Automation library · Data collection

Screen CVs against job descriptions with Gmail and Airtable

Started by an arriving email, and works across Airtable and Gmail. 12 steps, 1 branch: a working afternoon to understand properly.

Medium

12 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Logic 3Service 8

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

  1. 1Gmail: Watch CV EmailsGmail triggerStarts it
  2. 2Download Email & AttachmentHttp RequestService
  3. 3Convert PDF to Base64Http RequestService
  4. 4Prepare PDF PayloadCodeLogic
  5. 5easybits: Extract CV DataHttp RequestService
  6. 6Airtable - Fetch Open JobAirtableService
  7. 7Score CV vs Job Description CodeLogic
  8. 8Route by Score IfLogic
  9. 9Airtable: Save Reviewed CandidateAirtableService
  10. 10Airtable: Save Review CandidateAirtableService
  11. 11Slack: Notify For ReviewHttp RequestService
  12. 12Slack: Notify For Review1Http RequestService

How it's built

Starts on
An arriving email
Steps
12, with 1 branch
Size
Medium: a working afternoon
Connects to
Airtable, Gmail
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

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

What starts it?

It starts on an arriving email.

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. 12 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 12 steps before you point it at anything that matters.