Automation library · CRM

AI-Powered Job Matching Pipeline: LinkedIn Scraping + LLM

Started by a clock. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Gemini. 15 steps: a working afternoon to understand properly.

MediumCalls a model: Gemini

15 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 2Logic 7Service 5

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

  1. 1Schedule TriggerSchedule triggerStarts it
  2. 2HTTP RequestHttp RequestService
  3. 3Extract from FileExtract From FileService
  4. 4Message a modelGoogle GeminiModel
  5. 5Format JobsCodeLogic
  6. 6LinkedIn Search URLCodeLogic
  7. 7Fetch LinkedIn JobsHttp RequestService
  8. 8Parse JobsCodeLogic
  9. 9Split OutSplit OutLogic
  10. 10Fetch Job DescriptionHttp RequestService
  11. 11Extract JDCodeLogic
  12. 12Analyze Jobs with AIGoogle GeminiModel
  13. 13Parse AI ResultsCodeLogic
  14. 14Format Telegram MessagesCodeLogic
  15. 15HTTP Request1Http RequestService

How it's built

Starts on
A clock
Steps
15
Size
Medium: a working afternoon
Connects to
Nothing by connector; it calls services over plain HTTP
Model
Gemini

Questions

What does it need to run?

An n8n 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. 15 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 15 steps before you point it at anything that matters.