from bs4 import BeautifulSoup
import openpyxl
import re
import urllib.request
import urllib.error
# 访问url
def ask_url(url):
# 伪装浏览器
head = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.163 Safari/537.36'}
req = urllib.request.Request(url, headers=head) # 包装
try:
response = urllib.request.urlopen(req, timeout=3) # 访问 超时3s结束
html = response.read().decode('utf-8') # 解码
return html # 返回url网页html源码
except urllib.request.HTTPError as e:
if hasattr(e, 'code'):
print(e.code)
except urllib.error.URLError as e:
if hasattr(e, 'reason'):
print(e.reason)
# 爬取网页
def crawl_web(base_url):
data_list = []
# re电影名
re_movie_name = re.compile(r'<span class="title">(.*?)</span>')
# re影片详情连接
re_movie_link = re.compile(r'<a class="" href="(.*?)">')
# re影片海报图片
re_movie_img = re.compile(r'<img.*src="(.*?)".*?>', re.S)
# re电影简介
re_movie_introduction = re.compile(r'<p class="">(.*?)</p>', re.S)
# re评分
re_movie_score = re.compile(
r'<span class="rating_num" property="v:average">(.*?)</span>')
# re评分人数
re_movie_judge = re.compile(r'<span>(.*?)人评价</span>')
# re一句话评价
re_moive_inq = re.compile(r'<span class="inq">(.*?)。*</span>')
for i in range(10):
url = base_url + str(i * 25)
html = ask_url(url) # 获取网页源码
soup = BeautifulSoup(html, 'html.parser') # 解析源码
for item in soup.find_all(class_='item'):
item = str(item).replace(u'xa0', ' ') # 获取的页面中有奇妙代码(●'◡'●),所以要去掉
data = []
# 获取需要的信息
movie_name = re.findall(re_movie_name, item)
if len(movie_name) > 1:
data.append(movie_name[0])
data.append(movie_name[1].replace('/', ''))
else: # 没有外语名也要空出来,方便后续储存
data.append(movie_name[0])
data.append('暂无')
movie_link = re.findall(re_movie_link, item)[0]
data.append(movie_link)
movie_img = re.findall(re_movie_img, item)[0]
data.append(movie_img)
movie_introduction = re.findall(re_movie_introduction, item)[0]
movie_introduction = re.sub(
r'<br(.*)?>', ' ', movie_introduction).strip() # 存入简介时要去掉含有的html标签
data.append(movie_introduction)
movie_score = re.findall(re_movie_score, item)[0]
data.append(movie_score)
movie_judge = re.findall(re_movie_judge, item)[0]
data.append(movie_judge)
moive_inq = re.findall(re_moive_inq, item)
if len(moive_inq) == 0: # 有时候没有一句话短评,同上要空出
data.append('暂无')
else:
data.append(moive_inq[0])
# 添加到data_list
data_list.append(data)
return data_list
def save_data(save_path, data_list):
wb = openpyxl.Workbook()
ws = wb.active
ws.title = '豆瓣TOP250'
first_row = ("电影名", "其他名", "影片详情连接", "影片海报图片",
"电影简介", "评分", "评分人数", "一句话评价")
temp = 1
for i in first_row: # 生成表头
ws.cell(1, temp, i)
temp += 1
row = 1
for i in data_list: # 存入数据
row += 1
column = 1
for j in i:
ws.cell(row, column, j)
column += 1
wb.save(save_path+'豆瓣TOP250.xlsx')
return None
if __name__ == "__main__":
base_url = 'https://movie.douban.com/top250?start='
save_path = 'E:\School\Study\Python\爬虫\'
data_list = crawl_web(base_url)
save_data(save_path, data_list)
print('Crawl over')