Spotify Web Tool

This tool gathers publicly available Spotify data to compute metrics for tracks, artists, and playlists. It uses endpoints for track, artist, and playlist data, plus audio features to generate attributes like danceability, energy, tempo, and popularity. Users can submit a Spotify URL or URI along with a target type and optional date window to gauge performance over time. Conceptually, it aggregates per-item metrics and derives playlist or artist profile benchmarks for comparison. The tool emphasizes transparency in data sources and calculation methods, providing reproducible results suitable for reporting and planning. Use cases include playlist curators evaluating which tracks to promote, marketers validating content strategies, and researchers prototyping data-driven campaigns. Unique value comes from combining raw Spotify data with computed feature statistics and simple trend indicators in an exportable format. Core features include input normalization, data retrieval, feature extraction, computed scores, and summary outputs that can be exported as JSON or CSV. Advanced users may specify a time window and compare multiple items side-by-side, enabling data-driven decisions for marketing, programming playlists, or content strategy.