Last.fm-Scrubbler-WPF VS pylast

I think it might be this: https://github.com/SHOEGAZEssb/Last.fm-Scrubbler-WPF

You can use the Scrubbler to import from csv

Thanks to Last.fm Scrubbler I've finally been able to merge scrobbles from my old account!

Oh sorry, must have missed that! I downloaded the CSV file via https://benjaminbenben.com/and then downloaded the last.fm scrubbler app on GitHub or at least I thought I did. The app can be downloaded through a link on https://github.com/SHOEGAZEssb/Last.fm-Scrubbler-WPF/releases/tag/B1.27 as far as I understand it. The downloads of both of those websites show up on my PC but I can't seem to start the app. I can click on see through the file yet nothing's happening unfortunately.

Hi, I have been trying to import the scrobbles from my previous last.fm account to my current account using scrubbler. I have it set to the file parse option, and I'm importing my previous scrobbles as a CSV. The issue I'm running into is that all of the artist names, song titles, and album titles are coming up with quotation marks around them, so they won't scrobble correctly. Anyone know how to fix this?

I'm currently looking for an alternative to the 1st party last.fm scrobbler for iTunes on windows.. I have tried last.fm scrubbler which is much better than the standard one, however it lacks features im looking for. If anyone knows of a scrobbler which does any of the following I would be greatful

Use a Python module like PyLast to get the current playing song Then use a module to play that song in Spotify (like this guide shows.)

I created a python script to iterate through my files, tag in genre data based on API queries via their python modules to Last FM and Spotify. You will need an API key. But the data is there, just need go out and get it. Picard works great on tagging my files, but I wanted multi genres since my player, MusicBee, can handle that. Something like that might be helpful for you. There are also analysis projects on the internet that will do graphing and things from you file data.

Similarly I capture genre based on Track and Artist from Last.fm using the Pylast module. This works well. I take all the genres I collect and compare it to master sheet that Pylast has, called genres-tree.yaml in the module files. If the genre is on that list then it gets added into the tag. It takes a bit of coding but it has been a fun project.

I'm working on a project to track my music listening history. I've written some code that uses the [pylast](https://github.com/pylast/pylast) library to gather my song plays; I then search for the track features using [spotipy](https://spotipy.readthedocs.io/en/2.19.0/) library.