Workflow Templates

Analyze brand competitors using Decodo, Gemini, Telegram, and Google Sheets Sign up for Decodo — get better pricing here Who’s it for This workflow is built for content researchers, SEO teams, marketers, educators, and analysts who want to discover and analyze Brand competitor content at scale. It’s especially useful if you need structured insights from pages based on a search query, without manually opening or reviewing each result. How it works / What it does This workflow turns a simple keyword into structured, actionable insights. It starts when a user submits a query through a form. Decodo is used as the core technology to perform a Google search and return relevant organic results. Decodo retrieves the page content, which is cleaned and converted into plain text. An AI agent powered by Gemini analyzes the content to generate clear key points and key takeaways. The extracted insights, along with the source title and link, are saved to Google Sheets for easy review and analysis. A short summary is also sent to Telegram, making it easy to monitor results in real time. How to set up Add your Decodo API credentials. Connect your Google Gemini API credentials. Connect Google Sheets OAuth. Update the target Google Sheet and worksheet. Submit a keyword to start the analysis. Requirements Decodo API account Google Gemini API credentials Google Sheets OAuth credentials n8n self-hosted instance > This workflow uses Decodo community nodes and is intended for self-hosted n8n environments. How to customize the workflow Change the Decodo search query to target different topics or niches. Limit or batch results by adjusting the split and loop logic. Modify the AI prompt to extract different insights. Replace Google Sheets with another database or workspace tool. Add filters, alerts, or scoring logic for advanced analysis.

If you want to reach a wider audience, having your video titles and descriptions in multiple languages can help you connect with more viewers. This template provides the configuration needed to generate translations and update them directly on YouTube. How it works Defines Video ID and Languages** You can get the ID from the video URL. If you’re unsure, click the Share button, it will provide the ID at between the "/" and the "?si=" Fetches video information** As long as the workflow has the video ID, it can retrieve the video information, whether the video is published or not. Check languages to translate** If no default language is set in the video details, the workflow will assume "en" (English) as the default. To overwrite the default language, replace 'en' in line 2 of the code. AI Agent Translator**: You can improve results by refining the prompt. Feel free to experiment, just don’t change the formatting structure. Updates Video Localization** The API requires to send current default version again along with the translations in the Body. Output URL** returns the URL for the video’s localization. It may take a few seconds to appear—refresh and try again if needed. ⚠ The translation will overwrite any existing translations for the same language. How to Use (First time only) Set up credentials for your user. Edit the node "Defines Video ID and Languages". Click the Execute Workflow button. Enjoy your translated video titles and descriptions! More details can be found in the sticky notes under each node. Requirements To implement this workflow, you will need to configure credentials for the following nodes: Fetch Video Information**: YouTube Auth This of course, assumes that you have a YouTube account. The account creation and setup takes time, but luckily it's the only slow part, once done, you are good to go. AI Agent Translator**: Google Gemini (PaLM) API Both credentials can be created directly inside the node by clicking it, then selecting “Create Credential to Connect With” and following the instructions provided by the n8n Assistant. If you already have the credentials, simply select them! No paid plan is required, free tiers are sufficient. Keep in mind the request limits if you extend or modify this workflow to do multiple videos at once.

Automate AI News Filtering with Keywords to Telegram This n8n template helps you stay up-to-date by automatically filtering news and sending relevant articles to Telegram using an AI Agent. This workflow is perfect for content marketers, journalists, or researchers who need to find specific articles without manually sifting through countless news feeds. Steps to Take Create BrowserAct Workflow:* Set up the *News Content Marketing Automation** template in your BrowserAct account. Add BrowserAct Token:* Connect your BrowserAct account credentials to the *HTTP Request* inside *Run Node**. Update Workflow ID:* Change the workflow_id value in the *HTTP Request* inside *Run Node** to match the one from your BrowserAct workflow. Connect Gemini:* Add your Google Gemini credentials to the *AI Agent** node. Configure Telegram:* Connect your Telegram account and add your Channel ID to the *Send a News Photo To Telegram** node. How it works The workflow is triggered automatically on a schedule, but you can also manually run it. It uses an HTTP Request node to start a web scraping task via the BrowserAct API to collect the latest news. A series of If and Wait nodes monitor the scraping job until the full data is ready. An AI Agent node, powered by Google Gemini, processes the headlines and filters the news based on a list of keywords you define. A Code node then formats the AI's output into a clean, readable format. Finally, the filtered news articles are sent as rich media messages to Telegram, including the headline, a picture, and a link. Requirements BrowserAct** API account BrowserAct* *“News Content Marketing Automation”** Template Gemini** account Telegram** credentials Need Help ? How to Find Your BrowseAct API Key & Workflow ID How to Connect n8n to Browseract How to Use & Customize BrowserAct Templates

Boost your productivity with this AI-powered email and calendar assistant: This AI-powered template has 2 workflows. It manages your Gmail inbox and Google Calendar, classifies emails with custom labels, and suggests replies and meeting times — all fully automated with OpenAI and n8n. Automatically analyze your Gmail inbox Suggest replies, priorities, and meeting times Checks your Google Calendar for conflicts and free slots Maintain conversation context using Thread History Vector Store The agent proactively acts using a Tools Agent architecture, with integrated memory and real-time tool invocation. It's perfect for busy professionals who want a personal assistant for communication and scheduling. Included features: ✅ Do actions on incoming mails 8like Labeling etc) ✅ Summarize and Assist fot the latest emails ✅ Draft replies and schedule meetings contextually ✅ Handle time zone conversion and MessageID referencing ✅ Context retention of last conversation history - using VectorStore 📦 Requirements: Gmail + Google Calendar credentials via n8n credentials OpenAI API key n8n VectorStore nodes (or external integration like Pinecone, Qdrant, or Chroma)

This workflow stores responses form responses of Typeform in Airtable. The workflow also sends the response to a channel on Slack. You will have to configure the Set node if your form uses different fields.

Edit 19/11/2024: As explained on the workflow, the AI Agent with the original system prompt was not effective when using gpt4-o-mini. To address this, I optimized the prompt to work better with this model. You can find the prompts I’ve tested on this Notion Page. And yes, there is one that works well with gpt4-o-mini. AI Agent to chat with you Search Console Data, using OpenAI and Postgres This AI Agent enables you to interact with your Search Console data through a chat interface. Each node is documented within the template, providing sufficient information for setup and usage. You will also need to configure Search Console OAuth credentials. Follow this n8n documentation to set up the OAuth credentials. Important Notes Correctly Configure Scopes for Search Console API Calls It’s essential to configure the scopes correctly in your Google Search Console API OAuth2 credentials. Incorrect configuration can cause issues with the refresh token, requiring frequent reconnections. Below is the configuration I use to avoid constant re-authentication: Of course, you'll need to add your client_id and client_secret from the Google Cloud Platform app you created to access your Search Console data. Configure Authentication for the Webhook Since the webhook will be publicly accessible, don’t forget to set up authentication. I’ve used Basic Auth, but feel free to choose the method that best meets your security requirements. 🤩💖 Example of awesome things you can do with this AI Agent

This workflow gets triggered every Friday at 6 PM with the help of a Cron node. It pulls in data about a random cocktail via the HTTP Request Node and sends the data to a Bannerbear node to create an image based on a template. The image is then finally shared on a specified Rocket.Chat channel.

This workflow allows you to add candidates’ profile assessments to Notion before an interview. Prerequisites Add an input field on your Calendly Invite page where the candidate can enter their LinkedIn URL. Create credentials for your Calendly account. Follow the steps mentioned in the documentation to learn how to do that. Create credentials for Humantic AI following the steps mentioned here. Create a page on Notion similar to this page. Create credentials for the Notion node by following the steps in the documentation. Calendly Trigger node: This node will trigger the workflow when an interview gets scheduled. Make sure to add a field to collect the candidates' LinkedIn URL on your invite page. Humantic AI: This node uses the LinkedIn URL received by the previous node to create a candidate profile in Humantic AI. Humantic AI1: This node will analyze the candidates' profile. Notion node: This node will create a new page in Notion using the information from the previous node.

A sentiment intelligence sub-agent for the Binance Spot Market Quant AI Agent. It aggregates crypto news from major sources, filters by token keyword (e.g., BTC, ETH), and produces a Telegram-ready summary including market sentiment and top headlines—powered by GPT-4o. 🎥 Live Demo: 🛠️ Workflow Function This tool performs the following steps: | 🔧 Step | 📌 Description | | ------------------------ | ----------------------------------------------------------------------------- | | Webhook Input | Accepts { "message": "symbol" } via HTTP POST | | Crypto Keyword Extractor | GPT model extracts the valid crypto symbol (e.g., "SOL", "DOGE", "ETH") | | RSS News Aggregators | Pulls latest headlines from 9+ crypto sources (CoinDesk, Cointelegraph, etc.) | | Merge & Filter Articles | Keeps only articles containing the specified token | | Prompt Builder | Creates prompt for GPT with filtered headlines | | GPT-4o Summarizer | Summarizes news into 3-part response: Summary, Sentiment, Headline Links | | Telegram Formatter | Converts GPT output into a Telegram-friendly message | | Response Handler | Returns formatted message to the caller via webhook | 📥 Webhook Trigger Format { "message": "ETH" } This triggers a full execution of the workflow and returns output like: 📣 ETH Sentiment: Neutral • BlackRock’s tokenized fund expands to Ethereum mainnet (CoinDesk) • Ethereum fees remain high, analysts call for L2 migration (NewsBTC) • Vitalik warns about centralized risks in staking (Cointelegraph) 📚 Installation Guide 1. Import & Enable Load the .json into your n8n Editor Enable webhook trigger in the top-right corner Ensure it's reachable via POST /webhook/custom-path 2. Required Credentials OpenAI API Key** (GPT-4o capable) No API keys required for RSS feeds 3. Connect to Quant Agent Add an HTTP Request node in your main AI agent Point to this workflow's webhook with body { "message": "symbol" } Capture the response to include in your Telegram output 🔍 Real Use Cases | Scenario | Result | | ---------------------------------- | ---------------------------------------------------------------- | | BTC Sentiment before a key event | Returns 8–12 filtered articles with bullish/neutral/bearish tone | | Daily pulse for altcoins like DOGE | Shows relevant headlines, helpful for intraday trading setups | | Telegram chatbot integration | Enables user to query sentiment via /sentiment ETH | | Macro context for Quant AI outputs | Adds emotional/news context to technical-based trade decisions | 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding or resale permitted. 🔗 For support: LinkedIn – Don Jayamaha

Who is This For? This is for normal people or people just starting off and wanting to have a AI chatbot that can process data to use when talking to the user. How to Use You will need to have your own OpenRouter (Free) and OpenAI APIs as well as Google Drive, Pinecone, and Airtable. What Do You Want? If you want to have your AI Agent remember the user's preferences even after the session is over then you can keep the Airtable node in, if not you can delete it.

This AI-powered customer support automation built in n8n handles your e-commerce queries instantly — from order tracking to personalized product recommendations and support ticket management. Features: 🛒 Order Status Tracking: Instantly retrieve order details from your database. 🎯 AI Product Recommendations: GPT-powered suggestions based on customer preferences. 📩 Support Ticket Automation: Auto-create and manage tickets via email or CRM. 🔄 Context-Aware Conversations: AI agent with memory for smooth follow-ups. ⚡ Real-Time Webhook Responses: Instant, API-driven replies to customers. Tech Stack: n8n, OpenAI GPT, Webhooks, Supabase, Email API. Perfect for Shopify, WooCommerce, and custom e-commerce platforms looking to reduce response times and improve customer satisfaction.

Video Guide I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configurations. Youtube Link Who is this for? This workflow is designed for developers, data analysts, and business owners who want to create an AI-powered conversational agent integrated with Airtable datasets. It is particularly useful for users looking to enhance data interaction through chat interfaces. What problem does this workflow solve? Engaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries. What this workflow does This workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can: Retrieve order records, product details, and other relevant data. Execute mathematical functions to analyze data such as calculating averages and totals. Optionally generate maps for geographic data visualization. Dynamic Data Retrieval: The agent uses user prompts to dynamically query the dataset. Memory Management: It retains context during conversations, allowing users to engage in a more natural dialogue. Search and Filter Capabilities: Users can perform tailored searches with specific parameters or filters to refine their results. Set up steps Separate workflows: Create additional workflow and move there Workflow 2. Replace credentials: Replace connections and credentials in all nodes. Start chat: Ask questions and don't forget to mention required base name.