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3,557 ready-made workflow files you can download, plus 10,661 source-linked n8n references.
Generate YouTube Video Summaries with SearchAPI Transcripts and LLM
🎥 Summarize YouTube Videos using SearchApi & LLM Who is this for? This workflow is ideal for content creators, students, digital marketers, educators, and researchers who want to quickly summarize YouTube videos. What problem does this workflow solve? Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using SearchApi.io and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing. What this workflow does Fetches the complete transcript of a YouTube video using SearchApi. Combines the retrieved transcript into a single, continuous text. Utilizes a Summarization Chain with an LLM (e.g., OpenRouter models) to create a concise summary of the video content. Setup Install the SearchApi community node: Open Settings → Community Nodes inside your self‑hosted n8n instance. Fill npm Package Name with @searchapi/n8n-nodes-searchapi. Accept the risk prompt, and hit Install. It should now appear as a
🧹 Archive (delete) duplicate items from a Notion database
🧑💼 Who is this for? If you’re using Notion to manage a database (like saving links, tasks, notes, or anything really), and it’s starting to get messy with duplicate entries, this workflow is for you. It’s especially useful if you want to keep things tidy without doing any manual cleanup. 🧠 What problem is this workflow solving? Notion doesn’t have a built-in way to find or remove duplicates, so you either clean them up manually 😩 or just let them pile up. This workflow automatically finds entries that share the same property (like a URL or title) and archives the extra copies, keeping just one. ⚙️ What this workflow does Pulls all pages from a Notion database. Identifies duplicates based on a property you choose. Archives the duplicate pages (which is like soft-deleting them). Keeps one version of each duplicate group. It includes two optional triggers: Run it every day ⏰ Or trigger it automatically when a new page is added to the database ⚡ 🛠️ Setup Connect your Notion account in n8n. Select your database in the Notion nodes. In the “Format items properly” node, replace "SET YOUR PROPERTY HERE" with a reference to the property you want to use for detecting duplicates. I reco
Auto-Post Breaking News Content Using Perplexity AI to X (Twitter)
Stay ahead of the curve and keep your followers informed—automatically. This n8n workflow uses Perplexity AI to generate insightful answers to scheduled queries, then auto-posts the responses directly to X (Twitter). ⚙️ What this workflow does Scheduled Trigger – Runs at set times (daily, hourly, etc.). searchQuery – Define what kind of trending or relevant insight you want (e.g. “latest AI trends”). set API Key – Securely insert your Perplexity API key. Perplexity API Call – Fetches a short, insightful response to your query. Post to X – Automatically publishes the result as a tweet. 🧩 Requirements An n8n account (self-hosted or cloud) A Perplexity API key A connected X (Twitter) account via n8n’s credentials ✅ Setup Steps Add this workflow into your n8n account. Edit the searchQuery node with a topic (e.g. “What’s new in ecommerce automation?”). Paste your Perplexity API key into the set API key node. Connect your X (Twitter) account in the final node. Adjust the schedule timing to suit your content frequency. 💡 Ideas to Improve 💬 Add a formatting step to shorten or hashtag the response. 📊 Pull multiple trending questions and auto-schedule posts. 🔁 Loop responses to queue a
Dynamically switch between LLMs for AI Agents using LangChain Code
Dynamically switch between LLMs for AI Agents using LangChain Code Purpose This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them. What it does This AI workflow takes in customer complaints and generates a response that is being validated before returned. If the answer was not satisfactory, the response will be generated again with a more capable model. How it works A LangChain Code Node allows multiple LLMs to be connected to a single Basic LLM Chain. On every call only one LLM is actually being connected to the Basic LLM Chain, which is determined by the index defined in a previous Node. The AI output is later validated by a Sentiment Analysis Node If the result was not satisfactory, it loops back to the beginning and executes the same query with the next available LLM The loop ends either when the result passed the requirements or when all LLMs have been used before. Setup Clone the workflow and select the belonging credentials. You'll need an OpenAI Account, alternatively you can swap the LLM nodes with ones from a different provider like Anthropic after the import. H
Sync New Shopify Products to Odoo Products
Seamlessly sync newly created Shopify products into Odoo with this smart, no-code n8n workflow. Automatically checks for duplicates and creates new products only when needed – fully compatible with standard Odoo setup. 🚀 Key Features: Trigger-based Automation: Starts instantly when a new product is created in Shopify Duplicate Check: Searches for an existing product in Odoo using Shopify’s product SKU as the Internal Reference (Default Code) Smart Condition Logic: If a matching product is found, the workflow stops – preventing duplicates If not found, a new product is created in Odoo Auto-Creation of Odoo Product using Shopify data: Product Name Description Price Internal Reference (SKU) Works with both Odoo Community and Enterprise editions Fully customizable and extendable in n8n No coding, no custom modules required 🛠 Requirements: n8n (self-hosted or cloud) Shopify API access Odoo instance with standard API access 💡 A perfect solution for businesses that regularly add new products to Shopify and want them mirrored in Odoo – automatically and without manual effort. +++++++++++++++++++++++++++++++++++++++++ Workflow functions like the integration of a Shopify product with an O
Sync New Shopify Customers to Odoo Contacts
This workflow functions by integrating Shopify customers into Odoo customers. Trigger: Shopify – New Customer Created The workflow starts when a new customer is added in Shopify. Action: Odoo – Search Contact by Email It checks in Odoo to see if a contact already exists with the same email address as the Shopify customer. Condition: Email Match Check If a contact with the same email is found, the workflow ends (no duplicate contact is created). If no match is found, the workflow proceeds to the next step. Action: Odoo – Create New Contact A new contact is created in Odoo using the customer's: Full name Email address Phone number Full Address (whichever is available)
CWMulti-Platform Social Media Publisher with Blotato, GPT-4 Mini & Airtable
How it works • Automates multi-platform social media posting (Instagram, YouTube, TikTok, etc.) using AI-generated content • Integrates Airtable, n8n, and Blotato for full content scheduling and publishing • Supports both image and video uploads with dynamic text and account routing Set up steps • Takes ~15–30 minutes to set up depending on how many platforms you connect • Requires Airtable personal access token and Blotato API key • Uses sticky notes throughout the workflow to explain config, tokens, and troubleshooting clearly
WUpload & Rename Videos to Google Drive via Apps Script from URL
📄 Google Script Workflow: Upload File from URL to Google Drive (via n8n) 🔧 Purpose: This lightweight Google Apps Script acts as a server endpoint that receives a file URL (from n8n), downloads the file, uploads it to your specified Google Drive folder, and responds with the file’s metadata (like Drive file ID and URL). This is useful for large video/audio files that n8n cannot handle directly via HTTP Download nodes. 🚀 Setup Steps: 1. Create a New Script Project Go to https://script.google.com Click “New Project” Rename the project to something like: DriveUploader 2. Paste the Script Code Replace the default Code.gs content with the following (your custom script): function doPost(e) { const SECRET_KEY = 'your-strong-secret-here'; // Set your secret key here try { const data = JSON.parse(e.postData.contents); // 🔒 Check for correct secret key if (!data.secret || data.secret !== SECRET_KEY) { return ContentService.createTextOutput("Unauthorized") .setMimeType(ContentService.MimeType.TEXT); } const videoUrl = data.videoUrl; const folderId = 'YOUR_FOLDER_ID_HERE'; // Replace with your target folder ID const folder = DriveApp.getFolderById(folderId); const response = UrlFetchApp.fet
Standardize US Phone Numbers with Multiple Format Options and Validation
Workflow Overview: This n8n workflow template takes a US phone number as input, validates it, and returns it in multiple standard formats, including handling extensions. It's designed to streamline the process of standardizing phone number data within your automations. How it Works: Input: Accepts a phone number string as input. This number can be in various common formats (e.g., (555) 123-4567, 555.123.4567, +15551234567, 5551234567x890). Formatting Removal: Strips all non-numeric characters to isolate the core number and any potential extension. Validation: Country Code Check:** Verifies if the number starts with the US country code (+1 or 1) or assumes US if no country code is present and the length is correct. Length Check:** Ensures the main number component consists of exactly 10 digits after stripping formatting and the country code. Output Generation (if valid): If the number passes validation, the workflow outputs the phone number in several standardized formats: Number Only:** 5551234567 E.164 Standard:** +15551234567 National Standard:** (555) 123-4567 Full National Standard:** 1 (555) 123-4567 International Standard:** 00-1-555-123-4567 Extension Handling: If an extensi
Generate SEO Content Audit Reports with DataForSEO and Google Search Console
Introduction The Content SEO Audit Workflow is a powerful automated solution that generates comprehensive SEO audit reports for websites. By combining the crawling capabilities of DataForSEO with the search performance metrics from Google Search Console, this workflow delivers actionable insights into content quality, technical SEO issues, and performance optimization opportunities. The workflow crawls up to 1,000 pages of a website, analyzes various SEO factors including metadata, content quality, internal linking, and search performance, and then generates a professional, branded HTML report that can be shared directly with clients. The entire process is automated, transforming what would typically be hours of manual analysis into a streamlined workflow that produces consistent, thorough results. This workflow bridges the gap between technical SEO auditing and practical, client-ready deliverables, making it an invaluable tool for SEO professionals and digital marketing agencies. Who is this for? This workflow is designed for SEO consultants, digital marketing agencies, and content strategists who need to perform comprehensive content audits for clients or their own websites. It's
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YouTube to WhatsApp Sales Automation with WordPress, FluentCRM and Whinta
🚀 WhatsApp Automation Template Designed & Developed by Infridet Solutions Private Limited 🔧 Objective: Automate your lead nurturing and sales process from YouTube/Instagram → Landing Page → CRM → Email → WhatsApp → Sales → Deal Closure using tools like: 🌐 WordPress (Landing Page + Fluent Forms) 🧾 Google Sheets (Backup Log) 📩 FluentCRM (Lead Tagging + Email Sequences) 💬 Whinta.com (WhatsApp Messaging API) ⚙️ N8N (Workflow Automation Engine) 🧩 System Flow Overview: Lead Source: YouTube or Instagram CTA Landing Page: Built on WordPress with a story-driven design Form Capture: Fluent Forms with dynamic input fields Data Sync: Backup to Google Sheets Push lead to FluentCRM and tag as New Lead Email Sequence: Warm-up emails (1 to 5) Introduce offer or service WhatsApp Outreach: Send personalized message via Whinta Triggered 1 hour after form fill or last email Sales Follow-Up: Sales team handles replies manually CRM tag updated to Customer upon closing 📁 Folder Structure (Optional Git/Zip File): 📦 WhatsApp-Automation-Infridet/ │ ├── whatsapp-automation-n8n.json # N8N Flowchart Import File ├── email-templates.docx # Warm-up Email Scripts ├── whinta-api-integration.pdf # API Docum
WTrack Amazon Product Prices with ScrapeOps API & Google Sheets Alerts
Amazon Product Price Tracker This workflow automatically monitors Amazon product prices, tracks price changes, and sends alerts when significant price fluctuations occur. Built with ScrapeOps' structured data API, it provides a reliable, maintenance-free solution for price tracking without worrying about anti-bot measures or complex selectors. What This Workflow Does Monitors multiple Amazon products simultaneously using their ASINs Calculates both absolute and percentage price changes Sends customizable email alerts when prices cross defined thresholds Maintains a historical record of all price data for trend analysis Updates a Google Sheets with the latest price information Prerequisites A ScrapeOps API key (register at https://scrapeops.io) Google account for Google Sheets integration SMTP email configuration for alerts Setup Instructions Spreadsheet Setup Make a copy of the template spreadsheet: https://docs.google.com/spreadsheets/d/1hRv-TBXrpN6rkIU65WorttNHt-IPWas_An0sF4Of39U Add your Amazon product ASINs in the "Products to Monitor" sheet Set your desired alert thresholds for price increases/decreases Workflow Configuration Add your ScrapeOps API key to the "Setup" node Upda
Connect Retell Voice Agents to Custom Functions
Overview This workflow allows you to trigger custom logic in n8n directly from Retell's Voice Agent using Custom Functions. It captures a POST webhook from Retell every time a Voice Agent reaches a Custom Function node. You can plug in any logic—call an external API, book a meeting, update a CRM, or even return a dynamic response back to the agent. Who is it for For builders using Retell who want to extend Voice Agent functionality with real-time custom workflows or AI-generated responses. Prerequisites Have a Retell AI Account A Retell agent with a Custom Function node in its conversation flow (see template below) Set your n8n webhook URL in the Custom Function configuration (see "How to use it" below) (Optional) Familiarity with Retell's Custom Function docs Start a conversation with the agent (text or voice) Retell Agent Example To get you started, we've prepared a Retell Agent ready to be imported, that includes the call to this template. Import the agent to your Retell workspace (top-right button on your agent's page) You will need to modify the function URL in order to call your own instance. This template is a simple hotel agent that calls the custom function to confirm a bo
WAutomated PR Code Reviews with GitHub, GPT-4, and Google Sheets Best Practices
AI-Agent Code Review for GitHub Pull Requests Description: This n8n workflow automates the process of reviewing code changes in GitHub pull requests using an OpenAI-powered agent. It connects your GitHub repo, extracts modified files, analyzes diffs, and uses an AI agent to generate a code review based on your internal code best practices (fed from a Google Sheet). It ends by posting the review as a comment on the PR and tagging it with a visual label like ✅ Reviewed by AI. 🔧 What It Does Triggered on PR creation Extracts code diffs from the PR Formats and feeds them into an OpenAI prompt Enriches the prompt using a Google Sheet of Swift best practices Posts an AI-generated review as a comment on the PR Applies a PR label to visually mark reviewed PRs ✅ Prerequisites Before deploying this workflow, ensure you have the following: n8n Instance (Self-hosted or Cloud) GitHub Repository with PR activity OpenAI API Key** for GPT-4o, GPT-4-turbo, or GPT-3.5 GitHub OAuth App** (or PAT) connected to n8n to post comments and access PR diffs (Optional) Google Sheets API credentials if using the code best practices lookup node. ⚙️ Setup Instructions 1. Import the Workflow in n8n, click on Wor
Create a Session-Based Telegram Chatbot with GPT-4o-mini and Google Sheets
How It Works This workflow creates an AI-powered Telegram chatbot with session management, allowing users to: Start new conversations** (/new). Check current sessions** (/current). Resume past sessions** (/resume). Get summaries** (/summary). Ask questions** (/question). Key Components: Session Management**: Uses Google Sheets to track active/expired sessions (storing SESSION IDs and STATE). /new creates a session; /resume reactivates past ones. AI Processing**: OpenAI GPT-4 generates responses with contextual memory (via Simple Memory node). Summarization: Condenses past conversations when requested. Data Logging**: All interactions (prompts/responses) are saved to Google Sheets for audit and retrieval. User Interaction**: Telegram commands trigger specific actions (e.g., /question [query] fetches answers from session history). Main Advantages 1. Multi-session Handling Each user can create, manage, and switch between multiple sessions independently, perfect for organizing different conversations without confusion. 2. Persistent Memory Conversations are stored in Google Sheets, ensuring that chat history and session states are preserved even if the server or n8n instance restarts.
Check Tron Wallet USDT Blacklist Status via Telegram
Description This n8n workflow template allows users to check if a Tron wallet address is blacklisted on the USDT contract via a Telegram bot. When a user sends the command {walletAddress} through the Telegram bot, the workflow queries the Tronscan API to determine if the provided wallet address is blacklisted. The result is then sent back to the user via the Telegram bot. Detailed Description Workflow Overview This workflow is designed to interact with users through a Telegram bot and check if a given Tron wallet address is blacklisted on the USDT contract. The workflow consists of four main nodes: Telegram Trigger Node: Listens for messages from the Telegram bot. HTTP Request Node: Sends a GET request to the Tronscan API to check the blacklist status of the provided wallet address. Function Node: Processes the API response and formats the message to be sent back to the user. Telegram Send Message Node: Sends the formatted message back to the user via the Telegram bot. Nodes Configuration 1.Telegram Trigger Node Event: Message Update Types: Message Command: /sorgu Description: This node listens for the {walletAddress} command followed by a wallet address from the user. 2.HTTP Reque
WAuto-Generate Meeting Attendee Research with GPT-4o, Google Calendar, and Gmail
How it works: Whenever a new event is scheduled on your Google Calendar, this workflow generates a Meeting Briefing email, giving an overview of each person on the call and the company they work for. It makes use of the web search tool on the OpenAI Responses API to make lookups. The workflow triggers when a new event is added to the calendar, loops over each attendee, generating reports on each person and their company, collates the results, and sends the briefing as an email. Set up steps: Add your credentials for Google Calendar (for viewing events) and Gmail (to send the email) Add your OpenAI credentials as a Header Auth on the Company Search and Person Search nodes. Name: Authorization Value: Bearer {{ YOUR_API_KEY }} Edit the "Edit Fields" node with the email that you want to send the briefing to, and a short bit of context about yourself.
Optimize Amazon Ads with GPT-4o for Bid, Budget & Keyword Recommendations
Overview This template is designed for Amazon sellers and advertisers who want to automate their campaign performance analysis and bidding strategy. It solves the common challenge of manually reviewing Sponsored Products reports and guessing how to adjust keywords, placements, and budgets. By combining Amazon Advertising reports with OpenAI's GPT-4o, this workflow delivers real-time, personalized optimization instructions — automatically. Features 📥 Automatically downloads Sponsored Products reports from Google Drive 🧠 Uses AI to analyze campaign, keyword, placement, targeting, and budget performance 📊 Supports both .csv and .xlsx report formats 🔁 Handles multiple ASINs and scales easily across ad accounts 📧 Sends structured optimization recommendations to your inbox via Gmail 🗂 Built-in logic to normalize filenames and correctly map reports 🧹 Includes error handling and formatting cleanup for AI-ready input Requirements To use this workflow, you’ll need: An Amazon Ads account with access to Sponsored Products reports A Google Drive folder where Amazon Ads reports are delivered (manually or via Gmail automation) A Gmail account (for sending summaries) An OpenAI API key with
WGenerate & Enrich LinkedIn Leads with Apollo.io, LinkedIn API, Mail.so & GPT-3.5
Note: Now includes an Apify alternative for Rapid API (Some users can't create new accounts on Rapid API, so I have added an alternative for you. But immediately you are able to get access to Rapid API, please use that option, it returns more detailed data). *Scroll to bottom for APify setup guide* This n8n workflow automates LinkedIn lead generation, enrichment, and activity analysis using Apollo.io, RapidAPI, Google Sheets and Mail.so. Perfect for sales teams, founders, B2B marketers, and cold outreach pros who want personalized lead insights to drive better conversion rates. ⚙️ How This Workflow Works The workflow is broken down into several key steps, each designed to help you build and enrich a valuable list of LinkedIn leads: 1. 🔑 Lead Discovery (Keyword Search via Apollo) Pulls leads using Apollo.io's API based on keywords, industries, or job titles. Saves lead name, title, company, and LinkedIn URL to your Google Sheet. You can replace the trigger node from the form node to a webhook, whatsapp, telegram, etc, any way for you to send over your query variables over to initiate the workflow. 2. 🧠 Username Extraction (from LinkedIn URL) Extracts the LinkedIn username from pro
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Automated Stock Analysis Reports with Technical & News Sentiment using GPT-4o
Stock Analysis Agent (Hebrew, RTL, GPT-4o) Overview Get comprehensive stock analysis with this AI-powered workflow that provides actionable insights for your investment decisions. On a weekly basis, this workflow: Analyzes stock data from multiple sources (Chart-img, Twelve Data API, Alphavantage) Performs technical analysis using advanced indicators (RSI, MACD, Bollinger Bands, Resistance and Support Levels) Scans financial news from Alpha Vantage to capture market sentiment Uses OpenAI's GPT-4o to identify patterns, trends, and trading opportunities Generates a fully styled, responsive HTML email (with proper RTL layout) in Hebrew Sends detailed recommendations directly to your inbox Perfect for investors, traders, and financial analysts who want data-driven stock insights - combining technical indicators with news sentiment for more informed decisions. Setup Instructions Estimated setup time: 15 minutes Required credentials: OpenAI API Key Chart-img API Key (free tier) Twelve Data API Key (free tier) Alpha Vantage API Key (free tier) SMTP credentials (for email delivery) Steps: Import this template into your n8n instance. Add your API keys under credentials. Configure the SMTP E
Automated Workflow Backup System with Google Drive, Gmail and Discord Alerts'
How it works This workflow automates the backup of all your n8n workflows to a specified Google Drive folder. It operates in two main phases: Orchestration (Scheduled Task): The workflow is initiated by a Schedule Trigger (e.g., daily at 1:30 AM by default). It then uses an n8n API Node to fetch a list of all existing workflows in your n8n instance. A Loop Over Items node processes each fetched workflow individually. For every workflow in the list, an Execute Workflow node calls the "worker" part of this same workflow, passing the individual workflow's data. Individual Workflow Backup (Worker Task): This part is triggered by the When Executed by Another Workflow node (called by the orchestrator part). It first retrieves the passed workflow data. A Parameters node defines the target Google Drive directory. The Get Google Drive File Data node searches the specified Google Drive folder to see if a backup file for the current workflow (named as WorkflowName_WorkflowID.json) already exists. An IF Node (ifDriveEmpty) checks the result: If a backup file exists, the workflow data is converted to a binary JSON file using a Code Node, and then the existing file on Google Drive is updated (Ba
WCSV to HubSpot Uploader with Dynamic Field Mapping and Google Sheets Integration
Who is this for? This n8n workflow is designed for Customer Success Managers (CSM), marketers, sales teams, and data administrators who need to automate the process of uploading and processing CSV data in HubSpot. It is ideal for users who regularly import contact lists, update CRM records, or sync data between systems. What problem does this workflow solve? Manually uploading and processing CSV files in HubSpot can be time-consuming and error-prone, especially when dealing with large datasets or complex field mappings. This workflow automates data validation, indexing, and field mapping, reducing manual effort and ensuring data consistency. What this workflow does Generating the list of the fields directly from Hubspot API Indexing: Organizes and prepares CSV data for HubSpot import. Data Processing: Cleanses and transforms data. Field Mapping: Maps CSV columns to HubSpot fields dynamically. Import Execution: Uploads processed data to HubSpot Setup Prerequisites: HubSpot API credentials (Private App token). Google sheets credentials. n8n instance (cloud or self-hosted). Installation: Import the workflow JSON into n8n. Configure the HubSpot nodes and the Google Sheets nodes with yo
Assign Requests Using AI and Send Reminders Based On NocoDB Kanban Board Status
Who is it for? This is automation for support project manager, which helps not only to keep developres informed but also automatically keep clients in the loop - especially useful if you are managing SLA-like agreement. It is actually simple incident management board using free Kanban board, that is extended in functionality via N8N. How It Works? Script has two entry points. The first one is incident form. When incident details are provided, automation gets incident definitions from database and pushes both information to AI. AI comparse definitions with client request, refines incident priority and pushed it in NocoDB database. Second is schedule trigger, which is responsible for regular notificaitons on task status. If task is not picked up or delivered in proper time, then emails or slack messages are being sent both to client and responsible developer. How to set up? Clone automation Create (samples below) two NocoDB tables: one with definitions and second that servers as Kanban board (mind column naming!) Set up email and slack connection You should be ready to go Different incident naming If your incident level naming is different, you need to update few nodes and few column
SEnhance Chat Responses with Real-Time Search via Bright Data MCP & Gemini AI
Disclaimer This template is only available on n8n self-hosted as it's making use of the community node for MCP Client. Who this is for? The Chat Conversations with Bright Data MCP Search Engines & Google Gemini workflow is designed for users who need real-time, AI-enhanced conversations powered by live search engine results. This workflow is tailored for: Data Analysts - Who want live, search-based data fused with AI reasoning. Marketing Researchers - Seeking up-to-the-minute market or competitor insights via conversational AI. Product Managers - Exploring user needs, market trends, and competitor analysis in real time. AI Developers - Building dynamic applications that combine live search data with intelligent conversation agents. Growth Hackers - Who need fast, conversational research tools for campaign ideation, outreach, or content creation. What problem is this workflow solving? Traditional chatbots and AI systems often rely on static, outdated data. This workflow enables AI agents to fetch live search engine data and converse intelligently about it, making interactions dynamic, accurate, and highly contextual. This workflow solves the major gaps of: Outdated Knowledge: Regul