豆瓣TOP250電影爬蟲

轉載自網路

import requests
import re
import codecs
from bs4 import BeautifulSoup
from openpyxl import Workbook
wb = Workbook()
dest_filename = ‘豆瓣TOP250電影.xlsx’
ws1 = wb.active
ws1.title = “電影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()

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Machine Learning / Deep Learning / Python / Flutter cakeresume.com/yanwei-liu

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