requests配合etree爬取豆瓣电影信息

柔情只为你懂 2021-12-09 04:35 450阅读 0赞

### 背景 ###

爬虫最常见的爬去方式就是requests+etree的方式了，用豆瓣电影的信息来做简单案例

url: [https://movie.douban.com/cinema/later/beijing/][https_movie.douban.com_cinema_later_beijing]

### 代码 ###

import requests
    from lxml import etree
    import pandas as pd
    class dangdang_home(object):
        def __init__(self):
            self.url = 'https://movie.douban.com/cinema/later/beijing/'
        def spider(self):
            #浏览器标识
            headers = {
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
            }
            resp = requests.get(self.url,headers=headers)
            data = etree.HTML(resp.text)
            # print(data)
            return data
        def parse_data(self,data):
            movie_info = []
            movie_list = data.xpath('//*[@id="showing-soon"]/div/div')
            for movie in movie_list:
                title = movie.xpath('h3/a/text()')[0]
                #print(title)
                info_list = movie.xpath('ul/li/text()')
                #print(info_list[0])
                time = info_list[0]
                type = info_list[1]
                country = info_list[2]
                wanted = movie.xpath('ul/li[4]/span/text()')[0]
                #想看人数数据截取
                wanted = (wanted[-4::-1])[::-1]
    
                movie_info.append({
                    "title":title,
                    "time":time,
                    "type":type,
                    "country":country,
                    "wanted":wanted
                })
    
            return movie_info
    
    if __name__ == "__main__":
        dangdang = dangdang_home()
        data = dangdang.spider()
        movie_list = dangdang.parse_data(data)
    
        #按照想看人数逆序排序
        movie_list = sorted(movie_list,key=lambda x:int(x['wanted']),reverse=True)
    
        for data in movie_list:
            print(data)
    
        #数据存入csv文件
        df = pd.DataFrame(movie_list)
        df.to_csv("movie.csv")
        #df.to_excel()

[https_movie.douban.com_cinema_later_beijing]: https://movie.douban.com/cinema/later/beijing/