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https://github.com/joinemm/spotify-to-lastfm
:musical_note: Analyze and bulk scrobble your spotify data package into Last.fm
https://github.com/joinemm/spotify-to-lastfm
lastfm lastfm-api spotify
Last synced: about 1 month ago
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:musical_note: Analyze and bulk scrobble your spotify data package into Last.fm
- Host: GitHub
- URL: https://github.com/joinemm/spotify-to-lastfm
- Owner: joinemm
- License: mit
- Created: 2022-12-01T14:00:59.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2023-11-01T09:42:05.000Z (about 1 year ago)
- Last Synced: 2024-08-01T21:58:32.296Z (5 months ago)
- Topics: lastfm, lastfm-api, spotify
- Language: Python
- Homepage:
- Size: 158 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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- starred - joinemm/spotify-to-lastfm - :musical_note: Analyze and bulk scrobble your spotify data package into Last.fm (Python)
README
# HOW TO USE
## Step 1. Get your spotify data package
Navigate your favourite browser to https://www.spotify.com/us/account/privacy/
At the bottom you will find this 
Select `extended streaming history` and wait for you data package to arrive with the enthusiasm of a child waiting for their christmas present.
## Step 2. Parse, filter and convert spotify json into scrobbleable json
> Before getting started you need to install Python and Git however you wish.
Clone this repo where you want it:
```sh
git clone https://github.com/joinemm/spotify-to-lastfm
cd spotify-to-lastfm
```
Install dependencies:
```sh
python -m pip install -r requirements.txt
```
Move your spotify data.zip into this folder and extract it. You will find your scrobbling data in `./MyData`. Either keep it there or move it somewhere else. As long as you know the path.
Get lastfm api credentials from https://www.last.fm/api/account/create. Application details can be whatever it doesn't matter.
Fill your key, secret, username, password and date of your first last.fm scrobble into the `example.credentials.env` file and **rename it to `credentials.env`** (eg. remove the `example.` prefix, this is for version management reasons)
Alternatively you could supply these env variables in any other way you want.
> Any further commands assume your working directory is this repo
Convert your data. For example with data in `./MyData` and splitting into 2600 scrobbles per day (more about that later):
```sh
python convert.py MyData 2600
```
The resulting files will be split into json files in `/results/[n].json`
## Optional step: Analyze
At this point you could do some light analysis of your listening by using `analyze.py` with a given json split.
To analyze all of it, use the `-A` flag with the folder name as the argument.
```sh
python analyze.py results/1.json
python analyze.py -A results
```
To see statistics per year, you can use the yearly script:
```sh
python yearly.py results
```
## Step 3. Scrobble tracks to lastfm
Ready to import all your long lost plays of deadmau5 from 2012?
Select a file to scrobble and watch the results. Scrobbling will happen in blocks of 50 tracks and every track will have it's timestamp shifted by a minute from another, starting from 2 weeks ago to keep your weekly stats not fucked up. Lastfm has a hard limit of ~2800 scrobbles per day so keep that in mind. Running this more than once per day with max scrobbles **will** get you rate limited.
```sh
python scrobble.py results/1.json [-v]
```
Optional `-v` parameter will list every track as it scrobbles.