With more than 40 million songs, Spotify offers a massive music library that you can listen to online without taking your storage space. If you pay the premium subscription fee, you can also listen to music offline.
7 Free Ways to Download Spotify to MP3 in 2020
The only problem is that you can’t transfer them anywhere or play them with other music players other than Spotify because the music files you downloaded with Spotify are DRM(Digital Rights Management) protected. In this article, I will show you 7 ways to download songs from Spotify as MP3 without recording even if you don’t have Spotify Premium. No matter what devices you use, you can find at least 2 methods that work for you.
Spotify is a digital music service that gives you access to millions of songs. Spotify is all the music you’ll ever need. Listening is everything - Spotify. Our Web API lets your applications fetch data from the Spotify music catalog and manage user’s playlists and saved music. The OMDb API is a free web service to obtain movie information, all content and images on the site are contributed and maintained by our users.
![]() Disclaimer
All these methods are for personal or educational use only.
You should not use any of these tools to pirate or distribute music.
Some of the methods may be illegal to use this in your country, so be informed.
Method 1: Download Spotify song or playlist with Siri Shortcuts
If you are using an iOS device, you probably have heard of the automation application Shortcuts, which is the updated version of Workflow. I have three shortcuts to help you download music from Spotify.
If you are not familiar with Shortcuts, you can free download it from AppStore and get a few pre-made shortcuts in the Shortcuts Gallery to see how it work. To get the shortcuts that I am about to show you, you just open the link in Safari to download it.
This Spotify playlist downloader can only download an entire Spotify playlist. You will have an option to select some of the tracks in the playlist to download if you don’t want to download them all.
Note: This only works for playlist. It won’t work if you input a Spotify track link. It is recommended to run it from Spotify share sheet.
You can simply copy the Spotify playlist link from Spotify app and run this shortcut. You can also tap the Share button to run this shortcut from the share sheet. Besides the playlist link, you can also input playlist ID Or playlist URI to download Spotify playlist to MP3.
When downloaded, you can open the Files app, and then select iCloud > Shortcuts > Music to check the downloaded MP3 file. If you are not familiar with iOS Shortcuts, be sure to watch this video below to see how it works.
For advanced users, you can also use Shortcuts to Move Spotify Playlist to Apple Music and vise versa. Though the authentication process is a little complicated when you want to transfer playlists to Spotify by using Spotify API.
Method 2: Download Spotify to MP3 Using Telegram Bot
If you use Telegram, you can simply use a Telegram bot to download free music whether you are on Android or iOS. It does not require any setup or your Spotify account login info. All you need is this @SpotifyMusicDownloaderBot. After you get this bot, type “/start” (without quotes) and then you can paste any Spotify track link to start downloading music for free. If you are using iOS, you may want to tap the Share button and save to Files after the music is downloaded.
If you do like using Telegram bots to download music, you probably also want to check this post to get more Telegram Bots for music.
Method 3: Download Spotify Playlist to FLAC or MP3
There is another open-source software called Deezloader, which is developed to download music from Deezer, can also be used to download a playlist from Spotify. The software actually converts the Spotify playlist to Deezer playlist and then download music from Deezer. You can set it to download Spotify Playlist as MP3 or FLAC. The lastest version Deezloader Remix 4.2.2 also allows you to download any single Spotify track and it much easier to set up.
Step 1. Download and install Deezer Remix. Log in with your Deezer account (free account also works).
Step 2. Go to this link: https://developer.spotify.com/dashboard/applications and log in with your Spotify account (free account works).
Step 3. Click on Create a Client ID and then compile the form as you like.
Step 4. Save the settings and then you will see the Client ID and Client Secret. Copy the Client ID and Client Secret to Deezloader Remix.
If you are using an older version of Deezloader Remix, the setup is a little bit complicated than this. You can refer to this video to see the configure process.
As you know, not all tracks on Spotify are also available on Deezer, so you will see some tracks are failed to download because Deezloader cannot find the matched songs. If you want a tool to download all tracks from Spotify playlist, keep reading to see the next tool.
Update: Since Deezloader is discontinued, you can only use this method to download 128kbps MP3. If you prefer high quality, jump to Method 5.
Method 4: Download Spotify to MP3 with AllToMP3
AllToMP3 is free open source software that allows you to download music from Spotify, YouTube, SoundCloud, and Deezer. It is available in Windows, macOS, and Linux. If you check the source code, it is easy to find out that it actually matches the Spotify music track with YouTube video and convert YouTube video to MP3, so the music quality is not as good the other methods. You can free download from its website or Github.
After installation, you can paste the Spotify song link or playlist link and press Enter to start downloading. The music, by default, will be saved in the Music folder. The downloaded music files include all the tags and cover art, but the quality is nowhere close to the next free tool.
Method 5: Download Spotify Music Using Allavsoft
Allavsoft is your ultimate media downloader software for Windows and Mac. It allows you to directly download Spotify playlist, album music to MP3, FLAC, WAV, M4A, WMA, etc with ID3 tags.
The latest version allows you to download Spotify music as FLAC (1441 kbps). Unlike Deezloader, you download all the songs that Deezloader cannot download, literally, unmatched songs with Allavsoft. For me, Allavsoft is the best Spotify Music Downloader.
Once you get it installed, you can copy the Spotify music link whether it is a song, album, or playlist and then launch Allavsoft. The program will automatically paste the URL and you just need to click Download to start downloading.
By default, it saves Spotify music to MP3 as 320 kbps with artwork and other metadata, so you don’t need to check the option “Automatically Convert to”. If you choose the Best Available quality, you may find some songs are downloaded as FLAC 1411 kbps, which is really cool. If you want to convert Spotify Music to FLAC, WAV, AIFF, AAC, WMA, DTS, etc, you can click the “Automatically Convert to” button to select the specific format from the drop-down menu.
Besides Spotify, Allavsoft allows you to download music from Deezer, SoundCloud, MixCloud, and download videos from Udemy, Lyda, YouTube, Facebook, etc. That is to say, Allavsoft is the only downloader software that you ever need.
Method 6: Convert Spotify music to MP3 with TuneMobie
There are many programs that claim to be able to convert Spotify, but deep down they are recording the audio, TuneMobie is one of them. I tried both free and paid versions. Let me tell you how it really works.
When you open this program TuneMobie, it asks you to launch the Spotify app or download it if you haven’t. Then you can see in the preference where you can select to save as mp3, m4a, WAV, and FLAC. These are all the supported audio formats and other settings that you customize. Who is spotify free.
When you try to convert a song, the Spotify app actually plays the song, but you hear no sound. Compared to other audio-recording kinds of competitors, Tunemobie Spotify Converter is 5 times faster. Usually, it takes less than 1 minute to convert a song.
You can also copy a playlist link to download Spotify playlist as MP3 or other formats. The trial version allows you to download (record) unlimited tracks for the first 3 munites in 30 days, which is much better than its competitors.
Method 7: Download Spotify with a Chrome extension
If you use Chrome web browser, you can install this free extension and then you can see a download button appears when you go to Spotify web player. You now can click on the download button to download almost all the songs from Spotify web player.
Why do I say almost? Because this extension certainly is not downloading music from Spotify directly. You just download music from its own server, so you will see some Spotify tracks are not available in their server for downloading. Some tracks downloaded using this extension may not be the same version as the Spotify version. Bonus: Chimera — Multiple Source Music Downloader for Advanced Users Only
Chimera is a command-line based multiple source music downloader that allows you to download music from Spotify, Deezer, Tidal, Soundcloud, Napster, Qobuz, Google Play Music, etc.
It is open-source and completely free to use for educational and private use only. It is very powerful, but the setup process is more complicated than the other methods. You can choose Spotify source from Deezer, Tidal, or Qobuz.
As you know, Tidal and Qobuz provide Hi-res quality music. If you have paid subscription, you can use this tool to download Spotify music in very high quality in FLAC format. Spotify premium apk brasil.
You will need to grant your Spotify account through Spotify client ID and client secret. Based on your choice, you need to also set up Deezer, Tidal, or Qobuz account. For detailed steps, check this guide to see how to set it up.
Conclusion
That’s all the seven different methods for downloading Spotify music to MP3. If you care about music quality, then Allavsoft is the best choice. Personally, I like the Allavsoft method the most because it is convenient, high quality, and with cover art. More importantly, you don’t need any other video/music downloader software anymore once you have Allavsoft installed since it supports more than 1000 websites.
If you really love the iOS environment, then Shortcuts is a great way to download music on iPhone. Now, it is your turn. Which method are you going to try first? If you have other better method to download music from Spotify, please share it in the comments.
Spotify has a very developer-friendly API one can use to stream their services via apps, websites, and other very serious ventures — or you can just tinker around with their massive music database and find out how “danceable” your 2020 playlist was.
Most tutorials on this for Python rely on the awesome
spotipy package. But I prefer to bake my own janky cake before I try other people’s production-level code. And there’s a bit less out there for Python-sans-spotipy, so I thought I’d share a get-started guide here.
This blog is in three parts: first we get registered as a Spotify Developer and use our client credentials to get an access token; second we do some very basic exploration of things like album listing or track properties; third we combine all this into some more interesting analysis.
Getting access![]() Getting client credentials
Whether you’re using
spotipy or rolling your own, first you need to get client credentials to the Spotify API.
Assuming you already have a Spotify account (free or paid), head over to Spotify for Developers and open your Dashboard. Click on “Create a Client ID” and work your way through the checkboxes.
This is designed for developing actual mobile apps and streaming services, and we are just doing some hobbyist tinkering, so there may be some confusing choices, but just pick something.
Click on the new project and you should see a “Client ID” and “Client Secret” on the left-hand side. These numbers are the only important part of this page, for us. At this point, you could use these to start working in
spotipy or other pre-fab libraries out there (here’s one for R called spotifyr , of course). Or, like Stevie Nicks, you can Go Your Own Way. Read on:
Getting an access token
Now let’s open up our Python environment of choice. Right now we just need to send some GET and POST requests, so let’s use the
requests library, and save those client credentials from our Spotify project’s page:
In order to access the various endpoints of the Spotify API, we need to pass an access token. There’s docs on Spotify for this, or user tutorials — but essentially we just need to POST a request with our client credentials and save the appropriate part of the response:
The access token itself is just a long alphanumeric string, like the client credentials. This is our golden ticket to access the API.
Poking around
https://proofbrown691.weebly.com/free-spotify-to-youtube-playlist.html. There are a million endpoints to access things like album listings, artist information, playlists, even Spotify-generated audio analysis of individual tracks like their key, time signature, or “danceability.”
In order to access them, we send a properly formed GET request to the API server, with our
access_token in the header. Let’s save this header info now, in the following very specific format:
Let’s start with checking out the audio features for a specific track, using the
audio-features endpoint.
We’ll need the Track ID, which you can get by going to Spotify, clicking the “…” by a track, then “Share”, then “Copy Spotify URI”. On your clipboard is now something like:
spotify:track:6y0igZArWVi6Iz0rj35c1Y . The ending is the Track ID, which is all we need:
Now we can convert this response to JSON and take a peek around:
Cool. And even cooler: the Spotify API docs give detailed explanations of the meanings of each of these values.
(Technical sidenote: earlier we did a POST request, which carried our credential information in the message body and is fairly secure. Now we’re doing a GET request, which carries the request in the URL itself, and is therefore less secure but fine for data requests like this.)
Java Spotify Api
With a growing sense of the power we now wield, let’s expand our exploration.
Putting it togetherGetting the data
Let’s now pick an artist, grab all their albums, all the tracks from each album, and store the audio features and analysis of each one in a big dataframe, then see what sort of interesting things we find.
(BTW, this also spares us grabbing tons of URIs by hand. No need for that, and anyway there are huge annotated lists of these, for example on Kaggle.)
I’m going to do Led Zeppelin because they have a big, varied discography which should be fun to explore (and because I’m just a huge fan). Their URI (grab it the same as for a track) is
spotify:artist:36QJpDe2go2KgaRleHCDTp and the endpoint for pulling albums is artists/{id}/albums , so we do
Don’t forget the
headers and note I’ve added a set of params to tell Spotify I only want full albums (no singles, appears-on, etc) and to give me everything (max is 50).
The jewel of this JSON is the list of albums in
items , so e.g. d['items'][0] is a JSON of the first album in the list. We can take a look at all the albums we grabbed and their release dates:
There’s nearly 40, and lots of “duplicates”, not to mention compilations and live albums and backing tracks that we might not want to analyze. Let’s attack this by skipping duplicates as we go along, skipping everything after their last studio album in 1982, and handling individual track issues later.
We’d like to loop through each album, grab each track with
albums/{id}/tracks , grab the track’s audio info like in the previous section, and dump it all into a dataframe. Simple enough!
Okay this is the subset of albums we were hoping for. Now we just need some way to convert a list of
dicts into a nice dataframe. Pandas to the rescue:
It’s really as easy as that. We can now do some house-cleaning tasks:
Check out the first few rows:
Spotify Api DataDoing some vizSpotify App Free
Let’s plot some of this nice data. I’m working in a Jupyter notebook, and I’m going to do a mix of
seaborn and matplotlib here, so I’ll do
Since we have all these nice Spotify-generated properties for each track, a natural idea would be to look at any patterns across the albums. Let’s start with scatter plots. We can try, say, “acousticness” against “valence” (valence is basically a measure of sad (0.0) to happy (1.0)), colored by album, and sized by length of track:
Interesting to see how much these guys shifted away from the folk-inspired acoustic tracks in later albums, how a lot of their “saddest” pieces are acoustic, and how varied they are overall — the scatter covers almost the whole 1x1 plot! Niccce. Data science: validating what you kind of already knew.
Spotify Api Play Song
This is only capturing 1 interaction though … we could keep plotting pairs of attributes … OR, we could try to find a 2-dimensional “embedding” of the entire dataset so that if two tracks are “similar” across all dimensions, they will appear “close” in the 2-dimensional scatter.
There are many approaches to this problem of “dimensionality reduction” — for example, Principal Component Analysis (PCA) is a classic method that projects points onto a lower-dimensional hyperplane in a way that maximizes the explained variance, but it’s limited in that it is strictly linear. We could instead find/learn a nonlinear surface on which to project the points, like various “manifold learning” techniques.
Spotify Api Docs
Let’s do this with the popular t-SNE algorithm which comes conveniently bundled with
scikit-learn . t-SNE is admittedly, a bit finicky, but it sounds exotic and we are trying to have fun here people.
We can use the standard
sklearn pattern of Model().fit_transform() and plot:
This is, admittedly, not as compelling as I’d hoped, but some patterns emerge: the bottom right is an eclectic mix of basically all their pre-Presence hits, from Stairway to Bron-y-Aur Stomp to Moby Dick. That little cluster of 5 songs on the middle left are all the hyper-epic ballads: In My Time of Dying, Achilles Last Stand, Carouselambra.
So in some sense, these songs share some fundamental high-dimensional similarity! Maybe! Or maybe we’re just reading the tea-leaves! Anyway, it’s all very fun.
Other ideas
Other fun things to investigate might be playlists (instead of single artists), profiling your own musical tastes like they do here, doing some more deliberate clustering of an artist’s discography, or going wild and investigating the structure of individual tracks with the
audio-features endpoint that gives things temperature and pitches per beat of the song. For example, why use Spotify-meta-data like “danceability” when you could just cluster directly on the second-by-second timbre and rhythms of each song?
Hope this has been helpful, feedback always welcome.
Written on May 1st , 2020 by Steven Morse
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