擅长:python、mysql、java
<p>你可以试试这个。{cd1>假设你只想在文本中。但请随意根据我的例子进行调整。在</p>
<pre><code>import pandas as pd
import requests
from bs4 import BeautifulSoup
url = 'https://www.remax.ca/ab/calgary-real-estate/720-37-st-nw-wp_id251536557-lst'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
detail_title = soup.find_all(class_='detail-title')
ls = []
for _ in detail_title:
ls.append(_.text)
df = pd.DataFrame(data=ls)
print(df)
</code></pre>
<p>输出</p>
^{pr2}$
<p>编辑:
<code>print(type(detail_title))</code>给出{<cd3>},它不是可接受的数据类型。
来自<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html" rel="nofollow noreferrer">https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html</a></p>
<blockquote>
<p>data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame</p>
</blockquote>