<jupyter_start><jupyter_text>---Scarape the data from urbanout fitters websitehttps://www.urbanoutfitters.com/?ref=logo<jupyter_code>from urllib.request import urlopen as ureq
from bs4 import BeautifulSoup
import requests
url = 'https://www.urbanoutfitters.com/home'
page = requests.get(url)
html = BeautifulSoup(page.content,'html.parser')
div1 = html.findAll('div')
print(len(div1))
div1<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12649164677804295, 'fraction_numerical': 0.00954653937947494, 'mean_word_length': 7.4, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '48834', 'license': 'MIT', 'n_tokens_mistral': 152, 'n_tokens_neox': 147, 'n_words': 28, 'path': 'Urbanfitters_Scraping/code.ipynb', 'repo_name': 'priyanshgupta1998/WebScraping', 'size': '419'}