Workflow Templates

How it Works This n8n template makes it possible to send emails directly from your Obsidian notes. It leverages the power of the Obsidian Post Webhook plugin, allowing seamless integration between your notes and the email workflow. What it does: Receives note content and metadata from Obsidian via a Webhook. Parses YAML frontmatter to define email recipients, subject, and more. Automatically processes attachments, encoding them into an email-friendly format. Sends emails via Gmail and confirms the status back to Obsidian. Includes a testing feature to verify everything works before going live. Set-up Steps Webhook Configuration: Set your n8n POST Webhook URL in the Obsidian Obsidian Post Webhook plugin settings. Email Integration: Submit the Gmail credentials in n8n email nodes. Test the Workflow: Run a test from Obsidian to ensure the template functions correctly. Activate and Enjoy: Start sending customized emails with attachments from your notes in no time!

AI-Powered MCQ Quiz Generator from YouTube Videos Transform any YouTube video into an interactive MCQ quiz automatically! This workflow uses Google Gemini AI to analyze video content and generate comprehensive multiple-choice questions with automatic grading - perfect for educators, trainers, and content creators. Who is this For This workflow is perfect for: Educators** creating quizzes from educational YouTube content Corporate Trainers** developing assessments from training videos Content Creators** engaging their audience with interactive quizzes Students** testing their knowledge on video lectures Online Course Creators** building assessments from video content Features AI Video Analysis**: Google Gemini 2.5 Flash analyzes entire YouTube videos (up to 50 minutes) Dynamic Question Generation**: Creates up to 90 MCQ questions with 3 options each Automatic Form Creation**: Generates Google Forms with quiz functionality Smart Grading**: Built-in correct answer identification and scoring Error Handling**: Robust error management with user feedback How It Works User Input via n8n Web Form: Form Name (Quiz Title) Email Address YouTube Video URL Number of Questions (1-90) AI Processing Pipeline: Google Gemini analyzes the YouTube video content AI extracts key concepts and generates relevant questions Structured output parser formats questions into JSON Google Forms Integration: Automatically creates a new Google Form Adds all generated questions with multiple choice options Configures quiz settings with correct answers and scoring Completion & Access: User receives direct link to the generated quiz Form ready for immediate use or sharing Video Demo: See this youtube Video to explore "how it works". Set Up Steps Import the Workflow Create a new workflow in n8n Import the JSON file by clicking "three dots" (upper right corner) > "Import from file..." Configure Google Gemini API Get your Google AI Studio API key from Google AI Studio On “HTTP Request to Gemini” node replace the “API_KEY” from url with your API key. Create a "Google Gemini (PaLM) API" credential in n8n Add your API key to the credential Connect the credential to the "Google Gemini Chat Model" node Set Up Google Forms Integration Enable Google Forms API in Google Cloud Console Create a "Google OAuth2 API" credential in n8n Authorize the credential with Forms permissions Connect the credential to both HTTP Request nodes (“Create a Google Form” node and “Create MCQ Quizzes” node) Configure Form Trigger The workflow includes a built-in form trigger No additional setup needed - the form URL will be generated automatically Customize form fields if needed in the “Input YouTube URL" node Test the Workflow Activate the workflow Submit the form to generate a test quiz Verify the Google Form is created successfully Pre-requisites Necessary Accounts:** Google Account (for Forms API access) Google AI Studio Account (for Gemini API access) n8n Instance (cloud or self-hosted) API Access:** Google Forms API enabled Google drive API enabled Google Generative AI API access Valid API keys and OAuth credentials N8N Requirements:** n8n version 1.95.2 or higher LangChain nodes package installed Internet access for API calls Customization Guidance Question Generation Prompts: Modify the prompt in "Set Prompt and model" node for different question styles Adjust difficulty levels or focus areas Change question format (True/False, Fill-in-blanks, etc.) Form Customization: Update form title and description templates Add additional input fields (difficulty level, subject area) Customize success/error messages Advanced Features You Can Add: Email Notifications: Send quiz links via email Analytics Integration: Track quiz performance and completion rates Multi-language Support: Generate quizzes in different languages Question Bank Storage: Save generated questions to a database Batch Processing: Generate multiple quizzes from a YouTube playlist Error Handling Enhancements: Add retry logic for API failures Implement fallback question generation Create detailed error logging Technical Specifications Video Length**: Up to 50 minutes supported Question Limit**: 1-90 questions per quiz Processing Time**: 2-10 minutes depending on video length Supported Formats**: YouTube videos (public and unlisted) Output Format**: Google Forms with automatic grading Limitations & Considerations YouTube video must be publicly accessible or unlisted Processing time increases with video length and question count API rate limits may apply for high-volume usage Some complex visual content may not be fully analyzed Ready to Transform Videos into Quizzes? This workflow streamlines the entire process from video analysis to quiz deployment. Perfect for educators and trainers looking to create engaging assessments from video content quickly and efficiently.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors local event platforms (Eventbrite, Meetup, Facebook Events) and aggregates upcoming events that match your criteria. Never miss a networking or sponsorship opportunity again. Overview A scheduled trigger scrapes multiple event sites via Bright Data, filtering by location, date range, and keywords. OpenAI classifies each event (conference, meetup, workshop) and extracts key details such as venue, organizers, and ticket price. Updates are posted to Slack and archived in Airtable for quick lookup. Tools Used n8n** – Core automation engine Bright Data** – Reliable multi-site scraping OpenAI** – NLP-based event categorization Slack** – Delivers daily event digests Airtable** – Stores enriched event records How to Install Import the Workflow: Add the .json file to n8n. Configure Bright Data: Provide your account credentials. Set Up OpenAI: Insert your API key. Connect Slack & Airtable: Authorize both services. Customize Filters: Edit the initial Set node to adjust city, radius, and keywords. Use Cases Community Managers**: Curate a calendar of relevant events. Sales Teams**: Identify trade shows and meetups for prospecting. Event Planners**: Track competing events when choosing dates. Marketers**: Spot speaking or sponsorship opportunities. 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 #eventmonitoring #brightdata #openscraping #openai #slackalerts #n8nworkflow #nocode #meetup #eventbrite

✨ Try It Out! Sync your Linear issues to Todoist automatically with this n8n workflow. When an issue is created, updated, or completed in Linear, a corresponding task is created, updated, or closed in Todoist. ⚙️ How It Works Triggered by issue changes via linearTrigger Routes based on action (create, update, remove) Checks if a matching Todoist task already exists (via issue ID) If the issue has: A due date And is assigned to you (youremail@example.com) ➤ Then it creates or updates the task accordingly If the issue is marked Done, the Todoist task is closed If it's deleted in Linear, the Todoist task is also removed Sub-issues get enriched with their parent title for clarity 🛠️ Customization Replace youremail@example.com with your Linear email in the IF nodes Adjust which states are synced (e.g. “In Progress”, “Todo”...) Customize the Todoist project, labels, or title formatting ⚠️ Bi-directional Sync? This workflow is one-way (Linear ➜ Todoist). Bi-directional syncing might be possible but isn’t handled here—it would be a cool upgrade! ✅ Requirements n8n with OAuth2 access to Linear and Todoist Your Linear email set in the workflow for filtering A target Todoist project (default: Inbox) 💬 Need Help? Ask in the n8n Forum or join the Discord. Happy Automating! 🚀

This automated n8n workflow scrapes job listings from Upwork using Apify, processes and cleans the data, and generates daily email reports with job summaries. The system uses Google Sheets for data storage and keyword management, providing a comprehensive solution for tracking relevant job opportunities and market trends. What is Apify? Apify is a web scraping and automation platform that provides reliable APIs for extracting data from websites like Upwork. It handles the complexities of web scraping including rate limiting, proxy management, and data extraction while maintaining compliance with website terms of service. Good to Know Apify API calls may incur costs based on usage; check Apify pricing for details Google Sheets access must be properly authorized to avoid data sync issues The workflow includes data cleaning and deduplication to ensure high-quality results Email reports provide structured summaries for easy review and decision-making Keyword management through Google Sheets allows for flexible job targeting How It Works The workflow is organized into three main phases: Phase 1: Job Scraping & Initial Processing This phase handles the core data collection and initial storage: Trigger Manual Run - Manually starts the workflow for on-demand job scraping Fetch Keywords from Google Sheet - Reads the list of job-related keywords from the All Keywords sheet Loop Through Keywords - Iterates over each keyword to trigger Apify scraping Trigger Apify Scraper - Sends HTTP request to start Apify actor for job scraping Wait for Apify Completion - Waits for the Apify actor to finish execution Delay Before Dataset Read - Waits a few seconds to ensure dataset is ready for processing Fetch Scraped Job Dataset - Fetches the latest dataset from Apify Process Raw Job Data - Filters jobs posted in the last 24 hours and formats the data Save Jobs to Daily Sheet - Appends new job data to the daily Google Sheet Update Keyword Job Count - Updates job count in the All Keywords summary sheet Phase 2: Data Cleaning & Deduplication This phase ensures data quality and removes duplicates: Load Today's Daily Jobs - Loads all jobs added in today's sheet for processing Remove Duplicates by Title/Desc - Removes duplicates based on title and description matching Save Clean Job Data - Saves the cleaned, unique entries back to the sheet Clear Old Daily Sheet Data - Deletes old or duplicate entries from the sheet Reload Clean Job Data - Loads clean data again after deletion for final processing Phase 3: Daily Summary & Email Report This phase generates summaries and delivers the final report: Generate Keyword Summary Stats - Counts job totals per keyword for analysis Update Summary Sheet - Updates the summary sheet with keyword statistics Fetch Final Summary Data - Reads the summary sheet for reporting purposes Build Email Body - Formats email with statistics and sheet link Send Daily Report Email - Sends the structured daily summary email to recipients Data Sources The workflow utilizes Google Sheets for data management: AI Keywords Sheet - Contains keyword management data with columns: Keyword (text) - Job search terms Job Count (number) - Number of jobs found for each keyword Status (text) - Active/Inactive status Last Updated (timestamp) - When keyword was last processed Daily Jobs Sheet - Contains scraped job data with columns: Job Title (text) - Title of the job posting Description (text) - Job description content Budget (text) - Job budget or hourly rate Client Rating (number) - Client's rating on Upwork Posted Date (timestamp) - When job was posted Job URL (text) - Direct link to the job posting Keyword (text) - Which keyword found this job Scraped At (timestamp) - When data was collected Summary Sheet - Contains daily statistics with columns: Date (date) - Report date Total Jobs (number) - Total jobs found Keywords Processed (number) - Number of keywords searched Top Keyword (text) - Most productive keyword Average Budget (currency) - Average job budget Report Generated (timestamp) - When summary was created How to Use Import the workflow into n8n Configure Apify API credentials and Google Sheets API access Set up email credentials for daily report delivery Create three Google Sheets with the specified column structures Add relevant job keywords to the AI Keywords sheet Test with sample keywords and adjust as needed Requirements Apify API credentials and actor access Google Sheets API access Email service credentials (Gmail, SMTP, etc.) Upwork job search keywords for targeting Customizing This Workflow Modify the Process Raw Job Data node to filter jobs by additional criteria like budget range, client rating, or job type. Adjust the email report format to include more detailed statistics or add visual aids, such as charts. Customize the data cleaning logic to better handle duplicate detection based on your specific requirements, or add additional data sources beyond Upwork for comprehensive job market analysis.

This workflow uses a Hubspot Trigger to check for new companies. It then checks the companies website exists using the HTTP node. If it doesn't, a message is sent to Slack. To configure this workflow you will need to set the credentials for the Hubspot and Slack Nodes. You will also need to select the Slack channel to use for sending the message.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks individual sales rep performance—calls, emails, meetings, quota attainment—and surfaces coaching insights. Free your managers from manual report building and focus on improvement. Overview On a daily schedule, the workflow queries CRM and telephony/email logs, aggregating activity metrics per rep. OpenAI analyzes patterns, flags underperformance or standout achievements, and suggests tailored coaching tips. Results are delivered as a nicely formatted Slack message and stored in Airtable. Tools Used n8n** – Automation backbone CRM + Telephony APIs** – Provide activity data OpenAI** – Generates insights and coaching tips Slack** – Sends manager digest Airtable** – Maintains historical performance records How to Install Import the Workflow into n8n. Connect Data Sources: Add CRM, VoIP, and email API keys. Set Up OpenAI: Enter your API key. Authorize Slack & Airtable. Customize Metrics: Modify the aggregation node to focus on your KPIs. Use Cases Sales Coaching**: Provide reps with daily feedback. Performance Management**: Quickly identify top and low performers. Incentive Programs**: Track achievements for rewards. Revenue Operations**: Unify activity data into one source. 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 #salesperformance #openai #salescoaching #n8nworkflow #nocode #revenueops

Update 19-04-2025 Change from OpenAI to Claude 3.7 Sonnet module Adding the Think Tool The update enables significantly better results to be achieved. This is particularly noticeable during longer meetings! What this workflow does This workflow retrieves the Zoom meeting data from the last 24 hours. The transcript of the last meeting is then retrieved, processed, a summary is created using AI and sent to all participants by email. AI is then used to create tasks and follow-up appointments based on the content of the meeting. Important: You need a Zoom Workspace Pro account and must have activated Cloud Recording/Transcripts! This workflow has the following sequence: manual trigger (Can be replaced by a scheduled trigger or a webhook) retrieval of of Zoom meeting data filter the events of the last 24 hours retrieval of transcripts and extract of the text creating a meeting summary, format to html and send per mail create tasks and follow-up call (if discussed in the meeting) in ClickUp/Outlook (can be replaced by Gmail, Airtable, and so forth) via sub workflow Requirements: Zoom Workspace (via API and HTTP Request): Documentation Microsoft Outlook: Documentation ClickUp: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g. “Analytics_Domain_5). Feel free to contact me via LinkedIn, if you have any questions!

Trigger on new Typeform form submission Write data to Google Sheet Check severity of problem If very severe post message to Slack If not so severe just send an email Assumptions Google Sheet Sheet in Spreadsheet called "Problems". Columns Names: Name Email Severity Problem Example Sheet: https://docs.google.com/spreadsheets/d/17fzSFl1BZ1njldTfp5lvh8HtS0-pNXH66b7qGZIiGRU Typeform Typeform formular with questions named exactly like the columns of the Google Sheet.

🎦🚀 YouTube Video Comment Analysis Agent This n8n workflow is designed to help YouTube creators analyze video details and comments to generate a comprehensive and actionable report. The workflow provides insights into video performance, audience engagement, and viewer feedback, helping creators identify trends, interests, and opportunities for future content creation. ✨ Key Features Video Performance Analysis: Extracts metrics like views, likes, and comments to evaluate the video's success. Comment Sentiment Analysis: Determines the tone of comments (positive, neutral, or negative) to understand audience sentiment. Recurring Themes Detection: Identifies common topics or questions in comments to highlight viewer interests. Engagement Drivers: Pinpoints what aspects of the video resonated most with viewers. Actionable Recommendations: Offers strategies for creating follow-up content or improving future videos. Keyword Suggestions: Extracts frequently mentioned terms for better discoverability on YouTube. Collaboration Opportunities: Suggests potential partnerships based on viewer feedback or related channels. 🛠️ How to Use Set Up Workflow Variables: Add your GOOGLE_API_KEY and the VIDEO_ID of the YouTube video you want to analyze in the "Workflow Variables" node. Ensure your Google API key has access to the YouTube Data API. Run the Workflow: Trigger the workflow manually or through another workflow using the "Execute Workflow Trigger" node. The workflow will fetch video details and comments using pagination to ensure all data is captured. Generate Insights: The workflow processes video details and comments to create a detailed report with actionable insights. Outputs include sentiment analysis, engagement drivers, content opportunities, and audience profiling. View or Share Results: The report is converted into Markdown and can be emailed via Gmail or saved to Google Drive as a document. 🌟 Value from This Workflow Gain a deeper understanding of your audience's preferences and feedback. Identify trends and engagement drivers to replicate success in future videos. Discover new content opportunities based on viewer questions and suggestions. Improve discoverability by leveraging keyword suggestions extracted from comments. Build stronger connections with your audience by addressing their needs effectively.

CallForge - AI Gong Sales Call Processing Workflow Automate your Gong.io sales call analysis with AI-driven insights, real-time tracking, and structured CRM integration. Who is This For? This workflow is designed for: ✅ Sales teams looking to automate sales call processing. ✅ Revenue operations (RevOps) professionals managing high volumes of call data. ✅ AI-driven sales intelligence teams using Gong.io for data-driven insights. What Problem Does This Workflow Solve? Manually managing and analyzing large volumes of Gong call data is time-consuming and error-prone. With CallForge, you can: ✔ Automate call processing to scale AI-driven insights. ✔ Integrate with Notion to track and organize sales call data efficiently. ✔ Get real-time Slack updates to stay informed on call processing progress. ✔ Handle API failures gracefully, allowing easy reruns if a rate limit is hit. ✔ Ensure AI-ready analysis, feeding structured call data into an AI-powered system. What This Workflow Does 1. Triggers on New Gong Calls Captures new Gong calls and retrieves metadata, call summaries, and participant details. 2. Compares Calls Against Notion Database Checks whether the call has already been processed and stored in Notion. Prevents duplicate entries** from being added. 3. Creates a Parent Notion Record for AI Processing Stores call details such as date, title, URL, company name, sales rep, and opportunity details in Notion. Links calls to Salesforce Opportunity (SF Opp) data. Assigns sales representatives and customer information to each call. 4. Loops Through Calls for Processing Ensures resilience* by allowing failed runs to *restart where they left off**. Processes calls one at a time to prevent Notion rate limits. 5. Sends Call Data to an AI Processor Extracts structured call details and sends them to an AI-powered analysis workflow. Allows multiple AI agents to process and extract structured data from calls. 6. Provides Real-Time Slack Alerts Posts a progress update in Slack when the queue starts processing. Sends real-time call progress notifications. Sends a completion alert once all calls are processed. How to Set Up This Workflow 1. Connect Your APIs 🔹 Gong API Credentials – Ensure you have valid Gong API credentials in n8n. 🔹 Notion Database – Provide access to a Notion database for storing call insights. 🔹 Slack Integration – Configure a Slack channel for progress alerts. 🔹 AI Processing Workflow – Connect an AI-powered call processing workflow for final analysis. CallForge - 01 - Filter Gong Calls Synced to Salesforce by Opportunity Stage CallForge - 02 - Prep Gong Calls with Sheets & Notion for AI Summarization CallForge - 03 - Gong Transcript Processor and Salesforce Enricher CallForge - 04 - AI Workflow for Gong.io Sales Calls CallForge - 05 - Gong.io Call Analysis with Azure AI & CRM Sync CallForge - 06 - Automate Sales Insights with Gong.io, Notion & AI CallForge - 07 - AI Marketing Data Processing with Gong & Notion CallForge - 08 - AI Product Insights from Sales Calls with Notion How to Customize This Workflow 💡 Modify Call Storage – Swap Notion for a different CRM or database (e.g., HubSpot, Airtable, Salesforce). 💡 Change AI Processing – Integrate a custom AI model for analyzing sales conversations. 💡 Customize Slack Notifications – Adjust Slack messages or send alerts via email instead. 💡 Expand with More Integrations – Connect with Salesforce, Pipedrive, or HubSpot for further enrichment. Why Use CallForge? 🚀 Automate Gong call tracking for seamless sales intelligence. 📊 Improve sales operations with structured, AI-powered insights. ⚡ Get real-time updates and keep your team informed instantly. Start optimizing your Gong call processing today!

This workflow automates the process of sending voice calls for verification purposes and combines it with email verification. It uses the ClickSend API for voice calls and integrates with SMTP for email verification. This workflow is a powerful tool for automating phone and email verification, ensuring a seamless and secure user verification process. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to verify a user's phone number and email address through a combination of voice calls and email verification. Here's how it works: Form Submission: The workflow starts with a Form Trigger node, where users submit a form with the following fields: To: The recipient's phone number (including the international prefix, e.g., +1xxxx). Voice: The voice type (male or female). Lang: The language for the voice call (e.g., en-us, it-it, fr-fr, etc.). Email: The recipient's email address. Name: The recipient's name. Set Voice Code: The Set Voice Code node defines the verification code that will be spoken during the voice call. Format Code for Voice: The Code for Voice node formats the verification code by adding spaces between characters for better clarity during the voice call. Send Voice Call: The call includes the verification code, which is read aloud to the recipient. Verify Voice Code: The Verify Voice Code node prompts the user to enter the code they received via the voice call. The Is Voice Code Correct? node checks if the entered code matches the predefined code. If correct, the workflow proceeds to email verification. If incorrect, the user is notified of the failure. Set Email Code: The Set Email Code node defines the verification code that will be sent via email. Send Email: The Send Email node sends an email to the recipient with the verification code using SMTP. Verify Email Code: The Verify Email Code node prompts the user to enter the code they received via email. The Is Email Code Correct? node checks if the entered code matches the predefined code. If correct, the user is notified of successful verification. If incorrect, the user is notified of the failure. 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: ClickSend API Key: Create an account on ClickSend and obtain your API Key. In the Send Voice node, set up HTTP Basic Authentication: Username: Use the username you registered with on ClickSend. Password: Use the API Key provided by ClickSend. SMTP Configuration: Set up SMTP credentials in n8n for the Send Email node. Ensure the SMTP server is configured to send emails from the specified email address. Form Configuration: The Form Trigger node is pre-configured with fields for: To: The recipient's phone number. Voice: Choose between male or female voice. Lang: Select the language for the voice call. Email: The recipient's email address. Name: The recipient's name. Customize the form fields if needed. Set Verification Codes: In the Set Voice Code node, define the verification code that will be spoken during the voice call. In the Set Email Code node, define the verification code that will be sent via email. Test the Workflow: Submit the form with the required details (phone number, voice, language, email, and name). The workflow will: Send a voice call with the verification code. Prompt the user to verify the code. Send an email with the verification code. Prompt the user to verify the email code. Notify the user of success or failure. Need help customizing? Contact me for consulting and support or add me on Linkedin.