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The “Spotify Wrapped hack” is not an account exploit. It is a legitimate shortcut: download your Spotify listening history and calculate a private, year-to-date Wrapped-style report before Spotify publishes its annual recap. For the most complete and transparent result, request Extended Streaming History and analyze it locally. You can also check Spotify’s in-app Listening Stats first for a faster, limited view.
The fastest way to check your Spotify stats
Open Spotify and check your profile menu, Home feed, or search for Listening Stats. Spotify has been expanding weekly and monthly listening views, but the feature’s labels, date ranges and availability can vary by account, country, platform and app version. A current report from TechRadar describes newer weekly and monthly options.
Use the in-app view when you only need a quick snapshot. Use the export when you want lifetime history, custom dates, minutes listened, skip analysis, monthly charts or a result you can reproduce.
The most accurate method: download your listening history
Request the files
- Open Spotify Account Privacy and sign in.
- Choose Download your data, using Spotify’s current privacy-request labels.
- Request the relevant account-data package. If the automated package contains only recent history, use the available privacy-request or support route to request Extended Streaming History.
- Wait for Spotify’s notification and download the ZIP. Delivery time varies by request type and account.
- Extract the JSON files into a folder on your computer.
Spotify confirms that machine-readable personal-data downloads are available through Account Privacy in its data-rights guidance.
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Standard versus extended history
| Export | What it is useful for | Important limitation |
|---|---|---|
| Standard streaming history | Typically includes the past year, stream end time in UTC, track or item title, artist or creator and milliseconds played. | It may not cover your account’s full lifetime. |
| Extended Streaming History | Can cover lifetime listening and add timestamp, platform, country, IP address, user agent, track URI, start/end reasons, shuffle, skip, offline and private-session fields. | It may require a separate request and contains more sensitive data. |
Spotify documents these fields in Understanding your data. File names change between export generations, so identify files by their contents. Look for names resembling StreamingHistory*.json, Streaming_History_Audio_*.json or endsong_*.json, plus any “Read Me First” document.
Privacy warning: Extended files can include IP addresses, country, device platform and user-agent information alongside detailed listening records. Keep the raw ZIP local, or redact those fields before sharing. Do not upload it to an unknown converter or statistics site.
Create a report without coding
A spreadsheet is enough if you first convert the JSON to CSV or use software that can import JSON. LibreOffice Calc keeps processing local; Google Sheets is convenient but uploads the data to a cloud account.
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- Combine every history file covering your chosen period into one table.
- Add a
minutescolumn withms_played / 60000. - Extract a
yearandmonthfrom the timestamp, remembering that Spotify supplies timestamps in UTC. - Filter to January 1 through December 31 for a calendar-year report, or choose and document a different cutoff.
- Create pivot tables: artist by count and minutes; track by count and minutes; album plus artist by count and minutes; and month by total minutes.
- Sort each pivot from largest to smallest and use the results for your own cards or graphics.
Keep separate leaderboards for most played (qualifying rows) and most listened to (total milliseconds or minutes). A short song can win repeat count while a long track wins listening time.
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Set up the folder
spotify-history/
Streaming_History_Audio_0.json
Streaming_History_Audio_1.json
Streaming_History_Audio_2.jsonInstall pandas:
python -m pip install pandasRun this local script
from pathlib import Path
import json
import pandas as pd
YEAR = 2026
MIN_PLAY_MS = 30_000
rows = []
for path in Path("spotify-history").glob("*.json"):
with path.open("r", encoding="utf-8") as f:
data = json.load(f)
if isinstance(data, dict):
data = data.get("items", data.get("history", []))
if isinstance(data, list):
rows.extend(data)
df = pd.DataFrame(rows)
timestamp_col = next(c for c in ["ts", "endTime", "end_time"] if c in df.columns)
track_col = next(c for c in ["master_metadata_track_name", "trackName", "track_name"] if c in df.columns)
artist_col = next(c for c in ["master_metadata_album_artist_name", "artistName", "artist_name"] if c in df.columns)
ms_col = next(c for c in ["ms_played", "msPlayed"] if c in df.columns)
df["played_at"] = pd.to_datetime(df[timestamp_col], utc=True, errors="coerce")
df["ms_played_clean"] = pd.to_numeric(df[ms_col], errors="coerce").fillna(0)
df = df[(df["played_at"].dt.year == YEAR) & (df["ms_played_clean"] >= MIN_PLAY_MS)].copy()
df["minutes"] = df["ms_played_clean"] / 60_000
top_artists = (df.groupby(artist_col).agg(plays=(track_col, "count"), minutes=("minutes", "sum")).sort_values(["minutes", "plays"], ascending=False).head(20))
top_tracks = (df.groupby([artist_col, track_col]).agg(plays=(track_col, "count"), minutes=("minutes", "sum")).sort_values(["plays", "minutes"], ascending=False).head(20))
print(f"Total minutes: {df['minutes'].sum():,.1f}")
print("nTop artists by listening time:")
print(top_artists)
print("nTop tracks by play count:")
print(top_tracks)The script supports common field names from different export generations. If it stops at a missing column, open one JSON file in a text editor and substitute the actual header. Change YEAR for another period and MIN_PLAY_MS to change your qualifying-play rule.
Choose your ranking rules before calculating
Define a play
The export records duration, not a universal “official play” verdict. You can count every row, require at least 30 seconds, count only completed tracks, or exclude obvious previews and accidental starts. State the rule beside every chart. The 30-second setting in the script is an analytical choice, not a promise about every Wrapped edition.
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Handle albums and content types
- Group albums by artist plus album title, not album title alone.
- Keep podcasts and audiobooks separate from music.
- Use the skip field for a “most skipped” chart, with a minimum number of starts.
- Spotify’s 2025 methodology said an album qualified after listening to a majority of its tracks (a 70% threshold); simply summing album rows is only a DIY approximation.
Use the right clock and period
Timestamps are UTC, so a late-night stream can fall on a different local date. Convert to your time zone before daily streaks or monthly charts. A calendar-year report runs January 1 through December 31. A Wrapped-style estimate can stop at a cutoff you label clearly. Spotify said its 2025 Wrapped used listening through approximately mid-November, but the 2026 cutoff is not confirmed as of August 18, 2026.
Useful cards to generate
- Total minutes and hours.
- Top artist by plays and by minutes.
- Top song by qualifying plays, with its total minutes.
- Top album by artist-plus-album grouping.
- Monthly listening and longest sessions.
- First qualifying play of an artist or track.
- Repeat rate: the share of all plays represented by your top 10 tracks.
- Listening streak, using one qualifying stream per local calendar day.
Why DIY figures will not exactly match official Wrapped
Your report is a transparent estimate, not official Spotify Wrapped. Spotify uses proprietary processing and can change its rules. Differences can come from:
- A cutoff before the end of December.
- Ranking signals that are not simply rows, plays or minutes.
- Different treatment of skips, interruptions, podcasts, audiobooks, local files or other content.
- Private-session behavior. Spotify documents that Private Session hides listening activity and prevents Top Artists from updating; current controls can reset after six hours or an app restart.
- UTC dates versus local calendar dates.
- Duplicate artist or album names and inconsistent metadata.
Do not label a DIY total as your “official Wrapped stats.” Call it a year-to-date report, calendar-year analysis or Wrapped-style estimate.
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Third-party services: convenience versus control
| Option | Best for | Trade-offs |
|---|---|---|
| stats.fm | Polished dashboards, mobile charts and imported Spotify history. | May require authorization or upload; historical completeness, features and Plus pricing must be checked on stats.fm Plus. |
| Last.fm | Ongoing scrobbling and long-term charts. | It cannot reconstruct listening from before tracking began and records its own scrobbles. Review its privacy policy. |
| Spotify Web API | Compliant applications using currently available account or catalog data. | Not a guaranteed lifetime playback ledger; follow the Spotify Developer Policy. |
When a service asks for a Spotify login, use Spotify’s official authorization screen, inspect permissions, never type credentials into an unfamiliar form, and revoke access from your Spotify account when finished. Local export analysis is the strongest choice for privacy and custom rules.
Troubleshooting
Only recent history was downloaded
You likely received standard streaming history. Recheck Account Privacy for an extended-history request or support route, and do not infer lifetime rankings from a one-year file.
The JSON will not open
Inspect the first lines in a text editor. The data may be a list or an object containing an items or history array. Combine files only after confirming their schemas match.
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The totals look wrong
Check your minimum-duration rule, UTC conversion, content filters, duplicate metadata and whether you sorted by plays or minutes. Album calculations should use artist plus album.
You want live year-to-date numbers
Re-request the export periodically, connect an established tracker before the period begins, or build a compliant personal application. None of these guarantees Spotify’s future Wrapped formula.
Share the results safely
Publish aggregated totals or screenshots rather than raw JSON. Remove usernames, IP addresses, exact timestamps, device details and country fields. Design your own graphics and describe them as DIY results; do not imply they are official Spotify Wrapped cards. Spotify’s latest verified release was 2025 Wrapped on December 3, 2025, so no 2026 release date should be presented as confirmed yet.
The Bottom Line
For the most accurate pre-release recap, download Spotify’s Extended Streaming History, define your play and date rules, and calculate the results locally. It gives you a defensible Wrapped-style report without pretending to unlock Spotify’s unreleased or proprietary features.
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