Agents & Automations

🚀 What this flow does • 🔎 Selects the least-used WordPress category (tracked in PostgreSQL) • 🤖 Uses GPT (4-mini or better) to generate a fully formatted SEO article with headings, TOC, lists, CTA, and Yoast blocks • 🖼️ Creates a placeholder cover image and uploads it to WordPress Media • 📬 Publishes the final post via /wp-json/wp/v2/posts with correct category + featured image • 🧠 Logs the used category for future rotation (zero duplicates!) ⚙️ Setup in 3 mins 🏷️ Add your WordPress domain with a simple Set node:domain=https://yourdomain.com 🔐 Create these 3 credentials in n8n:YOUR_WORDPRESS_CREDENTIAL — for /media, /postsYOUR_POSTGRES_CREDENTIAL — for category trackingYOUR_OPENAI_CREDENTIAL — GPT-4-mini or better 🧱 Run the SQL from docs to create the used_categories table ✅ Manually test first 3–5 nodes to check WP auth, OpenAI response, and DB connection 🕒 Then just schedule it and let the bot write for you. 🎯 Why it's awesome This is your personal AI content writer + publisher — perfect for: • 📰 SEO content farms • 📈 Affiliate blogs • 🧰 Micro niche sites • 🤫 PBNs with rotation-safe automation No more manual uploads, broken categories, or GPT spam. Every post is structured, beautiful, and intelligently categorized.

Automatically respond to Instagram comments using ChatGPT. Fetch new comments, get media details, generate responses, and post replies on Instagram.

Generate voice overs by converting new Google Sheets rows to audio using Eleven Labs text-to-speech and upload the files to Google Drive for easy access.

About the Automation Staying on top of competitor pricing changes can be a full-time job. Manual price tracking is time-consuming and prone to errors, especially when dealing with complex pricing structures and multiple subscription tiers. Paid competitor price monitoring tools can be expensive. What if you could automate this process and get instant alerts when competitors adjust their pricing? How to easily monitor competitor pricing With this automation, you'll learn how to set up an automated price monitoring system using Airtop's built-in node in n8n. By the end, your system will automatically track competitor pricing changes and notify you of any modifications. What You'll Need - A free Airtop API Key - Google Sheets account with a copy of this sheet - URLs of competitors' pricing pages Understanding the Process This automation continuously monitors competitor pricing pages and compares them against your baseline data. The workflow: - Tracks all different pricing plans (monthly, yearly, etc.). - Monitors feature changes across different tiers. - Detects and logs pricing structure modifications. - Alerts you via Slack when changes are detected. Setting Up Your Automation We've created a ready-to-use blueprint for seamless price monitoring. Here's how to get started: - Connect your Google Sheets - Set up your Airtop API connection - Define update frequency Customization Options Enhance the basic template with these popular modifications: - Add other notification channels (Email, Telegram, etc.). - Include feature comparison tracking. - Set up threshold-based alerts for significant price changes. - Track historical pricing trends. Real-World ApplicationsCase Study 1: A B2B SaaS company can use this automation to track competitors' pricing changes. When they identify a market-wide pricing shift, they can adjust their strategy proactively within minutes. Case Study 2: An online Ecommerce retailer automates monitoring of 100+ competitor products, maintaining optimal pricing positions and increasing profit margins. Best Practices To ensure accurate tracking: - Include detailed baseline data for each pricing tier. - Specify both monthly and annual pricing clearly. - List all features included in each plan. - Update your baseline data whenever you verify changes. - Include any promotional pricing or special offers. - Document currency and regional variations if applicable. Example Structure in Google Sheets:Competitor: Acme Tools Basic Plan: - Monthly: $29 - Annual: $290 ($24.17/mo) - Features: 5 users, 10GB storage, basic support Pro Plan: - Monthly: $79 - Annual: $790 ($65.83/mo) - Features: 20 users, 50GB storage, priority support What's Next? After setting up your price monitoring automation, consider the following: - Creating automated competitive analysis reports - Setting up market trend analysis - Implementing automatic pricing recommendations - Expanding monitoring to feature changes Happy monitoring!

Welcome to my AI Social Media Caption Creator Workflow! What this workflow does: This workflow automatically creates a social media post caption in an editorial plan in Airtable. It also uses background information on the target group, tonality, etc., stored in Airtable. This workflow has the following sequence: - Airtable trigger (scan for new records every minute) - Wait 1 minute so the Airtable record creator has time to write the Briefing field - Retrieval of Airtable record data - AI Agent to write a caption for a social media post. The agent is instructed to use background information stored in Airtable (such as target group, tonality, etc.) to create the post. - Format the output and assign it to the correct field in Airtable. - Post the caption into Airtable record. Requirements: - Airtable Database: Documentation - AI API access (e.g., via OpenAI, Anthropic, Google, or Ollama) For this workflow, you need the Airtable fields: - "created_at" - "Briefing" - "SoMe_Text_AI" Feel free to contact me via LinkedIn if you have any questions!

Analyze Mailchimp campaign performance using OpenAI technology. Save insightful data to Google Docs with AI improvements suggestions and share the outcome via email.

This n8n template demonstrates how easy it is to build an Outlook Calendar Assistant powered by an AI agent equipped with Tools. For teams using Outlook Calendar and Slack who need easier calendar management, this workflow can be a great first step to introducing powerful AI tools into your daily activities. How it works A Slack Trigger node is configured to catch "bot mentions" events in a designated channel. The message is parsed using the Edit fields node to extract only the required attributes of the event. An AI Agent equipped with Outlook Calendar Tools enables question and answer capability for the organisation's shared calendars and events. The AI agent's response is sent back to Slack as a reply to the user's query. How to use The workflow is triggered via @mention-ing the bot followed by the query. eg. "@bot how many meetings does Paul have to attend to this week?" To start listening to real mentions, you must activate the workflow and set it to production mode. You must use the production webhook URL for the event subscription. Some sample queries to try - "What's included in the product team's sprint demo this week?" - "Who's booked room 7 for this Thursday?" - "When is Jim & Nik's sales meeting with Microsoft?" Requirements - Slack for Chat and Trigger. To get connected to Slack, see the official n8n docs for Slack Credentials. - Outlook for Agent Tools. To get connected to Outlook, see the official n8n docs for Outlook Credentials. Customising this workflow Not using Slack? This template can be modified to work with Teams but requires a little more configuration. Agents can have any number of tools, but an overloaded agent is prone to confusion! If this happens, try splitting into multiple agents serving separate needs.

👥 Who Is This For? Content creators, marketing teams, and channel managers who need to streamline video publishing with optimized metadata and scheduled releases across multiple videos. 🛠 What Problem Does This Solve? Manual YouTube video publishing is time-consuming and often results in inconsistent descriptions, tags, and scheduling. This workflow fully automates: - Extracting video transcripts via Apify for metadata generation - Creating SEO-optimized descriptions and tags for each video - Setting videos to private during initial upload (critical for scheduling) - Implementing scheduled publishing at strategic times - Maintaining consistent branding and formatting across all content 🔄 Node-by-Node BreakdownStep Node Purpose 1. Every Day (Scheduler) 2. Get Videos to Harmonize 3. Get Video IDs (Unpublished) 4. Loop over Video IDs 5. Get Video Data 6. Loop over Videos with Parameter IS 7. Set Videos to Private 8. Apify: Get Transcript 9. Fetch Latest Videos 10. Loop Over Items 11. Generate Description, Tags, etc. 12. AP Clean ID 13. Retrieve Generated Data 14. Adjust Transcript Format 15. Update Video's Metadata ⚙️ Pre-conditions / Requirements - n8n with YouTube API credentials configured - Apify account with API access for transcript extraction - YouTube channel with upload permissions - Master templates for description formatting - Videos must be initially set to private for scheduling to work ⚙️ Setup Instructions - Import this workflow into your n8n instance. - Configure YouTube API credentials with proper channel access. - Set up Apify integration with appropriate actor for transcript extraction. - Define scheduling parameters in the Every Day node. - Configure description templates with placeholders for dynamic content. - Set default tags and customize tag generation rules. - Test with a single video before batch processing. 🎨 How to Customize - Adjust prompt templates for description generation to match your brand voice. - Modify tag selection algorithms based on your channel's SEO strategy. - Create multiple publishing schedules for different content categories. - Integrate with analytics tools to optimize publishing times. - Add notification nodes to alert when videos are successfully scheduled. ⚠️ Important Notes - Videos MUST be uploaded as private initially - the Publish At logic only works for private videos that haven't been published before. - Publishing schedules require videos to remain private until their scheduled time. - Transcript quality affects metadata generation results. - Consider YouTube API quotas when scheduling large batches of videos. 🔐 Security and Privacy - API credentials are stored securely within n8n. - Transcripts are processed temporarily and not stored permanently. - Webhook URLs should be protected to prevent unauthorized triggering. - Access to the workflow should be limited to authorized team members only.

Get real-time cryptocurrency prices directly in Telegram! This workflow integrates the CoinMarketCap API with Telegram, allowing users to request live crypto prices simply by sending a message to the bot. Ideal for crypto traders, analysts, and enthusiasts who need quick and easy access to market data. How It Works A Telegram bot listens for user input (e.g., "BTC" for Bitcoin). The workflow sends a request to the CoinMarketCap API to fetch the latest price. The response is processed using an AI-powered language model (GPT-4o-mini) for structured messaging. The workflow logs session data using a memory buffer for better response tracking. The latest price is sent back to the user via Telegram. Set Up Steps 1. Create a Telegram Bot Use @BotFather on Telegram to create a bot and obtain an API token. 2. Get a CoinMarketCap API Key Sign up at CoinMarketCap and retrieve your API key. 3. Configure API Credentials in n8n Add the CoinMarketCap API key under HTTP Header Auth. Add your Telegram bot token under Telegram API credentials. 4. Deploy and Test Send a message (e.g., "BTC") to your Telegram bot and receive live price updates instantly! Automate your crypto price tracking today with this powerful Telegram bot!

Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is based on movie recommendations on the IMDB-top1000 dataset. You can provide your wishes and your "big no's" to the chatbot, for example: "A movie about wizards but not Harry Potter," and get top-3 recommendations. How it works: - A video with the full design process. - Upload IMDB-1000 dataset to Qdrant Vector Store, embedding movie descriptions with OpenAI. - Set up an AI agent with a chat. This agent will call a workflow tool to get movie recommendations based on a request written in the chat. - Create a workflow which calls Qdrant's Recommendation API to retrieve top-3 recommendations of movies based on your positive and negative examples. Set Up Steps: - You'll need to create a free tier Qdrant Cluster (Qdrant can also be used locally; it's open-sourced) and set up API credentials. - You'll need OpenAI credentials. - You'll need GitHub credentials & to upload the IMDB Kaggle dataset to your GitHub.

Video Guide I prepared a detailed guide to help you set up your workflow effectively, enabling you to extract insights from YouTube for content generation using an AI agent. Who is this for? This workflow is ideal for content creators, marketers, and analysts looking to enhance their YouTube strategies through data-driven insights. It’s particularly beneficial for individuals wanting to understand audience preferences and improve their video content. What problem does this workflow solve? Navigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively. What this workflow does The workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include: - Extracting user preferences from comments. - Transcribing video content for enhanced understanding. - Analyzing thumbnails via AI for maximum viewer engagement insights. - AI Insights Extraction: Automatically pulls comments and metrics from selected YouTube creators to evaluate trends and gaps. - Dynamic Video Planning: Uses transcriptions to help creators outline video scripts and topics based on audience interest. - Thumbnail Assessment: Provides analysis on thumbnail designs to improve click-through rates and viewer attraction. Setup - API Setup: Create a Google Cloud project and enable the YouTube Data API. Generate an API key to be included in your workflow requests. - YouTube Creator and Video Selection: Start by defining a request to identify top creators based on their video views. Capture the YouTube video IDs for further analysis of comments and other video metrics. - Comment Analysis: Gather comments associated with the selected videos and analyze them for user insights. - Video Transcription: Utilize the insights from transcriptions to formulate content plans. - Thumbnail Analysis: Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.

This workflow digests mentions of n8n on Reddit that can be sent as a single email or Slack summary each week. We use OpenAI to classify if a specific Reddit post is really about n8n or not, and then summarize it into a bullet point sentence. How it works 1. Get posts from Reddit that might be about n8n. 2. Filter for the most relevant posts (posted in the last 7 days, more than 5 upvotes, and original content). 3. Check if the post is actually about n8n. 4. If it is, categorize with OpenAI. Bear in mind: The workflow only considers the first 500 characters of each Reddit post. So if n8n is mentioned after this amount, it won't register as being a post about n8n.io. Next steps - Improve OpenAI Summary node prompt to return cleaner summaries. - Extend to more platforms/sources - e.g., it would be really cool to monitor larger Slack communities in this way. - Do some classification on the type of user to highlight users likely to be in our ICP. - Separate a list of data sources (Reddit, Twitter, Slack, Discord, etc.), extract messages from there, and have them go to a sub-workflow for classification and summarization.

CallForge - AI-Powered Marketing Insights Extraction from Sales Calls Automate marketing intelligence gathering from AI-analyzed sales calls and store insights in Notion. 🎯 Who is This For? This workflow is designed for: ✅ Marketing teams looking to extract trends and insights from sales conversations. ✅ Product managers who need direct customer feedback from sales calls. ✅ Revenue operations (RevOps) teams optimizing AI-driven call analysis. It streamlines AI-powered marketing intelligence, identifying customer pain points, competitor mentions, and recurring trends—all automatically stored in Notion. 🔍 What Problem Does This Workflow Solve? Manually reviewing sales call transcripts for marketing insights is time-consuming and inconsistent. With CallForge, you can: ✔ Extract key marketing insights from AI-analyzed sales calls. ✔ Track recurring discussion topics across multiple conversations. ✔ Generate actionable marketing recommendations for strategy and content. ✔ Store structured insights in Notion for seamless access. This automation eliminates manual work and ensures marketing teams get data-driven insights from real customer conversations. 📌 Key Features & Workflow Steps 🎙️ AI-Driven Marketing Insights Processing This workflow processes AI-generated sales call insights and organizes them in Notion databases: - Triggers when AI sales call data is received. - Identifies marketing-related data (trends, customer pain points, competitor mentions). - Extracts key marketing insights, categorizing product discussions and recurring topics. - Logs trends across multiple calls, ensuring marketing teams spot recurring themes. - Processes actionable insights, capturing marketing strategy recommendations. - Stores all findings in Notion, enabling structured, searchable insights. 📊 Notion Database Integration - Marketing Insights → Logs key trends and product mentions from sales calls. - Recurring Topics → Tracks frequently discussed themes across calls. - Actionable Recommendations → Stores AI-generated recommendations for marketing teams. 🛠 How to Set Up This Workflow 1. Prepare Your AI Call Analysis Data Ensure AI-generated sales call insights are available. Compatible with Gong, Fireflies.ai, Otter.ai, and other AI transcription tools. 2. Connect Your Notion Database Set up Notion databases for: 🔹 Marketing Insights (logs trends and product mentions) 🔹 Recurring Topics (tracks frequently discussed customer concerns) 🔹 Actionable Recommendations (stores marketing strategy insights) 3. Configure n8n API Integrations Connect your Notion API key in n8n under “Notion API Credentials.” Set up webhook triggers to receive AI-generated sales insights. Test the workflow using a sample AI sales call analysis. 🔧 How to Customize This Workflow 💡 Modify Notion Data Structure – Adjust fields to match marketing strategy needs. 💡 Refine AI Data Processing Rules – Customize what insights are extracted and logged. 💡 Integrate with Slack or Email – Notify teams when key marketing trends emerge. 💡 Expand CRM Integration – Sync insights with HubSpot, Salesforce, or Pipedrive. 🚀 Why Use This Workflow? ✔ Eliminates manual sales call review for marketing teams. ✔ Provides structured, AI-driven insights for marketing and product strategy. ✔ Tracks competitor mentions and customer pain points automatically. ✔ Improves content marketing and campaign planning with real customer insights. ✔ Scalable for teams using n8n Cloud or self-hosted deployments. This workflow empowers marketing teams by transforming sales call data into actionable intelligence, streamlining strategy, content planning, and competitor analysis. 🚀

Monitor Google Drive folders for new files and automatically create vector store files using ChatGPT, streamlining file management and data processing.

Automatically route Facebook leads to ChatGPT and Claude to create bespoke emails for your estate agency, which includes a personalized properties listing for enhancing communication and boosting client engagement.

What this workflow does: This flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile. You can use these keywords to form part of your SEO strategy. Outputs: List of 20 Seed Keywords Setup: - Fill the Set Ideal Customer Profile (ICP) - Connect with your credentials - Replace the Connect to your own database with your own database Pre-requisites / Dependencies: - You know your ideal customer profile (ICP) - An AI API account (either OpenAI or Anthropic recommended)

Who is this for? This workflow is perfect for busy professionals, students, or anyone who struggles to keep their Gmail inbox organized and clutter-free. What problem is this workflow solving? It helps you avoid email overload by automating the process of organizing your Gmail inbox. Unnecessary emails are archived, while important emails are categorized into "MustRead" or "NotNeed" for better prioritization. What this workflow does - Connects to your Gmail inbox. - Automatically archives emails that are unnecessary or irrelevant. - Sorts remaining emails into two categories: - MustRead: Emails that require immediate attention. - NotNeed: Less critical emails for review later. Setup - Connect your Gmail account to the workflow. - Define the criteria for "MustRead" and "NotNeed" emails by updating the filter rules in the nodes. - Activate the workflow to start organizing your inbox. How to customize this workflow to your needs - Adjust the filters for archiving emails based on your specific preferences. - Modify the sorting rules for "MustRead" and "NotNeed" categories to match your workflow. - Add additional actions, such as sending notifications for "MustRead" emails.

Paul Graham Essay Search & Chat with Milvus Vector Database This workflow creates a RAG (Retrieval-Augmented Generation) system using Milvus vector database to search Paul Graham essays: Scrape & Load: Fetches Paul Graham essays, extracts text, and stores them as vector embeddings in Milvus. Chat Interface: Enables semantic search and AI-powered conversations about the essays. Set Up Steps: 1. Set up Milvus server following the official installation guide, then create a collection. 2. Execute the workflow to scrape essays and load them into your Milvus collection. 3. Chat with the AI agent using the Milvus tool to query and discuss essay content.

👥 Who is this for? This workflow is ideal for virtual assistants, researchers, developers, automation specialists, and data analysts who need to regularly extract and organize structured product information (like books) from a website. It’s especially useful for those working with catalog-based websites who want to automate extraction and delivery of clean, sorted data. 🧩 What problem is this solving? Manually copying product listings like book titles and prices from a website into a spreadsheet is slow and repetitive. This automation solves that problem by scraping content using Dumpling AI, extracting the right data using CSS selectors, and formatting it into a clean CSV file that is sent to your email—all triggered automatically when a new URL is added to Google Sheets. ⚙️ What this workflow does This template automates an entire content scraping and delivery process: - Watches a Google Sheet for new URLs - Scrapes the HTML content of the given webpage using Dumpling AI - Uses CSS selectors in the HTML node to extract each book from the page - Splits the HTML array into individual items - Extracts the book title and price from each HTML block - Sorts the books in descending order based on price - Converts the sorted data to a CSV file - Sends the CSV via email using Gmail 🛠️ SetupGoogle Sheets - Create a sheet titled something like URLs - Add your product listing URLs (e.g., http://books.toscrape.com) - Connect the Google Sheets trigger node to your sheet - Ensure you have proper credentials connected Dumpling AI - Create an account at Dumpling AI - Generate your API key - Set the HTTP Method to POST and pass the URL dynamically from the Google Sheet - Use Header Auth to include your API key in the request header - Make sure "cleaned": "True" is included in the body for optimized HTML output HTML Node - The first HTML node extracts the main book container blocks using: .row > li - The second HTML node parses out the individual fields: - title: h3 > a (via the title attribute) - price: .price_colorSort Node - Sorts books by price in descending order - Note: price is extracted as a string, ensure it's parsable if you plan to use numeric filtering later Convert to CSV - The JSON data is passed into a Convert node and transformed into a CSV file Gmail - Sends the CSV as an attachment to a designated email 🔄 How to customize this workflow - Extract more data: Add more CSS selectors in the second HTML node to pull fields like author, availability, or product links - Switch destinations: Replace Gmail with Slack, Google Drive, Dropbox, or another platform - Adjust sorting: Sort alphabetically or based on another extracted value - Use a different source: As long as the site structure is consistent, this can scrape any listing-like page - Trigger differently: Use a webhook, form submission, or schedule trigger instead of Google Sheets ⚠️ Dependencies and Notes This workflow uses Dumpling AI to perform the web scraping. This requires an API key and uses credits per request. The HTML node depends on valid CSS selectors. If the site layout changes, the selectors may need to be updated. Ensure you’re not scraping content from websites that prohibit automated scraping.

Discover our innovative solution to automate responses to business emails, streamlining communication, increasing productivity, and enhancing customer satisfaction. The responses are saved as drafts for you to review before sending it.

This workflow template is designed for dental assistants and anyone looking to automate appointment scheduling. It integrates Google Calendar for booking appointments and Google Sheets as a database to store patient information. How It Works The user interacts with the chatbot to schedule an appointment. The chatbot collects necessary details and checks availability via Google Calendar. If the requested time is available, the AI books the appointment. If unavailable, the AI suggests alternative time slots. Once booked, the AI logs the appointment details into Google Sheets for record-keeping. Setup Instructions 📌 Watch this 🎥 Setup Video for detailed instructions on running and customizing this workflow. Step 1: Set Up Credentials - OpenAI API Key (for chatbot functionality). - Google Account (for Google Sheets & Google Calendar integration). Step 2: Choose the Right Tools - Select the correct Google Calendar in the Google Calendar tool. - Choose the appropriate Google Sheets file in the Google Sheets tool. Step 3: Test Run a test to ensure everything works correctly. Once tested.