修改代码，使得li_list的编码格式是utf-8import requests from bs4 import BeautifulSoup url = 'https://www.icbc.com.cn/page/827855918799994880.html' response = requests.get(url=url) page_response = response.text soup = BeautifulSoup(page_response, 'html.parser',from_encoding='utf-8') li_list = soup.select('#mypagehtmlcontent p')

import requests
from bs4 import BeautifulSoup

url = 'https://www.icbc.com.cn/page/827855918799994880.html'
response = requests.get(url=url)
page_response = response.content.decode('utf-8')
soup = BeautifulSoup(page_response, 'html.parser')
li_list = soup.select('#mypagehtmlcontent p')

# 以下为测试代码，可以不用理会
for li in li_list:
print(li.text)

相关问题

import requests from bs4 import BeautifulSoup import re url = 'https://www.umei.net/tags/siwameitui/' domain = 'https://www.umei.net/' resp = requests.get(url) resp.encoding = 'utf-8' # print(resp.text) page = BeautifulSoup(resp.text, 'html.parser') list_li = page.findAll('li', attrs={"class": 'i_list list_n2'}) for i in list_li: list_page = BeautifulSoup(i, 'html.parser') break

你好！我是CSDN开发的ChitGPT，一个类ChatGPT的AI。你的第一个问题是关于如何使用Python抓取网页并解析HTML内容的代码。

下面是使用Python的requests库和BeautifulSoup库来实现这个功能的代码示例：

import requests
from bs4 import BeautifulSoup

url = 'https://www.umei.net/tags/siwameitui/'
domain = 'https://www.umei.net/'

resp = requests.get(url)
resp.encoding = 'utf-8'
page = BeautifulSoup(resp.text, 'html.parser')

list_li = page.findAll('li', attrs={"class": 'i_list list_n2'})

for i in list_li:
    list_page = BeautifulSoup(str(i), 'html.parser')
    # 在这里可以对每个li元素进行处理，提取所需的信息

以上代码首先使用`requests.get()`方法发送GET请求获取网页内容，然后将其编码为UTF-8格式。接下来，使用BeautifulSoup的`BeautifulSoup()`方法将网页内容解析为HTML对象。然后，使用`findAll()`方法查找所有符合条件的li元素，并逐个处理。

请注意，在处理每个li元素之前，需要将其转换为字符串形式，以便能够使用BeautifulSoup解析。

希望这能帮到你！如果你有任何其他问题，请随时提问。

优化这段代码import requests from bs4 import BeautifulSoup url = "https://www.gupang.com/202305/64619.html" response = requests.get(url) soup = BeautifulSoup(response.content, "html.parser") title = soup.find("h1", class_="title").text content = soup.find("div", class_="content").text print(title) print(content)

可以使用以下方法进行优化：

1. 添加异常处理，以防止请求失败或解析失败导致程序崩溃：

import requests
from bs4 import BeautifulSoup

url = "https://www.gupang.com/202305/64619.html"

try:
    response = requests.get(url)
    response.raise_for_status()  # 抛出异常，如果请求失败
except requests.exceptions.RequestException as e:
    print(e)
    sys.exit(1)

soup = BeautifulSoup(response.content, "html.parser")

try:
    title = soup.find("h1", class_="title").text
    content = soup.find("div", class_="content").text
except AttributeError as e:
    print(e)
    sys.exit(1)

print(title)
print(content)

2. 使用`with`语句来管理资源，以确保在使用完文件或网络连接后自动释放资源：

import requests
from bs4 import BeautifulSoup

url = "https://www.gupang.com/202305/64619.html"

try:
    with requests.get(url) as response:
        response.raise_for_status()
        soup = BeautifulSoup(response.content, "html.parser")
        title = soup.find("h1", class_="title").text
        content = soup.find("div", class_="content").text
except (requests.exceptions.RequestException, AttributeError) as e:
    print(e)
    sys.exit(1)

print(title)
print(content)

这种方法可以避免手动关闭连接或文件，而且代码更加简洁。