Recrutei Automações
Templates by Recrutei Automações
Automate LinkedIn job postings from Recrutei ATS with GPT-4o content generation
Overview: Automated LinkedIn Job Posting with AI This workflow automates the publication of new job vacancies on LinkedIn immediately after they are created in the Recrutei ATS (Applicant Tracking System). It leverages a Code node to pre-process the job data and a powerful AI model (GPT-4o-mini, configured via the OpenAI node) to generate compelling, marketing-ready content. This template is designed for Recruitment and Marketing teams aiming to ensure consistent, timely, and high-quality job postings while saving significant operational time. Workflow Logic & Steps Recrutei Webhook Trigger: The workflow is instantly triggered when a new job vacancy is published in the Recrutei ATS, sending all relevant job data via a webhook. Data Cleaning (Code Node 1): The first Code node standardizes boolean fields (like remote, fixed_remuneration) from 0/1 to descriptive text ('yes'/'no'). Prompt Transformation (Code Node 2): The second, crucial Code node receives the clean job data and: Maps the original data keys (e.g., title, description) to user-friendly labels (e.g., Job Title, Detailed Description). Cleans and sanitizes the HTML description into readable Markdown format. Generates a single, highly structured prompt containing all job details, ready for the AI model. AI Content Generation (OpenAI): The AI Model receives the structured prompt and acts as a 'Marketing Copywriter' to create a compelling, engaging post specifically optimized for the LinkedIn platform. LinkedIn Post: The generated text is automatically posted to the configured LinkedIn profile or Company Page. Internal Logging (Google Sheets): The workflow concludes by logging the event (Job Title, Confirmation Status) into a Google Sheet for internal tracking and auditing. Setup Instructions To implement this workflow successfully, you must configure the following: Credentials: Configure OpenAI (for the Content Generator). Configure LinkedIn (for the Post action). Configure Google Sheets (for the logging). Node Configuration: Set up the Webhook URL in your Recrutei ATS settings. Replace YOURSHEETID_HERE in the Google Sheets Logging node with your sheet's ID. Select the correct LinkedIn profile/company page in the Create a post node.
By Recrutei Automações Automate candidate creation in Recrutei with GPT-4 vacancy matching & resume parsing
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 vacancy_id 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 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). 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 vacancy_id corresponding to that job title in your ATS. Set Vacancy ID (Set): Extracts the clean vacancy_id (a number) returned by the AI. Get Pipe Stages (HTTP Request): Fetches the pipeline stages associated with the identified vacancy ID. Create Prospect in Recrutei (HTTP Request): Creates the new candidate (Prospect) in the Recrutei ATS, associating them with the correct vacancy_id and the first available pipe stage. 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. Extract Text from PDF Resume (Extract from File): Reads and extracts all text content from the uploaded PDF resume file. Add Curriculum as Observation (HTTP Request): Adds the extracted CV text as an internal observation/note (talentobservationtype_id: 11) to the newly created candidate's profile in Recrutei. Setup Instructions To implement this workflow, you must configure the following: Recrutei API Credential: Create a Header Auth credential named Recrutei API (or similar) with: Header Name: Authorization Header Value: Bearer YOURAPIKEY_HERE This credential must be selected in the nodes: Get Pipe Stages, Create Prospect in Recrutei, and Add Curriculum as Observation. 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: https://developers.recrutei.com.br/docs/obtendo-token
By Recrutei Automações AI-powered candidate nurturing with scheduled WhatsApp & Gmail follow-ups
What This Workflow Does This workflow automates the candidate nurturing process, solving the common problem of candidates losing interest or "ghosting" after an application. It keeps them engaged and informed by sending a personalized, multi-channel (WhatsApp & Gmail) sequence of follow-up messages over their first week. The automation triggers when a new candidate is added to your ATS (e.g., via a Recrutei webhook). It then uses AI to generate a custom 3-part message (for Day 1, Day 3, and Day 7) tailored to the candidate's age and the specific job they applied for, ensuring a professional and empathetic experience that strengthens your employer brand. How it Works Trigger: A Webhook node captures the new candidate data from your Applicant Tracking System (ATS) or form. Data Preparation: Two Code nodes clean the incoming data. The first (Separating information) extracts key fields and formats the phone number. The second (Extract age) calculates the candidate's age from their birthday to be used by the AI. AI Content Generation: The workflow sends the candidate's details (name, age, job title) to an AI model (AI Recruitment Assistant). The AI has a detailed system prompt to generate three distinct messages for Day 1 (Thank You), Day 3 (Friendly Reminder), and Day 7 (Final Reinforcement), adapting its tone based on the candidate's age. Split Messages: A Code node (Separating messages per days) receives the single text block from the AI and splits it into three separate variables (day1, day3, day7). Day 1 Send: The workflow immediately sends the day1 message via both Gmail and WhatsApp (configured for Evolution API). Day 3 Send: A "Wait" node pauses the workflow for 2 days, after which it sends the day3 message. Day 7 Send: Another "Wait" node pauses for 4 more days, then sends the final day7 message, completing the 7-day nurturing sequence. Setup Instructions This workflow is plug-and-play once you configure the following 5 steps: Webhook Node: Copy the Test URL from the Webhook node and configure it in your ATS (e.g., Recrutei) or form builder to trigger whenever a new candidate is added. Run one test submission to make the data structure visible to n8n. AI Credentials: In the AI Recruitment Assistant node, select or create your OpenAI API credential. MCP Credential (Optional): If you use a Recrutei MCP, paste your endpoint URL into the MCP Recrutei node. Gmail Credentials: In all three Message Gmail nodes (Day 1, 3, 7), select or create your Gmail (OAuth2) credential. Optional:* In the same nodes, go to Options and change the Sender Name from your_company to your actual company name. WhatsApp (Evolution API): This template is pre-configured for the Evolution API. In all three Message WhatsApp nodes (Day 1, 3, 7), you must: URL: Replace {server-url} and {instance} with your Evolution API details. Headers: In the "Header Parameters" section, replace yourapikey with your actual Evolution API key.
By Recrutei Automações Manage recruitment tasks in Slack with Recrutei ATS & GPT-4 Agent
Overview: Recrutei ATS - Ultimate Internal AI Agent This workflow transforms Slack into a powerful command center for recruitment. Using an AI Agent (LangChain) integrated with the Recrutei ATS API and MCP, your team can manage candidates, vacancies, tags and a lot more directly through Slack messages. Key Features Natural Language Processing: Use GPT-4 to interpret complex requests like "Find candidates for the Python role and tag them as 'Senior'". Candidate Management: Create prospects, disqualify candidates, or move them between pipeline stages. Vacancy Insights: Add and read comments on vacancies directly from the chat. Tagging System: Create, list, and delete tags dynamically. Setup Instructions Slack Trigger: Connect your Slack account and invite the bot to your desired channel. OpenAI: Configure your API Key. This agent uses GPT-4o-mini (or GPT-4) for high-reasoning capabilities. HTTP Request Tools: Every "Tool" node (Pink nodes) needs your Recrutei API Token. Replace the Authorization header with your Bearer YOUR_TOKEN. Update the Base URL if necessary. Slack Post: Ensure the bot has permissions to write in the channel.
By Recrutei Automações Launch job vacancies from ATS to Google Calendar, ClickUp and LinkedIn with GPT-4o
Overview: Automated Vacancy Launch & AI Marketing This workflow streamlines the entire job opening process by connecting your ATS to your operational and marketing tools. It not only manages deadlines but also automates the promotion of the vacancy. Key Features: Schedule: Creates SLA and Expiration events in Google Calendar based on ATS dates. Track: Creates a central task in ClickUp to manage the selection process. Content Generation: Uses GPT-4o to analyze the job description and write a compelling marketing post. Publish: Automatically posts the job to LinkedIn and logs the action back in the ClickUp task. Setup Instructions Webhook: Configure your Recrutei ATS (or similar) to trigger this workflow. Google Calendar: Select the calendar for deadline tracking. ClickUp: Map the Team, Space, and List where vacancy tasks should be created. OpenAI: Ensure you have a valid API Key. LinkedIn: Connect your profile or company page.
By Recrutei Automações Schedule interviews and send GPT-4 reminders with Google Calendar, Gmail, Slack and Recrutei
Overview: AI-Powered Interview Scheduling & Reminders This workflow automates the end-to-end process of scheduling technical or behavioral interviews. It captures interview data via Webhook, creates a Google Calendar event with an integrated Google Meet link, generates a personalized, professional reminder email using AI (GPT-4.1-mini), and automatically sends it via Gmail exactly 24 hours before the interview. Setup Instructions To implement this workflow, follow these steps: Webhook: Copy the Production URL and configure it in your Recrutei ATS to send interview JSON data. Google Calendar: Connect your account. The node is pre-configured to generate a "hangoutsMeet" conference link. OpenAI: Requires a valid API Key. The AI acts as a Recruitment Assistant to draft a professional email body. Wait Node: Currently set to "1 day before" the interview. You can adjust this timing based on your communication policy. Gmail: Connect your recruiter or company account to perform the final delivery. Recrutei's API: Inserts your Recrutei token in the Authorization header.
By Recrutei Automações