Screen CVs against job descriptions with Gmail, easybits, Airtable and Slack

Description

How it works

A CV arrives by email. easybits extracts structured candidate data from the PDF: same JSON schema every time, regardless of CV layout or language. The workflow then fetches the open job description from Airtable, compares the candidate's skills against the role requirements, calculates a match score, saves the candidate record, and sends a Slack notification flagged as shortlist or review.

What makes this different

The scoring is based on the actual job description, not a static keyword list. Upload a new job description, and the scoring updates automatically for every new CV.

Set up steps

Create a free easybits.tech account and set up two pipelines: one for CV extraction, one for job description extraction. Copy the pipeline IDs.
Add your Gmail OAuth2 credential in n8n
Add your easybits API key as a Header Auth credential
Add your Airtable personal access token — create two tables: Jobs and Candidates (schemas in sticky notes)
Add your Slack webhook URL
Run the Job Description Parser workflow first by emailing a job description PDF to your recruitment inbox
Then activate the CV Screening workflow — it reads from the Jobs table automatically

Prerequisites

easybits.tech account (free tier available)
Gmail account with OAuth2 access
Airtable account
Slack workspace with incoming webhooks enabled

Setup time: approximately 20 to 30 minutes