Scraping 2.5 million songs metadata from Jango Radio
Jango. It's a music streaming service. No it's not Spotify. Yes I know you've never heard of Jango. So I spent the past few months scraping metadata for every song on Jango Radio and put it in a database and made it searchable. I built a search tool which includes the kind of features that only a nerd would want like search by ID and search by URL. https://jango-index.ml/ I used Bash and Btrfs for the backend scraper. I used PHP and SQLite for the frontend search. https://jango-index.ml/src/ I'm not interested in monetizing what I did. I wouldn't be…
What it does
In the maker’s words, at launch
Jango. It's a music streaming service. No it's not Spotify. Yes I know you've never heard of Jango. So I spent the past few months scraping metadata for every song on Jango Radio and put it in a database and made it searchable. I built a search tool which includes the kind of features that only a nerd would want like search by ID and search by URL. https://jango-index.ml/ I used Bash and Btrfs for the backend scraper. I used PHP and SQLite for the frontend search. https://jango-index.ml/src/ I'm not interested in monetizing what I did. I wouldn't be interested in a marketing campaign to raise the notoriety of Jango Radio to the point that you would notice it exists either. I'm aware that my project looks like crap to web design obsessed marketing posers who pretend to code. I happen to enjoy coding and I did a coding project. I know coding is an intrinsically valueless endeavor. I did it anyway.
Does the same job
all alternatives →- ITI trained an AI model on 120M+ songs from iTunes2023 · maroofy.com · ▲753
Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic…
- IBI built a site that lets users find playlists by songs they contain2022 · playlists.dags.dev · ▲295
- DFDigs.fm – For passionate music explorers (like Goodreads but for music)2022 · digs.fm · ▲131
Hello everyone! As someone who's constantly on the look for new music to discover and being very deliberate about the things I'm listening, I needed a better way to organize the albums I want to listen to, listened and liked. And also I would like to see the discoveries of other folks who I know I like. So I started creating the tool I wish I had in the first place. In Digs, the basic idea is that: - you can add music releases (albums, EPs, singles, mixes) in three lists: Want to Listen, Listened, Digged. You can also use tags and notes to better organize these lists. - you get a public…
- ISI scrape Steam data every month and it's yours to download for free2025 · gginsights.io · ▲161
Yeah, there's AI, but I added it because I found it easier to find answers I'm looking for. For the data scientists, you can download the CSV and go crazy. Would love to know what discoveries or learnings can be found from it. To download the raw scraped data you need to become a paid member but you don't really need it unless you're wanting to finesse a table of data for a particular need. The cost is mostly just an incentive to help me pay the bills for running the website. The bunch of available CSV files contain large amounts of data which has everything from tags, genres, pricing,…
- BFBrew.fm – Let bots discover new music on Spotify for you2022 · brew.fm · ▲128
Use Spotify? This tool will automate your music discovery for you. Join here (100% perpetually free with no strings attached): https://brew.fm Some time ago, I built and showed HN[1] brew.fm, a tool helping artists remix each other’s work. It had been quiet, and I remembered how fun it was to work with the Spotify API, so I repurposed the tool to solve one of my own problems: missing out on new music of my favorite artists. I shared it on Reddit yesterday[2], and this seems to hit a spot for more people: so far 833 people connected their Spotify account. How it works: The tool…
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