Python 爬虫，多线程爬虫，任务队列Queue

雨点打透心脏的1/2处 2022-03-26 04:24 173阅读 0赞

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hvdXlhbmh1YTE_size_16_color_FFFFFF_t_70][]

**demo.py（多线程爬虫）：**

# coding=utf-8
    import requests
    from lxml import etree
    import threading
    from queue import Queue
    
    class QiubaiSpdier:
        def __init__(self):
            self.url_temp = "https://www.qiushibaike.com/8hr/page/{}/"
            self.headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36"}
            self.url_queue = Queue()
            self.html_queue  = Queue()
            self.content_queue = Queue()
            
        def get_url_list(self):
            for i in range(1,14):
                self.url_queue.put(self.url_temp.format(i))
    
        def parse_url(self):
            while True:
                url = self.url_queue.get()  # 从任务队列中取出一个任务
                print(url)
                response = requests.get(url,headers=self.headers)
                self.html_queue.put(response.content.decode())
                self.url_queue.task_done()   # 表示该任务已经完成。 配合join使用
    
        def get_content_list(self): # 提取数据
            while True:
                html_str = self.html_queue.get()
    
                html = etree.HTML(html_str)
                div_list = html.xpath("//div[@id='content-left']/div")  # 分组
                content_list = []
                for div in div_list:
                    item= {}
                    item["content"] = div.xpath(".//div[@class='content']/span/text()")
                    item["content"] = [i.replace("\n","") for i in item["content"]]
                    item["content_img"] = div.xpath(".//div[@class='thumb']/a/img/@src")
                    item["content_img"] = "https:"+item["content_img"][0] if len(item["content_img"])>0 else None
                    content_list.append(item)
                self.content_queue.put(content_list)
                self.html_queue.task_done()
    
        def save_content_list(self): # 保存
            while True:
                content_list = self.content_queue.get()
                for i in content_list:
                    # print(i)
                    pass
                self.content_queue.task_done()
    
        def run(self): # 实现主要逻辑
            thread_list = []
            # 1.url_list
            t_url = threading.Thread(target=self.get_url_list)
            thread_list.append(t_url)
            # 2.遍历，发送请求，获取响应
            for i in range(20):
                t_parse = threading.Thread(target=self.parse_url)
                thread_list.append(t_parse)
            # 3.提取数据
            for i in range(2):
                t_html = threading.Thread(target=self.get_content_list)
                thread_list.append(t_html)
            # 4.保存
            t_save = threading.Thread(target=self.save_content_list)
            thread_list.append(t_save)
            for t in thread_list:
                t.setDaemon(True)  # 把子线程设置为守护线程，主线程结束，子线程自动结束
                t.start()
    
            for q in [self.url_queue,self.html_queue,self.content_queue]:
                q.join()  # 让主线程等待阻塞，等待队列的任务完成之后再结束主线程
                          # 当队列中的所有任务都完成(task_done)后，才会解阻塞。
    
            print("主线程结束")
    
    
    if __name__ == '__main__':
        qiubai = QiubaiSpdier()
        qiubai.run()

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hvdXlhbmh1YTE_size_16_color_FFFFFF_t_70]: /images/20220326/2566134add81487fa280bfdeb0a2534f.png