关于python:使用python爬取豆瓣电影排行榜

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有时候一部电影给人的启发, 比一本书给人的启发更大, 可能取得极高的评分, 就阐明这部电影取得了寰球观众的认可, 人生在遭逢蛊惑的时候, 一部高分电影能够给人解困。为了避免大家在家剧荒,小编应用 python 爬取了豆瓣的豆瓣电影排行 TOP250,首先让咱们输出网址:

https://movie.douban.com/top250?start=0&filter=

而后咱们剖析链接的法则:

https://movie.douban.com/top250?start=25&filter=

……

https://movie.douban.com/top250?start=50&filter=

……

https://movie.douban.com/top250?start=225&filter=

综上 start 值为 0,25,50…225,则看出数值的步长为 25,最大值为 225,找到链接的法则后,就让咱们来查看元素的获取。同样 F12 审查元素,

图片
由此咱们能够看出,外面的每个电影是由 ol 标签上面的 li 标签包裹着,咱们间接取到 li 的值就能够了,获取标签如下:

ol = soup.find('ol')
li = ol.find_all('li')

接下来让咱们进入编码环节:

import re
import requests
from bs4 import BeautifulSoup
from openpyxl import Workbook
from openpyxl.styles import Alignment

def top250():
        wb = Workbook()
        ws = wb['Sheet']
        num = 0
        num1 = 0
        lst = []
        name_lst = []
        dy_lst = []
        zy_lst = []
        time_lst = []
        country_lst = []
        leixing_lst = []
        pj_lst = []
        people_lst = []
        quote_lst = []
        headers = {
                "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36 Edg/81.0.416.68",
        }
        while num <= 225:
                url = 'https://movie.douban.com/top250?start=' + str(num) + '&filter='
                with requests.get(url=url, headers=headers) as r:
                        if r.status_code == 200:
                                r.encoding = r.apparent_encoding
                                soup = BeautifulSoup(r.text, 'html.parser')
                                ol = soup.find('ol')
                                li = ol.find_all('li')
                                for i in li:
                                        name = i.find('span').text
                                        p = i.find('p')
                                        p = str(p).split('<br/>', 1)
                                        fst = p[0].split('>', 1)[1]
                                        sec = p[1].split('<', 1)[0]
                                        daoyan = fst.split('主', 1)[0]
                                        daoyan = daoyan.replace('导演:', '')
                                        daoyan = daoyan.replace('\xa0', '')
                                        daoyan = daoyan.replace('\n', '')
                                        try:
                                                zhuyan = fst.split('主演:', 1)[1]
                                        except:
                                                zhuyan = ''time = sec.split(' / ', 2)[0]
                                        time = time.replace('\xa0', '')
                                        time = time.replace('\n', '')
                                        time = re.findall(r'\d{4}', time)[-1]
                                        country = sec.split('\xa0/\xa0', 2)[1]
                                        country = country.replace('\xa0', '')
                                        type = sec.split('\xa0/\xa0', 2)[2]
                                        type = type.replace('\xa0', '')
                                        type = type.replace('\n', '')
                                        star = i.find('div', attrs={'class': "star"})
                                        span = star.find_all('span')
                                        pingjia = span[1].text
                                        people = span[3].text.split('评估', 1)[0]
                                        try:
                                                quote = i.find('p', attrs={'class': "quote"}).text
                                                quote = quote.replace('\n', '')
                                        except:
                                                quote = ''
                                        name_lst.append(name)
                                        dy_lst.append(daoyan)
                                        zy_lst.append(zhuyan)
                                        time_lst.append(time)
                                        country_lst.append(country)
                                        leixing_lst.append(type)
                                        pj_lst.append(pingjia)
                                        people_lst.append(people)
                                        quote_lst.append(quote)

                                num1 += 1
                                print('第 {} 页爬取结束!'.format(num1))
                                if num == 225:
                                        print('爬取完结,开始写入 excel。。。')
                                        paiming = list(range(1, 251))
                                        lst.append(paiming)
                                        lst.append(name_lst)
                                        lst.append(dy_lst)
                                        lst.append(zy_lst)
                                        lst.append(time_lst)
                                        lst.append(country_lst)
                                        lst.append(leixing_lst)
                                        lst.append(pj_lst)
                                        lst.append(people_lst)
                                        lst.append(quote_lst)
                                        head = ['排名', '电影名称', '导演', '主演', '年份', '地区', '类型', '评分', '评估人数', '一句简介']
                                        ws.append(head)
                                        for i in range(len(lst)):
                                                for j in range(len(lst[0])):
                                                        ws.cell(j + 2, i + 1).value = lst[i][j]
                                        print('写入 excel 实现!')
                                        for cell in ws['1']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        for cell in ws['A']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        for cell in ws['B']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        for cell in ws['E']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        for cell in ws['H']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        for cell in ws['I']:
                                                cell.alignment = Alignment(horizontal='center', vertical='center')
                                        ws.column_dimensions['B'].width = 25
                                        ws.column_dimensions['I'].width = 13
                                        wb.save('豆瓣电影 top250.xlsx')
                                num += 25
                        else:
                                print('失败!')

if __name__ == '__main__':
        print('开始爬取!')
        top250()

右击运行代码,即可执行,以后文件夹内会生成一个豆瓣电影 top250 xlsx 文件,所有电影的信息都爬取胜利。如下图即代表程序运行胜利。

图片
以上就是明天给大家分享的内容。

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