The following error occurs when parsing web page data with beautifulSoup and processing data with regular expressions:
TypeError: Expected string or bytes-like object TypeError: Expected string or bytes-like object TypeError: Expected string or bytes-like object
It is generally caused by data type mismatch.
There are six standard data types in Python3: 

Print (type(object)) to check the current data type, where object is the object to query.

First, there is a code that looks like this:

import re
import requests
from bs4 import BeautifulSoup
import lxml

#get the html data
urlSave = "https://www.douban.com/people/yekingyan/statuses"
req = requests.get(urlSave)
soup = BeautifulSoup(req.text,'lxml')

# After parsing beautifulsoup, get the required data
times = soup.select('div.actions > span')
says = soup.select('div.status-saying > blockquote')

And then I’m going to look at it and I’m going to get the data what is the numeric type

print('says:',type(says))

The result: Says: lt; class ‘list’>
This tells us that the data selected from beautifulSoup in soup.select() is of the list type.
Next, extract the data in the list separately

#Traversing the output
for say in says:
    print(type(say))

Let’s see what type it is
The result: <<; class ‘bs4.element.Tag’> , different from the above six types
Beautiful Soup converts a complex HTML document into a complex tree structure, where each node is a Python object. All objects can be classified into four types:
TagNavigableStringBeautifulSoupComment
Use regular expressions directly to the data

for say in says:
    # Regular expressions to get the necessary data
    say = re.search('<p>(.*?)</p>',say)

There is an error
TypeError: expected string or bytes-like object
Therefore, before the regular expression, the problem is solved by converting the data type. As follows:

for say in says:
    # Convert the data type, otherwise an error will be reported
    say = str(say)
    # Regular expressions to get the necessary data
    say = re.search('<p>(.*?)</p>',say)