这篇文章主要讲解了基于线程池提升request模块效率的方法，内容清晰明了，对此有兴趣的小伙伴可以学习一下，相信大家阅读完之后会有帮助。

普通方法：爬取梨视频

import reimport timeimport randomimport requestsfrom lxml import etreestart_time = time.time()url = "https://www.pearvideo.com/category_3"headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36"}ex = 'srcUrl="(.*?)",vdoUrl=srcUrl'def request_video(url): """ 向视频链接发送请求 """ return requests.get(url=url, headers=headers).contentdef save_video(content): """ 将视频的二进制数据保存到本地 """ video_name = str(random.randint(100, 999)) + ".mp4" with open(video_name, 'wb') as f: f.write(content) # 获取首页源码page_text = requests.get(url=url, headers=headers).texttree = etree.HTML(page_text)li_list = tree.xpath('//ul[@class="listvideo-list clearfix"]/li')video_url_list = list()for li in li_list: detail_url = "https://www.pearvideo.com/" + li.xpath('./div/a/@href')[0] # 获取该视频页面的源码 detail_page_text = requests.get(url=detail_url, headers=headers).text # 正则匹配视频的URL video_url = re.findall(ex, detail_page_text, re.S)[0] video_url_list.append(video_url) content = request_video(video_url) save_video(content)print("执行耗时: ", time.time() - start_time)

执行耗时: 147.22410440444946

使用线程池：爬取梨视频

# 使用线程池爬去梨视频的import reimport timeimport randomimport requestsfrom lxml import etreefrom multiprocessing.dummy import Poolstart_time = time.time()url = "https://www.pearvideo.com/category_3"headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36"}ex = 'srcUrl="(.*?)",vdoUrl=srcUrl'def request_video(url): """ 向视频链接发送请求 """ return requests.get(url=url, headers=headers).contentdef save_video(content): """ 将视频的二进制数据保存到本地 """ video_name = str(random.randint(100, 999)) + ".mp4" with open(video_name, 'wb') as f: f.write(content) # 获取首页源码page_text = requests.get(url=url, headers=headers).texttree = etree.HTML(page_text)li_list = tree.xpath('//ul[@class="listvideo-list clearfix"]/li')video_url_list = list()for li in li_list: detail_url = "https://www.pearvideo.com/" + li.xpath('./div/a/@href')[0] # 获取该视频页面的源码 detail_page_text = requests.get(url=detail_url, headers=headers).text # 正则匹配视频的URL video_url = re.findall(ex, detail_page_text, re.S)[0] video_url_list.append(video_url) pool = Pool(4) #使用线程池将视频的二进制数据下载下来content_list = pool.map(request_video, video_url_list) # 使用线程池将视频的二进制数据保存到本地pool.map(save_video, content_list) print("执行耗时: ", time.time() - start_time)

看完上述内容，是不是对基于线程池提升request模块效率的方法有进一步的了解，如果还想学习更多内容，欢迎关注亿速云行业资讯频道。