The Echo Nest API will stop serving requests on May 31, 2016. This means that it will no longer be possible to resolve Echo Nest IDs to metadata using a public service.

We are scraping as much metadata as possible, using the Million Song Dataset as a starting point.

We use python 3. Dependencies are provided in requirements and can be installed with pip.

Copy config.py.sample to config.py and fill in your Echo Nest API Key.

Download the MSD track metadata sqlite file.

lookup.py will search Echo Nest Song IDs from the track_metadata.db database and save profile information including IDs from all known Rosetta Stone buckets. Run it like this:

python lookup.py track_metadata.db

• We can query Echo Nest API using IDs from other rosetta stone ID spaces.
• To start with, get all artist MBIDs from MusicBrainz and map to EN Artist IDs
• Use Discogs artist list to search EN for artist ids
• Use /artist/songs to get other songs that Echo Nest knows about (starting with artists in MSD)
• Get other datasets/lists of IDs from other sources

• April 8: MSD lookup finished. Interestingly, lookups seem to have failed for ~20% of the available IDs
• April 8: We have collected MusicBrainz artist ids to look up on EN

We still need development effort on the following tasks:

• Search EN using artist names from Discogs (#1)
• Find all songs by an artist (#3)

This code is Copyright 2016 Music Technology Group, Universitat Pompeu Fabra. It is released under the GNU General Public License, v3 or later. See COPYING for more details.