How do you extract text from a website in python?
Here is a version of xperroni's answer which is a bit more complete. It skips script and style sections and translates charrefs (e.g., ') and HTML entities (e.g., &). Show It also includes a trivial plain-text-to-html inverse converter. When performing content analysis at scale, you’ll need to automatically extract text content from web pages. In this article you’ll learn how to extract the text content from single and multiple web pages using Python.
NB: If you’re writing this in a standard python file, you won’t need to include the ! symbol. This is solely because this tutorial is written in a Jupyter Notebook. Firstly we’ll break the problem down into several stages:
Collect The HTML Content From The Website
After collecting the all of the requests that had a status_code of 200, we can now apply several attempts to extract the text content from every request. Firstly we’ll try to use trafilatura, however if this library is unable to extract the text, then we’ll use BeautifulSoup4 as a fallback.
Let’s use a list comprehension with our single_extract text function to easily extract the text from many web pages:
Notice how we’ve made sure that any URL that failed can easily be removed as we’ve returned np.nan (not a number). Cleaning Our Raw Text From Multiple Web PagesAfter you’ve successfully extracted the raw text documents, let’s remove any web pages that failed:
Also, you might want to clean the text for further analysis. For example, tokenising the text content allows you to analyse the sentiment, the sentence structure, semantic dependencies and also the word count.
ConclusionHopefully you can now easily extract text content from either a single url or multiple urls. We’ve also included beautifulsoup as a failside/fallback function. This ensures that our code is less fragile and is able to withstand the following errors:
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Can Python pull data from a website?When scraping data from websites with Python, you're often interested in particular parts of the page. By spending some time looking through the HTML document, you can identify tags with unique attributes that you can use to extract the data you need.
How do I get the HTML text from a website in Python?If you want to read the HTML file as a string, you need to convert the result using Python's decode() method:. import urllib. request as r.. page = r. urlopen('https://google.com'). print(page. read(). decode('utf8')). |