本文介绍如何结合前面讲解的基本知识,采用requests,正则表达式,cookies结合起来,做一次实战,抓取猫眼电影排名信息。
用requests写一个基本的爬虫
排行信息大致如下图
网址链接为http://maoyan.com/board/4?offset=0
我们通过点击查看源文件,可以看到网页信息
每一个电影的html信息都是下边的这种结构
<i class="board-index board-index-3">3</i> <a href="/films/2641" title="罗马假日" class="image-link" data-act="boarditem-click" data-val="{movieId:2641}"> <img src="//ms0.meituan.net/mywww/image/loading_2.e3d934bf.png" alt="" class="poster-default" /> <img data-src="http://p0.meituan.net/movie/54617769d96807e4d81804284ffe2a27239007.jpg@160w_220h_1e_1c" alt="罗马假日" class="board-img" /> </a> <div class="board-item-main"> <div class="board-item-content"> <div class="movie-item-info"> <p class="name"><a href="/films/2641" title="罗马假日" data-act="boarditem-click" data-val="{movieId:2641}">罗马假日</a></p> <p class="star"> 主演:格利高里·派克,奥黛丽·赫本,埃迪·艾伯特 </p>
其实对我们有用的就是 img src(图片地址) title 电影名 star 主演。
所以根据前边介绍过的正则表达式写法,可以推导出正则表达式
compilestr = r'''<dd>.*?<i class="board-index.*?<img data-src="(.*?)@.*?title="(.*?)".*?<p class="star"> (.*?)</p>.*?<p class="releasetime">.*?(.*?)</p'''
‘.’表示匹配任意字符,如果正则表达式用re.S模式,.还可以匹配换行符,’‘表示匹配前一个字符0到n个,’?’表示非贪婪匹配,
所以’.?’可以理解为匹配任意字符。接下来写代码打印我们匹配的条目
import requests import re 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' if __name__ == "__main__": headers={'User-Agent':USER_AGENT, } session = requests.Session() req = session.get('http://maoyan.com/board/4?offset=0',headers = headers, timeout = 5) compilestr = r'<dd>.*?<i class="board-index.*?<img data-src="(.*?)@.*?title="(.*?)".*?<p class="star">(.*?)</p>.*?<p class="releasetime">.*?(.*?)</p' #print(req.content) pattern = re.compile(compilestr,re.S) #print(req.content.decode('utf-8')) lists = re.findall(pattern,req.content.decode('utf-8')) for item in lists: #print(item) print(item[0].strip()) print(item[1].strip()) print(item[2].strip()) print(item[3].strip()) print(' ')
运行一下,结果如下
看来我们抓取到数据了,我们只爬取了这一页的信息,接下来我们分析第二页,第三页的规律,点击第二页,网址变为’http://maoyan.com/board/4?offset=10',点击第三页网址变为'http://maoyan.com/board/4?offset=20',所以每一页的offset偏移量为20,这样我们可以计算偏移量达到抓取不同页码的数据,将上一个程序稍作修改,变为可以爬取n页数据的程序
import requests import re import time 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' class MaoYanScrapy(object): def __init__(self,pages=1): self.m_session = requests.Session() self.m_headers = {'User-Agent':USER_AGENT,} self.m_compilestr = r'<dd>.*?<i class="board-index.*?<img data-src="(.*?)@.*?title="(.*?)".*?<p class="star">(.*?)</p>.*?<p class="releasetime">.*?(.*?)</p' self.m_pattern = re.compile(self.m_compilestr,re.S) self.m_pages = pages def getPageData(self): try: for i in range(self.m_pages): httpstr = 'http://maoyan.com/board/4?offset='+str(i) req = self.m_session.get(httpstr,headers=self.m_headers,timeout=5) lists = re.findall(self.m_pattern,req.content.decode('utf-8')) time.sleep(1) for item in lists: img = item[0] print(img.strip()+' ') name = item[1] print(name.strip()+' ') actor = item[2] print(actor.strip()+' ') fiemtime = item[3] print(fiemtime.strip()+' ') except: print('get error') if __name__ == "__main__": maoyanscrapy = MaoYanScrapy() maoyanscrapy.getPageData()
运行下,效果和之前一样,只是支持了页码的传参了。
下面继续完善下程序,把每个电影的图片抓取并保存下来,这里面用到了创建文件夹,路径拼接,文件保存的基础知识,综合运用如下
import requests import re import time import os 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' class MaoYanScrapy(object): def __init__(self,pages=1): self.m_session = requests.Session() self.m_headers = {'User-Agent':USER_AGENT,} self.m_compilestr = r'<dd>.*?<i class="board-index.*?<img data-src="(.*?)@.*?title="(.*?)".*?<p class="star">(.*?)</p>.*?<p class="releasetime">.*?(.*?)</p' self.m_pattern = re.compile(self.m_compilestr,re.S) self.m_pages = pages self.dirpath = os.path.split(os.path.abspath(__file__))[0] def getPageData(self): try: for i in range(self.m_pages): httpstr = 'http://maoyan.com/board/4?offset='+str(i) req = self.m_session.get(httpstr,headers=self.m_headers,timeout=5) lists = re.findall(self.m_pattern,req.content.decode('utf-8')) time.sleep(1) for item in lists: img = item[0] print(img.strip()+' ') name = item[1] dirpath = os.path.join(self.dirpath,name) if(os.path.exists(dirpath)==False): os.makedirs(dirpath) print(name.strip()+' ') actor = item[2] print(actor.strip()+' ') fiemtime = item[3] print(fiemtime.strip()+' ') txtname = name+'.txt' txtname = os.path.join(dirpath,txtname) if(os.path.exists(txtname)==True): os.remove(txtname) with open (txtname,'w') as f: f.write(img.strip()+' ') f.write(name.strip()+' ') f.write(actor.strip()+' ') f.write(fiemtime.strip()+' ') picname=os.path.join(dirpath,name+'.'+img.split('.')[-1]) if(os.path.exists(picname)): os.remove(picname) req=self.m_session.get(img,headers=self.m_headers,timeout=5) time.sleep(1) with open(picname,'wb') as f: f.write(req.content) except: print('get error') if __name__ == "__main__": maoyanscrapy = MaoYanScrapy() maoyanscrapy.getPageData()
运行一下,可以看到在文件的目录里多了几个文件夹
点击一个文件夹,看到里边有我们保存的图片和信息
好了,到此为止,正则表达式和requests结合,做的爬虫实战完成。
源码地址:
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