Podcast Aggregator (downloader) http://software.complete.org/hpodder
|Latest on Hackage:||1.1.6|
This package is not currently in any snapshots. If you're interested in using it, we recommend adding it to Stackage Nightly. Doing so will make builds more reliable, and allow stackage.org to host generated Haddocks.
Podcasting is a method of publishing radio-like programs on the Internet. Through podcasting, almost anyone can produce their own audio program, and publish episodes of it as often or as rarely as they like.
To listen to podcasts, you need a program to download the podcast's episodes from the Internet. Such a program is called a podcatcher (or sometimes a podcast aggregator). hpodder is this program.
hpodder's features include:
Convenient, easy to learn, and fast command-line interface. It's simple to do simple things, and advanced things are possible.
Automatic discovery of feed metadata
Full history database for accurate prevention of duplicate downloads and tracking of new episodes
Conversion tools to convert your existing feed list and history from other applications to hpodder. Supported applications and formats include: castpodder and ipodder.
Most operations can work fully automatically across your entire podcast database, or they can work manually.
Automatic updating of ID3 (v1 and v2) tags based on metadata in the podcast feed. This important feature is available through iTunes but is often missed by other podcatchers.
hpodder operations can be easily scripted or scheduled using regular operating system tools.
Fully customizable naming scheme for downloaded episodes, including a name collision detection and workaround algorithm.
Automatic support for appending .mp3 extensions to MP3 files that lack them.
Numerous database and history inquiry tools
Small, minimalist footprint
Power users and developers can interact directly with the embedded Sqlite3 database used by hpodder. The database has a simple schema that is developer-friendly.
Support for resuming interrupted downloads of podcasts
hpodder is SAFE and is designed with data integrity in mind from the beginning. It should be exceedingly difficult to lose a podcast episode, even in the event of a power failure.