extract korean keywords from the web with Python3

korean-keyword-extracter.py

import requests
from bs4 import BeautifulSoup
from krwordrank.hangle import normalize
from krwordrank.word import KRWordRank
from konlpy.tag import Hannanum

def parse(url):
    print('\x1b[0;30;47mURL\x1b[0m : ' + url)
    return keywords(requests.get(url).text)

def parse_all(articles):
    keywords = []
    print('\x1b[5;30;44m' + '='*30 + '\x1b[0m')
    for idx, url in enumerate(articles):
        if not idx == 0:
            print('\x1b[5;30;44m' + '='*30 + '\x1b[0m')
        keywords.append(parse(url))
    print('\x1b[5;30;44m' + '='*30 + '\x1b[0m')
    return keywords    

def getsoup(html):
    soup = BeautifulSoup(html, 'html.parser')
    print('\x1b[0;30;47mTITLE\x1b[0m : ' + soup.title.text)
    return soup

def clean(soup):
    soup = soup.find('body')
    [s.decompose() for s in soup(['script', 'style'])]
    return ' '.join(soup.stripped_strings)

def keywords(html):
    texts = ' '.join(clean(getsoup(html)).split()).split('.')
    texts = [normalize(text, english=True, number=True) for text in texts]
    wordrank_extractor = KRWordRank(min_count = 5, max_length = 10, verbose = True)
    beta = 0.85  
    max_iter = 10
    keywords, rank, graph = wordrank_extractor.extract(texts, beta, max_iter)
    result = ' '.join([word[0] for word in sorted(keywords.items(), key=lambda x:x[1], reverse=True)[:10]])
    result = Hannanum().nouns(result)
    print('\x1b[5;30;42mKEYWORDS\x1b[0m : ' + ' '.join(result))
    return result