I just found out Overcast has an export of listening history which of course meant writing a script to parse it so I can do this on a regular basis. Guess I’m gunna backfill my blog as well with…~1400 episodes.

@rknightuk I did something similar with Netflix. They provide a list of all the movies and shows (episode by episode) one watched, and I wrote a simple script to sent it all to Day One.

@otaviocc Oh no here we go. I did not know they offered that.

@rknightuk @otaviocc both of you are adding to my to do list.

@rknightuk they’re adding stats this year which is exciting. It’s just a sqlite database being stored… somewhere.

@robb what‽ where?

@florianlionel On the web site, go to account and choose “all data”

@jsonbecker Ideally what I want is an RSS feed of listened episodes. I might drop Marco an email to suggest it.

@robb thanks.

@rknightuk @jsonbecker That would be cool. Let me know what he says. I would love to add that to my Now page.

@pratik @rknightuk knowing a bit about the architecture and how much Marco hates writing for the web and having any personal data, I’d say this is highly unlikely but can’t hurt to ask.

@rknightuk How are you planning to parse the OPML file into data you can publish on your blog? I'd love to use that information on my site too. But I'm not sure how best to work with an OPML file.

@robknight I have the parsing done for the most part but I’m still working out some kinks. Once I’ve worked it out I’ll stick it on GitHub

@rknightuk a wonderful conversation. I'd love to parse these sources as well (Overcast and Netflix). Wondering whether I can "subscribe" to this thread/topic to get notified once you publish something. 🤔

@rknightuk thanks a ton. I bookmarked your post to find the conversation again later. 😄

@rknightuk Curious what’s the status on this? Did you take it far enough to publish it on GitHub?

@holgerfrohloff I did: github.com/rknightuk...

@rknightuk awesome. Thank you. If anyone reads this, this post by @rknightuk explains it: rknight.me/automatin...