"Where can I get a legit spotify user information dataset??"
Seriously tho, I’ve been digging around for a *spotify user information dataset* for days and everything I find is either outdated, sketchy, or locked behind some paywall. Like, why’s it so hard??
I need something clean—preferably with listening habits, demographics, maybe even playlist data. Anyone got a lead?
Tried Kaggle but most stuff there feels half-baked. And don’t even get me started on those “free” datasets that turn out to be spam traps.
If y’all know a solid source (or have one lying around), pls share. Would save me a ton of time.
Also, if you’ve worked with a *spotify user information dataset* before, drop some tips. What’s worth scraping vs. what’s a waste of effort?
Thanks in advance! 🙏
Have you checked out the Spotify Web API? It’s not a pre-made spotify user information dataset, but you can pull listening habits, playlists, and even some demographic-ish data (if users make it public).
Downside: you’d need to build your own scraper or use something like Spotipy (Python lib). But at least it’s legit and up-to-date.
Kaggle’s hit or miss, yeah. Maybe try Academic Torrents? Sometimes researchers dump music datasets there.
Bro, same struggle. Every "free" spotify user information dataset I found was either fake or from like 2018.
Try this:
- Use the Spotify API (free tier lets you pull some data).
- Check GitHub—some folks share cleaned datasets from their projects.
- Avoid random "data marketplaces." 99% scams.
If you find something good, lmk. I’m stuck too.
Honestly, your best bet is scraping via the API. Pre-made spotify user information datasets are rare because of privacy stuff.
Pro tip: Focus on public playlists. You can get tracks, timestamps, and sometimes user info if they’re not private.
Also, peek at MusicBrainz—it’s metadata-heavy but might help fill gaps.
Why not just simulate the data? If you need demographics + habits for testing, tools like Mockaroo let you fake realistic-ish spotify user information datasets.
Not perfect, but way safer than sketchy downloads.
For real data, yeah, API or bust.
Ugh, the paywall thing is so real. I gave up and just used the Spotify API + a cron job to collect my own spotify user information dataset over time.
It’s slow, but at least I know it’s clean.
Side note: Avoid "dataset aggregator" sites. Most just repackage old Kaggle junk.
Yo, thanks for all the tips! Didn’t realize the API was this flexible. Gonna try Spotipy + scraping public playlists first.
That GitHub repo was clutch too—already found some usable stuff.
Quick Q: Anyone know if the API lets you pull age ranges, or is that locked down?
(Still open to more leads if y’all got ‘em.)
Check out this GitHub repo: [link redacted]. Someone scraped 10k public playlists last year. Not perfect, but it’s something.
For demographics, you might need to merge with another dataset (like census data) if you’re doing analysis.
Spotify’s API docs are your friend here.
If you’re in academia, try reaching out to researchers who’ve published on music streaming. Sometimes they share spotify user information datasets for replication.
Otherwise, yeah, API scraping is the way. Painful, but reliable.
Lol @ "sketchy or paywalled." Story of my life.
Try this:
1. Use Spotipy to pull top tracks by region (kinda proxies for demographics).
2. Scrape Last.fm—their data’s messy but has user habits.
Not ideal, but it’s free and semi-legit.
