Hello.
My first post here.
Tottaly noob almost 0 experience in coding but i wanted to try with the help of chatgpt to make a script to filter a specific category in a clothing site so i can find something suiting for me directly without visiting each item but i cant make it to spit any results. The script looks alright as i am having help from Thonny installing all the required and the result of the code looks alright but it does not spit any links back. Totaly blank. Any help would be amazing. Code is in Python

import requests
from bs4 import BeautifulSoup

shoulder_min = 75
shoulder_max = 77

url = "https://eur.shein.com/"

Use requests to get the HTML content of the website

response = requests.get(url)

Use BeautifulSoup to parse the HTML content

soup = BeautifulSoup(response.content, 'html.parser')

Find all products on the website

products = soup.find_all('div', class_='c-goodsitem__ratiowrap')

Create an empty list to store the links of products that meet the filter

filtered_links = []

Iterate over each product and check if it meets the shoulder size filter

for product in products:
# Find the shoulder size of the product
shoulder = product.find('span', class_='c-goodsitem__size--shoulder').text
shoulder = int(shoulder.split(' ')[0])

# Check if the shoulder size meets the filter

if shoulder >= shoulder_min and shoulder <= shoulder_max:

    # If the product meets the filter, add its link to the filtered_links list

    link = url + product.find('a', class_='c-goodsitem__goodsimg')['href']

    filtered_links.append(link)

Write the links of filtered products to a text file

with open("filtered_links.txt", "w") as f:
f.write("Links of filtered products:\n")
for link in filtered_links:
f.write(link + "\n")

print("Filtered links saved to filtered_links.txt")