Checklist: Exporting and Analyzing Your Spotify History

Before You Start: Prerequisites and Account Check

Before you dive into your Spotify history export, let’s make sure you’ve got the basics covered. Skip this step, and you’ll waste time hunting for features that don’t exist yet.

• Check your account type – Both free and Premium Spotify accounts work for data exports. But you need at least a few months of listening history to get meaningful Spotify stats. A week’s worth of data? That’s noise, not insight.
• Use a desktop browser – This is a hard rule. The data request feature simply doesn’t exist on the mobile app. Open Chrome, Firefox, or Edge on your computer. Log in to your account there.
• Verify your email address – Spotify sends the download link to the email tied to your account. Make sure it’s valid and accessible. You don’t want to wait 30 days only to realize the confirmation went to an old inbox.
• Plan for a wait – Seriously, block out some patience. Spotify says it can take up to 30 days to prepare your data package. In my experience, it’s usually 7–14 days, but plan for the worst. Set a calendar reminder to check your email in two weeks.

Step 1: Request Your Extended Streaming History

This is where the magic starts. The default data download only gives you recent plays – not useful for real music analytics. You need the extended version.

• Navigate to Privacy Settings – Go to your account page, then click “Privacy Settings.” It’s buried under Account, but once you’re there, everything else is straightforward.
• Select “Extended streaming history” – This is the golden option. It includes every single play since you created your account, not just the last year. That’s thousands of data points for Spotify data analytics.
• Click “Request” and confirm via email – Spotify sends a confirmation link. Click it. Then wait. You’ll get another email when the data is ready. Don’t lose that second email – it contains your download link.
• Save the .json files in a dedicated folder – When the download arrives, unzip it immediately and put the files somewhere you won’t lose them. I use a folder called “Spotify_History_2026” on my desktop. Organization now saves headaches later.

Step 2: Organize and Understand Your Data Files

So you’ve got the files. Now what? This step trips up most people because the raw data looks like gibberish. Don’t panic – it’s simpler than it seems.

• Unzip and inspect the folder – Inside, you’ll find multiple .json files with names like StreamingHistory_music_0.json, StreamingHistory_music_1.json, and possibly endsong_0.json if you requested the full package. Each file is a chunk of your history.
• Understand the key fields – Every entry contains: ts (timestamp of when you played the track), ms_played (milliseconds listened – crucial for Spotify user analytics), master_metadata_track_name, and master_metadata_album_artist_name. That’s your gold mine.
• Combine multiple files – If you’ve been on Spotify for years, you’ll have several files. You can write a simple Python script to merge them, or just use a tool like rigtch.fm that handles merging automatically. Honestly, the manual approach is tedious – let the platform do the heavy lifting.
• Back up the raw files – Before you transform or upload anything, copy the original .json files to a separate location. If something goes wrong during analysis, you’ll want a clean starting point. Trust me on this one.

Step 3: Import and Analyze with rigtch.fm

This is where your Spotify history export transforms from a pile of JSON into something you can actually use. rigtch.fm makes this part dead simple.

• Create a free account at rigtch.fm – No credit card needed. Sign up, verify your email, and you’re in. The platform is built specifically for Spotify data analytics, so it knows exactly what to do with your files.
• Upload your combined .json file – Drag and drop. That’s it. rigtch.fm parses the data, cleans it, and structures it into a proper database. No coding, no command line, no frustration.
• Explore the dashboards – Once uploaded, you get immediate access to your Spotify analytics dashboard. See your top artists, most-played tracks, genre breakdowns, listening trends by month or year, and even skip rates. This is real music analytics – not just a list of songs.
• Export your analysis – rigtch.fm lets you save your findings as a shareable report or download a CSV for deeper work. Want to build a custom visualization in Excel or Tableau? Export the cleaned data and go wild.

“Most people stop at the Spotify Wrapped summary. But that’s a curated highlight reel. Your full history export shows the real picture – the songs you played twice and forgot, the albums you binged at 3 AM, the artists you fell in and out of love with. That’s where the interesting insights live.”

Step 4: Privacy and Data Management Tips

Your Spotify history is personal. It reveals your moods, your routines, even your location patterns (thanks to timestamps). Don’t treat it casually.

• Delete raw files from rigtch.fm after analysis – If you’re done with the deep dive, remove your data from the platform. Check their privacy policy first, but the option to delete is there. Better safe than sorry.
• Never share raw .json files publicly – Those files contain timestamps and device IDs. Someone could figure out when you’re home, when you commute, what time you go to sleep. That’s not paranoia – that’s basic data hygiene.
• Anonymize before posting insights – Want to share your top artists on social media? Great. But strip out timestamps and device info first. rigtch.fm’s export feature lets you generate a clean, shareable version without those sensitive fields.
• Request fresh data every 3–6 months – Your listening habits change. That artist you obsessed over in January might be forgotten by June. Regular exports keep your Spotify stats current and your Spotify user analytics meaningful. Set a recurring reminder on your calendar.

Final Thoughts: What You Actually Get From This

Following this checklist gives you more than just a data dump. You get a clear picture of your listening behavior – the kind of insight that Spotify Wrapped only hints at. You’ll see patterns you never noticed: the genres you gravitate toward under stress, the albums you replay obsessively, the songs you skip without fail.

And here’s the thing – once you’ve done this once, the next export takes ten minutes. The hard part is the first request and the wait. After that, it’s just uploading to rigtch.fm and exploring your Spotify analytics dashboard.

So go ahead. Start the request today. Set that reminder. And when the data arrives, you’ll know exactly what to do with it.