Automation library · Data collection

Automating job searches on LinkedIn and X, then saving results

Started by a clock, and works across Notion and X. 17 steps, 1 branch, 2 loops or waits: a working afternoon to understand properly.

Medium

17 stepsMedium: a working afternoon
1Branch: places the flow splits
2Loops or waits
2Services it connects to

The flow

Starts it 2Logic 10Service 5

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

  1. 1Everyday @5am1Schedule triggerStarts it
  2. 2Everyday @5:15amSchedule triggerStarts it
  3. 3Set Search Criteria1SetLogic
  4. 4Set SearchSetLogic
  5. 5Search LinkedIn1Http RequestService
  6. 6Search Twitter Job PostsTwitterService
  7. 7Parse Jobs1CodeLogic
  8. 8Parse and Filter JobsCodeLogic
  9. 9Limit1LimitLogic
  10. 10Filter Valid JobsIfLogic
  11. 11Filter1FilterLogic
  12. 12Wait.WaitLogic
  13. 13WaitWaitLogic
  14. 14Save to Notion DatabaseNotionService
  15. 15Fetch Job Details1Http RequestService
  16. 16Extract Poster Info2CodeLogic
  17. 17Save to Notion3NotionService

How it's built

Starts on
A clock
Steps
17, with 1 branch, 2 loops or waits
Size
Medium: a working afternoon
Connects to
Notion, X
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

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

What starts it?

It starts on a clock.

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?

Plan an afternoon. 17 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 17 steps before you point it at anything that matters.