RSS and Atom, hAudio

RSS and Atom, hAudio

RSS and Atom, hAudio


To determine the least disruptive means of publishing extended-metadata for digital audio content within the scope of existing industry standards.?For the purposes of this

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research the particular category of extended metadata is detailed playlist information relating to music based podcasts.?Publish a podcast using the industry standard Atom XML feed syndication format and include playlist metadata.

Investigate how a typical feed aggregator might be able to:

  • Ingest the extended metadata
  • Exploit the extended metadata


Currently there are no widely accepted standards within the radio industry to disseminate

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extended metadata for on-demand digital audio content.
A consequence of this is that the following entities are not able to provide users with an entirely consistent and complete set of content attributes:

The current norm is to produce an iTunes compliant RSS or Atom XML feed document.?Natively these standard formats only support a very minimal set of metadata attributes for each child item such as a show episode.


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After some research the least disruptive means of publishing such extended metadata was determined to be the microformat hAudio.

It has the following benefits:

hAudio can be easily ingested by aggregation tools: we found that the following combination of open-source programming tools can be relatively easily configured to parse Atom XML data containing hAudio metadata

  • Python – interpreted, high-level programming language
  • FeedParser – universal feed parser for Python
  • BeautifulSoup – HTML/XML parser for Python

hAudio extended metadata might be exploited for example by:

  • Enabling track purchasing through embedded links within a playlist

More information can be found here on the Radio Connected Wiki.