Quick Start
Start the container
Section titled “Start the container”docker run -d \ --name blockbusterr \ -p 9090:9090 \ -v blockbusterr-data:/app/data \ --restart unless-stopped \ ghcr.io/mahcks/blockbusterr:latest-betaOpen http://localhost:9090. To enable owner authentication, add -e BLOCKBUSTERR_AUTH_TOKEN="replace-with-at-least-32-random-characters" and sign in as blockbusterr.
Configure the first pipeline
Section titled “Configure the first pipeline”-
Choose a discovery provider
In Settings, configure at least one of TMDB, Simkl, Trakt, or MDBList. Only providers supported by a selected job type appear in the Jobs editor.
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Choose delivery
Configure Radarr for direct movie delivery, Sonarr for direct show delivery, or Jellyseerr/Seerr for request-based delivery. Test the connection and load any required profiles or root folders.
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Save Settings
Correct any validation errors before leaving the page. Credentials are stored in your local configuration; protect the mounted data directory.
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Create a job
Open Jobs, choose New job, then select a ready recipe. Blockbusterr creates it disabled with dedicated rules and opens Preview immediately. Use Custom Job when you need a combination outside the recipe catalog.
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Review Rules
Default Movies and Default Shows are created automatically. Edit the appropriate default or create a reusable rule set for this job. Use a job-specific copy when only one job should change.
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Preview
Open the job and select Preview. Review accepted, rejected, skipped, and already-present titles. Decision details identify the exact rule or delivery check involved.
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Enable and run
Save the job, enable it, and use Run now for the first live execution.
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Verify Activity
Use Activity Entries for title-level outcomes and Job Runs for found, passed, delivered, rejected, skipped, and failed totals.
Recommended first setup
Section titled “Recommended first setup”- One TMDB or Simkl Trending Movies job
- Default Movies rules with a language and reasonable year/rating boundary
- Jellyseerr/Seerr mode if you want approval before download
- A manual preview and one live run before relying on the schedule