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Automate candidate creation in Recrutei with GPT-4 vacancy matching & resume parsing

n8n9 modulesv1.0

OpenAI

At a glance

Automate candidate creation in Recrutei with GPT-4 vacancy matching & resume parsing is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI. It's free to download. Follow the 5-step import below to go live in minutes.

Platform: n8n
Connects: OpenAI

About this workflow

Overview: Automated Candidate Creation with AI Vacancy Matching This workflow automates the creation of new candidates in the Recrutei ATS directly from an n8n Form submission, ensuring a seamless "Apply Now" funnel. Its core feature is an AI Agent (OpenAI + Tool) that dynamically identifies the correct Recrutei vacancyid based on the applicant's selection in the form. The workflow also automatically extracts the text content from the candidate's PDF curriculum and uploads it as an internal observation (note) to the profile. This template eliminates manual data entry, guarantees that candidates are associated with the correct vacancy, and makes the resume content easily searchable within your Recrutei ATS. Workflow Logic & Steps 1. On Form Submission (Form Trigger): The workflow starts when a candidate submits the n8n Form, capturing Name, Email, Phone, the selected Vacancy Name (e.g., "Javascript Developer"), and the Resume (PDF file). 2. Get Vacancy ID from AI (OpenAI): The text name of the vacancy is sent to an AI Agent. The AI, guided by a specific System Prompt, uses the Recrutei's MCP Tool to accurately find the official vacancyid corresponding to that job title in your ATS. 3. Set Vacancy ID (Set): Extracts the clean vacancyid (a number) returned by the AI. 4. Get Pipe Stages (HTTP Request): Fetches the pipeline stages associated with the identified vacancy ID. 5. Create Prospect in Recrutei (HTTP Request): Creates the new candidate (Prospect) in the Recrutei ATS, associating them with the correct vacancyid and the first available pipe stage. 6. Merge Candidate Data (Merge): Merges the prospect creation output with the original form data to ensure all necessary details (like the resume file) are available for the next steps. 7. Extract Text from PDF Resume (Extract from File): Reads and extracts all text content from the uploaded PDF resume file. 8. Add Curriculum as Observation (HTTP Request): Adds the extracted CV text as an internal observation/note (talentobservationtypeid: 11) to the newly created candidate's profile in Recrutei. Setup Instructions To implement this workflow, you must configure the following: 1. Recrutei API Credential: Create a Header Auth credential named Recrutei API (or similar) with: Header Name: Authorization Header Value: Bearer YOURAPIKEYHERE This credential must be selected in the nodes: Get Pipe Stages, Create Prospect in Recrutei, and Add Curriculum as Observation. 2. AI Configuration: OpenAI: Configure your API Key in the Get Vacancy ID from AI node. Recrutei's MCP: Replace YOURMCPENDPOINTURLHERE in the Endpoint URL field of the Recrutei's MCP node with your actual Recrutei's MCP Server Endpoint URL. For more information about Recrutei API please refer to:

Automate candidate creation in Recrutei with GPT-4 vacancy matching & resume parsing

At a glance

About this workflow

How to import this n8n workflow

Setup guide

Step 1: Connect your apps

Step 2: Import the workflow JSON

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