#Itunes podcast url extractor how to
#Itunes podcast url extractor install

Import selenium.webdriver import os from pathlib import Pathįrom import WebDriverWaitįrom import expected_conditions as ECįrom import Byįrom lenium_tools import Edge, EdgeOptions A couple of refreshes later, and I see calls being made to the following URL: Surely, if Spotify can render the pretty charts and graphs, they are running some API calls behind the scenes, that provide the raw numbers. When you go to the Spotify dashboard, it renders a range of different insights about the audience, podcast downloads, where folks are listening from - all interesting to check out.

#Itunes podcast url extractor install

Whichever browser you are using, it should have this integrated - no need to install anything. To get access to the data, I logged in to my Spotify podcaster dashboard and fired up the network inspector. In this blog post, I will outline my approach to accessing my podcast data from the Spotify data service, making it ready for local storage, processing, and analysis. Not that I expect to get super-detailed insights from the provided aggregated numbers, but it’s better than nothing. Generally, I am a big fan of owning my data so that I can process and analyze it in whichever way I want. Let’s start with the destination - I wanted to get to a point where I can aggregate Spotify data all in one place, ideally in something like a SQLite database file, that I can then pipe to a Python program in Jupyter notebook for analysis. My starting point was Spotify, because their API was the least convoluted. Nonetheless, as someone that runs a podcast, I got really tired of going to three different pages to get the data I need, so I decided that I will start solving this problem for myself, and hopefully for someone else while at it. Now, this is not the fact that there is too much data but rather that this data is scattered across different providers, with different systems, and different ways to manage it.Īpple has their own analytics, Google has an entirely different experience, and Spotify has a dashboard as well (although experience-wise it’s leaps and bounds better than the former two). If you are a podcast owner, one of the things that can be a bit annoying is the multitude of different data points that are available for the show.

#Itunes podcast url extractor how to

YMMV.Unlocking My Spotify Podcast Data How to extract your own Spotify podcast data outside the Spotify dashboard. The XPath for this could be something like: entirely sure how stable any of this is, or how legal it is. This is a plist containing some metadata about the podcast, including the feed URL.

The catch here is that you need to use an iTunes user-agent to get this document. Once you have that id, you can get another document which will tell you the last episode, and the original feed URL. You'll need to do some sperlunking with XPath to get to the ITMS id of podcast, but you're looking for the numeric id contained in the URL found at the following XPath: example, the excellent JavaPosse has an id of 81157308.

limit is optional, and seems to default to 9.

I would guess that this defaults to 'all genres' is absent.

genre relates to genre, and is optional.

I would guess that this defaults to global if absent.

sf relates to country, and is optional.

I'm not sure how the query parameters work yet, but here is an RSS feed for top tech podcasts in the US. Example of finding podcastsįirst: grab a list of podcasts from iTunes, using the RSS generator. Through a combination of answers from these two questions, I have found a way to do what I want. (in actual fact, I'd prefer something vaguely supported, and in Java, that didn't involve HTML scraping). It also give you the id, and a whole load of other things including a preview audio file which is not hosted on the phobos.Īt this point, I'm looking for anything that would help me solve this question, including any language, unofficial or not. This gives you a collectionViewUrl which is the same as the ones given in the RSS generator, and incidentally, the iTunes Link Generator. I have looked at the Affiliate API document which gives you some nice JSON back. they're not exclusively going through an iTMS host). If you have iTunes open, you can manually export the list of podcasts by exporting to OPML, so we can surmise that iTunes eventually knows how to decode them (i.e. I'm aware of the RSS generator, which can be used to generate a feed of links to podcasts, but these links are to HTML pages. I'm look at a way of turning an iTunes podcast id into the RSS feed that the podcast producer serves.