However, this complexity is worth diving into, because the BeautifulSoup-type object has specific methods designed for efficiently working with HTML. The more complicated answer is that soup is now an object with much more complexity and methods than just a Python string. OK, at least we know that soup is not just plain text. What is soup? As always, use the type() method to inspect an unknown object: type ( soup ) # bs4.BeautifulSoup ![]() ![]() So, let's parse some HTML: from bs4 import BeautifulSoup htmltxt = "Hello World" soup = BeautifulSoup ( htmltxt, 'lxml' ) The "soup" object Without getting into the background of why there are multiple implementations of HTML parsing, for our purposes, we will always be using 'lxml'. The BeautifulSoup constructor function takes in two string arguments: This is the standard import statement for using Beautiful Soup: from bs4 import BeautifulSoup Importing the BeautifulSoup constructor function We'll start out by using Beautiful Soup, one of Python's most popular HTML-parsing libraries. Hello World – apart from the HTML markup – e.g. The point of HTML-parsing is to be able to efficiently extract the text values in an HTML document – e.g. So, let's write our own HTML from scratch, without worrying yet about "the Web": htmltxt = "Hello World" And HTML-formatted text is ultimately just text. # print("stopwords.words: ", stopwords.words("english")) # from rpus import stopwords # Import the stop word list # nltk.download() # Download text data sets, including stop words # removed, because size of nltk data (>3.7GB) Text2 = '\n'.join(chunk for chunk in chunks2 if chunk) Lines2 = (line.strip() for line in text2.splitlines())Ĭhunks2 = (phrase.strip() for line in lines2 for phrase in line.split(" ")) Text1 = '\n'.join(chunk for chunk in chunks1 if chunk)įor script in soup2(): Lines1 = (line.strip() for line in text1.splitlines())Ĭhunks1 = (phrase.strip() for line in lines1 for phrase in line.split(" ")) # break into lines and remove leading and trailing space on each (url) # add the url to crawledįor script in soup1(): Self.union(self.tocrawl, outlinks) # adds links on page to tocrawl Self.add_page_to_index(url) # adds page to index Self.pages = (tuple(outlinks), text) # creates new page object Outlinks = self.get_all_links(soup) # get links on page ![]() Text = soup.get_text().lower() # keep as unicode Text = str(soup.get_text()).lower() # convert from unicode Soup = BeautifulSoup(html, 'lxml') # parse with lxml (faster html parser)Įxcept: # parse with html5lib if lxml fails (more forgiving) Html = self.get_text(url) # gets contents of page If url not in self.crawled: # check if page is not in crawled While self.tocrawl and clock() - t 0 and deltatime > tFull 'loc': page_url} # changed from 'url' following (an update to Pelican made it not work, because the update (e.g., in the theme folder, static/tipuesearch/tipuesearch.js is looking for the 'loc' attribute.ĭef crawl_web(self, time): # returns index, graph of inlinks ![]() Page_url = page.url if self.relative_urls else (self.siteurl + '/' + page.url) Page_category = if getattr(page, 'category', 'None') != 'None' else '' Soup_text = BeautifulSoup(ntent, 'html.parser') Soup_title = BeautifulSoup((' ', ' '), 'html.parser') If getattr(page, 'status', 'published') != 'published':
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