Ppython爬取微博文字与图片(不使用Cookie) 网页版微博是纯正的HTML，而且调用的微博自家的API来获取图片。网址:https://m.weibo.cn/api/container/即为微博api里面包含了个人的信息与微博文字与图片存储地址。进入api页面我们可以很清晰的看到各种信息都用json存储起来了。我们再利用python中的json库提取出来即可。这比其它利用cookie模拟登陆要方便很多，我们只要输入被爬虫用户的微博ID然后运行便能自动爬取。ID从这个复制链接里面可以看出来。代码采用Python3# -*- coding: utf-8 -*- import urllib.request import json import requests import os path = 'C:\\Users\\dell\\Desktop\\weibo\\' id = '2093492691' proxy_addr = "122.241.72.191:808" pic_num = 0 weibo_name = "programmer" def use_proxy(url,proxy_addr): req=urllib.request.Request(url) req.add_header("User-Agent", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1.0") proxy=urllib.request.ProxyHandler({'http':proxy_addr}) opener=urllib.request.build_opener(proxy,urllib.request.HTTPHandler) urllib.request.install_opener(opener) data=urllib.request.urlopen(req).read().decode('utf-8','ignore') return data def get_containerid(url): data=use_proxy(url,proxy_addr) content=json.loads(data).get('data') for data in content.get('tabsInfo').get('tabs'): if(data.get('tab_type')=='weibo'): containerid=data.get('containerid') return containerid def get_userInfo(id): url='https://m.weibo.cn/api/container/getIndex?type=uid&value='+id data=use_proxy(url,proxy_addr) content=json.loads(data).get('data') profile_image_url=content.get('userInfo').get('profile_image_url') description=content.get('userInfo').get('description') profile_url=content.get('userInfo').get('profile_url') verified=content.get('userInfo').get('verified') guanzhu=content.get('userInfo').get('follow_count') name=content.get('userInfo').get('screen_name') fensi=content.get('userInfo').get('followers_count') gender=content.get('userInfo').get('gender') urank=content.get('userInfo').get('urank') print("微博昵称："+name+"\n"+"微博主页地址："+profile_url+"\n"+"微博头像地址："+profile_image_url+"\n"+"是否认证："+str(verified)+"\n"+"微博说明："+description+"\n"+"关注人数："+str(guanzhu)+"\n"+"粉丝数："+str(fensi)+"\n"+"性别："+gender+"\n"+"微博等级："+str(urank)+"\n") def get_weibo(id,file): global pic_num i=1 while True: url='https://m.weibo.cn/api/container/getIndex?type=uid&value='+id weibo_url='https://m.weibo.cn/api/container/getIndex?type=uid&value='+id+'&containerid='+get_containerid(url)+'&page='+str(i) try: data=use_proxy(weibo_url,proxy_addr) content=json.loads(data).get('data') cards=content.get('cards') if(len(cards)>0): for j in range(len(cards)): print("-----正在爬取第"+str(i)+"页，第"+str(j)+"条微博------") card_type=cards[j].get('card_type') if(card_type==9): mblog=cards[j].get('mblog') attitudes_count=mblog.get('attitudes_count') comments_count=mblog.get('comments_count') created_at=mblog.get('created_at') reposts_count=mblog.get('reposts_count') scheme=cards[j].get('scheme') text=mblog.get('text') if mblog.get('pics') != None: # print(mblog.get('original_pic')) # print(mblog.get('pics')) pic_archive = mblog.get('pics') for _ in range(len(pic_archive)): pic_num += 1 print(pic_archive[_]['large']['url']) imgurl = pic_archive[_]['large']['url'] img = requests.get(imgurl) f = open(path+weibo_name+'\\'+str(pic_num)+ str(imgurl[-4:]), 'ab') # 存储图片，多媒体文件需要参数b（二进制文件） f.write(img.content) # 多媒体存储content f.close() with open(file,'a',encoding='utf-8') as fh: fh.write("----第"+str(i)+"页，第"+str(j)+"条微博----"+"\n") fh.write("微博地址："+str(scheme)+"\n"+"发布时间："+str(created_at)+"\n"+"微博内容："+text+"\n"+"点赞数："+str(attitudes_count)+"\n"+"评论数："+str(comments_count)+"\n"+"转发数："+str(reposts_count)+"\n") i+=1 else: break except Exception as e: print(e) pass if __name__ == "__main__": if os.path.isdir(path+weibo_name): pass else: os.mkdir(path+weibo_name) file = path+weibo_name+'\\'+weibo_name+".txt" get_userInfo(id) get_weibo(id, file)最终的效果图(爬取的微博txt文件):

使用Python批量爬取美女图片 运行截图:相对于以前的版本此次增加自定义关键词实例代码:from bs4 import BeautifulSoup import requests,re,os headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36' } def Get_Url(url): response = requests.get(url, headers=headers).text soup = BeautifulSoup(response,'html.parser') for data in soup.find_all('a',class_='list-title text-md h-2x'): url_data = data.get('href') urls = "https://www.vmgirls.com/" + str(url_data) Down_Image(urls) print('-----------------------------------------------') print(urls) def Down_Image(url): response = requests.get(url, headers=headers).text soup = BeautifulSoup(response, 'html.parser') image_url = soup.find_all('img') for data in image_url: image_type = data.get('src').split('.')[-1] if image_type == 'jpg' or image_type == 'jpeg' or image_type == 'png': url_data = data.get('src') # print(url_data) dir_name = soup.find(class_='post-title h1').string if not os.path.exists(dir_name): os.mkdir(dir_name) # print(dir_name) image = requests.get("https:" + str(url_data), headers=headers).content file_name = url_data.split('/')[-1] # print(file_name) with open(dir_name + '/' + file_name, 'wb') as f: f.write(image) print('正在写入----->' + dir_name + '/' + file_name) if __name__ == '__main__': print(' ---------------------------------------------------------------------') print('| |') print('| Author:culprit --- iamdd |') print('| |') print(' ---------------------------------------------------------------------') print('支持搜索关键词(例如少女、小姐姐、青春。。。)') key = input('请输入关键词(默认回车不输入)：') if key == '': url = "https://www.vmgirls.com/" else: url = "https://www.vmgirls.com/?s=" + key Get_Url(url)