python爬取盘搜的有效连接

 

 由于盘搜搜索出来的连接有不少已经失效了，影响找数据的效率，所以想到了用爬虫来过滤出有效的连接，顺便练练手~

这是本次爬取的目标网址http://www.pansou.com，首先先搜索个python，以后打开开发者工具，

能够发现这个连接下的json数据就是咱们要爬取的数据了，把多余的参数去掉，

剩下的连接格式为http://106.15.195.249:8011/search_new?q=python&p=1，q为搜索内容，p为页码

 

如下是代码实现：

import requests
import json
from multiprocessing.dummy import Pool as ThreadPool
from multiprocessing import Queue
import sys

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36"
}
q1 = Queue()
q2 = Queue()
urls = [] # 存取url列表

# 读取url
def get_urls(query):
    # 遍历50页
    for i in range(1,51):
        # 要爬取的url列表，返回值是json数据，q参数是搜索内容，p参数是页码
        url = "http://106.15.195.249:8011/search_new?&q=%s&p=%d" % (query,i)
        urls.append(url)

# 获取数据
def get_data(url):
    print("开始加载，请等待...")
    # 获取json数据并把json数据转换为字典
    resp = requests.get(url, headers=headers).content.decode("utf-8")
    resp = json.loads(resp)

    # 若是搜素数据为空就抛出异常中止程序
    if resp['list']['data'] == []:
        raise Exception

    # 遍历每一页数据的长度
    for num in range(len(resp['list']['data'])):
        # 获取百度云连接
        link = resp['list']['data'][num]['link']
        # 获取标题
        title = resp['list']['data'][num]['title']
        # 访问百度云连接，判断若是页面源代码中有“失效时间：”这段话的话就代表连接有效，连接无效的页面是没有这段话的
        link_content = requests.get(link, headers=headers).content.decode("utf-8")
        if "失效时间：" in link_content:
            # 把标题放进队列1
            q1.put(title)
            # 把连接放进队列2
            q2.put(link)
            # 写入csv文件
            with open("wangpanziyuan.csv", "a+", encoding="utf-8") as file:
                file.write(q1.get()+","+q2.get() + "\n")
    print("ok")

if __name__ == '__main__':
    # 括号内填写搜索内容
    get_urls("python")
    # 建立线程池
    pool = ThreadPool(3)
    try:
        results = pool.map(get_data, urls)
    except Exception as e:
        print(e)
    pool.close()
    pool.join()
    print("退出")