<jupyter_start><jupyter_text>Example parsing from cian.ru (https://www.cian.ru/kupit-kvartiru-1-komn-ili-2-komn/)<jupyter_code>from bs4 import BeautifulSoup
from urllib import request 

file = request.urlopen("https://www.cian.ru/kupit-kvartiru-1-komn-ili-2-komn/")

soup = BeautifulSoup(file, "html.parser")

price_part = soup.find("div", class_="_93444fe79c--wrapper--E9jWb").find_all("div", class_="c6e8ba5398--header--1dF9r")

for price in price_part:
    print(price.text)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16370808678500987, 'fraction_numerical': 0.04142011834319527, 'mean_word_length': 5.684210526315789, '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': '150649', 'license': 'MIT', 'n_tokens_mistral': 224, 'n_tokens_neox': 214, 'n_words': 26, 'path': 'parser_from_cian.ipynb', 'repo_name': 'abochenkov/parser', 'size': '507'}