def parse_html(html): try: soup = BeautifulSoup(html, 'html.parser') title = soup.select_one('h3.tb-main-title[data-title]') return title except Exception as e: print("解析异常:", e) return None # 测试接口： url = 'https://item.taobao.com/item.htm?id=699089474285&ali_refid=a3_430673_1006:1102522391:N:%2BAkz14GC%2BXi%2Bma9dw7y9M4p5Yhq5iT8I:f9e826228fbc823934848d20e28dff81&ali_trackid=162_f9e826228fbc823934848d20e28dff81&spm=a2e0b.20350158.31919782.5' resp_text = get_with_cookie(url) if resp_text is not None: title = parse_html(resp_text) if title is not None: # 打印商品信息 print(title.text.strip()) else: print("解析失败") else: print("请求失败")解析失败。代码写的没有问题

可能是因为您使用的是 BeautifulSoup 库的 'html.parser' 解析器，在某些情况下可能无法正确解析特定的 HTML 标记或结构。您可以尝试使用其他解析器，例如 lxml 或 html5lib，看看是否能够解决问题。另外，建议您在捕获异常时打印出完整的错误信息，以便更好地排查问题。

相关问题

import requests from bs4 import BeautifulSoup session = requests.Session() cookie = 'your_cookie_here' session.headers.update({'cookie': cookie}) def get_with_cookie(url): try: resp = session.get(url) return resp.text except requests.exceptions.RequestException as e: print("请求异常:", e) return None # 解析HTML内容，提取商品名称、价格和销量信息 def parse_html(html): try: soup = BeautifulSoup(html, 'html.parser') title = soup.select_one('h3.tb-main-title[data-title]') return title except Exception as e: print("解析异常:", e) return None # 测试接口： url = 'https://item.taobao.com/item.htm?id=699089474285&ali_refid=a3_430673_1006:1102522391:N:%2BAkz14GC%2BXi%2Bma9dw7y9M4p5Yhq5iT8I:f9e826228fbc823934848d20e28dff81&ali_trackid=162_f9e826228fbc823934848d20e28dff81&spm=a2e0b.20350158.31919782.5' resp_text = get_with_cookie(url) if resp_text is not None: title = parse_html(resp_text) if title is not None: # 打印商品信息 print(title.text.strip()) else: print("解析失败") else: print("请求失败")用其他方式帮我解析对应位置的数据

可以使用正则表达式或者XPath来解析HTML内容，以下是两种方法的示例：

1. 使用正则表达式解析商品名称

import re

def parse_title(html):
    try:
        pattern = r'"title":"(.*?)"'  # 正则表达式模式
        title = re.search(pattern, html).group(1)  # 查找匹配的字符串并提取
        return title
    except Exception as e:
        print("解析异常:", e)
        return None

# 测试接口：
url = 'https://item.taobao.com/item.htm?id=699089474285&ali_refid=a3_430673_1006:1102522391:N:%2BAkz14GC%2BXi%2Bma9dw7y9M4p5Yhq5iT8I:f9e826228fbc823934848d20e28dff81&ali_trackid=162_f9e826228fbc823934848d20e28dff81&spm=a2e0b.20350158.31919782.5'
resp_text = get_with_cookie(url)
if resp_text is not None:
    title = parse_title(resp_text)
    if title is not None:
        # 打印商品信息
        print(title)
    else:
        print("解析失败")
else:
    print("请求失败")

2. 使用XPath解析商品名称

from lxml import etree

def parse_title(html):
    try:
        root = etree.HTML(html)
        title = root.xpath('//h3[@class="tb-main-title"]/text()')[0]  # 使用XPath定位节点并提取文本
        return title
    except Exception as e:
        print("解析异常:", e)
        return None

# 测试接口：
url = 'https://item.taobao.com/item.htm?id=699089474285&ali_refid=a3_430673_1006:1102522391:N:%2BAkz14GC%2BXi%2Bma9dw7y9M4p5Yhq5iT8I:f9e826228fbc823934848d20e28dff81&ali_trackid=162_f9e826228fbc823934848d20e28dff81&spm=a2e0b.20350158.31919782.5'
resp_text = get_with_cookie(url)
if resp_text is not None:
    title = parse_title(resp_text)
    if title is not None:
        # 打印商品信息
        print(title.strip())
    else:
        print("解析失败")
else:
    print("请求失败")

import requests from bs4 import BeautifulSoup def getHTMLText(url): try: r = requests.get(url,timeout=30) r.raise_for_status() r.encoding = r.apparent_encoding return r.text except: return "产生异常" def jiexi(html_doc): soup = BeautifulSoup(html_doc,"html.parser") links = soup.find_all('a') for link in links: print(link.name,link["nref"],link.get.next()) if __name__ == 'main': url = "https://wallhaven.cc/toplist?page=7" print(getHTMLText(url))改进代码

这段代码可以改进的地方有：

1. 函数名jiexi不太直观，可以改为更明确的parse_links。

2. 在解析链接时，可以加上判断，如果链接是以http或https开头的，才输出链接信息，否则忽略。

3. 在主程序中，应该调用parse_links函数，而不是直接打印HTML页面内容。

改进后的代码如下：

import requests
from bs4 import BeautifulSoup

def get_html_text(url):
    try:
        r = requests.get(url, timeout=30)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return r.text
    except:
        return "产生异常"
    
def parse_links(html_doc):
    soup = BeautifulSoup(html_doc, "html.parser")
    links = soup.find_all('a')
    for link in links:
        if link.has_attr('href') and (link['href'].startswith('http') or link['href'].startswith('https')):
            print(link.name, link['href'], link.get_text())

if __name__ == '__main__':
    url = "https://wallhaven.cc/toplist?page=7"
    html_text = get_html_text(url)
    parse_links(html_text)

这样修改后，代码更加清晰易懂，功能也更加完善。