by Jitesh Dugar
Verified User Profile Creation - Automated Email Validation & PDF Generation Overview This comprehensive automation workflow streamlines the user onboarding process by validating email addresses, generating professional profile PDFs, and delivering them seamlessly to verified users. 🎯 What This Workflow Does: Receives User Data - Webhook trigger accepts user signup information (name, email, city, profession, bio) Validates Email Addresses - Uses VerifiEmail API to ensure only legitimate email addresses proceed Conditional Branching - Smart logic splits workflow based on email verification results Generates HTML Profile - Creates beautifully styled HTML templates with user information Converts to PDF - Transforms HTML into professional, downloadable PDF documents Email Delivery - Sends personalized welcome emails with PDF attachments to verified users Data Logging - Records all verified users in Google Sheets for analytics and tracking Rejection Handling - Notifies users with invalid emails and provides guidance ✨ Key Features: ✅ Email Verification - Prevents fake registrations and maintains data quality 📄 Professional PDF Generation - Beautiful, branded profile documents 📧 Automated Email Delivery - Personalized welcome messages with attachments 📊 Google Sheets Logging - Complete audit trail of all verified users 🔀 Smart Branching - Separate paths for valid and invalid emails 🎨 Modern Design - Clean, responsive HTML/CSS templates 🔒 Secure Webhook - POST endpoint for seamless form integration 🎯 Perfect Use Cases: User registration systems Community membership verification Professional certification programs Event registration with verified attendees Customer onboarding processes Newsletter signup verification Educational platform enrollments Membership card generation 📦 What's Included: Complete workflow with 12 informative sticky notes Pre-configured webhook endpoint Email verification integration PDF generation setup Gmail sending configuration Google Sheets logging Error handling guidelines Rejection email template 🛠️ Required Integrations: VerifiEmail - For email validation (https://verifi.email) HTMLcsstoPDF - For PDF generation (https://htmlcsstopdf.com) Gmail OAuth2 - For email delivery Google Sheets OAuth2 - For data logging ⚡ Quick Setup Time: 15-20 minutes 🎓 Skill Level: Beginner to Intermediate Benefits: ✅ Reduces manual verification work by 100% ✅ Prevents spam and fake registrations ✅ Delivers professional branded documents automatically ✅ Maintains complete audit trail ✅ Scales effortlessly with user growth ✅ Provides excellent user experience ✅ Easy integration with any form or application Technical Details: Trigger Type:** Webhook (POST) Total Nodes:** 11 (including 12 documentation sticky notes) Execution Time:** ~3-5 seconds per user API Calls:** 3 external (VerifiEmail, HTMLcsstoPDF, Google Sheets) Email Format:** HTML with binary PDF attachment Data Storage:** Google Sheets (optional) License: MIT (Free to use and modify) 🎁 BONUS FEATURES: Comprehensive sticky notes explaining each step Beautiful, mobile-responsive email template Professional PDF styling with modern design Easily customizable for your branding Ready-to-use webhook endpoint Error handling guidelines included Perfect for: Developers, No-code enthusiasts, Business owners, SaaS platforms, Community managers, Event organizers Start automating your user verification process today! 🚀
by Raghvendra dixit
Description This workflow intelligently scans your inbox, detects whether an email is marketing or genuine, and takes the right action automatically. Marketing Emails : Deleted instantly and logged in Google Sheets for tracking. Non-Marketing Emails : Receive a customized, polite reply crafted using AI. Tracking : Every action (delete/reply) is recorded for auditing and reference. Accounts & Tools n8n instance (self-hosted or cloud). Google account with: Gmail API access (for reading, deleting, and replying). Google Sheets API access (for logging deleted/replied emails). IMP/SMTP credentials (if using IMAP trigger instead of Gmail API). Google Gemini (PaLM) API key to classify emails and generate replies. Setup instructions Create a n8N account on cloud or install it locally. follow the quick start guide this Define your trigger point for your workflow as how or when this needs to run. Currently IMAP has been used to detect if any email is received and if so, trigger the workflow Now, we need to setup the google account which allows our workflow to read emails. Follow this guideline to setup gmail account Next step is to add an AI tool which is google gemini here. To set up and use, see this guideline Since AI response is in text, we need a parser tool to read a specific value from text Setup a categorization tool like this Next is to send or delete email and for this, an existing gmail setup is going to work In the last, we need to set a connection for sheet to keep the logs. Adding any sheet to workflow can be seen as google sheet integration How it work Once any emails is received, IMAP detects and starts the workflow. Now, email is passed to AI model to see if this email is a marketing email or not. Also, is its not a marketing email, it generates a tailored response. Currently, sender, subject and body of email is being scanned and marked as marketing based on model's feedback. Since AI response is in text format, using a formattor to parse it Next step is to read its category as if it is a marketing email Based on email type, there are 2 steps: delete email if it is a marketing email Read the response from previos node and send that as reply Last step is track this activity as which emails is deleted or replied. In terms of structure of sheet, it has 2 tabs deleted emails & replied emails and both have 2 columns Email ID subject Future Use it to categories emails for wider range like job applications, bills, customer supprt and tailor replies for each categories seperately Logging can done in wider sources like databases etc In case if we are logging on sheet, a further enhancements like follow up emails etc can be done
by AFK Crypto
Try It Out! The SOL/USDT Multi-Timeframe AI Market Analyzer and Trader with Telegram Approval is your fully automated Solana trading assistant powered by AI, AFK Crypto, and Telegram. It runs hourly by default, fetches real-time market data for the SOL/USDT pair, and uses AI-driven logic to determine optimal entry, exit, and risk management strategies. You receive a Telegram approval message that lets you confirm or reject the trade instantly. Once approved, the bot executes trades via your AFK Crypto Wallet and keeps monitoring for Take-Profit or Stop-Loss triggers — sending alerts directly to Telegram when they’re hit. This system combines automation with manual oversight, giving you AI precision with human approval control. How It Works Hourly Trigger – The workflow initiates every hour to analyze the current market status. Fetch SOL Market Data (Crypto Compare) – Retrieves multiple timeframe data (1m, 5m, 1h) for trend, momentum, and volatility analysis. AI Market Analyzer – Processes data through an AI agent to identify: Market sentiment (bullish, bearish, neutral) Recommended position: LONG / SHORT / HOLD Stop-Loss and Take-Profit levels Confidence rating and reasoning Balance Check (AFK Crypto) – Verifies wallet balance via /v1/wallets/balances?chain=solana and calculates position size based on 1% risk. Telegram Approval Message – Sends a Telegram message containing AI insights and trade details with “✅ Approve” or “❌ Decline” buttons. Trade Execution (AFK Trade API) – If approved, executes trade instantly via /v1/trade/swap using your AFK Crypto wallet. Live Trade Monitoring – Monitors SOL price in real-time. Once Take-Profit or Stop-Loss conditions are met: The position auto-closes. A Telegram notification is sent summarizing results and updated balance. How to Use Import the workflow into your n8n workspace. Add your credentials: AFK Crypto API Key – For balance and trading operations. Telegram Bot Token + Chat ID – For sending messages and approvals. Crypto Compare API Key – For fetching market data. Edit “Fetch SOL Market Data” Node: Update the endpoint if you want different timeframes or markets. Set the schedule: Default trigger = every hour (modifiable in the “Every Hour” node). Deploy and activate. The bot will send you hourly market analyses via Telegram — allowing you to approve or skip each suggested trade. (Optional) Extend This Workflow Auto Mode:** Allow the AI to auto-trade when confidence > 90%. Portfolio Sync:** Log every trade and PnL automatically to Notion or Airtable. Risk Adjuster:** Dynamically modify the 1% risk per trade based on balance or volatility. Multi-Pair Trading:** Expand to include ETH/USDT or BTC/USDT using the same logic. Requirements AFK Crypto Wallet + API Key** Telegram Bot Token + Chat ID** Crypto Compare API Key** n8n Instance** with HTTP Request, AI, and Telegram nodes enabled AFK APIs Used GET https://api.afkcrypto.com/v1/wallets/balances?chain=solana POST https://api.afkcrypto.com/v1/trade/swap Summary The SOL/USDT Multi-Timeframe AI Market Analyzer and Trader with Telegram Approval workflow is an intelligent trading automation system that merges AI analytics, Telegram decision prompts, and AFK Crypto execution. It empowers you to make data-driven trading decisions — with AI doing the heavy lifting and you retaining the final say before every trade. A perfect hybrid between automation and control, optimized for active Solana traders who value precision and security. Our Website: https://afkcrypto.com/ Check our blogs: https://www.afkcrypto.com/blog
by Trung Tran
Chat-Based AWS Lambda Manager with Automated Audit Logging (GPT-4.1 mini + Google Sheet) > This workflow provides a chat-based AI agent to manage AWS Lambda functions. It allows users to list, invoke, get details, and delete Lambda functions, while automatically recording every action into Google Sheets for audit and compliance tracking. Who’s it for Cloud engineers and DevOps teams managing AWS Lambda functions. Developers who want a simple chat interface to perform Lambda operations. Compliance and operations teams needing automatic audit logs of AWS actions. How it works / What it does A chat message triggers the AWS Lambda Manager Agent. The agent interprets user intent and calls one of the available tools: Invoke Lambda Function: Runs a Lambda function with given payload. List Lambda Functions: Shows all functions in the account. Get Lambda Function: Retrieves details/configuration of a function. Delete a Function: Removes a Lambda function permanently. After each action, the agent calls Audit Logs (Google Sheets) to record the operation type, function name, timestamp, and outcome. The agent confirms destructive actions (like delete) before execution. How to set up Add a Chat Trigger node to start the workflow when a user sends a message. Connect it to the AWS Lambda Manager Agent node. Configure the agent with the provided system prompt to enforce rules and logging. Link the agent to the following tool nodes: Invoke Lambda Function List Lambda Functions Get Lambda Function Delete a Function Audit Logs (Google Sheets with appendOrUpdate enabled) Deploy the workflow and test it with sample chat commands like “list functions” or “invoke testFunction”. Requirements AWS account with IAM credentials that have lambda:ListFunctions, lambda:InvokeFunction, lambda:GetFunction, and lambda:DeleteFunction permissions. Google Sheets API connected for storing audit logs. Proper region and function names configured when invoking or deleting. n8n instance or automation platform that supports agent + tool integration. How to customize the workflow Add new tools**: Extend with more AWS Lambda operations like Update Function Code or Publish Version. Enhance logging**: Include user ID, request payload, or execution results in Audit Logs. Access control**: Restrict delete actions to admins by adding role-based logic. Multi-cloud support**: Extend the agent to handle Azure/AWS/GCP serverless functions in one workflow. Custom responses**: Modify agent prompt to tailor tone (developer-friendly vs. business-friendly).
by Vadym Nahornyi
> ⚠️ Multi-language Slack Error Notifier Track errors like a pro — this prebuilt Slack alert flow notifies you instantly when any workflow fails. ✅ No coding needed ✅ Works with any workflow via Error Workflow setting ✅ Step-by-step setup guides in: 🇬🇧 English 🇪🇸 Español 🇩🇪 Deutsch 🇫🇷 Français 🇷🇺 Русский Just plug it in, follow the quick setup, and never miss a failure again.
by Oneclick AI Squad
This automated n8n workflow monitors API uptime by periodically checking API availability and sending instant WhatsApp alerts if any service goes down. It retrieves API details from a Google Sheet and includes retry logic for failed requests. Good to Know Checks API status every 15 minutes Integrates with Google Sheets for API list management Implements a retry mechanism with up to 4 attempts Sends WhatsApp alerts for downtime Supports customizable API request configurations How It Works Schedule Trigger** - Triggers every 15 minutes Read API List** - Fetches all API URLs from a Google Sheet Process Each API1** - Loops through each API entry Init Retry Counter** - Initializes retryCount = 0 Test API** - Sends the first request to the API Check Response** - Checks if a valid response was received If No Response** - Branches into retry flow if down Wait 10 Min → Increment Retry → Retry API → Check Retry Response** - Wait and retry API call once If Still No Response** - Verifies if retry also failed If Still No Retry > 4** - Checks if retry limit is reached (≥ 4) Format Down Alert** - Formats the WhatsApp alert with API details Send WhatsApp Alert** - Sends API down alert to the configured number Continue Next API** - Moves to the next API in the list How to Use Import workflow into n8n Configure Google Sheets API for API list access Set up WhatsApp API for alerts Define API details in Google Sheet Test with sample APIs and verify alerts Adjust retry limits or schedule as needed Requirements Access to Google Sheets API WhatsApp API configuration Scheduled trigger setup in n8n Sheet Structure | Sheet Column | Example Data | | -------------------- | ------------------------------------------------------------ | | name | Timeout Test | | method | GET | | url | https://httpbin.org/delay/15 | | headers | {"Content-Type": "application/json"} | | body | {"key": "value"} | | expectedField | status | | expectedValue | success | | expectedStatusCode | 200 | Customizing This Workflow Modify trigger interval Adjust retry limits or wait times Customize WhatsApp alert format Add additional API headers or body data Integrate with other notification services
by Evoort Solutions
Spotify Music Downloader: Effortless Music Downloading from Spotify Description: The Spotify Music Downloader is an automation flow that allows users to easily download music from Spotify tracks. By leveraging the powerful Spotify Downloader API, the flow downloads Spotify tracks, uploads them to Google Drive, and logs the details to Google Sheets for better management. With this tool, you can save time and effort while enjoying the convenience of direct downloads and automatic organization. Use Case: Music Enthusiasts**: Easily download your favorite Spotify tracks and store them in Google Drive. Content Creators**: Automate the process of storing and tracking downloaded music files. Organizational Automation**: Store download links and file sizes in Google Sheets to track downloads systematically. Spotify Users**: Provides a hassle-free way to access and organize your Spotify music offline. Benefits: Simple & Automated**: Easily download and organize music from Spotify with minimal effort. Seamless Integration**: Directly integrates with Google Drive for storage and Google Sheets for tracking. Fast: Uses the **Spotify Downloader API to quickly fetch and download the tracks. Track Downloads**: Keep a record of each download, including size, download link, and other details. Google Drive Storage**: Automatic storage of downloaded tracks in your Google Drive, making it easy to access files anytime. Node-by-Node Explanation: On Form Submission: The flow starts when the user submits a Spotify track URL through a form. HTTP Request (Spotify Downloader API): Sends a request to the Spotify Downloader API to retrieve the music file associated with the given Spotify URL. If (Link Validation): Ensures that the provided Spotify URL is not empty. If1 (Success Validation): Checks if the API response was successful. Download Music: Downloads the music file from the provided Spotify link using the fetched download URL. Google Drive: Uploads the downloaded music file to Google Drive. Google Sheets: Logs the successful download details (like URL, download link, size, and timestamp) to Google Sheets. Code (File Size Calculation): Calculates the file size of the downloaded music file in MB. Wait: Introduces a delay to ensure that the upload process to Google Drive is complete before continuing. Wait1: Another wait node to allow additional time between the various steps in the flow. Google Sheets1 (Success Logs): Adds a new record for a successful download to a Google Sheet. Google Sheets2 (Failed Logs): Records failed download attempts in a secondary Google Sheet. By utilizing this flow, you can automate the process of downloading music from Spotify and storing it in Google Drive while keeping track of every download in Google Sheets. It's an ideal solution for music lovers, content creators, or anyone looking to automate their music download and storage process with ease. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!
by Arkadiusz
What this workflow does This template automates the entire process of documenting Sprint Reviews in Scrum: Input Collection – Through a friendly form, users upload the transcript file (meeting notes, sprint review transcript, or VTT captions) and specify the sprint name and domain. Transcript Parsing – A Code node formats the transcript into clean [HH:MM:SS] Speaker: text lines, supporting VTT, Zoom, or custom timestamp formats used in Scrum events. AI-Driven Summary – The AI Agent (LangChain + OpenAI) produces a well-structured AI summarization in Markdown, including: A 3–5 bullet Executive Summary of sprint review highlights A Presentation Recap table (Timestamp | Presenter | Topics) A list of Action Items with owners (if recognizable from the transcript) Preview – The summary renders as a styled card with custom CSS for easy readability in n8n. Archive – Automatically appends a record to Google Sheets, saving the date, domain, sprint, transcript file name, and the AI-generated sprint review summary. Why it’s useful Zero manual summarizing** – AI extracts key insights from transcript files into Markdown you can instantly share with your Scrum team and stakeholders. Easy setup** – drag-and-drop import, plus form-based input for non-technical users during sprint reviews. Centralized tracking** – all past sprint summaries live in one spreadsheet for retrospectives, audits, and continuous improvement. Flexible and extendable** – you can switch to Airtable, Slack, or Notion, or refine the summary template to match your Scrum workflow. Ideal for Scrum Masters** wanting quick sprint review summaries for stakeholders Agile Coaches** analyzing sprint review transcripts, presentation patterns, and follow-up tasks Product Owners** keeping a searchable log of sprint outcomes and action items Prerequisites / Credentials OpenAI API Key** — required for the AI Agent node (or any other Agent for summarization) Google Sheets OAuth2 credentials** — required for saving sprint review data to Sheets (Optional) Ensure LangChain / AI Agent nodes are installed in your n8n instance How to Use This Template Import the workflow JSON into your n8n instance. Set up credentials: For the OpenAI LLM node, provide your OpenAI API key In Google Sheets, configure OAuth2 and specify your spreadsheet ID (replace YOUR_SHEET_ID) Create a new sheet with the following columns: Date Domain Sprint name Content VTT file Transcript Enable and run the workflow. Fill out the form: upload transcript file, enter sprint & domain, click Create Summary. View the AI-generated Markdown sprint review summary in the preview card. Verify the new entry appears in your Google Sheet with all sprint details.
by Rahul Joshi
Description This workflow acts as a CI/CD-style test harness for validating other n8n workflows. It executes a target workflow (here: Archive Payment Receipts), evaluates pass/fail outcomes, and generates structured reports. Results are automatically archived to Google Drive, logged in Google Sheets, and synced with ClickUp for visibility. Both success and failure scenarios are handled with standardized formatting. What This Template Does (Step-by-Step) ⚡ Manual Trigger – Start the test run manually. ▶️ Execute Target Workflow Under Test – Calls the specified workflow (Archive Payment Receipts) and captures its output, even if it errors. ✅ Test Result Evaluation (If Node) – Checks if the output contains errors. Pass Path → success formatting + archival. Fail Path → failure formatting + logging. 📄 Format Success Test Result (Set Node) – Creates a structured result object with: Status: ✅ Passed Workflow Name Timestamp 📄 Format Failed Test Result (Set Node) – Same as above, but with ❌ Failed status. 📝 Generate Success/Failure Report Text (Code Node) – Converts structured data into a human-readable report string. 📦 Convert Report to Text File – Transforms the text into a .txt file for archiving. ☁️ Archive Reports to Google Drive – Saves .txt files (success/failure) into the resume store folder with timestamped filenames. ✏️ Update ClickUp Task (Success/Failure) – Posts results directly into a ClickUp task for visibility. 📊 Log Error Details to Error Tracking Sheet (Google Sheets) – Appends raw error objects to an error log sheet for debugging and trend analysis. Prerequisites Target workflow to test (e.g., Archive Payment Receipts) Google Drive folder for report storage Google Sheets (Error Log tab) ClickUp API credentials n8n instance Key Benefits ✅ Automates workflow regression testing ✅ Captures pass/fail outcomes with full audit trail ✅ Maintains error logs for debugging and reliability improvements ✅ Keeps stakeholders updated via ClickUp integration ✅ Supports compliance with archived test reports Perfect For Teams running workflow QA & testing Organizations needing audit-ready test reports DevOps pipelines with continuous validation of automations Stakeholders requiring real-time visibility into workflow health
by Madame AI
Post Jobs to Multiple Boards from Google Sheets using BrowerAct This powerful n8n template turns a Google Sheet into a control panel for automating job postings across multiple job boards. This workflow is perfect for HR teams, recruiters, and hiring managers who want to streamline their hiring process by posting jobs to multiple boards from a single source of truth. Self-Hosted Only This Workflow uses a community contribution and is designed and tested for self-hosted n8n instances only. How it works The workflow is triggered in two ways: manually (to batch-post all "Ready to Post" jobs) or automatically via a Google Sheets Trigger when a single row is updated. An If node filters for jobs marked with the status 'Ready to Post'. A BrowserAct node takes the job details (title, description, logins, target URL) and runs an automation to post the job on the specified board. An If node checks if the posting was successful. If it fails, a Slack alert is sent. A Code node parses the successful result from BrowserAct to get the status and live URL. The workflow Updates the row in Google Sheets with the Live_URL and changes the Status to 'Posted'. A final Slack message is sent to a channel to confirm the successful posting. Requirements BrowserAct** API account for automated posting BrowserAct* "Automated Job Posting to Niche Job Site (Custom Site)*" Template | User needs to customize the workflow based on the target site. BrowserAct** n8n Community Node -> (n8n Nodes BrowserAct) Google Sheets** credentials Slack** credentials for sending notifications Need Help? How to Find Your BrowseAct API Key & Workflow ID How to Connect n8n to Browseract How to Use & Customize BrowserAct Templates How to Use the BrowserAct N8N Community Node
by Oneclick AI Squad
This workflow utilizes Philips IntelliVue Device details to automatically track patient vitals, such as heart rate and oxygen levels. It quickly spots critical health issues and sends alerts to healthcare staff for fast action. The system saves data for records and helps improve patient care with real-time updates. It’s simple to set up and adjust for different needs. Essential Information Processes data from Philips IntelliVue Devices to monitor vitals instantly. Filters and categorizes conditions as critical or non-critical based on thresholds. Sends clinical alerts for critical conditions and logs data for review. Runs every 30 seconds to ensure timely updates. System Architecture Data Collection Pipeline: Poll Device Data Every 30s**: Continuously retrieves vitals from Philips IntelliVue Devices. Fetch from IntelliVue Gateway**: Retrieves data via HTTP GET requests. Processing Pipeline: Process Device Data**: Analyzes and validates the data stream. Alert Generation Flow: Validate & Enrich Data**: Ensures accuracy and adds patient context. Save to Patient Database**: Stores data for records. Check Alert Status**: Applies rules to trigger alerts. Send Clinical Alert**: Notifies staff for critical conditions. Implementation Guide Import workflow JSON into n8n. Configure the Philips IntelliVue Devices gateway URL and test with sample data. Set up alert credentials (e.g., email). Test and adjust rule thresholds. Technical Dependencies Philips IntelliVue Devices for vitals data. n8n for automation. Email or messaging API for alerts. Database for data storage. Customization Possibilities Adjust Switch node rules for critical thresholds. Customize alert messages. Modify database schema. Add logging for analysis.
by Trung Tran
AWS IAM Access Key Rotation Reminder Automation Workflow Watch the demo video below: Who’s it for DevOps/SRE teams responsible for AWS account security. Security/compliance officers ensuring key rotation policies are followed. Any AWS account owner who wants automatic detection of stale access keys. How it works / What it does Weekly Scheduler — triggers the workflow on a recurring basis. Get Many Users — fetches all IAM users in the AWS account. Get User Access Key(s) — retrieves the access keys associated with each user. Filter Out Inactive Keys — removes keys that are not active (e.g., status Inactive). Access Key Older Than 365 Days — checks the key creation date and flags keys older than one year. Send Slack Message — notifies a Slack channel with details of the outdated key(s) for review and action. No Operation — safely ends the workflow if no keys match the condition. How to set up Configure the Weekly Scheduler to run at your desired cadence (e.g., every Monday). Use Get Many Users to list all IAM users. For each user, call ListAccessKeys (Get User Access Key(s)) to fetch their key metadata. Apply a filter to keep only keys with status Active. Add a condition to compare CreateDate against today - 365 days. Send results to Slack using the Slack Post Message node. Requirements n8n (latest version). AWS credential in n8n configured for us-east-1 (IAM requires signing with this region). IAM permissions: iam:ListUsers iam:ListAccessKeys Slack bot credentials with permission to post messages in the desired channel. How to customize the workflow Change threshold** — adjust the 365 days condition to 90, 180, or any other rotation policy. Escalation** — mention @security or create a Jira/Ticket when old keys are found. Logging** — push flagged results into a Google Sheet, database, or log management system for audit. Automation** — instead of only notifying, add a step to automatically deactivate keys older than the threshold (after approval). Multi-account support** — duplicate or loop across multiple AWS credentials if you manage several AWS accounts.