2019-06-23--爬取豆瓣前250数据保存到本地
2019-06-23 本文已影响0人
heiqimingren
import requests
from bs4 import BeautifulSoup
import xlwt
import time
def request_douban(url):
try:
response = requests.get(url)
if response.status_code == 200:
return response.text
except requests.RequestException:
return None
book=xlwt.Workbook(encoding='utf-8',style_compression=0)
sheet=book.add_sheet('豆瓣电影Top250',cell_overwrite_ok=True)
sheet.write(0,0,'名称')
sheet.write(0,1,'图片')
sheet.write(0,2,'排名')
sheet.write(0,3,'评分')
sheet.write(0,4,'作者')
sheet.write(0,5,'简介')
n=1
print("123")
def save_to_excel(soup):
list = soup.find(class_='grid_view').find_all('li')
for item in list:
item_name = item.find(class_='title').string
item_img = item.find('a').find('img').get('src')
item_index = item.find(class_='').string
item_score = item.find(class_='rating_num').string
item_author = item.find('p').text
if(item.find(class_='inq')!=None):
item_intr = item.find(class_='inq').string
# print('爬取电影:' + item_index + ' | ' + item_name +' | ' + item_img +' | ' + item_score +' | ' + item_author +' | ' + item_intr )
print('爬取电影:' + item_index + ' | ' + item_name +' | ' + item_score +' | ' + item_intr )
global n
sheet.write(n, 0, item_name)
sheet.write(n, 1, item_img)
sheet.write(n, 2, item_index)
sheet.write(n, 3, item_score)
sheet.write(n, 4, item_author)
sheet.write(n, 5, item_intr)
n = n + 1
def main(page):
url = 'https://movie.douban.com/top250?start='+ str(page*25)+'&filter='
html = request_douban(url)
soup = BeautifulSoup(html, 'lxml')
save_to_excel(soup)
if __name__ == '__main__':
start = time.time()
for i in range(0, 10):
main(i)
end = time.time()
print("完成时间: %f s" % (end - start)) #
book.save(u'豆瓣最受欢迎的250部电影.xlsx')