data = soup.find('div', {'class': 'report-list report-list__item'}).find_all('div')[1].find_all('table')[0].find_all('tr')[1:-1] AttributeError: 'NoneType' object has no attribute 'find_all'
时间: 2023-08-11 18:06:07 浏览: 55
这个错误提示通常是因为`find()`或`find_all()`方法没有找到指定的标签或属性,返回了`None`对象,而`None`对象并没有`find_all()`方法。
你可以在运行`find()`或`find_all()`方法之前,先判断一下对象是否为`None`,避免这个错误的发生。例如:
```
data_div = soup.find('div', {'class': 'report-list report-list__item'})
if data_div:
data_table = data_div.find_all('div')[1].find_all('table')[0]
if data_table:
data = data_table.find_all('tr')[1:-1]
```
这样就可以避免对`None`对象调用`find_all()`方法导致的错误。
相关问题
TypeError: list indices must be integers or slices, not lxml.etree._ElementUnicodeResult
`TypeError: list indices must be integers or slices, not lxml.etree._ElementUnicodeResult` 这个错误是由于在使用列表索引时传入了`lxml.etree._ElementUnicodeResult`类型的参数,而列表的索引只能是整数或切片。这个错误通常发生在使用Beautiful Soup 4扩展库时。
要解决这个问题,你需要确认你的索引是一个整数或切片类型。如果你的索引是一个字符串,你需要检查你的代码,找出为什么传入了一个错误的类型。你可以使用`type()`函数来确认你的索引的类型,并根据需要进行类型转换。
以下是一个示例代码,展示了如何解决这个问题:
```python
# 导入所需的库
from bs4 import BeautifulSoup
# 解析HTML文档
html = '<html><body><div>Example</div></body></html>'
soup = BeautifulSoup(html, 'html.parser')
# 获取一个元素
element = soup.find('div')
# 将索引转换为整数类型
index = int(element)
# 使用正确的索引访问列表
value = my_list[index]
```
通过确认索引的类型并进行必要的类型转换,你可以避免`TypeError: list indices must be integers or slices, not str`这个错误。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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[ .reference_list ]
python爬取百度
要使用Python爬取百度搜索结果,你可以使用requests库和BeautifulSoup库来发送HTTP请求并解析HTML页面。首先,你需要导入这两个库:
import requests
from bs4 import BeautifulSoup
接下来,你可以定义一个函数,例如get_baidu_search_result,来传入关键字作为参数。在函数中,你可以设置要爬取的URL和请求头信息:
def get_baidu_search_result(keyword):
url = 'https://www.baidu.com/s'
params = {'wd': keyword}
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
然后,你可以使用requests库发送GET请求,并将响应内容传给BeautifulSoup库进行解析:
response = requests.get(url, params=params, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
接着,你可以使用BeautifulSoup库的find_all方法查找搜索结果的div元素,并提取标题、链接和描述信息:
results = soup.find_all('div', class_='result')
for result in results:
try:
title = result.h3.a.text
link = result.h3.a['href']
desc = result.find('div', class_='c-abstract').text
print(title)
print(link)
print(desc)
except:
pass
最后,你可以在主函数中调用get_baidu_search_result,并传入你想要搜索的关键字:
if __name__ == '__main__':
keyword = 'Python'
get_baidu_search_result(keyword)
这样,你就可以使用Python爬取百度搜索结果,并将标题、链接和描述信息打印出来了。记得要根据自己的需求进行进一步的处理和存储。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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[ .reference_list ]
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