"cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_'" on AWS Lambda using a layer

What I want to achieve
To scrape an website using AWS Lambda and save the data on S3.

The issues I'm having
When I execute Lambda, the following error message appears.

{   "errorMessage": "Unable to import module 'lambda_function': cannot
import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_'
(/opt/python/urllib3/util/ssl_.py)",   "errorType":
"Runtime.ImportModuleError",   "requestId":
"fb66bea9-cbad-4bd3-bd4d-6125454e21be",   "stackTrace": [] }

Code
The minimum Lambda code is as follows.

import requests
import boto3 

def lambda_handler(event, context):
    s3 = boto3.client('s3')
    upload_res = s3.put_object(Bucket='horserace-dx', Key='/raw/a.html', Body='testtext')
    
    return event

An layer was added to the Lambda. Files were save in python folder using the commands below , frozen in a zip file, then uploaded to AWS Lambda as a layer.

!pip install requests -t ./python --no-user
!pip install pandas -t ./python --no-user
!pip install beautifulsoup4 -t ./python --no-user

The bucket horserace-dx exists
The folder raw exists
The role of the Lambda is properly set. It can read from and write to S3
The runtime of the Lambda is Python 3.9. The python version of the local computer is 3.9.13.

What I did so far
I google "cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_'" and found some suggestions. I made the layer with the following code and tried again in vain.

!pip install requests -t ./python --no-user
!pip install pandas -t ./python --no-user
!pip install beautifulsoup4 -t ./python --no-user
!pip install urllib3==1.26.15 -t ./python --no-user

So what should I do to achieve what I want to achieve? Any suggestions would be greatly appreciated.

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