python爬虫，多线程与生产者消费者模式

• 使用队列完成生产者消费者模式
• 使用类创建多线程提高爬虫速度

'''
https://sc.chinaz.com/tupian/index.html
https://sc.chinaz.com/tupian/index_2.html
https://sc.chinaz.com/tupian/index_3.html
'''from threading import Thread
from queue import Queue
import requests
from bs4 import BeautifulSoup
import osheaders = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36 Edg/116.0.1938.69',
}
class Put_Thread(Thread):def __init__(self, url_queue, img_queue):super().__init__()self.url_queue = url_queueself.img_queue = img_queuedef run(self):while not self.url_queue.empty():url = self.url_queue.get()self.fetch_url(url)def fetch_url(self, url):response = requests.get(url, headers=headers)response.encoding = 'utf-8'soup = BeautifulSoup(response.text, 'lxml')data_list = soup.find_all('img', class_='lazy')for i in data_list:title = i.get('alt')href = 'https:' + i.get('data-original').replace('_s', '')self.img_queue.put((title, href))class Get_Thread(Thread):def __init__(self, img_queue):super().__init__()self.img_queue = img_queuedef run(self):while True:try:img_data = self.img_queue.get(timeout=3)except:breakelse:title, href = img_dataif not os.path.exists('./image'):os.mkdir('./image')with open('./image/' + title + '.jpg', 'wb') as f:resp = requests.get(href, headers=headers).contentf.write(resp)print(title, '保存成功！')def main():'''存放url'''url_queue = Queue()'''存放图片的地址和名称'''img_queue = Queue()url_queue.put('https://sc.chinaz.com/tupian/index.html')for i in range(1,11):url = 'https://sc.chinaz.com/tupian/index_{}.html'.format(i)url_queue.put(url)for i in range(41):t1 = Put_Thread(url_queue, img_queue)t1.start()t2 = Get_Thread(img_queue)t2.start()if __name__ == '__main__':main()print('\n************主线程已结束************\n')

• 通过队列可以让线程之间进行通信
• 创建继承Thread的类创建线程，run()会在线程start时执行
• 吃cpu性能