Automate CV screening and applicant scoring from Gmail to Airtable with AI

Quick overview This workflow automatically processes job applications received via Gmail. It extracts the job code from the email subject and parses the attached CV using Gemini AI to retrieve applicant details.Each applicant is then scored against job requirements fetched from Airtable, with results and AI notes logged automatically to Applications table. How it works The workflow watches for new emails with attachments arriving under a specified Gmail label and triggers automatically on each new match. The job code is extracted from the email subject line (e.g., FN-001) and raw text is extracted from the attached CV PDF file. Gemini AI parses the extracted CV text and returns structured ap

Help me set up the n8n workflow "Automate CV screening and applicant scoring from Gmail to Airtable with AI" (https://n8n.io/workflows/6418). It uses: Airtable, Basic LLM Chain, Structured Output Parser, Google Gemini Chat Model, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.