Recruiting For Recruiters Intermediate Verified · July 2026

AI Resume Screener With Make.com And Claude

Download the Make.com blueprint to scan PDF resumes uploaded to Google Drive, screen them against a job description, and log them in Google Sheets.

Importing this blueprint? Follow the Make.com guide — credentials, test runs, and common pitfalls.

Open import docs →
Time Saved 8 hours/week
Setup Time ~30 minutes
Platform Make.com
Run Cost ~$0.03 per candidate
Connected Apps:
Claude 3.5 Sonnet Google Drive Google Sheets

Download Integration Assets

Import this editorially reviewed blueprint directly into your Make.com dashboard.

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Connected Apps

Claude 3.5 SonnetGoogle DriveGoogle Sheets

Interactive Workflow Canvas

Drag nodes vertically to re-order execution sequence. Edit or add steps to customize your blueprint.

Execution Steps

  1. Watch Folder for Uploads

    Triggers when a candidate uploads their PDF resume to a specific folder in Google Drive.

    Google Drive

  2. Extract PDF Text

    Converts the raw PDF document into plain readable text using Make's native parser.

    Make PDF Parser

  3. Score Candidate via Claude

    Claude 3.5 Sonnet matches candidate skills against the JD and scores them, listing gaps and strengths.

    Claude 3.5 Sonnet

  4. Log Candidate Details

    Appends the candidate's name, email, score, status, and feedback to a master Google Sheet tracker.

    Google Sheets

Prompt Customizer Sandbox

Prompt Preview 
You are an expert HR recruitment specialist.
Evaluate the candidate's resume text against the following Job Description (JD):

Job Description:
- Role: Senior React Developer
- Requirements: 5+ years JavaScript, 3+ years React, experience with TypeScript, Next.js, and Tailwind CSS.

Candidate Resume Text:
{{ 2.text_content }}

Determine if the candidate should be moved to the interview round.
Output a JSON object with:
{
  "status": "APPROVED" | "REJECTED",
  "score": number (1-10),
  "key_strengths": "1-2 sentences summarizing candidate strengths",
  "gaps": "gaps between candidate skills and JD"
}

Sifting through hundreds of resumes for a single open role is a massive time sink for recruiting teams.

This automation uses the advanced reading comprehension of Claude 3.5 Sonnet to screen resumes. When an applicant uploads a PDF resume, the file is parsed, analyzed, scored, and logged automatically. Your team only has to review the pre-screened list of qualified candidates.

Prerequisites

  1. A Make.com account
  2. Google Drive and Google Sheets accounts
  3. Anthropic API key (for Claude 3.5 Sonnet)

Setup Guide

  1. Import Blueprint: Download the Make.com blueprint file and import it into a new Make scenario.
  2. Setup Folder Structure: Create a Google Drive folder named Incoming Resumes. Configure the Google Drive trigger node to monitor this folder.
  3. Master spreadsheet: Create a Google Sheet with headers: Name, Email, AI Score, Status, Key Strengths, Gaps. Link it in the Google Sheets node.
  4. Define Job Description: Paste your job description into the Claude API system prompt block inside the scenario.

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