data_li = list(zip(ip_type, ip, port))
        # print(data_li)
        return data_li

    def save_data(self, data):
        with open("proxyip.json", "a+") as f:
            f.write(json.dumps(data))

    def main(self):
        proxy_data = list()
        for p in range(10):
            print("正在抓取{}页。。。".format(p + 1))
            data_li = self.parse_data(p + 1)
            for per_data in data_li:
                ip_type, ip, port = per_data
                proxy_data.append(dict(ip_type=ip_type, ip=ip + ":" + port))
            # print(proxy_data)
            time.sleep(1)
        self.save_data(proxy_data)
        print(proxy_data)


if __name__ == '__main__':
    Proxyip_spider().main()

四、刷播客访问量代码如下：

• 文件名： auto_click.py

# -*- coding: utf-8 -*-
# @Author: Nick
# @Date:   2019-10-12 15:42:22
# @Last Modified by:   Nick
# @Last Modified time: 2019-10-12 17:30:44
import requests
import json
import time
import random
import re
from fake_useragent import UserAgent

# 实例化UserAgent对象，用于产生随机UserAgent
ua = UserAgent()

verify_url = "http://www.baidu.com"

# url列表，包含要访问的播客网址
url_list = [
    'https://blog.csdn.net/PY0312/article/details/102512274',
    'https://blog.csdn.net/PY0312/article/details/102501233',
    'https://blog.csdn.net/PY0312/article/details/102463238',
    'https://blog.csdn.net/PY0312/article/details/101087356',
    'https://blog.csdn.net/PY0312/article/details/96507072'
]

# 生成ip地址列表，以便使用代理ip访问，这里ip地址从txt文档中读取


def auto_click():
    proxy_list = []
    with open("proxyip.json") as f:
        proxy_list = json.loads(f.read())
    # print(proxy_list)
    # print(type(proxy_list))

    while True:
        for proxy in proxy_list:
            header = {'User_Agent': ua.random}
            temp_proxy = {}
            temp_proxy[proxy["ip_type"]] = proxy["ip"]
            # print(type(temp_proxy))
            try:
                response = requests.get(
                    verify_url, headers=header, proxies=temp_proxy, timeout=3)
                if response.status_code == 200:
                    temp_url = random.choice(url_list)
                    num = re.findall(r"/(\d+)", temp_url)
                    print("正在点击的文章: %s" % num)
                    requests.get(temp_url, headers=header, proxies=temp_proxy)
                else:
                    print("IP: {} 不能使用，正常尝试下一个...".format(proxy.get("ip")))
                    time.sleep(0.1)
                    continue
            except Exception as e:
                print('=========wrong: {}========='.format(e))
                time.sleep(0.1)
            time.sleep(1)


if __name__ == "__main__":
    auto_click()