Automation library · Hiring

Build a LinkedIn hiring-signal data table with Apify and Slack

Started by a clock, and works across Apify, Slack and n8n data table. 10 steps: a working afternoon to understand properly.

Medium

10 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
3Services it connects to

The flow

Starts it 2Logic 4Service 4

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

  1. 1Every 12 HoursSchedule triggerStarts it
  2. 2Test ManuallyManual triggerStarts it
  3. 3Configure Target AccountsSetLogic
  4. 4Run Curly LinkedIn Jobs ScraperApifyService
  5. 5Normalize Hiring SignalsCodeLogic
  6. 6Remove Same-Run DuplicatesRemove DuplicatesLogic
  7. 7Keep Jobs Not Yet StoredData TableService
  8. 8Store New Hiring SignalsData TableService
  9. 9Build Optional Company DigestsCodeLogic
  10. 10Optional Slack DigestSlackService

How it's built

Starts on
A clock
Steps
10
Size
Medium: a working afternoon
Connects to
Apify, Slack, n8n data table
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

An n8n account, plus your own Apify and Slack 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. 10 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 10 steps before you point it at anything that matters.