In case you want to learn more about scraping, I'm making a "no-bullshit" Udemy course about it:
https://www.udemy.com/course/practical-web-scraping-course/

• Features
• Installation
• Docker
• Jupyter
• Education

• Parsing of sites with table-like or tile-like structures
• Initial data preprocessing

Pulse-Selenium requires Python3.7+ and Selenium Chrome Driver to be installed.

Create virtual environment and install requirements.txt

./scripts/quotes.sh ./outputs/quotes local

or

./scripts/quotes.sh ./outputs/quotes remote

It can also be used through Docker

export APP=./scripts/quotes.sh
docker-compose up

Run http://localhost:8888/lab?token=webtric to access internal filesystem and read scraped files

Here is a good example on how to do it:

import pandas as pd
from os import listdir
from os.path import isfile, join

VOLUME = "/home/webtric"
files = [f for f in listdir(VOLUME) if isfile(join(VOLUME, f))]

print('List of all parsed files')
print('\n'.join(files))

df = pd.read_csv(join(VOLUME, files[-1]))
df.head()