How to write correct prompt in chatgpt for extracting list of categories and subcategories from given urls

It sends a GET request to the specified URL.
Uses BeautifulSoup to parse the HTML content.
Locates the primary navigation menu based on its class.
Extracts menu items and sub-items.
Constructs a dictionary with the extracted data.
Converts the dictionary to JSON format.
Keep in mind that the actual structure of the website may change, and you might need to adjust the script accordingly. Additionally, please respect the website’s terms of service and policies regarding web scraping. like this i dont want i want prompt which will gives me json format of categories and its subcategories present on homepage

Hi, welcome to the forum!

What have you tried so far, and what isn’t working?

Given a set of URLs for online stores or e-commerce websites, extract the primary navigation menu and its subcategories using BeautifulSoup. For each URL, construct a dictionary with the extracted data and convert it to JSON format.


JSON{ "URL": "", "Categories": [ "Hem och inredning", "Möbler och belysning", "Möbler", "Soffa och soffbord", "Bord och stolar", "Matbord och stolar", "Bänk och fåtöljer", "Sängar och sängkläder", "Barnmöbler och barnrum", "Matsalsmöbler", "Utemöbler", "Förvaringsmöbler", "Övrigt möbler och belysning", "Belysning", "Taklampor", "Vägglampor", "Golvlampor", "Byggbelysning", "Tavlor och speglar", "Övrig belysning" ] }

import requests
from bs4 import BeautifulSoup
import json

def extract_categories(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')

    primary_nav = soup.find(id='primary-nav')
    categories = []

    for li in primary_nav.find_all('li'):
        category_name = li.find('a').text
        subcategories = []

        for ul in li.find_all('ul', class_='sub-categories'):
            for li in ul.find_all('li'):
                subcategory_name = li.find('a').text

        categories.append((category_name, subcategories))

    return categories

if __name__ == '__main__':
    urls = [

    for url in urls:
        categories = extract_categories(url)
        data = {
            'URL': url,
            'Categories': categories
        with open(f'{url[:url.rfind("/")]}.json', 'w') as outfile:
            json.dump(data, outfile)