How One Developer Built a Fast Multi-API Music Discovery Backend with FastAPI

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A developer building a music app called TheExperience faced the challenge of combining data from three separate APIs — Last.fm, MusicBrainz, and the Cover Art Archive — without slowing down search performance. The solution involved splitting the backend into two distinct stages: a lightweight discovery phase triggered by user search, and a deeper enrichment phase activated only when a specific album is selected. FastAPI and asynchronous HTTP clients were used to run independent API requests concurrently, reducing latency and avoiding wasteful calls. When Last.fm provides a MusicBrainz ID for an album, the backend skips a redundant search and resolves metadata directly, cutting the number of external requests needed. This architecture treats third-party services as potentially unreliable dependencies, making the overall pipeline faster and more resilient to failures.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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