Trend Analysis
Labels monitor charts and playcounts to spot rising artists
Extract last.fm's rich music metadata for trend forecasting, recommendation systems, artist analytics, and scrobble insights across millions of tracks and users worldwide.
Last.fm tracks users' music listening habits by scrobbling plays from various apps and devices. It generates personalized recommendations, charts, and profiles based on scrobbles. Users discover similar artists, tags, and trends through public artist and track pages. It's for music enthusiasts seeking to analyze habits and find new music.
Structured data categories available from last.fm. Fields are configurable to match your schema.
Scope is tailored to your target pages and business requirements.
Labels monitor charts and playcounts to spot rising artists
Developers use similar artists data for ML models
Analysts study listener stats for genre trends
Curators pull top tracks for user playlists
Marketers analyze tags for audience preferences
We may also cover these related targets — click to view scraping pages where available.
Send us a quick inquiry with your target pages, fields, and delivery requirements.