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LidaTube

Finds and fetches missing Lidarr albums using yt-dlp

360 stars 24 forks last commit first released GPL-3.0

Actively maintained

Last commit 21 Aug 2026.

LidaTube is a lightweight service that searches for and downloads missing albums for a Lidarr-managed music library by leveraging yt-dlp as a backend downloader. It integrates with the Lidarr API to discover missing releases and can optionally import fetched tracks back into Lidarr.

Key Features

  • Integrates with the Lidarr API to detect missing albums and trigger downloads
  • Uses yt-dlp to fetch audio/video sources and extract preferred codecs
  • Configurable scheduling to run syncs at specified hours and a thread limit for concurrent jobs
  • Match scoring with a configurable minimum match ratio and fallback-to-top-result option
  • Optional cookies support for yt-dlp to access restricted content
  • Optionally scans the Lidarr library after downloads and can attempt direct import of items
  • Docker-friendly (Docker image and docker-compose example) and environment-variable driven configuration

Use Cases

  • Automate filling gaps in a Lidarr music collection by fetching missing albums from online sources
  • Run scheduled rescans to keep a local music library synchronized with available online releases
  • Use as a bridge between Lidarr and yt-dlp for environments where traditional release sources are incomplete

Limitations and Considerations

  • Success depends on available online sources and yt-dlp's ability to find/convert suitable files; some albums may not be found or may have incomplete metadata
  • Matching is heuristic and may produce false positives; the minimum match ratio must be tuned for accuracy
  • Some content (age-restricted or geo-restricted) may require a cookies file to download correctly
  • Not a replacement for canonical release sources; quality and tagging depend on the source material and conversion settings

LidaTube is a pragmatic utility for users who want to extend Lidarr with yt-dlp-based fetching. It is suited for automated, scheduled downloads with configurable matching rules and integration options to streamline reimports into Lidarr.

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