Automation library · Data collection

Scraping last 24 hours tweets from twitter users with Postgres

Started by an event in a connected app, and works across Postgres. 8 steps, 2 loops or waits: small enough to read in one sitting and change without fear.

Small

8 stepsSmall: readable in one sitting
0Branches: places the flow splits
2Loops or waits
1Service it connects to

The flow

Starts it 1Logic 4Service 3

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

  1. 1When clicking ‘Execute workflow’Manual triggerStarts it
  2. 2Get users (username & ID)PostgresService
  3. 3Loop Over ItemsSplit In BatchesLogic
  4. 4pass one itemCodeLogic
  5. 5get last tweetsHttp RequestService
  6. 6split & get all dataCodeLogic
  7. 7add data to supabasePostgresService
  8. 8WaitWaitLogic

How it's built

Starts on
An event in a connected app
Steps
8, 2 loops or waits
Size
Small: readable in one sitting
Connects to
Postgres
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

An n8n account, plus your own Postgres account. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

No. Every step is fixed logic or a call to a service, so it does the same thing every time.

How long does it take to set up?

Not long. At 8 steps it can be read in one sitting and changed without fear.

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 8 steps before you point it at anything that matters.