Gregory's Server@neilhimself there are tools that transform the raw data into browseable content. Will have a look for you when I get out of bed :)
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6 comments
 @mom101 @neilhimself this was the tool I was thinking of, but it looks like DM parsing is not implemented yet. Hopefully soon! https://github.com/timhutton/twitter-archive-parser @phocks @mom101 @neilhimself I've been plugging away at a different issue on this (parsing likes, because my Twitter account was almost purely a content ingestion machine). As part of this I have discovered that it is possible to get a guest token for the Twitter API, bypassing the need to sign up for a developer account. I might take a crack at DM identification next - however, I don't have any sample data yet (no DMs in my personal account, now waiting on the archive for another one). This capability is n active development right now. Look at the most recent comments on this github issue: https://github.com/timhutton/twitter-archive-parser/issues/6 @phocks @neilhimself it is browseable at the moment. The problem is that the recipient data is purposedly not incuded. No names nor avatars nor handles. |
@phocks @neilhimself I would love to know as well!