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

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