Workflow Templates

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.

N8n OpenAI-Compatible API Endpoints Transform your n8n workflows into OpenAI-compatible API endpoints, allowing you to access multiple workflows as selectable AI models through a single integration. What This Does This workflow creates two API endpoints that mimic the OpenAI API structure: /models - Lists all n8n workflows tagged with aimodel (or any other tag of your choice) /chat/completions - Executes chat completions with your selected workflows, supporting both text and stream responses Benefits Access Multiple Workflows: Connect to all your n8n agents through one API endpoint instead of creating separate pipelines for each workflow. Universal Platform Support: Works with any application that supports OpenAI-compatible APIs, including OpenWebUI, Microsoft Teams, Zoho Cliq, and Slack. Simple Workflow Management: Add new workflows by tagging them with aimodel . No code changes needed. Streaming Support: Handles both standard responses and streaming for real-time agent interactions . How to Use Download the workflow JSON file from this repository Import it into your n8n instance Tag your workflows with aimodel to make them accessible through the API Create a new OpenAI credential in n8n and change the Base URL to point to your n8n webhook endpoints . Learn more about OpenAI Credentials Point your chat applications to your n8n webhook URL as if it were an OpenAI API endpoint Requirements n8n instance (self-hosted or cloud) Workflows you want to expose as AI models Any OpenAI-compatible chat application Documentation For detailed setup instructions and implementation guide, visit https://medium.com/@deleodufuye/how-to-create-openai-compatible-api-endpoints-for-multiple-n8n-workflows-803987f15e24. Inspiration This approach was inspired by Jimleuk’s workflow on n8n Templates.

Who's it for This workflow is perfect for app developers, SaaS founders, and mobile growth teams who need constant UGC-style video ads without hiring creators or agencies. If you're spending $500+ per creator and waiting weeks for videos, this automates the entire process for $2-5 per video in 8 minutes. How it works Upload an app screen recording, and this n8n workflow handles everything: Gemini AI analyzes the recording and generates a UGC ad structure (hook, problem, solution, CTA with word limits). It describes the ideal actor, emotional journey, and visual style. Sora 2 then generates a hyper-realistic AI actor delivering the script naturally. VideoBGRemover removes the actor's background and composites them picture-in-picture over your screen recording with audio mixing. The result is a scroll-stopping UGC ad ready for TikTok, Instagram, and Facebook. Set up steps Setup takes ~10 minutes and requires 3 API keys: Get your Gemini API key from Google AI Studio Get your FAL AI key for Sora 2 access Get your VideoBGRemover API key at https://videobgremover.com/n8n Add all three keys to n8n environment variables Connect Google Drive for output storage Test with the included sample screen recording The workflow includes 7 detailed sticky notes explaining each section (Gemini analysis, Sora generation, VideoBGRemover composition, output handling). Requirements Google Gemini API key (for video analysis) FAL AI API key (for Sora 2 access) VideoBGRemover API key Google Drive account (for final video storage) App screen recordings in vertical format (9:16 recommended, 4-12 seconds) How to customize Modify the Gemini prompt to adjust ad tone, script word limits, or actor descriptions. Change composition settings in the VideoBGRemover node (position, size, audio mix). Add your own post-processing nodes for branding, captions, or multi-platform exports.

This workflow automates the process of generating personalized UGC (User-Generated Content) images based on form submissions. It accepts a form with a character type (e.g., male/female) and an uploaded image, merges them, sends them to an AI model (Google Gemini via OpenRouter) for creative generation, and posts the resulting content as a Telegram photo message. Who’s it for This automation template is designed for marketers, AI creators, content teams, or interactive community platforms that want to let users submit content (image + character type), enrich it with AI-generated descriptions, and instantly publish results to Telegram — without writing a single line of code. How it works Trigger: Workflow starts when a form is submitted by a user. Extract file: The uploaded image file is converted to a Base64 string. Merge data: The character type and image data are combined into one payload. Format to Data URL: The image is wrapped as a proper data:image/... format for API use. Prepare payload: The text and image are mapped into a structure compatible with Gemini API. Generate AI content: Sends the input to Google Gemini (via OpenRouter) to generate a UGC description. Transform response: Cleans and extracts the result from Gemini’s response. Convert back to file: Transforms the Base64 image back into a real image file. Send to Telegram: The image and its AI-generated description are sent as a photo message to your Telegram channel. How to use Set up a form with a dropdown for character type (e.g., Male/Female) and an image upload field. Configure the Gemini API access through OpenRouter. Connect your Telegram bot and channel to receive the final result. Start the workflow → users submit the form, and their data is processed and shared as AI-enhanced UGC. Requirements OpenRouter API key to access Google Gemini. A Telegram Bot connected to your Telegram channel. ❓ Need help Contact me for consulting and support: LinkedIn / YouTube / Skool

Tags: Logistics, Supply Chain, Warehouse Operations, Paperless processes, Quality Management Context Hi! I’m Samir — Supply Chain Engineer, Data Scientist based in Paris, and founder of LogiGreen. > Let us use n8n to help small companies digitalise their logistics and supply chain! This workflow helps warehouse operators generate a complete damage report without needing to write anything manually. In warehouse operations, damaged pallets must be reported quickly and consistently. You can automate the entire process using AI to analyse photos of the damages. 📬 For business inquiries, you can find me on LinkedIn Example of damage report The process starts with instructions sent with the operator: A photo of the damaged pallets is shared with the bot: A complete report is generated and sent by email: 🎥 Tutorial A complete tutorial (with explanations of every node) is available on YouTube: Who is this template for? This template is ideal for companies with limited IT ressources: Warehouse operators** who need a fast reporting tool Quality teams** who want consistent and structured reports 3PLs and logistics providers** looking to digitalise damage claims Manufacturers and retailers** with high inbound pallet volumes Anyone using Telegram** on the warehouse floor for quick interactions What does this workflow do? This workflow acts as an AI-powered damaged goods reporting assistant using Telegram, OpenAI Vision and Gmail. A operator sends a picture of the damaged pallet via Telegram. The workflow downloads the image and sends it to GPT-4o for damage analysis. The bot replies and asks for a photo of the pallet barcode. The barcode picture is processed by GPT-4o Mini to extract the pallet number. The workflow combines both results (damage analysis + pallet ID). It generates an HTML email report with: damage summary, observed issues, severity level and recommended actions The report is automatically sent via Gmail to the configured recipient. The operator receives a confirmation message in Telegram. The processes does not require any data input form the operator, only to take pictures! Next Steps Before running the workflow, follow the sticky notes and configure: Connect your Telegram Bot API Add your OpenAI API Key in the AI nodes Connect your Gmail credentials Update the recipient email in the “Send Report by Email” node Submitted: 20 November 2025 Template designed with n8n version 1.116.2

Product Hunt Launch Monitor - Scraping & Summarization of Product Hunt Feedbacks This n8n template provides automated competitive intelligence by scraping and summarizing Product Hunt launch feedback with a specialized AI analyst. This workflow is essential for product managers, marketing teams, and founders who need to quickly gather and distill actionable insights from competitor launches to inform their own product strategy and positioning. 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 can be triggered manually but is designed to be easily switched to a Schedule Trigger for continuous competitive monitoring. A Google Sheet node fetches a list of product names you wish to monitor, which the workflow processes in a loop. A BrowserAct node then initiates a web scraping task to collect all the public comments from the specified Product Hunt launch page. An AI Agent, powered by Google Gemini, acts as a competitive intelligence analyst, processing the raw comments. The AI distills the feedback into a structured format, providing a concise Summary, pinpointing key Positive and Negative feedback, and generating Recommendations for a similar product to be successful. The structured analysis is saved to a Google Sheet for easy review and tracking. Finally, a Slack notification confirms that the Product Hunt results have been processed and updated. Requirements BrowserAct** API account for web scraping BrowserAct* "Product Hunt Launch Monitor*" Template BrowserAct** n8n Community Node -> (n8n Nodes BrowserAct) Gemini** account for the AI Agent Google Sheets** credentials for input and saving the analysis 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 Workflow Guidance and Showcase Steal Your Competitor's Weaknesses (Product Hunt + BrowserAct + n8n)

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

Overview This workflow helps you automatically collect verified business leads from Google Search using SerpAPI — no coding required. It extracts company names, websites, emails, and phone numbers directly from search results and saves them into Google Sheets for easy follow-up or CRM import. Perfect for marketers, freelancers, and agencies who want real, usable leads fast — without manual scraping or paid databases. How It Works SerpAPI Node performs a Google search for your chosen keyword or niche. Split Out Node separates each result for individual processing. HTTP Request Node optionally visits each site for deeper data extraction. Code Node filters, validates, and formats leads using smart parsing logic. Google Sheets Node stores the final structured data automatically. All steps include sticky notes with configuration help. Setup Steps Setup takes about 5–10 minutes: Add your SerpAPI key (replace the placeholder). Connect your Google Sheets account. Update the search term (e.g., “Plumbers in New York”). Run the workflow and watch leads populate your sheet in real time.

Who is this for This template is designed for e-commerce businesses, customer support teams, and marketing professionals who need to monitor and analyze customer reviews at scale. It's especially useful for teams dealing with multilingual reviews (Japanese to English) and those who want instant alerts for critical feedback. What it does This workflow automatically processes customer reviews stored in Google Sheets using OpenAI GPT. For each review, it performs: Translation** from Japanese to English Sentiment analysis** with a score from -1.0 to +1.0 Importance classification** (High/Medium/Low) based on urgency Category tagging** (Quality, Price, Shipping, Support, Features, Usability, Other) Key phrase extraction** for quick summary Results are written back to the spreadsheet, and Telegram notifications are sent based on priority level. How to set up Connect your Google Sheets account and select your review spreadsheet Configure OpenAI API credentials Set up Telegram Bot and enter your Chat ID in both notification nodes Adjust the schedule trigger interval as needed Requirements Google Sheets with columns: ReviewID, Keyword (review text), ProcessStatus OpenAI API key Telegram Bot Token and Chat ID How to customize Modify the AI prompt in "AI Agent - Review Analysis" to change analysis criteria or add new fields Adjust the sentiment threshold (-0.5) in "Check Importance & Sentiment" node Customize notification messages in Telegram nodes Change the source/target language by editing the prompt

Real-Time MAP Enforcement & Price Violation Alerts using BrowserAct & slack This n8n template automates MAP (Minimum Advertised Price) enforcement by monitoring reseller websites and alerting you instantly to price violations and stock issues. This workflow is essential for brand owners, manufacturers, and compliance teams who need to proactively monitor their distribution channels and enforce pricing policies. How it works The workflow runs on a Schedule Trigger (e.g., hourly) to continuously monitor product prices. A Google Sheets node fetches your list of resellers, product URLs, and the official MAP price (AP_Price). The Loop Over Items node ensures that each reseller's product is checked individually. A pair of BrowserAct nodes navigate to the reseller's product page and reliably scrape the current live price. A series of If nodes check for violations: The first check (If1) looks for "NoData," signaling that the product is Out of Stock, and sends a specific Slack alert. The second check (If) compares the scraped price to your MAP price, triggering a detailed Slack alert if a MAP violation is found. The workflow loops back to check the next reseller on the list. Requirements BrowserAct** API account for web scraping BrowserAct* "MAP (Minimum Advertised Price) Violation Alerts*" Template BrowserAct** n8n Community Node -> (n8n Nodes BrowserAct) Google Sheets** credentials for your price list Slack** credentials for sending alerts 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 Workflow Guidance and Showcase I Built a Bot to Catch MAP Violators (n8n + BrowserAct Workflow)

Automated E-commerce Store Monitoring for New Products Using BrowserAct This n8n template is an advanced competitive intelligence tool that automatically monitors competitor E-commerce/Shopify stores and alerts you the moment they launch a new product. This workflow is essential for e-commerce store owners, product strategists, and marketing teams who need real-time insight into what their competitors are selling. 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 runs on a Schedule Trigger to check for new products automatically (e.g., daily). A Google Sheets node fetches your master list of competitor store links from a central sheet. The workflow loops through each competitor one by one. For each competitor, a Google Sheets node first creates a dedicated tracking sheet (if one doesn't exist) to store their product list history. A BrowserAct node then scrapes the competitor's current product list from their live website. The scraped data is saved to the competitor's dedicated tracking sheet. The workflow then fetches the newly scraped list and the previously stored list of products. A custom Code node (labeled "Compare Datas") performs a difference check to reliably detect if any new products have been added. If a new product is detected, an If node triggers an immediate Slack alert to your team, providing real-time competitive insight. Requirements BrowserAct** API account for web scraping BrowserAct* "Competitors Shopify Website New Product Monitor*" Template BrowserAct** n8n Community Node -> (n8n Nodes BrowserAct) Google Sheets** credentials for storing and managing data Slack** credentials for sending alerts 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 Workflow Guidance and Showcase Automatically Track Competitor Products | n8n & Google Sheets Template

Who’s it for Teams that want to turn a chat prompt into a researched, ready-to-post social update—optionally published to Facebook. What it does / How it works Chat Trigger receives the user prompt Topic Agent optionally calls a research sub-workflow for fresh sources Outputs are validated into a structured JSON Post Writing Agent crafts a concise Vietnamese post (Optional) Facebook Graph API publishes to your Page How to set up Connect OpenAI & Facebook in Credentials (no API key inside nodes). In Tool: Call Perplexity Researcher, set your research workflowId. In Publish: Facebook Graph API, set your Page ID and edge. Adjust prompts/tone and the LANGUAGE in CONFIG. Test the flow with sample prompts in the chat. Requirements n8n (Cloud or self-hosted) OpenAI API key (stored in Credentials) Facebook Page publish permissions (Optional) a research workflow for Perplexity How to customize the workflow Add moderation/review gates before publishing. Duplicate the publish path for other platforms. Store outputs in Sheets/Notion/DB for auditing. Tune model choice & temperature for your brand voice. Security Avoid hardcoding secrets in HTTP or Code nodes. Keep identifiers (Page IDs, workflowIds) configurable in CONFIG.