If you right-click on the element you're interested in, you can inspect the HTML behind that element to figure out how you can programmatically access the data you want. When you're writing code to parse through a web page, it's usually helpful to use the developer tools available to you in most modern browsers. We only want one of each song, and because we ultimately want to use this data to train a neural network to generate accurate Nintendo music, we won't want to train it on user-created remixes. Our goal is to download a bunch of MIDI files, but there are a lot of duplicate tracks on this webpage as well as remixes of songs. Every web page is different, and sometimes getting the right data out of them requires a bit of creativity, pattern recognition, and experimentation. Parsing and navigating HTML with BeautifulSoupīefore writing more code to parse the content that we want, let’s first take a look at the HTML that’s rendered by the browser. You can find lots of cool features in the documentation. You can also provide different arguments to find_all, such as regular expressions or tag attributes to filter your search as specifically as you want. With your virtual environment activated, run the following command in your terminal: You'll need to install the Requests library for making HTTP requests to get data from the web page, and Beautiful Soup for parsing through the HTML. Make sure you create and activate a virtual environment before installing any dependencies. Getting started and setting up dependenciesīefore moving on, you will need to make sure you have an up to date version of Python 3 and pip installed. Using Beautiful Soup we can get this data from the Video Game Music Archive. In order to do this, we'll need a set of MIDI music from old Nintendo games. Let's use the example of scraping MIDI data from the internet to train a neural network with Magenta that can generate classic Nintendo-sounding music. With Python tools like Beautiful Soup, you can scrape and parse this data directly from web pages to use for your projects and applications. But this data is often difficult to access programmatically if it doesn't come in the form of a dedicated REST API. The internet has an amazingly wide variety of information for human consumption.
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