by rana tamure
This n8n workflow automates the creation of high-quality, SEO-optimized blog posts using AI. It pulls keyword data from Google Sheets, conducts research via Perplexity AI, generates structured content (title, introduction, key takeaways, body, conclusion, and FAQs) with OpenAI and Anthropic models, assembles the post, performs final edits, converts to HTML, and publishes directly to WordPress. Ideal for content marketers, bloggers, or agencies looking to scale content production while maintaining relevance and engagement. Key Features Keyword-Driven Generation: Fetches primary keywords, search intent, and related terms from a Google Sheets spreadsheet to inform content strategy. AI Research & Structuring: Uses Perplexity for in-depth topic research and OpenAI/Anthropic for semantic analysis, outlines, and full content drafting. Modular Content Creation: Generates sections like introductions, key takeaways, outlines, body, conclusions, and FAQs with tailored prompts for tone, style, and SEO. Assembly & Editing: Combines sections into a cohesive Markdown post, adds internal/external links, and applies final refinements for readability and flow. Publishing Automation: Converts Markdown to styled HTML and posts drafts to WordPress. Customization Points: Easily adjust AI prompts, research depth, or output formats via Code and Set nodes. Requirements Credentials: OpenAI API (for GPT models), Perplexity API (for research), Google Sheets OAuth2 (for keyword input), WordPress API (for publishing). Setup: Configure your Google Sheets with columns like "keyword", "search intent", "related keyword", etc. Ensure the sheet is shared with your Google account. Dependencies: No additional packages needed; relies on n8n's built-in nodes for AI, HTTP, and data processing. How It Works Trigger & Input: Start manually or schedule; pulls keyword data from Google Sheets. Research Phase: Uses Perplexity to gather topic insights and citations from reputable sources. Content Generation: AI nodes create title, structure, intro, takeaways, outline, body, conclusion, and FAQs based on research and SEO guidelines. Assembly & Refinement: Merges sections, embeds links, edits for polish, and converts to HTML. Output: Publishes as a WordPress draft or outputs the final HTML for manual use. Benefits Time Savings: Automate 80-90% of content creation, reducing manual writing from hours to minutes. SEO Optimization: Incorporates primary/related keywords naturally, aligns with search intent, and includes semantic structures for better rankings. Scalability: Process multiple keywords in batches; perfect for content calendars or high-volume blogging. Quality Assurance: Built-in editing ensures engaging, error-free content with real-world examples and data-backed insights. Versatility: Adaptable for any niche (e.g., marketing, tech, finance) by tweaking prompts or sheets. Potential Customizations Add more AI models (e.g., via custom nodes) for varied tones. Integrate image generation or social sharing for full content pipelines. Filter sheets for specific topics or add notifications on completion.
by gotoHuman
Auto-detect news from n8n and turn into a human-approved LinkedIn post. gotoHuman is used to keep a human in the loop. There you can manually edit the AI draft of the post or request to regenerate it. How it works The workflow is triggered each day to fetch the latest version of https://blog.n8n.io. It then fetches each article, checks if it was published in the last 24 hours and uses an LLM to summarize it. An LLM then drafts a related LinkedIn post which is sent to gotoHuman for approval. In gotoHuman, the reviewer can manually edit it or ask to regenerate it with the option to even edit the prompt (Retries loop back to the AI Draft LinkedIn Post node) Approved Posts are automatically published to LinkedIn How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up your credentials for gotoHuman, OpenAI, and LinkedIn In gotoHuman, select and create the pre-built review template "Blog scraper agent" or import the ID: sMxevC9tSAgdfWsr6XIW Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (human supervision) OpenAI (summary, draft) LinkedIn How to customize Change the blog URL to monitor. Adapt to its' HTML structure Provide the AI Draft LinkedIn Post with examples of previous posts so it picks up your writing style (consider adding gotoHuman's dataset of approved examples) Use the workflow to target other publications, like your newsletter, blog or other socials
by Sk developer
π Automated Website Traffic Tracker with Google Sheets Logging Track website traffic and backlinks effortlessly using the Website Traffic Checker - Ahref API. This n8n workflow automates data retrieval and logging into Google Sheets, making it perfect for SEO professionals and digital marketers. π§© What This Workflow Does (Summary) Accepts a domain via a simple web form. Sends the domain to Website Traffic Checker - Ahref API. If successful: Extracts backlink and traffic data. Appends the results to two separate Google Sheets. If failed: Sends an email alert with domain and status code. π§ Node-by-Node Explanation | Node | Purpose | | ---------------------------------- | ---------------------------------------------------------------------------------------------------------------- | | π’ Form Trigger | Starts the workflow when a domain is submitted via form. | | π© Set Domain Value | Stores the submitted domain into a variable. | | π HTTP Request | Calls Website Traffic Checker - Ahref API. | | β IF Node | Checks if the API responded with statusCode = 200. | | β Email Node (Fail) | Sends an alert email if API fails. | | π¦ Code (Backlink Info) | Extracts backlink data from API response. | | π Google Sheet: Backlink Info | Appends backlink data to a sheet. | | π¦ Code (Traffic Info) | Extracts traffic data from API response. | | π Google Sheet: Traffic Data | Appends traffic metrics to another sheet. | π Google Sheet Columns Backlink Info Sheet | Column | Description | | ------------------ | --------------------------- | | website | Domain submitted | | ascore | Authority score | | referring domain | Number of referring domains | | total backlinks | Total backlinks | Traffic Data Sheet | Column | Description | |----------------------|---------------------------------------------| | accuracy | Accuracy level of the traffic data | | bounce_rate | Bounce rate percentage | | desktop_share | Percentage of traffic from desktop devices | | direct | Direct traffic sources | | display_ad | Display ad traffic sources | | display_date | Date when traffic data was captured | | mail | Traffic from email campaigns | | mobile_share | Percentage of traffic from mobile devices | | pages_per_visit | Average number of pages per visit | | paid | Paid traffic sources | | prev_bounce_rate | Bounce rate in the previous period | | prev_direct | Previous period's direct traffic | | prev_display_ad | Previous period's display ad traffic | | prev_mail | Previous period's email traffic | | prev_pages_per_visit | Previous period's pages per visit | | prev_referral | Previous period's referral traffic | | prev_search_organic | Previous organic search traffic | | prev_search_paid | Previous paid search traffic | | prev_social_organic | Previous organic social traffic | | prev_social_paid | Previous paid social traffic | | prev_time_on_site | Previous time spent on site | | prev_users | Number of users in the previous period | | prev_visits | Visits in the previous period | | rank | Global rank of the website | | referral | Referral traffic | | search | Total search traffic | | search_organic | Organic search traffic | | search_paid | Paid search traffic | | social | Total social traffic | | social_organic | Organic social traffic | | social_paid | Paid social traffic | | target | Targeted country or demographic | | time_on_site | Average time spent on site | | unknown_channel | Traffic from unknown sources | | users | Number of unique users | | visits | Total number of visits | π How to Configure π Get API Key Go to Website Traffic Checker - Ahref API on RapidAPI. Sign in or create a free RapidAPI account. Subscribe to the API plan. Copy your x-rapidapi-key from the Endpoints tab. π Add Key in n8n Go to your HTTP Request node. Under Headers, set: x-rapidapi-host = website-traffic-checker-ahref.p.rapidapi.com x-rapidapi-key = your API key π How to Setup Google Sheets in n8n Connect a Google account via Google Sheets credentials in n8n. Use the full Google Sheet URL in the documentId field. Set correct Sheet name or GID (e.g., "Traffic Data"). Use Auto Map or Custom Map to define columns. > Make sure your Google Sheet has edit access and headers already created. π§ Use Case & Benefits π€ Ideal For: SEO analysts Digital marketers Agencies managing multiple clients Web analytics consultants β Benefits: Fully automated data collection. No manual copy-paste** from tools. Real-time insights delivered to Google Sheets. Easy monitoring of backlinks and traffic trends.
by Cheng Siong Chin
How It Works The webhook receives incoming profiles and extracts relevant demographic, financial, and credential data. The workflow then queries the programs database to identify suitable options, while the AI generates personalized recommendations based on eligibility and preferences. A formal recommendation letter is created, followed by a drafted outreach email tailored to coordinators. Parsers extract structured data from the letters and emails, a Slack summary is prepared for internal visibility, and the final response is sent to the appropriate recipients. Setup Steps Configure AI agents by adding OpenAI credentials and setting prompts for the Program Matcher, Letter Writer, and Email Drafter. Connect the programs database (Airtable or PostgreSQL) and configure queries to retrieve matching program data. Set up the webhook by defining the trigger endpoint and payload structure for incoming profiles. Configure JSON parsers to extract relevant information from profiles, letters, and emails. Add the Slack webhook URL and define the summary format for generated communications. Prerequisites OpenAI API key Financial programs database Slack workspace with webhook User profile structure (income, GPA, demographics) Use Cases Universities automating 500+ annual applicant communications Scholarship foundations personalizing outreach at scale Customization Add multilingual support for international applicants Include PDF letter generation with signatures Benefits Reduces communication time from 30 to 2 minutes per applicant, ensures consistent professional quality
by Connor Provines
[Meta] Multi-Format Documentation Generator for N8N Creators (+More) One-Line Description Transform n8n workflow JSON into five ready-to-publish documentation formats including technical guides, social posts, and marketplace submissions. Detailed Description What it does: This workflow takes an exported n8n workflow JSON file and automatically generates a complete documentation package with five distinct formats: technical implementation guide, LinkedIn post, Discord community snippet, detailed use case narrative, and n8n Creator Commons submission documentation. All outputs are compiled into a single Google Doc for easy access and distribution. Who it's for: n8n creators** preparing workflows for the template library or community sharing Automation consultants** documenting client solutions across multiple channels Developer advocates** creating content about automation workflows for different audiences Teams** standardizing workflow documentation for internal knowledge bases Key Features: Parallel AI generation** - Creates all five documentation formats simultaneously using Claude, saving 2+ hours of manual writing Automatic format optimization** - Each output follows platform-specific best practices (LinkedIn character limits, Discord casual tone, n8n marketplace guidelines) Single Google Doc compilation** - All documentation consolidated with clear section separators and automatic workflow name detection JSON upload interface** - Simple form-based trigger accepts workflow exports without technical setup Smart content adaptation** - Same workflow data transformed into technical depth for developers, engaging narratives for social media, and searchable descriptions for marketplaces Ready-to-publish outputs** - No editing requiredβeach format follows platform submission guidelines and style requirements How it works: User uploads exported n8n workflow JSON through a web form interface Five AI agents process the workflow data in parallel, each generating format-specific documentation (technical guide, LinkedIn post, Discord snippet, use case story, marketplace listing) All outputs merge into a formatted document with section headers and separators Google Docs creates a new document with auto-generated title from workflow name and timestamp Final document populates with all five documentation formats, ready for copying to respective platforms Setup Requirements Prerequisites: Anthropic API** (Claude AI) - Powers all documentation generation; requires paid API access or credits Google Docs API** - Creates and updates documentation; free with Google Workspace account n8n instance** - Cloud or self-hosted with AI agent node support (v1.0+) Estimated Setup Time: 20-25 minutes (15 minutes for API credentials, 5-10 minutes for testing with sample workflow) Installation Notes API costs**: Each workflow documentation run uses ~15,000-20,000 tokens across five parallel AI calls (approximately $0.30-0.50 per generation at current Claude pricing) Google Docs folder**: Update the folderId parameter in the "Create a document" node to your target folderβdefault points to a specific folder that won't exist in your Drive Testing tip**: Use a simple 3-5 node workflow for your first test to verify all AI agents complete successfully before processing complex workflows Wait node purpose**: The 5-second wait between document creation and content update prevents Google Docs API race conditionsβdon't remove this step Form URL**: After activation, save the form trigger URL for easy accessβbookmark it or share with team members who need to generate documentation Customization Options Swappable integrations: Replace Google Docs with Notion, Confluence, or file system storage by swapping final nodes Switch from Claude to GPT-4, Gemini, or other LLMs by changing the language model node (may require prompt adjustments) Add Slack/email notification nodes after completion to alert when documentation is ready Adjustable parameters: Modify AI prompts in each agent node to match your documentation style preferences or add company-specific guidelines Add/remove documentation formats by duplicating or deleting agent nodes and updating merge configuration Change document formatting in the JavaScript code node (section separators, headers, metadata) Extension possibilities: Add automatic posting to LinkedIn/Discord by connecting their APIs after doc generation Create version history tracking by appending to existing docs instead of creating new ones Build approval workflow by adding human-in-the-loop steps before final document creation Generate visual diagrams by adding Mermaid chart generation from workflow structure Create multi-language versions by adding translation nodes after English generation Category Development Tags documentation n8n content-generation ai claude google-docs workflow automation-publishing Use Case Examples Marketplace contributors**: Generate complete n8n template submission packages in minutes instead of hours of manual documentation writing across multiple format requirements Agency documentation**: Automation consultancies can deliver client workflows with professional documentation suiteβtechnical guides for client IT teams, social posts for client marketing, and narrative case studies for portfolio Internal knowledge base**: Development teams standardize workflow documentation across projects, ensuring every automation has consistent technical details, use case examples, and setup instructions for team onboarding
by Linearloop Team
π₯οΈ Automated Website Uptime Monitor with Email Alerts & GitHub Status Page Update This n8n workflow continuously monitors your websiteβs availability, sends email alerts when the server goes down, and automatically updates a status page (index.html) in your GitHub repository to reflect the live status. π Good to Know The workflow checks your website every 2 minutes (interval configurable). If the website is down (503, bad response, or error) β it sends an email alert and updates the GitHub-hosted status page to show Down. If the website is up (200) β it updates the GitHub-hosted status page to show Up. The email notification includes an HTML-formatted alert page. You can use GitHub Pages to host the status page publicly. βΉοΈ What is GitHub Pages? GitHub Pages is a free hosting service provided by GitHub that lets you publish static websites (HTML, CSS, JS) directly from a GitHub repository. You can use it to make your index.html status page publicly accessible with a URL like: β‘ How to Set Up GitHub Pages for Your Status Page Create a new repository on GitHub (recommended name: status). Add a blank index.html file (n8n workflow will later update this file). Go to your repository β Settings β Pages. Under Source, select the branch (main or master) and folder (/root). Save changes. Your status page will now be live at: https://<USERNAME>.github.io/status β Prerequisites An n8n instance (self-hosted or cloud). A GitHub account & repository (to host the status page). A Gmail account (or any email service supported by n8n β example uses Gmail). Access to the target website URL you want to monitor. βοΈ How it Works Schedule Trigger β Runs every 2 minutes. HTTP Request β Pings your website URL. Switch Node β Evaluates the response status (200 OK vs error/503). Code Node β Generates a dynamic HTML status page (Up/Down). GitHub Repo & File β Github Repo Name Should be https://github.com/<OWNER_NAME>/status (recommended) & Must have(required) a blank file named as index.html before triggering this flow. GitHub Node β Updates/commits the index.html file in your repository. Gmail Node β Sends an email alert if the site is down. π How to Use Import the workflow JSON into your n8n instance. Configure credentials for: GitHub (Personal Access Token with repo permissions). Gmail (or your preferred email service). Replace the following: https://app.yourdomain.com/health β with your own website URL. example@gmail.com β with your email address (or distribution list). GitHub repo details β with your repository where index.html will live. Deploy the workflow. (Optional) Enable GitHub Pages on your repo to serve index.html as a live status page. π Requirements n8n v1.0+ GitHub personal access token Gmail API credentials (or SMTP/email service of your choice) π¨ Customising this Workflow Interval** β Change schedule from 2 minutes to any desired frequency. Email Content** β Modify HTML alert template in the Gmail node. Status Page Styling** β Edit the HTML/CSS in the Code node to match your branding. Error Handling** β Extend Switch node for other status codes (e.g., 404, 500). Multiple Websites** β Duplicate HTTP Request + Switch nodes for multiple URLs. π€ Who Can Use It? DevOps & SRE Engineers** β For automated uptime monitoring. Freelancers/Developers** β To monitor client websites. Startups & SMEs** β For a free, lightweight status page without paid tools. Educators/Students** β As a hands-on learning project with n8n. π Key Features π Automated uptime checks (configurable interval). π§ Email notifications on downtime. π Dynamic HTML status page generation. π GitHub Pages integration for public visibility. β‘ Lightweight & cost-effective (no paid monitoring tool needed). π Tools Integration n8n** β Orchestration & automation. GitHub** β Version control + hosting of status page. Gmail** β Email notifications. HTTP Request** β Website availability check. π Example Use Cases Personal website monitoring with public status page. Monitoring SaaS apps & notifying support teams. Internal company services uptime dashboard.
by Jitesh Dugar
Eliminate weeks of waiting and mountains of paperwork with intelligent expense automation that processes reimbursements in 72 hours instead of 2β3 weeks β delivering 90% reduction in manual processing time. What This Workflow Does Transforms your expense reimbursement process from bureaucratic nightmare to seamless automation: π Captures Expenses β Jotform intake with receipt upload and expense details βοΈ Policy Validation β Automatically validates against company rules (categories, amount limits) π¦ Smart Routing β Intelligent approval workflow based on expense amount: < $100 β Auto-approve instantly (compliant expenses only) $100β$500 β Manager approval via Slack notification $500+ β Finance Director approval via Slack notification π« Violation Detection β Flags policy violations with clear rejection reasons π Audit Trail β Complete expense history logged to Google Sheets βοΈ Automated Communication β Professional approval/rejection emails automatically sent Key Features Policy Compliance Engine β Configurable rules for expense categories and amount limits Three-Tier Approval System β Auto-approve, manager review, and director approval paths Real-Time Violation Flagging β Instant detection of non-compliant expenses Comprehensive Audit Logging β Every expense tracked with timestamps and approver details Professional Email Templates β Branded communication for every outcome Slack Integration β Real-time notifications with expense context for quick decisions Zero Manual Processing β Seamless automation from submission to reimbursement Perfect For Finance Teams β Processing 50β200+ expense reports monthly Growing Startups β Scaling operations without adding finance headcount Remote-First Companies β Distributed teams needing async approval workflows Compliance-Focused Organizations β Requiring complete audit trails and policy enforcement SMBs & Enterprises β Companies spending 10β20 hours/week on manual expense processing What Youβll Need Required Integrations Jotform β Expense submission form (free tier works) Create your form for free on Jotform using this link Google Sheets β Audit trail and expense database Gmail β Automated approval/rejection email communication Slack β Manager and Director approval notifications Optional Enhancements QuickBooks/Xero β Automatic expense posting for approved items Google Cloud Vision β OCR for automatic receipt data extraction OpenAI β AI-powered receipt parsing and merchant detection Payment APIs β Direct deposit or check issuance automation Quick Start Import Template β Copy JSON and import into n8n Create Jotform β Build form with fields: Employee name, email, ID, amount, category, merchant, date, description, receipt upload Add Credentials β Jotform, Google Sheets, Gmail, Slack Configure Google Sheet β Replace YOUR_GOOGLE_SHEET_ID with your spreadsheet ID Set Slack Channels β Update manager and director channel IDs in Slack nodes Customize Policies β Edit βValidate Policyβ node with your companyβs rules: Category limits (meals: $75, travel: $500, office supplies: $200, etc.) Auto-approve threshold (default: $100) Manager approval threshold (default: $500) Test Workflow β Submit test expenses for all scenarios (auto-approve, manager, director, rejection) Deploy & Share β Activate workflow and distribute Jotform link to employees Customization Options 1.Adjust Approval Thresholds β Modify auto-approve limits and escalation amounts 2.Add Approval Levels β Insert additional routing nodes for VP or C-suite approvals 3.Department-Based Routing β Route to different managers based on department 4.Receipt OCR Integration β Add Google Vision + OpenAI for receipt data extraction 5.Accounting System Sync β Connect QuickBooks/Xero for automatic expense posting 6.Duplicate Detection β Flag potential duplicate submissions 7.Budget Monitoring β Add monthly/quarterly budget checks 8.Multi-Currency Support β Add conversion & validation for international expenses 9.Mobile-Optimized Forms β Enhance Jotform for easy phone camera uploads 10.Custom Email Branding β Update templates with your companyβs logo and styling Expected Results β±οΈ 72-hour reimbursement vs 2β3 weeks π 90% reduction in manual processing time π§Ύ 100% audit compliance with timestamps & approvers ποΈ Zero lost receipts β all stored digitally π§ Instant policy enforcement β violations caught automatically π Happier employees β fast and transparent reimbursement π 10β15 hours saved weekly for finance teams π Use Cases π§βπ» Technology Companies Process developer or engineering expenses (software, conferences) with auto-approval under $100. πΌ Sales Organizations Handle high-volume travel expenses β auto-approve meals under $75, route hotels/flights for approval, flag entertainment violations. π§Ύ Consulting Firms Manage client reimbursables with project-based routing and full audit trails for client invoicing. π₯ Healthcare Organizations Track medical reimbursements with department-specific approvals and compliance documentation. π Remote-First Teams Process global expenses 24/7 with async Slack approvals and instant notifications. Pro Tips Start Conservative β Begin with $50 auto-approve limit, raise later Monthly Policy Reviews β Adjust limits based on expense trends Employee Training β Include policy link in all automated emails Enhanced Slack Approvals β Use Block Kit for approve/reject buttons Receipt Quality Standards β Enforce minimum image resolution Backup Approvers β Add fallback if manager unavailable Executive Dashboard β Connect Sheets β Looker/Tableau Tax Categorization β Align with tax reporting for year-end Benchmark Data β Track average processing time & approval rates Learning Resources This workflow demonstrates: Multi-condition routing with nested IF nodes Policy enforcement using JavaScript logic Audit logging with Google Sheets append/update Async Slack approvals with messaging nodes Email automation using dynamic HTML templates Data normalization for varied Jotform inputs Error handling for invalid submissions Perfect for learning enterprise-grade n8n automation patterns π― Workflow Structure Visualization π Jotform Submission β π§Ύ Parse Form Data (Normalize fields) β βοΈ Validate Against Policy (Check rules) β π« Check Violations? ββ YES β Set Rejection β Log to Sheets β π§ Send Rejection Email ββ NO β Route Auto-Approve? ββ YES (< $100) β β Auto Approve β Log to Sheets β π§ Send Approval Email ββ NO β Route Manager? ββ YES ($100-$500) β π± Slack Manager β Log to Sheets β β³ Await Approval ββ NO ($500+) β π± Slack Director β Log to Sheets β β³ Await Approval Compliance & Security Features π§Ύ Complete Audit Trail β Every expense logged with timestamps π‘οΈ Policy Enforcement β Non-compliant submissions blocked early π Data Privacy β PII secured via n8n credential system βοΈ Receipt Storage β SOC 2βcompliant Jotform cloud π₯ Role-Based Access β Slack channel permissions enforced βοΈ Separation of Duties β Multi-level approval reduces fraud π Advanced Features to Add π§ Receipt OCR with AI β Google Vision + OpenAI for merchant/amount extraction π΅ Accounting Integration β QuickBooks/Xero for GL posting π¦ Payment Automation β ACH/direct deposit API integration π± Mobile App Interface β On-the-go submissions π Budget Monitoring β Real-time spending alerts π Expense Analytics β Automated monthly summaries π§Ύ Vendor Management β Flag new vendors for approval π Mileage Calculator β IRS-compliant reimbursement π³ Corporate Card Sync β Match credit card transactions π Per Diem Automation β Geo-based per diem calculation Ready to Transform Your Expense Process? Import this template and start processing reimbursements in hours instead of weeks. Your finance team and employees will thank you! π Questions or customization needs? The workflow includes detailed sticky notes explaining each section and decision point.
by Rahul Joshi
Description: Streamline your lead management process with this AI-driven n8n automation template. The workflow fetches opportunities from HighLevel (GHL), enriches them with contact details, and uses Azure OpenAI GPT-4o-mini to analyze each leadβs intent (e.g., Demo Request, Support Query, or Partnership Inquiry). It then automatically routes the lead to the right internal team via email, ensuring instant follow-up and zero delays in response time. Perfect for sales, support, and partnership teams who want to save time on manual triage and ensure every inquiry reaches the correct department within seconds. β What This Template Does (Step-by-Step) β‘ Manual or Scheduled Trigger Run the workflow manually for on-demand classification or schedule it to execute periodically. π₯ Fetch Opportunities from HighLevel Retrieves all opportunities from your GHL CRM, serving as the starting dataset for AI-powered intent detection. π€ Fetch Detailed Contact Information Enriches each opportunity with full contact details such as name, email, and message notes. π§ AI-Powered Lead Classification Uses Azure OpenAI GPT-4o-mini via the LangChain AI Agent to analyze the leadβs message and determine the intent. Possible outputs include: π― Demo Request π οΈ Support Query π€ Partnership Inquiry π§Ύ Post-Processing of AI Response JavaScript logic parses and formats the AIβs output into actionable data for conditional routing. π Intelligent Routing to Relevant Teams Demo Requests β demo@company.com Support Queries β support@company.com Partnership Inquiries β partnership@company.com Each email includes full contact info and original message context. π§ Instant Team Notifications Sends neatly formatted emails from a centralized sender (noreply@company.com) to ensure smooth handoff and accountability. π§ Key Features π€ AI intent classification using Azure OpenAI GPT-4o-mini π Automated lead routing via email π Structured data enrichment from HighLevel βοΈ Smart conditional logic for 3 lead categories π© End-to-end automation from CRM intake to response πΌ Use Cases π Automatically route demo requests to the sales team π οΈ Send support-related queries directly to helpdesk π€ Forward partnership inquiries to business development π‘ Reduce response delays and manual triage errors π¦ Required Integrations HighLevel (GHL) β for opportunity and contact data Azure OpenAI β for AI-driven lead classification SMTP / Gmail β for team routing email notifications π― Why Use This Template? β Automates manual lead sorting and tagging β Ensures every inquiry reaches the right team β Increases response speed and lead conversion β Scalable AI logic adaptable to any organization
by Jitesh Dugar
1. Who's It For Ad agencies needing automated lead capture. Sales teams fighting fraud and scoring leads. B2B SaaS companies nurturing prospects. Marketing pros boosting sales pipelines. 2. How It Works Captures leads via Webhook from forms. Validates emails with Verifi Email node. Checks IP for fraud using IP Lookup. Scores leads (0-100) with Function node. Logs data in Google Sheets. Alerts sales via Slack for high scores. Sends welcome email via Gmail. Tracks email opens for engagement. Follows up after 24 hours if unopened. Updates engagement scores. Generates weekly report (leads, scores, avg.). Emails report to sales head. Offers: fraud-proofing, AI scoring, nurturing, reporting. 3. How to Set Up 1.* Link form to *Webhook** (POST to https://[your-n8n-url]/webhook/lead-capture). 2.* Install *Verifi Email** node (npm install n8n-nodes-verifiemail) on self-hosted n8n. 3.* Add credentials: *Verifi Email, **Slack, Gmail, Google Sheets. 4.* Set up *Set User Config** (e.g., score, channel, email). 5.* Adjust *Weekly Report** cron (default: Mondays 00:00 IST). 6.** Test with sample data (e.g., {"email": "test@example.com", "ip": "8.8.8.8"}). Requirements Self-hosted n8n (for Verifi Email). Credentials: Verifi Email key, Slack token, Gmail, Google Sheets. Node.js* and *npm** for installation. Form to send data to Webhook. Core Features Fraud Detection**: Email and IP validation. Lead Scoring**: AI-driven quality assessment. Automated Nurturing**: Personalized emails. Real-Time Alerts**: Slack notifications. Weekly Reporting**: Performance insights. Use Cases & Applications Sales Teams**: Streamline lead follow-ups. Marketing**: Enhance campaign tracking. B2B SaaS**: Automate prospect nurturing. Agencies**: Deliver client-ready reports. Key Benefits Efficiency**: Automates manual tasks. Accuracy**: Reduces fraud with validation. Scalability**: Handles multiple leads. Insight**: Weekly performance data. Customization Options Adjust scoring in Function node. Edit email templates in Gmail. Add attachments via File node. Change cron schedule. Integrate CRM with HTTP Request. Important Disclaimers For educational use only. Validate with your risk tolerance. Seek professional advice before use. Account for market volatility.
by Jitesh Dugar
1. Who's It For Conference organizers managing 500+ attendee tech/business events. Trade show managers needing networking automation. Professional associations running industry gatherings. Startup/investor event planners for demo days and mixers. Corporate event teams organizing all-hands and offsites. Continuing education coordinators for professional development. 2. How It Works Captures registrations via Webhook/Jotform from event forms. Extracts attendee data (name, email, company, goals, interests). Profiles attendees with AI Agent (GPT-4o) for persona classification. Scores engagement, influence, connection value (0-100 each). Identifies networking objectives and ideal connections. Recommends personalized sessions with relevance scoring. Generates 5 conversation starters per attendee. Routes by type: VIP/Speaker/Sponsor β Team alert + VIP email. First-timers get buddy assignment and orientation guide. Standard attendees receive personalized confirmation. Logs all data to Google Sheets with scores and personas. Tracks: registration ID, persona, scores, goals, dietary needs. Offers: AI profiling, smart routing, personalized emails, analytics. 3. How to Set Up 1. Create registration form with required fields (name, email, company, title, goals, interests). 2. Import workflow JSON to n8n via Workflows β Import. 3. Add credentials: OpenAI API, Gmail OAuth2, Google Sheets. 4. Configure Webhook Trigger or Jotform Trigger node. 5. Copy webhook URL and add to form platform (POST method). 6. Customize AI Agent prompt with your event details (name, dates, sessions). 7. Update email templates with branding and event information. 8. Create Google Sheet with columns: registration_id, attendee_name, email, company, persona, scores. 9. Set team alert email in "Alert Event Team (VIP)" node. 10. Test with sample registration to verify flow. 11. Activate workflow and monitor executions. Requirements n8n instance (cloud or self-hosted). Credentials: OpenAI API key, Gmail OAuth2, Google Sheets access. Event registration form (Jotform, Typeform, Google Forms, etc.). Google Sheet for attendee database. Email account for sending confirmations and alerts. Core Features AI Persona Classification: Founder, investor, executive, tech professional, vendor, consultant, job seeker, student. Multi-Dimensional Scoring: Engagement (0-100), influence (0-100), connection value (0-100), openness (0-100). Intelligent Session Matching: AI-powered recommendations with relevance scores and reasoning. Smart Routing: Personalized experience by attendee type (VIP/First-Timer/Standard). Conversation Starters: 5 personalized ice-breakers per attendee. Automated Alerts: Email notifications to event team for VIP registrations. Database Logging: Complete attendee profiles stored in Google Sheets. Welcome Automation: Personalized emails with event details and tips. Use Cases & Applications Tech Conferences: Automate 500+ attendee profiling and networking. Trade Shows: Match exhibitors with qualified prospects. Professional Events: Connect members based on complementary goals. Investor Meetups: Pair founders with relevant investors. Corporate Events: Facilitate internal networking and team building. Hybrid Events: Personalize experience for in-person and virtual attendees. Key Benefits Efficiency: 80% reduction in manual registration processing. Personalization: 100% customized experience at scale. Networking ROI: 3x more meaningful connections vs random networking. Attendee Satisfaction: 90% satisfaction with personalized agendas. Real-Time Insights: Instant attendee intelligence for on-site adjustments. Revenue Impact: Higher ticket sales, sponsor retention, lower refunds. Scalability: Handles unlimited registrations with consistent quality. Data-Driven: Measurable networking outcomes and ROI tracking. Customization Options Adjust AI scoring criteria in AI Agent prompt. Edit email templates with your branding and messaging. Add custom attendee fields (company size, budget, timeline). Modify persona classifications for your industry. Change routing logic for different attendee segments. Integrate CRM via HTTP Request node (HubSpot, Salesforce). Add post-event follow-up sequences. Build networking matchmaking based on compatibility scores. Create custom reports with additional metrics. Add SMS notifications via Twilio integration. Important Disclaimers Test thoroughly with sample data before live event use. Verify AI profiling accuracy aligns with your event needs. Ensure GDPR/CCPA compliance with registration forms (add consent checkboxes). Monitor OpenAI API costs based on registration volume (~$0.10-0.15 per attendee). Protect attendee privacy - use secure credentials and access controls. Review and moderate AI-generated content for appropriateness. Backup attendee data regularly from Google Sheets. Set up error notifications to catch workflow failures. Customize for your specific event context - template provides foundation only.
by Jitesh Dugar
Tired of juggling maintenance calls, lost requests, and slow vendor responses? This workflow streamlines the entire property maintenance process β from tenant request to vendor dispatch β powered by AI categorization and automated communication. Cut resolution time from 5β7 days to under 24 hours and boost tenant satisfaction by 85% with zero manual follow-up. What This Workflow Does Transforms chaotic maintenance management into seamless automation: π Captures Requests β Tenants submit issues via JotForm with unit number, issue description, urgency, and photos. π€ AI Categorization β OpenAI (GPT-4o-mini) analyzes and classifies issues (plumbing, HVAC, electrical, etc.). βοΈ Smart Prioritization β Flags emergencies (leak, electrical failure) and assigns priority. π¬ Vendor Routing β Routes issue to the correct contractor or vendor based on AI category. π§ Automated Communication β Sends acknowledgment to tenant and work order to vendor via Gmail. π Audit Trail Logging β Optionally logs requests in Google Sheets for performance tracking and reporting. Key Features π§ AI-Powered Categorization β Intelligent issue type and priority detection. π¨ Emergency Routing β Automatically escalates critical issues. π€ Automated Work Orders β Sends detailed emails with property and tenant info. π Google Sheets Logging β Transparent audit trail for compliance and analytics. π End-to-End Automation β From form submission to vendor dispatch in seconds. π¬ Sticky Notes Included β Every section annotated for easy understanding. Perfect For Property management companies Real estate agencies and facility teams Smart building operators Co-living and rental startups Maintenance coordinators managing 50β200+ requests monthly What Youβll Need Required Integrations: JotForm β Maintenance request form Create your form for free on JotForm using this link OpenAI (GPT-4o-mini) β Categorization and prioritization Gmail β Automated email notifications (Optional) Google Sheets β Logging and performance tracking Quick Start Import Template β Copy JSON into n8n and import. Create JotForm β Include fields: Tenant name, email, unit number, issue description, urgency, photo upload. Add Credentials β Configure JotForm, Gmail, and OpenAI credentials. Set Vendor Emails β Update βSend to Contractorβ Gmail node with vendor email IDs. Test Workflow β Submit sample maintenance requests for AI categorization and routing. Activate Workflow β Go live and let your tenants submit maintenance issues. Expected Results β±οΈ 24-hour average resolution time (vs 5β7 days). π 85% higher tenant satisfaction with instant communication. π Zero lost requests β every issue logged automatically. π§ AI-driven prioritization ensures critical issues handled first. π 10+ hours saved weekly for property managers. Pro Tips π§Ύ Add Google Sheets logging for a complete audit trail. π Include keywords like βleak,β βno power,β or βurgentβ in AI prompts for faster emergency detection. π§° Expand vendor list dynamically using a Google Sheet lookup. π§βπ§ Add follow-up automation to verify task completion from vendors. π Create dashboards for monthly maintenance insights. Learning Resources This workflow demonstrates: AI categorization using OpenAIβs Chat Model (GPT-4o-mini) Multi-path routing logic (emergency vs. normal) Automated communication via Gmail Optional data logging in Google Sheets Annotated workflow with Sticky Notes for learning clarity
by Khairul Muhtadin
This Workflow auto-ingests Google Drive documents, parses them with LlamaIndex, and stores Azure OpenAI embeddings in an in-memory vector storeβcutting manual update time from ~30 minutes to under 2 minutes per doc. Why Use This Workflow? Cost Reduction: Eliminates pays monthly fee on cloud just for store knowledge Ideal For Knowledge Managers / Documentation Teams:** Automatically keep product docs and SOPs in sync when source files change on Google Drive. Support Teams:** Ensure the searchable KB is always up-to-date after doc edits, speeding agent onboarding and resolution time. Developer / AI Teams:** Populate an in-memory vector store for experiments, rapid prototyping, or local RAG demos. How It Works Trigger: Google Drive Trigger watches a specific document or folder for updates. Data Collection: The updated file is downloaded from Google Drive. Processing: The file is uploaded to LlamaIndex cloud via an HTTP Request to create a parsing job. Intelligence Layer: Workflow polls LlamaIndex job status (Wait + Monitor loop). If parsing status equals SUCCESS, the result is retrieved as markdown. Output & Delivery: Parsed markdown is loaded into LangChain's Default Data Loader, passed to Azure OpenAI embeddings (deployment "3small"), then inserted into an in-memory vector store. Storage & Logging: Vector store holds embeddings in memory (good for prototyping). Optionally persist to an external vector DB for production. Setup Guide Prerequisites | Requirement | Type | Purpose | |-------------|------|---------| | n8n instance | Essential | Execute and import the workflow β use the n8n instance | | Google Drive OAuth2 | Essential | Watch and download documents from Google Drive | | LlamaIndex Cloud API | Essential | Parse and convert documents to structured markdown | | Azure OpenAI Account | Essential | Generate embeddings (deployment configured to model name "3small") | | Persistent Vector DB (e.g., Pinecone) | Optional | Persist embeddings for production-scale search | Installation Steps Import the workflow JSON into your n8n instance: open your n8n instance and import the file. Configure credentials: Azure OpenAI: Provide Endpoint, API Key and set deployment name. LlamaIndex API: Create an HTTP Header Auth credential in n8n. Header Name: Authorization. Header Value: Bearer YOUR_API_KEY. Google Drive OAuth2: Create OAuth 2.0 credentials in Google Cloud Console, enable Drive API, and configure the Google Drive OAuth2 credential in n8n. Update environment-specific values: Replace the workflow's Google Drive fileId with the GUID or folder ID you want to watch (do not commit public IDs). Customize settings: Polling interval (Wait node): adjust for faster or slower job status checks. Target file or folder: toggled on the Google Drive Trigger node. Embedding model: change Azure OpenAI deployment if needed. Test execution: Save changes and trigger a sample file update on Drive. Verify each node runs and the vector store receives embeddings. Technical Details Core Nodes | Node | Purpose | Key Configuration | |------|---------|-------------------| | Knowledge Base Updated Trigger (Google Drive Trigger) | Triggers on file/folder changes | Set trigger type to specific file or folder; configure OAuth2 credential | | Download Knowledge Document (Google Drive) | Downloads file binary | Operation: download; ensure OAuth2 credential is selected | | Parse Document via LlamaIndex (HTTP Request) | Uploads file to LlamaIndex parsing endpoint | POST multipart/form-data to /parsing/upload; use HTTP Header Auth credential | | Monitor Document Processing (HTTP Request) | Polls parsing job status | GET /parsing/job/{{jobId}}; check status field | | Check Parsing Completion (If) | Branches on job status | Condition: {{$json.status}} equals SUCCESS | | Retrieve Parsed Content (HTTP Request) | Fetches parsed markdown result | GET /parsing/job/{{jobId}}/result/markdown | | Default Data Loader (LangChain) | Loads parsed markdown into document format | Use as document source for embeddings | | Embeddings Azure OpenAI | Generates embeddings for documents | Credentials: Azure OpenAI; Model/Deployment: 3small | | Insert Data to Store (vectorStoreInMemory) | Stores documents + embeddings | Use memory store for prototyping; switch to DB for persistence | Workflow Logic On Drive change, the file binary is downloaded and sent to LlamaIndex. Workflow enters a monitor loop: Monitor Document Processing fetches job status, If node checks status. If not SUCCESS, Wait node delays before re-check. When parsing completes, the workflow retrieves markdown, loads documents, creates embeddings via Azure OpenAI, and inserts data into an in-memory vector store. Customization Options Basic Adjustments: Poll Delay: Set Wait node (default: every minute) to balance speed vs. API quota. Target Scope: Switch the trigger from a single file to a folder to auto-handle many docs. Embedding Model: Swap Azure deployment for a different model name as needed. Advanced Enhancements: Persistent Vector DB Integration: Replace vectorStoreInMemory with Pinecone or Milvus for production search. Notification: Add Slack or email nodes to notify when parsing completes or fails. Summarization: Add an LLM summarization step to generate chunk-level summaries. Scaling option: Batch uploads and chunking to reduce embedding calls; use a queue (Redis or n8n queue patterns) and horizontal workers for high throughput. Performance & Optimization | Metric | Expected Performance | Optimization Tips | |--------|----------------------|-------------------| | Execution time (per doc) | ~10sβ2min (depends on file size & LlamaIndex processing) | Chunk large docs; run embeddings in batches | | API calls (per doc) | 3β8 (upload, poll(s), retrieve, embedding calls) | Increase poll interval; consolidate requests | | Error handling | Retries via Wait loop and If checks | Add exponential backoff, failure notifications, and retry limits | Troubleshooting | Problem | Cause | Solution | |---------|-------|----------| | Authentication errors | Invalid/missing credentials | Reconfigure n8n Credentials; do not paste API keys directly into nodes | | File not found | Incorrect fileId or permissions | Verify Drive fileId and OAuth scopes; share file with the service account if needed | | Parsing stuck in PENDING | LlamaIndex processing delay or rate limit | Increase Wait node interval, monitor LlamaIndex dashboard, add retry limits | | Embedding failures | Model/deployment mismatch or quota limits | Confirm Azure deployment name (3small) and subscription quotas | Created by: khmuhtadin Category: Knowledge Management Tags: google-drive, llamaindex, azure-openai, embeddings, knowledge-base, vector-store Need custom workflows? 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