爬取豆瓣电影top250
爬取豆瓣电影top250
import requests import re import codecs from bs4 import BeautifulSoup from openpyxl import Workbook wb = Workbook() dest_filename = '电影.xlsx' ws1 = wb.active ws1.title = "电影top250" DOWNLOAD_URL = 'http://movie.douban.com/top250/' def download_page(url): """获取url地址页面内容""" headers = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36' } data = requests.get(url, headers=headers).content return data def get_li(doc): soup = BeautifulSoup(doc, 'html.parser') ol = soup.find('ol', class_='grid_view') name = [] # 名字 star_con = [] # 评价人数 score = [] # 评分 info_list = [] # 短评 for i in ol.find_all('li'): detail = i.find('div', attrs={'class': 'hd'}) movie_name = detail.find( 'span', attrs={'class': 'title'}).get_text() # 电影名字 level_star = i.find( 'span', attrs={'class': 'rating_num'}).get_text() # 评分 star = i.find('div', attrs={'class': 'star'}) star_num = star.find(text=re.compile('评价')) # 评价 info = i.find('span', attrs={'class': 'inq'}) # 短评 if info: # 判断是否有短评 info_list.append(info.get_text()) else: info_list.append('无') score.append(level_star) name.append(movie_name) star_con.append(star_num) page = soup.find('span', attrs={'class': 'next'}).find('a') # 获取下一页 if page: return name, star_con, score, info_list, DOWNLOAD_URL + page['href'] return name, star_con, score, info_list, None def main(): url = DOWNLOAD_URL name = [] star_con = [] score = [] info = [] while url: doc = download_page(url) movie, star, level_num, info_list, url = get_li(doc) name = name + movie star_con = star_con + star score = score + level_num info = info + info_list for (i, m, o, p) in zip(name, star_con, score, info): col_A = 'A%s' % (name.index(i) + 1) col_B = 'B%s' % (name.index(i) + 1) col_C = 'C%s' % (name.index(i) + 1) col_D = 'D%s' % (name.index(i) + 1) ws1[col_A] = i ws1[col_B] = m ws1[col_C] = o ws1[col_D] = p wb.save(filename=dest_filename) if __name__ == '__main__': main()