正如约瑟夫（Joseph）所述，find_all返回html元素列表，循环遍历列表中的每个元素，然后将.text方法应用于每个项目。

下面，我使用列表理解来循环和应用.text方法。使用strip()删除所有结尾\ t，\ n等...

最终代码：

from urllib.request import urlopen
from bs4 import BeautifulSoup
import os,csv
from time import sleep



pages = ['https://www.dell.com/community/Inspiron/bd-p/Inspiron','https://www.dell.com/community/Inspiron/bd-p/Inspiron/page/2','https://www.dell.com/community/Inspiron/bd-p/Inspiron/page/3','https://www.dell.com/community/Inspiron/bd-p/Inspiron/page/4','https://www.dell.com/community/Inspiron/bd-p/Inspiron/page/5'

    ]
import requests
data = []

for page in pages:
    r = requests.get(page)
    soup = BeautifulSoup(r.content,'html.parser')
    rows = soup.select('tbody tr')

    for row in rows:
        d = dict()
        d['title'] = [i.text.strip() for i in soup.find_all ('a',attrs = {'class': 'page-link lia-link-navigation lia-custom-event'})]
        d['author'] = [i.text.strip() for i in soup.find_all ('span',attrs = {'class': 'login-bold'})]
        d['time'] = [i.text.strip() for i in soup.find_all ('span',attrs = {'class': 'local-time'})]
        d['kudos'] = [i.text.strip() for i in soup.find_all ('div',attrs = {'class': 'lia-component-messages-column-message-kudos-count'})]
        d['messages'] = [i.text.strip() for i in soup.find_all ('div',attrs = {'class': 'lia-component-messages-column-message-replies-count'})]
        d['views'] = [i.text.strip() for i in soup.find_all ('div',attrs = {'class': 'lia-component-messages-column-topic-views-count'})]
        d['solved'] = [i.text.strip() for i in soup.find_all ('td',attrs = {'aria-label': 'triangletop lia-data-cell-secondary lia-data-cell-icon'})]
        d['latest']= [i.text.strip() for i in soup.find_all ('span',attrs = {'cssclass': 'lia-info-area-item'})]
        data.append(d)

    sleep(10)
print(data[0])

编辑：将其包含在代码中以将字典另存为csv。

import pandas as pd

pd.DataFrame.from_dict(data)
pd.head()     # confirm if the data is correct
pd.to_csv('name.csv',index=False)

find_all返回html元素的列表。如果要打印每个元素的文本，则需要遍历使用find_all创建的每个列表，然后将.text方法应用于每个单独的条目。例如：

titles = soup.find_all ('a',attrs = {'class': 'page-link lia-link-navigation lia-custom-event'})
for title in titles:
    print(title.text())