from bs4 import BeautifulSoup
import requests
import pandas as pd

# Use the requests library to fetch the HTML content of the page
url = "https://www.musicmaniarecords.be/_sys/newsl_view?n=260&sub=Tmpw6Rij5D"
response = requests.get(url)

# Use the BeautifulSoup library to parse the HTML content
soup = BeautifulSoup(response.text, 'html.parser')

# Find all 'a' elements with the class 'row'
albums = soup.find_all('td', attrs={'class': 'block__cell'})

# Iterate over the found elements and extract the album title and band name
album_title = []
band_name = []
for album in albums:
  album_title_element = album.find('h3', attrs={'class': 'header'})
  band_name_element = album.find('h4', attrs={'class': 'header'})
  album_title.append(album_title_element.text)
  band_name.append(band_name_element.text)

# Use the pandas library to save the extracted data to a CSV file
df = pd.DataFrame({'album_title': album_title, 'band_name': band_name})
df.to_csv('music_records.csv')

感谢无名英雄的帮助！

查看您的代码，我同意错误出在attrs部分。您面临的问题是，您试图抓取的站点不包含带有'row'类的'a'元素。因此find_all返回一个空列表。有大量带有'row'类的'div'元素，也许您打算查找这些元素？
查找'td'元素并提取它们的'h3'和'h4'元素是正确的，但由于albums是一个空列表，因此没有元素可供查找。
我稍微修改了代码，直接查找“td”元素，并提取它们的“h3”和“h4”元素。

from bs4 import BeautifulSoup
import requests
import pandas as pd

# Use the requests library to fetch the HTML content of the page
url = "https://www.musicmaniarecords.be/_sys/newsl_view?n=260&sub=Tmpw6Rij5D"
response = requests.get(url)

# Use the BeautifulSoup library to parse the HTML content
soup = BeautifulSoup(response.text, 'html.parser')

# Find all 'a' elements with the class 'row'
albums = soup.find_all('td', attrs={'class': 'block__cell'} )

# Iterate over the found elements and extract the album title and band name
album_title = []
band_name = []
for i, album in enumerate(albums):
  album_title_element = album.find('h3')
  band_name_element = album.find('h4')
  album_title.append(album_title_element.text)
  band_name.append(band_name_element.text)

# Use the pandas library to save the extracted data to a CSV file
df = pd.DataFrame({'album_title': album_title, 'band_name': band_name})
df.to_csv('music_records.csv', index=False)

我还冒昧地在代码的最后一行添加了index=False，这样每行就不会以,开头。
希望这个有用。