datawhale爬虫task01

#使用requests、正则表达式，爬取豆瓣电影top250排行榜
#要求抓取名次、影片名称、年份、导演等字段。


import requests
import re
import csv
import time
class doubanTop250():

    film_list = []

    #1.发送请求
    def send_request(self,url):
        #1.1添加请求头
        headers= {'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36"}
        #1.3 发送请求
        response = requests.get(url=url,headers=headers)
        print(response.status_code)
        return response

    #2.解析数据
    def parse(self,response):
        data = response.content.decode()
        rank  = re.findall('<em class="">(d+)</em>', data)
        name = re.findall('<img width="100" alt="(.*) src=', data)
        country =  re.findall('&nbsp;/&nbsp;(.*)&nbsp;/&nbsp;', data)
        director = re.findall('导演:(.*)', data)
        score = re.findall('<span class="rating_num" property="v:average">(.*)</span>', data)
        for i in range(0, len(rank)):
            film_dict = {}
            film_dict['rank'] = rank[i]
            film_dict['name'] = name[i]
            film_dict['country'] = country[i]
            film_dict['director'] = director[i]
            film_dict['score'] = score[i]
            self.film_list.append(film_dict)


    #3.存储数据
    def save_data(self):
        #0.创建开启文件
        csv_file = open('top250.csv', 'w', encoding='utf-8')
        #1.创建csv写入器
        csv_writer = csv.writer(csv_file)
        #2.写入表头
        csv_writer.writerow(self.film_list[0].keys())
        #3.写入内容
        csv_list = []
        for film in self.film_list:
            film_data = film.values()
            csv_list.append(film_data)
        csv_writer.writerows(csv_list)
        #4.关闭文件
        csv_file.close()

        pass
    #4.运行
    def run(self):
        # 1.1目标url地址
        # 拼接url
        base_url = "https://movie.douban.com/top250?start="
        for i in range(0,225,25):
            final_url = base_url + str(i)
            #1.发送请求，返回response对象
            response = self.send_request(final_url)

            #2.解析response数据
            self.parse(response)
            time.sleep(5)
        #3.保存数据
        self.save_data()



doubanTop250().run()