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Actual Budget $9.00 / month with a 7-day free trial and a $1.00 sign-up fee
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SuggestAarr

$9.00 / month with a 7-day free trial and a $1.00 sign-up fee

Automated media recommendations engine that queries TMDb and sends missing titles straight to Overseerr — so your library always has something new to watch.

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SKU: suggestarr Category:
Description

What is SuggestAarr?

SuggestAarr analyses your existing Plex, Jellyfin, or Emby library, queries TMDb for similar titles you don't already have, and automatically submits them as requests to Overseerr or Jellyseerr. The result is a self-filling library that gets smarter about your taste over time.

Features

  • 🤖 Auto-generates recommendations based on your existing library
  • 🎬 Queries TMDb for similar movies and TV shows
  • 📤 Sends requests directly to Overseerr or Jellyseerr
  • 🚫 Skips titles you already have or have previously rejected
  • ⏱️ Configurable schedule — run daily, weekly, or on demand
  • 🧩 Works with Sonarr, Radarr, and the full *arr ecosystem

SuggestAarr in Your Media Ecosystem

SuggestAarr sits between your media server and your request manager. It reads your Plex or Jellyfin library, generates a recommendations batch from TMDb, and pushes them through OverseerrRadarr / Sonarr → your storage. Add Pulsarr for Trakt-based recommendations as a complementary source.

Why ElfHosted?

SuggestAarr needs to run on a schedule and make authenticated API calls to multiple services simultaneously. Coordinating those credentials across a home server setup — and keeping the schedule alive after reboots — is fiddly. ElfHosted runs SuggestAarr as a persistent service alongside your other *arr apps so recommendations flow automatically without intervention.

Technical Specs

  • 💾 Included storage: minimal (state database only)
  • 🔌 Integrates with: Plex, Jellyfin, Emby, Overseerr, Jellyseerr, TMDb
  • 📋 Requires: TMDb API key (free) and an Overseerr or Jellyseerr instance

FAQ

Will it flood Overseerr with hundreds of requests at once?
No — SuggestAarr has configurable batch limits so you control how many requests are submitted per run.

Does it learn from rejected recommendations?
Yes — titles you decline are tracked and excluded from future recommendation batches.

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