dbt-spotify-analytics
spotify-data-reader
dbt-spotify-analytics | spotify-data-reader | |
---|---|---|
1 | 20 | |
120 | 4 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dbt-spotify-analytics
spotify-data-reader
- why are the numbers wrong?
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Why is my file not being imported?
You need to open the Zip file first. Inside the zip file are the files you need. See steps 5+ of the guide
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Radiohead just missing out on the top spot. Guess my number 1.
There’s a guide on the stats.fm website here.
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#1 spotify listener!!
However, spotify's web API doesn't account for everything. To get a more accurate and indepth read on your data, you can request your extended listening history of spotify by following this tutorial . It will come in about a month in the form of JSON files, which you can then put thru the paid version of Stats.fm !!!! It's only like 2 bucks and was so much fun to go thru. The nice thing about Stats.fm is that it continues to update as you listen, so you only have to do a big import once.
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Issues with Spotify data wave
Follow all the instructions here. But before uploading, change all the file names that are like year_x.json to endsong_x.json (for the last one, x can be any number).
- How to import your data
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How to import your data to appear in the list of top listeners?
Check our support site: https://support.stats.fm/docs/import/spotify-import
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spotify sending wrong file
Have you elected the extended history box on the privacy page when you requested your data? Check https://support.stats.fm/docs/import/spotify-import
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I recently got 10K minutes in Eminem, here are my top 20 tracks by him.
How to import streaming history
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Guys I think I’m a fan of nutshell
It’s all time. You request the data from Spotify directly and then import the files to the app. The import is the part you need to buy premium for.Instructions are on the stats.fm website.
What are some alternatives?
frappe - Low code web framework for real world applications, in Python and Javascript
SpotifyRewind - Python scripts to analyze raw Spotify user account data
wal-e - Continuous Archiving for Postgres
spotify-downloader - Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
airflow-dbt - Apache Airflow integration for dbt
trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.