How to do web scrapping from a website for getting keywords

python keywords web scrapping nltk 5 years, 4 months ago
from bs4 import BeautifulSoup from bs4.element import Comment from urllib.request import Request, urlopen import csv from nltk.corpus import stopwords from nltk import word_tokenize stop_words = set(stopwords.words('english')) def tag_visible(element): if element.parent.name in ['style', 'script', 'head', 'title', 'meta', '[document]']: return False if isinstance(element, Comment): return False return True urls =['https://en.wikipedia.org/wiki/Natural_Language_Toolkit','https://medium.com/analytics-vidhya/web-scraping-wiki-tables-using-beautifulsoup-and-python-6b9ea26d8722'] def text_from_html(body): soup = BeautifulSoup(body, 'html.parser') texts = soup.findAll(text=True) visible_texts = filter(tag_visible, texts) return u" ".join(t.strip() for t in visible_texts) for url in urls: try: html = urlopen(url).read() except: req = Request(url, headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() text = text_from_html(html) tokens = word_tokenize(text) result = [i for i in tokens if not i in stop_words] print(result)
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