Web Scraping - BeautifulSoup parsers do not seem to work - parsing

Question

I am trying to extract the name of a few items from the url below. The node and class_, point to the right content but when I use find_all , I do not get back any results. From previous posts it seems that this problem might be connected to using the wrong parser. I have used xml, lxml and others but nothing seems to work.
Is anyone able to extract the content successfully?
import requests
from bs4 import BeautifulSoup
import pandas as pd
import html5lib
import urllib3
url_pb = 'https://www.pullandbear.com/it/uomo/accessori/zaini-c1030207088.html'
req_pb = requests.get(url_pb)
pars_pb = BeautifulSoup(req_pb.content, 'html.parser')
con_pb = pars_pb.find_all('div', class_ = 'name namorio')

Answer 1

UPDATE
I have managed to find the info I needed, hidden in another section of the same code available to inspection. I have extracted them using this code:
url_pb = 'https://www.pullandbear.com/it/uomo/accessori/zaini-c1030207088.html'
req_pb = requests.get(url_pb)
pars_pb = BeautifulSoup(req_pb.content, 'html.parser')
con_pb = pars_pb.find_all('li', class_ = False)
names_pb = [c.select("a > p")[0].text for c in con_pb]
prices_pb = [c.select('a > p')[1].text for c in con_pb]
picts_pb = [c.find('img').get('src') for c in con_pb]
df_pb = pd.DataFrame({'(Pull&Bear) Item_Name': names_pb,
'Item_Price_EUR': prices_pb,
'Link_to_Pict': picts_pb })

Answer 2

It seems that the website is using javascript in order to display its content. Meaning that you can't directly visit the homepage and scrape the content (as the requests doesn't support javascript rendered websites). That being said all of the data displayed on the website is sent in the form of a JSON string, so in order to get all the names of the items you could use the following code:
import requests
url = "https://www.pullandbear.com:443/itxrest/2/catalog/store/24009405/20309428/category/1030207088/product?languageId=-4&appId=1"
all_products = requests.get(url).json()["products"]
product_names = [item["bundleProductSummaries"][0]["name"] for item in all_products]
print(product_names)
hope this helps