爬到data.html
import requests
from bs4 import BeautifulSoup # 从bs4引入BeautifulSoup
#请求网页
url = "https://movie.douban.com/cinema/later/chengdu/"
response = requests.get(url)
# 初始化BeautifulSoup方法一：利用网页字符串自带的编码信息解析网页
soup = BeautifulSoup(response.content.decode('utf-8'), 'lxml')
# 初始化BeautifulSoup方法二：手动指定解析编码解析网页
# soup = BeautifulSoup(response.content, 'lxml', from_encoding='utf-8')
# print(soup) # 输出BeautifulSoup转换后的内容
all_movies = soup.find('div', id="showing-soon") # 先找到最大的div
# print(all_movies) # 输出最大的div的内容
html_file = open('data.html', 'w', encoding="utf-8")
html_file.write("""
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>豆瓣电影即将上映影片信息</title>
<link href="https://cdn.bootcss.com/bootstrap/4.0.0/css/bootstrap.min.css" rel="stylesheet">
</head>
<body>
<h2 class="text-center">豆瓣电影即将上映影片信息</h2>
<table class="table table-striped table-hover mx-auto text-center">
<thead>
<tr>
<th>影片名</th>
<th>上映日期</th>
<th>影片类型</th>
<th>地区</th>
<th>关注者数量</th>
</tr>
</thead>
<tbody>
""")
for each_movie in all_movies.find_all('div', class_="item"): # 从最大的div里面找到影片的div
# print(each_movie) # 输出每个影片div的内容
all_a_tag = each_movie.find_all('a')
all_li_tag = each_movie.find_all('li')
movie_name = all_a_tag[1].text
moive_href = all_a_tag[1]['href']
movie_date = all_li_tag[0].text
movie_type = all_li_tag[1].text
movie_area = all_li_tag[2].text
# 替换字符串里面的 想看 两个字为空，使得更加美观
movie_lovers = all_li_tag[3].text.replace("想看", '')
print('名字：{}，链接：{}，日期：{}，类型：{}，地区：{}， 关注者：{}'.format(
movie_name, moive_href, movie_date, movie_type, movie_area, movie_lovers))
html_file.write("""
<tr>
<td><a href="{}">{}</a></td>
<td>{}</td>
<td>{}</td>
<td>{}</td>
<td>{}</td>
</tr>
""".format(moive_href, movie_name, movie_date, movie_type, movie_area, movie_lovers))
html_file.write("""
</tbody>
</table>
</body>
</html>
""")
html_file.close()
print("write_finished!")
爬到CSV文件
import csv
import requests
from bs4 import BeautifulSoup # 从bs4引入BeautifulSoup
# 请求网页
url = "https://movie.douban.com/cinema/later/chengdu/"
response = requests.get(url)
# 初始化BeautifulSoup方法一：利用网页字符串自带的编码信息解析网页
soup = BeautifulSoup(response.content.decode('utf-8'), 'lxml')
# 初始化BeautifulSoup方法二：手动指定解析编码解析网页
# soup = BeautifulSoup(response.content, 'lxml', from_encoding='utf-8')
# print(soup) # 输出BeautifulSoup转换后的内容
all_movies = soup.find('div', id="showing-soon") # 先找到最大的div
# print(all_movies) # 输出最大的div的内容
csv_file = open('data.csv', 'w', encoding="gbk", newline='')
writer = csv.writer(csv_file)
writer.writerow(["影片名", "链接", "上映日期", "影片类型", "地区", "关注者"]) # 写入标题
for each_movie in all_movies.find_all('div', class_="item"): # 从最大的div里面找到影片的div
# print(each_movie) # 输出每个影片div的内容
all_a_tag = each_movie.find_all('a')
all_li_tag = each_movie.find_all('li')
movie_name = all_a_tag[1].text
moive_href = all_a_tag[1]['href']
movie_date = all_li_tag[0].text
movie_type = all_li_tag[1].text
movie_area = all_li_tag[2].text
movie_lovers = all_li_tag[3].text.replace("想看", '')
print('名字：{}，链接：{}，日期：{}，类型：{}，地区：{}， 关注者：{}'.format(
movie_name, moive_href, movie_date, movie_type, movie_area, movie_lovers))
writer.writerow([movie_name, moive_href, movie_date, movie_type, movie_area, movie_lovers])
csv_file.close()
print("write_finished!")
网友评论