Im trying to extract all Product Names, Product Codes, Prices, and Specs from a website, but there's no classes I can use to dig deeper into the html tree, so I have to use data-type and data-id, and all the tr and td info inside of it. However, if I now search for data-id, it only shows me the names, but not actually the content inside of it.

Right now the code is a little chaotic, Ive been trying as many solutions as I can, but none of them worked so far

Heres my code:

```

from cgitb import text
from pickle import TRUE
from bs4 import BeautifulSoup 
import requests
import urllib
import pandas as pd
import json

url = "https://www.albelli.nl/prijsoverzicht"

result = requests.get(url)
doc = BeautifulSoup(result.text, "html.parser")

WholeDoc = doc.find('div', 'arc3-container arc3-margin--bottom-none arc3-margin--top-none price-overview--content')

for letstry in WholeDoc.find_all('div', attrs={'data-type' : 'Photobook'}):
   for item in letstry.find_all('tbody'):
    for moop in item.find_all('tr', attrs=('data-id')):
        print(moop)

```

I tried using the attrs=() function, but it doesnt get me the content INSIDE of the data-id, however, it seems to work with the data-type

```
.find_all('tr', attrs=('data-id'))

```