Workflow Templates

🚀 HR Resume Screening Workflow — Smart Hiring on Autopilot 🤖 🎯 Overview: "This workflow builds an AI-powered resume screening system inside n8n. It begins with Gmail and Form triggers that capture incoming resumes, then uploads each file to Google Drive for storage. The resume is downloaded and converted into plain text, where two branches run in parallel: one extracts structured contact details, and the other uses an AI agent to summarize education, job history, and skills while assigning a suitability score. A cleanup step normalizes the data before merging both outputs, and the final candidate record is saved into Google Sheets and Airtable, giving recruiters a centralized dashboard to identify top talent quickly and consistently.” 🔑 Prerequisites: To run this workflow successfully, you’ll need: Gmail OAuth** → to read incoming resumes. Google Drive OAuth** → to upload and download resume files. Google Sheets OAuth** → to save structured candidate records. Airtable Personal Access Token** → for dashboards and record-keeping. OpenAI / OpenRouter API Key** → to run the AI summarizer and evaluator. ⚙️ Setup Instructions: Import the Workflow Clone or import the workflow into your n8n instance. Add Credentials Go to n8n → Credentials and connect Gmail, Google Drive, Google Sheets, Airtable, and OpenRouter/OpenAI. Configure Key Nodes Gmail Trigger → Update filters.q with the job title you are hiring for (e.g., "Senior Software Engineer"). Google Drive Upload → Set the folderId where resumes will be stored. Google Sheets Node → Link to your HR spreadsheet (e.g., “Candidates 2025”). Airtable Node → Select the correct base & table schema for candidate records. Test the Workflow Send a test resume (via email or form). Check Google Sheets & Airtable for structured candidate data. Go Live Enable the workflow. It will now run continuously and process new resumes as they arrive. 📊 End-to-End Workflow Walkthrough: 🟢 Section 1 – Entry & Intake Nodes: 📧 Gmail Trigger → Polls inbox every minute, captures job application emails, and downloads resume attachments (CV0, CV1, …). 🌐 Form Trigger → Alternate entry for resumes submitted via a careers page or job portal. ✅ Quick Understanding: Think of this section as the front desk of recruitment - resumes received either by email or online form, and the system immediately grabs them for processing. 📂 Section 2 – File Management Nodes: ☁️ Upload File (Google Drive) → Saves the incoming resume into a structured Google Drive folder, naming it after the applicant. ⬇️ Download File (Google Drive) → Retrieves the stored resume file for further processing. 🔎 Extract from File → Converts the resume (PDF/DOC) into plain text so the AI and extractors can work with it. ✅ Quick Understanding: This is your digital filing room. Every resume is safely stored, then converted into a readable format for the hiring system. 🤖 Section 3 – AI Processing (Parallel Analysis) Nodes: 🧾 Information Extractor → Pulls structured contact information (candidate name, candidate email and candidate phone number) using regex validation and schema rules. 🤖 AI Agent (LangChain + OpenRouter) → Reads the full CV and outputs: 🎓 Educational Qualifications 💼 Job History 🛠 Skills Set 📊 Candidate Evaluation Score (1–10) 📝 Justification for the score ✅ Quick Understanding: Imagine having two assistants working in parallel, one quickly extracts basic contact info, while the other deeply reviews the CV and gives an evaluation. 🛠️ Section 4 – Data Cleanup & Merging Nodes: ✏️ Edit Fields → Standardizes the AI Agent’s output into a consistent field (output). 🛠 Code (JS Parsing & Cleanup) → Converts the AI’s free-text summary into clean JSON fields (education, jobHistory, skills, score, justification). 🔗 Merge → Combines the structured contact info with the AI’s evaluation into a single candidate record. ✅ Quick Understanding: This is like the data cleaning and reporting team, making sure all details are neat, structured, and merged into one complete candidate profile. 📊 Section 5 – Persistence & Dashboards Nodes: 📑 Google Sheets (Append Row) → Saves candidate details into a Google Sheet for quick team access. 🗄 Airtable (Create Record) → Stores the same structured data into Airtable, enabling dashboards, analytics, and ATS-like tracking. ✅ Quick Understanding: Think of this as your HR dashboard and database. Every candidate record is logged in both Google Sheets and Airtable, ready for filtering, reporting, or further action. 📊 Workflow Overview Table: | Section | Key Roles / Nodes | Model / Service | Purpose | Benefit | | --- | --- | --- | --- | --- | | 📥 Entry & Intake | Gmail Trigger, Form Trigger | Gmail API / Webhook | Capture resumes from email or forms | Resumes collected instantly from multiple sources | | 📂 File Management | Google Drive Upload, Google Drive Download, Extract from File | Google Drive + n8n Extract | Store resumes & convert to plain text | Centralized storage + text extraction for processing | | 🤖 AI Processing | Information Extractor, AI Agent (LangChain + OpenRouter) | Regex + OpenRouter AI {gpt-oss-20b (free)} | Extract contact info + AI CV analysis | Candidate details + score + justification generated automatically | | 🛠 Data Cleanup & Merge | Edit Fields, Code (JS Parsing & Cleanup), Merge | n8n native + Regex Parsing | Standardize and merge outputs | Clean, structured JSON record with all candidate info | | 📊 Persistence Layer | Google Sheets Append Row, Airtable Create Record | Google Sheets + Airtable APIs | Store structured candidate data | HR dashboards & ATS-ready records for easy review and analytics | | 🔄 Execution Flow | All connected | Gmail + Drive + Sheets + Airtable + AI | End-to-end automation | Automated resume → structured record → recruiter dashboards | 📂 Workflow Output Overview: Each candidate’s data is standardized into the following fields: Candidate Name Candidate Email Contact Number Educational Qualifications Job History Skills Set AI Score (1–10) Justification 📌 Example (Google Sheet row): 📊 Benefits of This Workflow at a Glance: ⏱️ Lightning-Fast Screening** → Processes hundreds of resumes in minutes instead of hours. 🤖 AI-Powered Evaluation** → Automatically summarizes candidate education, work history, skills, and gives a suitability score (1–10) with justification. 📂 Centralized Storage** → Every resume is securely saved in Google Drive for easy access and record-keeping. 📊 Data-Ready Outputs** → Structured candidate profiles go straight into Google Sheets and Airtable, ready for dashboards and analytics. ✅ Consistency & Fairness** → Standardized AI scoring ensures every candidate is evaluated on the same criteria, reducing human bias. 🛠️ Flexible Intake** → Works with both Gmail (email applications) and Form submissions (job portals or career pages). 🚀 Recruiter Productivity Boost** → Frees HR teams from manual extraction and data entry, allowing them to focus on interviewing and hiring the best talent. 👉 Practical HR Use Case: “Screen resumes for a Senior Software Engineer role and shortlist top candidates.” Gmail Trigger → Captures incoming job applications with CVs attached. Google Drive → Stores resumes for record-keeping. Extract from File → Converts CVs into plain text. Information Extractor → Pulls candidate name, email, and phone number. AI Agent → Summarizes education, job history, skills, and assigns a suitability score (1–10). Code & Merge → Cleans and combines outputs into a structured candidate profile. Google Sheets → Logs candidate data for quick HR review. Airtable → Builds dashboards to filter and identify top-scoring candidates. ✅ Result: HR instantly sees structured candidate records, filters by score, and focuses interviews on the best talent.

This workflow transforms traditional REST APIs into structured, AI-accessible MCP (Model Context Protocol) tools. It provides a unified gateway that allows Claude AI to safely, granularly, and auditibly interact with any business system — CRM, ERP, databases, SaaS — through a single MCP-compliant interface. How it works Receive MCP Tool Request - Webhook ingests tool call from AI agent or MCP client Validate & Authenticate - Verifies API key, checks JWT token, validates MCP schema Tool Registry Lookup - Resolves requested tool name to backend API config and permission scope Claude AI Intent Verification - Confirms tool call parameters are safe, well-formed, and within policy Rate Limit & Quota Check - Enforces per-client tool call limits before execution Execute Backend API Call - Routes to the correct business system API with mapped parameters Normalize & Enrich Response - Standardizes API response into MCP tool result schema Audit & Log - Writes immutable access log for compliance and observability Return MCP Tool Result - Delivers structured response back to the AI agent Setup Steps Import workflow into n8n Configure credentials: Anthropic API - Claude AI for intent verification and parameter validation Google Sheets - Tool registry, rate limit tracking, and audit log SMTP - Alert notifications for policy violations Populate the Tool Registry sheet with your API endpoints Set your MCP gateway API key in the validation node Activate the workflow and point your MCP client to the webhook URL Sample MCP Tool Call Payload { "mcpVersion": "1.0", "clientId": "agent-crm-001", "apiKey": "mcp-key-xxxx", "toolName": "crm.get_customer", "parameters": { "customerId": "CUST-10042", "fields": ["name", "email", "tier"] }, "requestId": "req-abc-123", "callerContext": "User asked: show me customer details" } Supported Tool Categories CRM Tools** — get_customer, update_contact, list_deals ERP Tools** — get_inventory, create_order, update_stock Database Tools** — query_records, insert_record, update_record Communication Tools** — send_email, post_slack, create_ticket Analytics Tools** — run_report, fetch_metrics, export_data Features MCP-compliant schema** — works with any MCP-compatible AI agent Granular permission scopes** — read/write/admin per tool per client Claude AI intent guard** — blocks malformed or policy-violating calls Rate limiting** — per-client quota enforcement Full audit trail** — every tool call logged for SOC2 / ISO 27001 Explore More Automation: Contact us to design AI-powered lead nurturing, content engagement, and multi-platform reply workflows tailored to your growth strategy.

🔧 Automated Video Generator (n8n Workflow) 🚀 Features End-to-End Video Creation from user idea or transcript AI-Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter) Voiceover Generation with customizable TTS voices Image Scene Generation using generative models like together.ai Clip Creation & Concatenation into a full video Dynamic Caption Generation with styling options Google Drive & Sheets Integration for asset storage and progress tracking ⚙️ How It Works User Submits Form with: Main topic or transcript Desired duration TTS voice Visual style (e.g., Pixar, Lego, Cyberpunk) Image generation provider AI generates a script: A catchy title, description, hook, full script, and CTA using a language model. Text-to-Speech (TTS): The script is turned into audio using the selected voice, with timestamped captions generated. Scene Segmentation: The script is split into 5–6 second segments for visual storyboarding. Image Prompt Creation: Each scene is converted into an image prompt in the selected style (e.g., "anime close-up of a racing car"). Image Generation: Prompts are sent to together.ai or fal.ai to generate scenes. Clip Creation: Each image is turned into a short video clip (Ken Burns-style zoom) based on script timing. Video Assembly: All clips are concatenated into a single video. Captions are overlaid using the earlier timestamps. Final Output is uploaded to Google Drive, Telegram and links are saved in Google Sheets. 🛠 Inital Setup 🗣️ 1. Set Up TTS Voice (Text-to-Speech) Run your TTS server locally using Docker. 🧰 2. Set Up NCA-Toolkit The nca-toolkit appears to be a custom video/image processing backend used via HTTP APIs: http://host.docker.internal:9090/v1/image/transform/video http://host.docker.internal:9090/v1/video/concatenate http://host.docker.internal:9090/v1/ffmpeg/compose 🔧 Steps: Clone or build the nca-toolkit container (if it's a private tool): Ensure it exposes port 9090. It should support endpoints for: Image to video (zoom effect) Video concatenation Audio + video merging Caption overlay via FFmpeg Run it locally with Docker: docker run -d -p 9090:80 your-nca-toolkit-image 🧠 3. Set Up together.ai (Image Generation) (Optional You can use ChatGPT API Instead) This handles image generation using models like FLUX.1-schnell. 🔧 Steps: Create an account at: https://www.together.ai Generate your API key

NGO TPM Request Management System Benefits For Beneficiaries: 24/7 Accessibility** - Submit requests anytime via familiar Telegram interface Language Flexibility** - Communicate in Arabic through text or voice messages Instant Acknowledgment** - Receive immediate confirmation that requests are logged No Technical Barriers** - Works on basic smartphones without special apps For TPM Teams: Centralized Tracking** - All requests automatically logged with timestamps and user details Smart Prioritization** - AI categorizes issues by urgency and type for efficient response Action Guidance** - Specific recommended actions generated for each request type Performance Analytics** - Track response patterns and common issues over time For NGO Operations: Cost Reduction** - Automated intake reduces manual processing overhead Data Quality** - Standardized categorization ensures consistent reporting Audit Trail** - Complete record of all beneficiary interactions for compliance Scalability** - Handle high volumes without proportional staff increases How it Works Multi-Input Reception - Accepts both text messages and voice recordings via Telegram Voice Transcription - Uses OpenAI Whisper to convert Arabic voice messages to text AI Categorization - GPT-4 analyzes requests and categorizes issues (aid distribution, logistics, etc.) Action Planning - AI generates specific recommended actions for TPM team in Arabic Data Logging - Records all requests, categories, and actions in Google Sheets with user details Confirmation Feedback - Sends acknowledgment message back to users via Telegram Set up Steps Setup Time: ~20 minutes Create Telegram Bot - Get bot token from @BotFather and configure webhook Configure APIs - Set up OpenAI (transcription + chat) and Google Sheets credentials Customize AI Prompts - Adjust system messages for your NGO's specific operations Set Up Spreadsheet - Link Google Sheets for request tracking and reporting Test Workflows - Verify both text and voice message processing paths Detailed Arabic language configuration and TPM-specific categorization examples are included as sticky notes within the workflow. What You'll Need: Telegram Bot Token (free from @BotFather) OpenAI API key (Whisper + GPT-4) Google Sheets API credentials Google Spreadsheet for logging requests Sample Arabic text/voice messages for testing Key Features: Dual input support (text + voice messages) Arabic language processing and responses Structured data extraction (category + recommended action) Complete audit trail with user information Real-time confirmation messaging TPM team-specific workflow optimization

Use n8n to bring data from any API to your AI. This workflow uses the Chat Trigger to provide the chat interface, and the Custom n8n Workflow Tool to call a second workflow that calls the API. The second workflow uses AI functionality to refine the API request based on the user's query. It then makes an API call, and returns the response to the main workflow. This workflow is used in Advanced AI examples | Call an API to fetch data in the documentation. To use this workflow: Load it into your n8n instance. Add your credentials as prompted by the notes. Requires n8n 1.28.0 or above

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks regional sentiment across social media and news outlets, giving you a real-time pulse on how people in a specific area feel about your brand or topic. Overview The automation queries Twitter, Reddit, and major news APIs filtered by geolocation. Bright Data handles location-specific scraping where APIs are limited. OpenAI performs sentiment and keyword extraction, aggregating scores into a daily report stored in Google Sheets and visualized in Data Studio. Tools Used n8n** – Coordinates all steps Bright Data** – Collects geo-targeted data beyond API limits OpenAI** – Runs sentiment analysis and topic modeling Google Sheets** – Houses cleaned sentiment metrics Data Studio / Looker** – Optional dashboard for visualization How to Install Import the Workflow into n8n with the provided .json. Configure Bright Data credentials. Set Up OpenAI API key. Connect Google Sheets and create a destination spreadsheet. Customize Regions & Keywords in the Start node. Use Cases Brand Monitoring**: Measure public opinion in target markets. Political Campaigns**: Gauge voter sentiment by district. Market Entry**: Understand regional attitudes before launching. Crisis Management**: Detect negative spikes early. Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #sentimentanalysis #geolocation #brightdata #openai #sociallistening #n8nworkflow #nocode #brandmonitoring

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically scrapes local business directories (Yelp, Yellow Pages, Google Maps, etc.) to build a structured database of prospects. Stop copying listings by hand—get fresh leads delivered straight to Google Sheets. Overview Using Bright Data, the automation fetches business names, contact details, ratings, and categories for a given city or ZIP code. OpenAI cleans and normalizes the data, while duplicate detection ensures each business appears only once. The result is emailed as a CSV and stored in Sheets for easy filtering. Tools Used n8n** – Workflow orchestration Bright Data** – Handles large-scale directory scraping OpenAI** – Performs entity cleanup and deduplication Google Sheets** – Houses the resulting lead list Gmail** – Sends the CSV file to your inbox How to Install Import the Workflow: Load the .json into n8n. Configure Bright Data: Add your credentials. Set Up OpenAI: Enter your API key. Connect Google Sheets & Gmail: Authorize both integrations. Customize Locations & Categories: Adjust parameters in the Start node. Use Cases Local Lead Generation**: Build outreach lists for agencies or SaaS. Market Research**: Analyze density of businesses in a region. Franchise Expansion**: Identify potential partners within a territory. Startup Sales**: Discover SMBs that match your ICP. Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #webscraping #localbusiness #brightdata #leadgeneration #n8nworkflow #nocode #businessdirectories #openai

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically discovers and collects information about events and attendee data from event platforms. It saves you time by eliminating the need to manually browse through event listings and provides a centralized database of event information including categories, venues, and attendee feedback. Overview This workflow automatically scrapes event data from 10times.com and other event platforms to extract categories, featured events, attendee feedback, and venue information. It uses Bright Data to access event websites without being blocked and AI to intelligently parse event data into structured format for storage in Google Sheets. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping event websites without being blocked OpenAI**: AI agent for intelligent event data extraction and parsing Google Sheets**: For storing and organizing event information How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and specify the target spreadsheet Customize: Adjust the event platform URLs and event criteria you want to monitor Use Cases Event Planners**: Monitor competing events and industry trends Marketing Teams**: Identify events for sponsorship and networking opportunities Business Development**: Find relevant events for lead generation and partnerships Market Research**: Track event attendance patterns and industry insights Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #events #eventdiscovery #brightdata #webscraping #eventplanning #eventscraping #attendeedata #eventmarketing #n8nworkflow #workflow #nocode #eventautomation #eventmonitoring #eventresearch #10times #eventintelligence #venuedata #eventfeedback #eventtracking #eventcalendar #eventanalytics #businessevents #eventorganizer #eventtech #eventindustry #eventcollection #networkingevents #conferencedata

This workflow automatically analyzes website conversion funnels to identify optimization opportunities and track user journey performance. It saves you time by eliminating the need to manually analyze funnel metrics and provides detailed insights into conversion bottlenecks and improvement areas. Overview This workflow automatically scrapes website pages to analyze funnel elements including CTAs, tracking scripts, page structure, and conversion paths. It uses Bright Data to access websites without restrictions and AI to intelligently extract funnel data, identify conversion elements, and provide optimization recommendations. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping website pages without being blocked OpenAI**: AI agent for intelligent funnel analysis and optimization insights Google Sheets**: For storing funnel analysis data and recommendations How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your funnel analysis spreadsheet Customize: Define target website URLs and funnel analysis parameters Use Cases Conversion Optimization**: Identify and fix conversion funnel bottlenecks UX Analysis**: Analyze user experience and journey optimization opportunities Competitor Research**: Study competitor funnel strategies and implementations A/B Testing**: Monitor funnel performance changes over time Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #funnelanalysis #conversionoptimization #brightdata #webscraping #uxanalysis #n8nworkflow #workflow #nocode #websiteanalysis #funneloptimization #conversiontracking #userjourney #websiteoptimization #cro #digitalmarketing #funnelalyzer #websiteperformance #conversionanalytics #uxresearch #websitemetrics #funnelmonitoring #performanceanalysis #websiteinsights #conversionfunnel #userexperience #websiteaudit #funneltracking #optimizationanalysis

-- Disclaimer: This workflow uses a community node and therefore only works for self-hosted n8n users -- Transform YouTube videos into comprehensive summaries and structured analysis instantly. This n8n workflow automatically extracts, processes, and analyzes video transcripts to deliver clear, organized insights without watching the entire video. Time-Saving Features 🚀 Instant Processing Simply provide a YouTube URL and receive a structured summary within seconds, eliminating the need to watch lengthy videos. Perfect for research, learning, or content analysis. 🤖 AI-Powered Analysis Leverages GPT-4o-mini to analyze video transcripts, organizing key concepts and insights into a clear, hierarchical structure with main topics and essential points. Smart Processing Pipeline 📝 Automated Transcript Extraction Supports public YouTube video Handles multiple URL formats Extracts complete video transcripts automatically 🧠 Intelligent Content Organization Breaks down content into main topics Highlights key concepts and terminology Maintains technical accuracy while improving clarity Structures information logically with markdown formatting Perfect For 📚 Researchers & Students Quick comprehension of educational content and lectures without watching entire videos. 💼 Business Professionals Efficient analysis of industry talks, presentations, and training materials. 🎯 Content Creators Rapid research and competitive analysis of video content in your niche. Technical Implementation 🔄 Workflow Components Webhook endpoint for URL submission YouTube API integration for video details Transcript extraction system GPT-4 powered analysis engine Telegram notification system (optional) Transform your video content consumption with an intelligent system that delivers structured, comprehensive summaries while saving hours of viewing time.

Workflow: HubSpot Contact Email Validation with Hunter.io Overall Goal This workflow retrieves contacts from HubSpot that have an email address but haven't yet had their email validated by Hunter. It then iterates through each of these contacts, uses Hunter.io to verify their email, updates the contact record in HubSpot with the validation status and date, and finally sends a summary email notification upon completion. How it Works (Step-by-Step Breakdown) Node: "When clicking ‘Test workflow’" (Manual Trigger) Type:** n8n-nodes-base.manualTrigger Purpose:** Start the workflow manually via the n8n interface. Output:** Triggers workflow execution. Node: "HubSpot" (HubSpot) Type:** n8n-nodes-base.hubspot Purpose:** Fetch contacts from HubSpot. Configuration:** Authentication: App Token Operation: Search for contacts Return All: True Filter Groups: Contact HAS_PROPERTY email Contact NOT_HAS_PROPERTY hunter_email_validation_status Output:** List of contact objects. Node: "Loop Over Items" (SplitInBatches) Type:** n8n-nodes-base.splitInBatches Purpose:** Process each contact one-by-one. Configuration:** Options > Reset: false Output:** Output 1 to "Hunter" Output 2 to "Send Email" Node: "Hunter" (Inside the loop) Type:** n8n-nodes-base.hunter Purpose:** Verify email with Hunter.io Configuration:** Operation: Email Verifier Email: {{ $json.properties.email }} Node: "Add Hunter Details (Contact)" (HTTP Request - Inside the loop) Type:** n8n-nodes-base.httpRequest Purpose:** Update HubSpot contact. Configuration:** Method: PATCH URL: https://api.hubapi.com/crm/v3/objects/contacts/{{ $('Loop Over Items').item.json.id }} Headers: Content-Type: application/json Body (JSON): { "properties": { "hunter_email_validation_status": "{{ $json.status }}", "hunter_verification_date": "{{ $now.format('yyyy-MM-dd') }}" } } Node: "Wait" (Inside the loop) Type:** n8n-nodes-base.wait Purpose:** Avoid API rate limits. Configuration:** Wait for 1 second. Node: "Replace Me" (NoOp - Inside the loop) Type:** n8n-nodes-base.noOp Purpose:** Junction node to complete the loop. Node: "Send Email" (After the loop completes) Type:** n8n-nodes-base.emailSend Purpose:** Send summary notification. Configuration:** From Email: test@gmail.com To Email: akhilgadiraju@gmail.com Subject: "Email Verification Completed for Your HubSpot Contacts" HTML: Formatted confirmation message Sticky Notes "HubSpot": Create custom properties (hunter_email_validation_status, hunter_verification_date). "Add Hunter Details": Ensure field names match HubSpot properties. "Wait": Prevent API rate limits. How to Customize It Trigger Replace Manual Trigger with Schedule Trigger (Cron) for automation. Optionally use HubSpot Trigger for new contact events. HubSpot Node Create matching custom properties. Adjust filters and returned properties as needed. Hunter Node Minimal customization needed. HTTP Request Node Update JSON property names if renaming in HubSpot. Customize date format as needed. Wait Node Adjust wait time to balance speed and API safety. Email Node Customize email addresses, subject, and body. Add dynamic contact count with a Set or Function node. Error Handling Add Error Trigger nodes. Use If nodes inside loop to act on certain statuses. Use Cases Clean your email list. Enrich CRM data. Prep verified lists for campaigns. Automate contact hygiene on a schedule. Required Credentials HubSpot App Token Used by: HubSpot node and HTTP Request node Create a Private App in HubSpot with required scopes. Hunter API Used by: Hunter node SMTP Used by: Email Send node Configure host, port, username, and password. Made with ❤️ using n8n by Akhil.

AI-Powered GitHub Commit Reviewer Overview Workflow Name: AI-Powered GitHub Commit Reviewer Author: Akhil Purpose: This n8n workflow triggers on a GitHub push event, fetches commit diffs, formats them into HTML, runs an AI-powered code review using Groq LLM, and sends a detailed review via email. How It Works (Step-by-Step) 1. GitHub Trigger Node Type**: n8n-nodes-base.githubTrigger Purpose**: Initiates the workflow on GitHub push events. Repo**: akhilv77/relevance Output**: JSON with commit and repo details. 2. Parser Node Type**: n8n-nodes-base.set Purpose**: Extracts key info (repo ID, name, commit SHA, file changes). 3. HTTP Request Node Type**: n8n-nodes-base.httpRequest Purpose**: Fetches commit diff details using GitHub API. Auth**: GitHub OAuth2 API. 4. Code (HTML Formatter) Node Type**: n8n-nodes-base.code Purpose**: Formats commit info and diffs into styled HTML. Output**: HTML report of commit details. 5. Groq Chat Model Node Type**: @n8n/n8n-nodes-langchain.lmChatGroq Purpose**: Provides the AI model (llama-3.1-8b-instant). 6. Simple Memory Node Type**: @n8n/n8n-nodes-langchain.memoryBufferWindow Purpose**: Maintains memory context for AI agent. 7. AI Agent Node Type**: @n8n/n8n-nodes-langchain.agent Purpose**: Executes AI-based code review. Prompt**: Reviews for bugs, style, grammar, and security. Outputs styled HTML. 8. Output Parser Node Type**: n8n-nodes-base.code Purpose**: Combines commit HTML with AI review into one HTML block. 9. Gmail Node Type**: n8n-nodes-base.gmail Purpose**: Sends review report via email. Recipient**: akhilgadiraju@gmail.com 10. End Workflow Node Type**: n8n-nodes-base.noOp Purpose**: Marks the end. Customization Tips GitHub Trigger**: Change repo/owner or trigger events. HTTP Request**: Modify endpoint to get specific data. AI Agent**: Update the prompt to focus on different review aspects. Groq Model**: Swap for other supported LLMs if needed. Memory**: Use dynamic session key for per-commit reviews. Email**: Change recipient or email styling. Error Handling Use Error Trigger nodes to handle failures in: GitHub API requests LLM generation Email delivery Use Cases Instant AI-powered feedback on code pushes. Pre-human review suggestions. Security and standards enforcement. Developer onboarding assistance. Required Credentials | Credential | Used By | Notes | |-----------|---------|-------| | GitHub API (ID PSygiwMjdjFDImYb) | GitHub Trigger | PAT with repo and admin:repo_hook | | GitHub OAuth2 API | HTTP Request | OAuth2 token with repo scope | | Groq - Akhil (ID HJl5cdJzjhf727zW) | Groq Chat Model | API Key from GroqCloud | | Gmail OAuth2 - Akhil (ID wqFUFuFpF5eRAp4E) | Gmail | Gmail OAuth2 for sending email | Final Note Made with ❤️ using n8n by Akhil.