爬虫(9)实战爬取电影天堂的1000+最新电影

系统管理员 2021-08-28 18:30 892阅读 0赞

# 文章来因: #

**客官们,久等了,在家上网课,上的无聊,想看个电影放松一下,但是却不知道看啥电影,想起最近学习的爬虫,于是找电影天堂爬个电影信息,不就知道看那个电影了,上菜**

### 菜单 ###

*  文章来因:
 *  实战内容:直接上代码,重要的地方有注释
 *  写在后面的话:

# 实战内容:直接上代码,重要的地方有注释 #

**各位客官,那个菜不和胃口,可以翻看前面的菜单**  
[爬虫(1)爬虫概述,爬虫抓包工具][1]  
[爬虫(2)urllib和parse库的介绍和常用函数介绍和使用][2_urllib_parse]  
[爬虫(3)request.Request类的介绍和简单爬虫实战][3_request.Request]  
[爬虫(4)ProxyHandler处理器(代理设置)][4_ProxyHandler]  
[爬虫(5)一文搞懂cookie原理和使用(客官里面请,下饭文章吃饱再走)][5_cookie]  
[爬虫(6)cookie信息保存到本地和加载][6_cookie]  
[爬虫(7)一文搞懂爬虫的网络请求,requests库的使用][7_requests]  
[Xpath详解][Xpath]  
[爬虫实战(8)-爬取豆瓣网最近要上映的电影][8_-]

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzQyMjIz_size_16_color_FFFFFF_t_70]  
本文中的很多注释,都是在爬虫时的一些思想过程,代码不是一蹴而就,需要细细分析,“步步为营”

#encoding: utf-8
    
    import requests
    from lxml import etree
    import time
    import csv
    from retrying import retry
    BASE_DOMAIN = 'https://www.dytt8.net/'
    headers = { 
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.92 Safari/537.36',
    
    }
    
    
    @retry(stop_max_attempt_number=5)
    def get_detail_urls(url):
        '''获取一页的所有的电影的url'''
    
    
        response = requests.get(url, headers=headers,timeout=3)
        if response.status_code !=200:
            raise requests.RequestException('My_request_get error!!!')
        # 查看网页的编码方式,网页是什么编码方式就用什么方式解码
        text = response.content.decode('gbk', 'ignore')
    
        html = etree.HTML(text)
        detail_urls = html.xpath("//table[@class= 'tbspan']//a/@href")
        detail_urls = map(lambda url:BASE_DOMAIN+url,detail_urls)
        return detail_urls
    @retry(stop_max_attempt_number=5)
    def parse_detall_page(url):
        """解析电影的详情页面的信息"""
        movie ={ }
        response = requests.get(url,headers=headers,timeout=3)
        text = response.content.decode('gbk','ignore')
        html = etree.HTML(text)
        title = html.xpath("//div/div/div/h1/font/text()")[0]
        movie['title']=title
        # for x in title:
        # print(title)
        zoom = html.xpath("//div[@id='Zoom']")[0]
        # print(zoom)
        try:
            img = zoom.xpath(".//img/@src")[0]
            movie['imgage']=img
        except IndexError:
            pass
        infos = zoom.xpath(".//text()")
        # print(infos)
        for index,info in enumerate(infos):
            ##enumerate返回两个值,一个是信息,一个是下标
            if info.startswith('◎年\u3000\u3000代'):
                #替换年代并去除前后空格
                info= info.replace("◎年\u3000\u3000代","").strip()
                movie["year"]= info
            elif info.startswith("◎产　　地"):
                info = info.replace("◎产　　地","").strip()
                movie["country"] = info
            elif info.startswith("◎类　　别"):
                info = info.replace("◎类　　别","").strip()
                movie["type"] =info
            elif info.startswith("◎语　　言"):
                info = info.replace("◎语　　言","").strip()
                movie["language"]=info
            elif info.startswith("◎片　　长"):
                info = info.replace("◎片　　长", "").strip()
                movie["timelong"] = info
            elif info.startswith("◎豆瓣评分"):
                info = info.replace("◎豆瓣评分","").strip()
                movie["pingfen"]=info
            elif info.startswith("◎导　　演"):
                info = info.replace("◎导　　演","").strip()
                movie["daoyan"]=info
            elif info.startswith("◎主　　演"):
                info = info.replace("◎主　　演","").strip()
                actors =[info]
                for x in range(index+1,len(infos)):
                    actor  = infos[x].strip()
                    if actor.startswith("◎"):
                        break
                    actors.append(actor)
                # print(actors)
                movie['actors']= actors
            elif info.startswith("◎简　　介"):
                info  = info.replace("◎简　　介","")
                for x  in range(index+1,len(infos)):
                    profile = infos[x].strip()
                    if profile.startswith("【下载地址】"):
                        break
                    # print(profile)
                movie["profile"] = profile
        download = html.xpath("//td[@bgcolor='#fdfddf']/a/@href")[0]
        movie['download_url'] = download
        return movie
    
    
    
        # yiming = html.xpath("//p/br[1]")[0]
        # movie['yiming']= yiming
        # pianming = html.xpath("//p/br[2]")[0]
        # movie["pianming"]=pianming
        # year =html.xpath("//p/br[3]")[0]
        # movie["year"]=year
        # address = html.xpath("//p/br[4]")[0]
        # movie["address"]=address
        # leibie = html.xpath("//p/br[5]")[0]
        # movie["leibie"]=leibie
        # uptime = html.xpath("//p/br[8]")[0]
        # movie["uptime"]= uptime
        # pingfen = html.xpath("//p/br[10]")[0]
        # movie["pingfen"]=pingfen
        # timelong= html.xpath("//p/br[12]")[0]
        # movie["timelong"]= timelong
    
    
    def spider():
        """页面滚动"""
        base_url =  'https://www.dytt8.net/html/gndy/dyzz/list_23_{}.html'
        movies = []
        for x in range(1,100):
            #第一个for循环,是用来控制页数
            #爬取1-10页
            url = base_url.format(x)
            # print(url)
            #需要先放到get_detail_urls中
            details_urls = get_detail_urls(url)
            for details_url in details_urls:
                #第二个for循环时遍历一页中所有的电影详情的url
                movie = parse_detall_page(details_url)#返回一个movie的字典
                movies.append(movie)
    
                print(movies)
            # break
            # break
                header = { 
                    'title',
                    'imgage',
                    'year',
                    'country',
                    'type',
                    'language',
                    'pingfen',
                    'timelong',
                    'daoyan',
                    'actors',
                    'profile',
                    'download_url'
                }
                with open('dainyingtiantang3.csv', 'w', encoding='utf-8', newline='')as fp:
                    writer = csv.DictWriter(fp, header)
                    # csv.writeheader()
                    # writer.writerow(['1','2'',3','4'])
                    writer.writerows(movies)
    
    
    
    
    if __name__ == '__main__':
        spider()
    
    
    
    
    
        # uls = html.xpath('//div[@ class = "co_content8"]/ul')[0]
        # tables = uls.xpath(".//table")
        # for table in tables:
        # # 测试拿到了所有的table
        # # print(etree.tostring(table, encoding=('utf-8')).decode('utf-8'))
        # names = table.xpath(".//tr[2]/td[2]/b/a/text()")[0]
        #
        # #这行代码相当于下面的python代码
        # #lambda表达式表示其中的元素每一项都做同一件事
        # hrefs = table.xpath(".//tr[2]/td[2]/b/a/@href")
        # jianjie = table.xpath(".//tr[4]/td[1]/text()")[0]
        #
        # urls = map(lambda url: BASE_DOMAIN + hrefs, hrefs) # lambda表达式,相当于python中一个匿名的函数
        # return names,urls,jianjie
            # hrefs = table.xpath(".//tr[2]/td[2]/b/a/@href")[0]
            # def abc(url):
            # return BASE_DOMAIN+url
            # index = 0
            # for href in hrefs:
            # href= abc(hrefs)
            # hrefs[index]=href
            # index += 1
    
    
            # print(BASE_DOMAIN + hrefs)
    
    
        # for herf in herfs:
        # print(etree.tostring(herf,encoding=('utf-8')).decode('utf-8'))
        # break
        # print(etree.tostring(herfs, encoding=('utf-8')).decode('utf-8'))

**最后:我为了让客官们方便查看,我把爬取的数据存储到了Excel中,各位客官放心"食用"**  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzQyMjIz_size_16_color_FFFFFF_t_70 1]

# 写在后面的话: #

最近一段时间都在学习爬虫系列,各位客官有兴趣的不妨`点个赞`?  
最后送大家一句话共勉:**一约既定,万山无阻**  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzQyMjIz_size_16_color_FFFFFF_t_70 2]

[1]: https://blog.csdn.net/qq_40742223/article/details/105444185
[2_urllib_parse]: https://blog.csdn.net/qq_40742223/article/details/105459144
[3_request.Request]: https://blog.csdn.net/qq_40742223/article/details/105460994
[4_ProxyHandler]: https://blog.csdn.net/qq_40742223/article/details/105462013
[5_cookie]: https://blog.csdn.net/qq_40742223/article/details/105480901
[6_cookie]: https://blog.csdn.net/qq_40742223/article/details/105493136
[7_requests]: https://blog.csdn.net/qq_40742223/article/details/105521257
[Xpath]: https://blog.csdn.net/qq_40742223/article/details/105508320
[8_-]: https://blog.csdn.net/qq_40742223/article/details/105547863
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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzQyMjIz_size_16_color_FFFFFF_t_70 2]: /images/20210724/a85ca050637a4246a7412f2fe5ca2de7.png