YouTube video content analyzer & summarizer with Gemini AI
This workflow takes two inputs, YouTube video URL (required) and a description of what information to extract from the video. If the description/"what you want" field is left empty, the default prompt will generate a detailed summary and description of the video's contents. However, you can ask for something more specific using this field/input. ++ Don't forget to make the workflow Active and use the production URL from the form node. Benefits Instant Summary Generation - Convert hours of watching YouTube videos to familiar, structured paragraphs and sentences in less than a minute Live Integration - Generate a summary or extract information on the contents of a YouTube video whenever, wherever Virtually Complete Automation - All that needs to be done is to add the video URL and describe what you want to know from the video Presentation - You can ask for a specific structure or tone to better help you understand or study the contents of the video How It Works Smart Form Interface: Simple N8N form captures video URL and description of what's to be extracted Designed for rapid and repeated completion anywhere and anytime Description Check: Uses JavaScript to determine if the description was filled in or left empty If the description field was left empty, the default prompt is, "Please be as descriptive as possible about the contents being spoken of in this video after giving a detailed summary." If the description field is filled, then the filled input will be used to describe what information to extract from the video HTTP Request: We're using Gemini API, specifically the video understanding endpoint We make a post HTTP request passing the video URL and the description of what information to extract Setup Instructions: HTTP Request Setup: Sign up for a Google Cloud account, join the Developer Program and get your Gemini API key Get curl for Gemini Video Understanding API The video understanding relies on the inputs from the form, code and HTTP request node, so correct mapping is essential for the workflow to function correctly. Feel free to reach out for additional help or clarification at my Gmail: terflix45@gmail.com, and I'll get back to you as soon as I can. Setup Steps: Code Node Setup: The code node is used as a filter to ensure a description prompt is always passed on. Use the JavaScript code below for that effect: // Loop over input items and add a new field called 'myNewField' to the JSON of each one for (const item of $input.all()) { item.json.myNewField = 1; if ($input.first().json['What u want?'].trim() == "") { $input.first().json['What do you want?'] = "Please be as descriptive as possible about the contents being spoken of this video after giving a detailed summary"; } } return $input.all(); // End of Code HTTP Request: To use Gemini Video Understanding, you'll need your Gemini API key Go to https://ai.google.dev/gemini-api/docs/video-understandingyoutube. This link will take you directly to the snippet. Just select REST programming language, copy that curl command, then paste it into the HTTP Request node Replace "Please summarize the video in 3 sentences." with the code node's output, which should either be the default description or the one entered by the user (second output field variable) Replace "https://www.youtube.com/watch?v=9hE5-98ZeCg" with the n8n form node's first output field, which should be the YouTube video URL variable Replace $GEMINIAPIKEY with your API key Redirect: Use n8n form node, page type "Final Ending" to redirect user to the initial n8n form for another analysis or preferred destination
By Adrian BentCreates a time tracking project from Syncro to Clockify
This workflow creates a project in Clockify that any user can track time against. Syncro should be setup with a webhook via Notification Set for Ticket - created (for anyone). > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro
By JonathanManage room members in Matrix
No description available.
By Harshil AgrawalFrom sitemap crawling to vector storage: Creating an efficient workflow for RAG
This template crawls a website from its sitemap, deduplicates URLs in Supabase, scrapes pages with Crawl4AI, cleans and validates the text, then stores content + metadata in a Supabase vector store using OpenAI embeddings. It’s a reliable, repeatable pipeline for building searchable knowledge bases, SEO research corpora, and RAG datasets. ⸻ Good to know • Built-in de-duplication via a scrape_queue table (status: pending/completed/error). • Resilient flow: waits, retries, and marks failed tasks. • Costs depend on Crawl4AI usage and OpenAI embeddings. • Replace any placeholders (API keys, tokens, URLs) before running. • Respect website robots/ToS and applicable data laws when scraping. How it works Sitemap fetch & parse — Load sitemap.xml, extract all URLs. De-dupe — Normalize URLs, check Supabase scrape_queue; insert only new ones. Scrape — Send URLs to Crawl4AI; poll task status until completed. Clean & score — Remove boilerplate/markup, detect content type, compute quality metrics, extract metadata (title, domain, language, length). Chunk & embed — Split text, create OpenAI embeddings. Store — Upsert into Supabase vector store (documents) with metadata; update job status. Requirements • Supabase (Postgres + Vector extension enabled) • Crawl4AI API key (or header auth) • OpenAI API key (for embeddings) • n8n credentials set for HTTP, Postgres/Supabase How to use Configure credentials (Supabase/Postgres, Crawl4AI, OpenAI). (Optional) Run the provided SQL to create scrape_queue and documents. Set your sitemap URL in the HTTP Request node. Execute the workflow (manual trigger) and monitor Supabase statuses. Query your documents table or vector store from your app/RAG stack. Potential Use Cases This automation is ideal for: Market research teams collecting competitive data Content creators monitoring web trends SEO specialists tracking website content updates Analysts gathering structured data for insights Anyone needing reliable, structured web content for analysis Need help customizing? Contact me for consulting and support: LinkedIn
By Mariela SlavenovaDeclutter Gmail: archive inactive emails with GPT-4 classification
Who is this for? This workflow is for professionals, entrepreneurs, or anyone overwhelmed by a cluttered Gmail inbox. If you want to automatically archive low-priority emails using AI, this is the perfect hands-free solution. What does it solve? Your inbox fills up with old, read emails that no longer need your attention but manually archiving them takes time. This workflow uses AI to scan and intelligently decide whether each email should be archived, needs a reply, or is spam. It helps you: Declutter your Gmail inbox automatically Identify important vs. unimportant emails Save time with smart email triage How it works A scheduled trigger runs the workflow (you set how often). It fetches all read emails older than 45 days from Gmail. Each email is passed to an AI model(GPT-4) that classifies it as: Actionable Archive If the AI recommends archiving, the workflow archives the email from your inbox. All other emails are left untouched so you can review them as needed. How to set up? Connect your Gmail (OAuth2) and OpenAI API credentials. Open the "Schedule Trigger" node and choose how often the workflow should run (e.g., daily, weekly). Optionally adjust the Gmail filter in the “List Old Emails” node to change which emails are targeted. Start the workflow and let AI clean up your inbox automatically. How to customize this workflow to your needs Change the Gmail filter: Edit the query in the Gmail node to include other conditions (e.g., older_than:30d, specific labels, unread only). Update the AI prompt: Modify the prompt in the Function node to detect more nuanced categories like “Meeting Invite” or “Newsletter.” Adjust schedule frequency: Change how often the cleanup runs (e.g., hourly, daily).
By Matt Chong | n8n CreatorTask escalation system with Google Sheets, Gmail, Telegram & Jira automation
Description This workflow sends an instant email alert when a task in a Google Sheet is marked as Urgent, and then sends a Telegram reminder notification after 2 hours if the task still hasn’t been updated. Then a Jira ticket is created so the task enters in the formal workflow and another Telegram message is sent with the details of the issue created. It helps teams avoid missed deadlines and ensures urgent tasks get attention — without requiring anyone to refresh or monitor the sheet manually. Context In shared task lists, urgent items can be overlooked if team members aren't actively checking the spreadsheet. This workflow solves that by: Sending an email as soon as a task becomes Urgent Waiting 2 hours Checking if the task is still open Sending a Telegram reminder only if action has not been taken Creating a Jira issue Sending a Telegram message with the details of the issue created This prevents both silence and spam, creating a smart and reliable alert system. Target Users Project Managers using Google Sheets Team leads managing shared task boards Remote teams needing lightweight coordination Anyone who wants escalation notifications without complex systems Technical Requirements Google Sheets credential Gmail credential Telegram Bot + Chat ID Google Sheet with a column named Priority Jira credential Workflow Steps Trigger: Google Sheets Trigger (on update in the “Priority” column) IF Node – Checks if Priority = Urgent Send Email – Sends alert email with task name, owner, status, deadline Mark Notified = Yes in the sheet Wait 2 hours IF Status is still not resolved Send Telegram reminder create an Issue on Jira based on the information provided Send Telegram message with the details of the ticket Key Features Real-time alerts on critical tasks Simple logic (no code required) Custom email body with dynamic fields Works on any Google Sheet with a “Priority” column Telegram notification ensures the task doesn’t get forgotten Expected Output Personalized email alert when a task is marked as "Urgent" Email includes task info: title, owner, deadline, status, next step Telegram message after 2 hours if the task is still open Automatic creation of a Jira issue with the higgest priority Telegram message to notify about the new Jira ticket How it works Trigger: Watches for “Priority” updates 🔍 Check: If Priority = Urgent AND Notified is empty 📧 Email: Sends a personalized alert ✏️ Sheet Update: Marks the task as already notified ⏳ Wait: 2-hour delay 🤖 Check Again: If Status hasn’t changed → send Telegram reminder, create Jira ticket and send the details. Tutorial video: Watch the Youtube Tutorial video About me : I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin
By Yassin Zehar