I am wanting to write a python program that reads a list of artists and creates a playlist with the top three songs from each artist. Is there a way to do this directly from the artist's name or would I have to create a list of artist IDs? If that is the case - I might as well make the playlist manually.
Thanks for your help!
How very timely. I literally just wrote a program that does almost exactly this today.
https://github.com/streadgold/FestivalPlaylistMaker
It reads in a list of artists (one per line) from lineup.txt and converts them to IDs and returns their top 5 tracks. Just change the limit from 5 to 3 and it sounds like it is exactly what you are asking for. Or at least a decent starting point.
Related
I'm trying to get a large list of songs released in year X, together with their number of plays/streams.
I've been using Spotify API, and I have a number of highly popular songs. Now, for my purposes, I also need a list of non-popular songs (low play counts). I am wondering if there is any strategy to get a list of songs (maybe last played ones?), and extract their release year and number of total plays?
I've been going through the API documentation and I can only find 'popularity', which seems different from total number of plays. Secondly, I haven't found a way to get a list of last played songs yet. Should I be considering another type of strategy?
I know that you can get a list of recently played songs of all users in certain user groups in last.fm. Perhaps there is something similar in Spotify API?
Unfortunately, there is no way to get play counts through the Spotify API, only the Popularity metric.
first time posting.
I wanted to ask if anyone knows how I can search on YouTube for, let's say, music video's that have been viewed between a set number of times. Like the title says for example, between 9 and 11 million times.
One reason I want to do this is because I want to find good music that I haven't heard before. The logic I'm working on is that the Got Talent type video's that get viewed millions of times are generally viewed that many times for one of two reason. 1) they're amazing. 2) they're embarrassingly horrible.
And though I don't think a song being popular will necessarily mean I'll like it, I'm hoping this method will be successful to some degree.
Another reason is to look for trailers for independent films with a similar logic as above. Though with these movies I think I only hear about them six months to a year after they've been released because they're flying under the radar.
If I were to be able to search for movie trailers with 'x' number of views though.. for example, between 500,000 and a million, maybe I'd be able to find movies that I'll like quicker than via time passing and them getting mentioned to me by a friend.
Any help would be greatly appreciated as I've wanted to be able to perform these kind of searches for awhile now.
thanks
You will need to use YouTube API v3.
I havent written this exact request but it looks like you can list videos then filter by 'Chart' = 'mostPopular'
https://developers.google.com/youtube/v3/docs/videos/list
Perhaps a bit of background reading on the API would help too...
https://developers.google.com/youtube/v3/
First off, you would need the Youtube Data API. "v3" means nothing because it's simply the current version, like "Windows 10."
The API lets you get a video's view count, but doesn't put it in a range like 9 million to 11 million.
Youtube's own search function is pretty sophisticated. For instance,
https://www.youtube.com/results?search_query=movie+trailer&search_sort=video_view_count&filters=month. This gives all results for "movie trailer," within the last month, sorted by view count. You can customize the URL, i.e. "week" instead of month would return only trailers from the last week. Or year, etc. Essentially this is a "Videos: List: MostPopular" query, with subject filter.
I have a few Youtube API scripts, and I hardly think it's worth the hassle to do it that way when Youtube's advanced search get you 99% there. If you did, you would need to to a Search:list query for a given subject (i.e. "movie trailer"). Limited to a given time frame (i.e. last month). Then for each video ID, make a Videos:list query to get its view count. Then print all, sorted by views.
I have a list of songs - is there a way (using the Spotify / Echo Nest API) to look up the Spotify ID for each track in bulk?
If it helps, I am planning on running these IDs through the "Get Audio Features" part of their API.
Thanks in advance!
You can use the Spotify Web API to retrieve song IDS. First, you'll need to register to use the API. Then, you will need to perform searches, like in the example linked here.
The Spotify API search will be most useful for you if you can provide specifics on albums and artists. The search API allows you to insert multiple query strings. Here is an example (Despacito by Justin Bieber:
https://api.spotify.com/v1/search?q=track:"' + despacito + '"%20artist:"' + bieber + '"&type=track
You can paste that into your browser and scan the response if you'd like. Ultimately you are interested in the song id, which you can find in the uri:
spotify:track:6rPO02ozF3bM7NnOV4h6s2
Whichever programming language you choose should allow you to loop through these calls to get the song IDs you want. Good luck!
It has been a few years, and I am curious how far you got with this project. I was doing the same thing around 2016 as well. I am just picking up the project again, and noticing you still cannot do large bulk ID queries by Artist,Title.
For now I am just handling HttpStatusCode 429 and sleeping the thread as I loop through a library. It's kind of slow but, I mean it gets the job done. After I get them I do the AudioFeatures query for 100 tracks at a time so it goes pretty quickly that way.
So far, this is the slowest part and I really wish there was a better way to do it, or even a way to make your own 'Audio Features' based on your library It just takes a lot of computing cycles. However ... one possible outcome might be to only do it for tracks that you cannot find on Spotify ;s
Title says almost everything.
I found that the music "Boom - 2006 Remastered Version" has two different IDs that can be found in the App:
3EKjTDAEIdyQqsA9qtb5P2
0zlAqnRv07p9ezzFf3k2ky
But when using the API to get information about each one, it returns the same ID:
3EKjTDAEIdyQqsA9qtb5P2
Is this a bug?
It is unfortunately not a bug, but it is indeed very annoying, and your code needs to be able to handle it.
"Give me info for track A! Ok, here is info for track B, just like you asked".
It is a legacy thing still left in the Spotify metadata model called track redirects (the some concept exist on albums and artist too, but are less of a problem there). It was made so that we could quickly merge duplicate albums. It means that once upon time, there were two "different" tracks on different albums that were identical. We had lots of them on artists pages for popular artists. Labels would very often upload one album for one country and another identical one for another country instead of just saying that one album was available in two countries. Sometimes by mistake, most often because of cross licensing issues between labels and countries.
Track redirects are quite rare though if you look at the entire catalog. Most of these redirect tracks are only surfaced in old playlists and are for instance never returned in search results or artist pages. These days we never merge duplicates like this, but instead make sure only one is shown on artist pages, etc. and link to the other in case one is unavailable in your country. That is the concept called Track relinking in the docs. https://developer.spotify.com/web-api/track-relinking-guide/
I work at Spotify and bump into this problem every now and then. I want to change this so the tracks and album become just regular duplicates, because it is much easier to reason about, but it will take a while to fix. I guess I can update my answer here in a few years when it is done.
I'm looking for methods that work in practise for determining some kind of acoustical similarity between different songs.
Most of the methods I've seen so far (MFCC etc.) seem actually to aim at finding identical songs only (i.e. fingerprinting, for music recognition not recommendation). While most recommendation systems seem to work on network data (co-listened songs) and tags.
Most Mpeg-7 audio descriptors also seem to be along this line. Plus, most of them are defined on the level of "extract this and that" level, but nobody seems to actually make any use of these features and use them for computing some song similarity. Yet even an efficient search of similar items...
Tools such as http://gjay.sourceforge.net/ and http://imms.luminal.org/ seem to use some simple spectral analysis, file system location, tags, plus user input such as the "color" and rating manually assigned by the user or how often the song was listened and skipped.
So: which audio features are reasonably fast to compute for a common music collection, and can be used to generate interesting playlists and find similar songs? Ideally, I'd like to feed in an existing playlist, and get out a number of songs that would match this playlist.
So I'm really interested in accoustic similarity, not so much identification / fingerprinting. Actually, I'd just want to remove identical songs from the result, because I don't want them twice.
And I'm also not looking for query by humming. I don't even have a microphone attached.
Oh, and I'm not looking for an online service. First of all, I don't want to send all my data to Apple etc., secondly I want to get only recommendations from the songs I own (I don't want to buy additional music right now, while I havn't explored all of my music. I havn't even converted all my CDs into mp3 yet ...) and secondly my music taste is not mainstream; I don't want the system to recommend Maria Carey all the time.
Plus of course, I'm really interested in what techniques work well, and which don't... Thank you for any recommendations of relevant literature and methods.
Only one application has ever done this really well. MusicIP mixer.
http://www.spicefly.com/article.php?page=musicip-software
It hasn't been updated for about ten years (and even then the interface was a bit clunky), it requires a very old version of Java, and doesn't work with all file formats - but it was and still is cross-platform and free. It does everything you're asking : generates acoustic fingerprints for every mp3/ogg/flac/m3u in your collection, saves them to a tag on the song, and given one or more songs, generates a playlist similar to those songs. It only uses the acoustics of the songs, so it's just as likely to add an unreleased track which only you have on your own hard drive as a famous song.
I love it, but every time I update my operating system / buy a new computer it takes forever to get it working again.