Automation library · Data collection

Extract vocabulary flashcards from Spotify listening

Started by a clock, and works across Google Sheets. It hands the judgement calls to Gemini. 14 steps: a working afternoon to understand properly.

MediumCalls a model: Gemini

14 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 2Logic 5Service 6

The steps in the order they run, from what starts it.

  1. 1Google Gemini Chat ModelLm Chat Google GeminiModel
  2. 2Every Sunday at noonSchedule triggerStarts it
  3. 3AI AgentAgentModel
  4. 4Get the recently played SongsSpotifyService
  5. 5Parse, Deduplicate, Week CodeCodeLogic
  6. 6Cut out Duplicate SongsCodeLogic
  7. 7Create sheetGoogle SheetsService
  8. 8Cut out SheetName ColumnCodeLogic
  9. 9Append to All VocabulariesGoogle SheetsService
  10. 10Getting LyricsHttp RequestService
  11. 11Append to WeeklyGoogle SheetsService
  12. 12Put all Lyrics togetherCodeLogic
  13. 13Read all VocabulariesGoogle SheetsService
  14. 14Combine existing Words with new WordsCodeLogic

How it's built

Starts on
A clock
Steps
14
Size
Medium: a working afternoon
Connects to
Google Sheets
Model
Gemini

Questions

What does it need to run?

An n8n account, plus your own Google Sheets account, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 14 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 14 steps before you point it at anything that matters.