Workflow Templates

Who’s it for This template is ideal for creators, bloggers, and automation enthusiasts who want to auto-generate blog posts from AI-generated content — without lifting a finger. Whether you're running a tech blog, AI newsletter, or just want to keep your WordPress site fresh, this workflow does the heavy lifting. How it works This n8n workflow automatically publishes WordPress posts using trending content from Reddit RSS feeds (like /r/artificial and /r/MachineLearning), enhanced with AI writing and royalty-free images. RSS Feed Trigger: Fetches new Reddit posts every minute from multiple AI-related subreddits. AI Blog Writer: Uses an LLM (Groq / GPT-4o) to convert Reddit titles + content into a full blog article (title, content, category, tags, image keyword). Image Generator: Queries the Pexels API using the keyword provided by the AI to fetch a relevant blog image. Category & Tag Manager: Automatically creates or reuses categories and tags in WordPress. WordPress Publisher: Posts the article in draft or published form — complete with featured image and metadata. Everything is dynamically generated — no hardcoded text or API keys! How to set up Estimated time: 15–20 minutes You’ll need: 🧠 Groq or OpenAI API key (for AI article generation) 🖼️ Pexels API key (for fetching featured images) 📰 WordPress API credentials (with media + post permissions) Customization via Sticky Notes: Choose your own RSS feeds (or subreddit URLs) Modify the AI prompt to match your writing style Set post status (draft or publish) Add your WordPress API URL and credentials Requirements Free n8n account (or self-hosted instance) API credentials (Groq/OpenAI, Pexels, WordPress) Working WordPress site with REST API access Sticky notes explaining: Setup instructions AI prompt format Required credential names

🤖 Automated SEO Audit with a Team of AI Specialists This workflow performs a comprehensive, automated monthly SEO and performance audit for any website. It uses a "team" of specialized AI agents to analyze data from multiple sources, aggregates their findings, and generates a final strategic report. Every month, it automatically fetches data from Google Analytics, Google Search Console, and Google PageSpeed Insights, and also performs a live crawl of the target website's homepage. Key Features Fully Automated**: Runs on a schedule to deliver monthly reports without manual intervention. Multi-Source Analysis**: Gathers data from four key marketing sources for a 360° view. AI Agent Team**: Uses a sophisticated multi-agent system where each AI specializes in one area (Analytics, Performance, Technical SEO). Master Analyst**: A final AI agent synthesizes all specialist reports into a single, actionable strategic plan. Automated Storage**: All individual and final reports are automatically saved to a designated Google Sheet. ⚙️ Setup Instructions To use this template, you must configure your credentials and set your target website. 1. Set Your Target Domain (Crucial!): Find the Set Target Website node at the beginning of the workflow. In the "Value" field, replace https://www.your-website.com with the URL of the website you want to audit. This will update the URL across the entire workflow automatically. 2. Configure the Schedule Trigger: Click on the Schedule Trigger node to set when you want the monthly report to run. 3. Connect Your Google Credentials: Google Analytics**: Select your credential in the Get a report node. Google Search Console**: Select your credential in the Search Console (HTTP Request) node. Google Sheets*: Select your credential in *all Google Sheets nodes. Google PageSpeed API Key**: Go to the "Credentials" tab in n8n and create a new "Generic Credential" with the type "API Key - Query Param". Name it Google API Key. The "Parameter Name" must be key. Paste your PageSpeed API key into the "API Key" field. Go back to the PageSpeed Insight node, select "API Key - Query Param" for Authentication, and choose your new credential. 4. Connect OpenAI Credentials: This template uses multiple OpenAI Chat Model nodes. Configure each one with your OpenAI API key. 5. Set Your Google Sheet: In each of the Google Sheets nodes, replace the hardcoded "Document ID" with the ID of your own Google Sheet where you want to store the reports. 🔬 Workflow Explained Phase 1: Data Collection: The Schedule Trigger starts the workflow. Four parallel branches collect data from Google Analytics, PageSpeed Insights, Search Console, and a direct website crawl. Phase 2: Data Processing & Specialist Analysis: Each data source is processed by a dedicated Code node to format the data. The formatted data is then sent to a specialized AI agent (ANALYTICS SPECIALIST, PERFORMANCE SPECIALIST, etc.) for in-depth analysis. Phase 3: Report Aggregation: A Merge node waits for all four specialist reports to be completed. A DATA AGGREGATOR node then combines them into a single, comprehensive package. Phase 4: Master Synthesis & Storage: The final MASTER ANALYST agent receives the aggregated data and produces a high-level strategic summary with actionable recommendations. This final report is then saved to Google Sheets.

Give business users a chat box; get back valid BigQuery SQL and live query results. The workflow: Captures a plain-language question from a chat widget or internal portal. Fetches the current table + column schema from your BigQuery dataset (via INFORMATION_SCHEMA). Feeds both the schema and the question to GPT-4o so it can craft a syntactically correct SQL query using only fields that truly exist. Executes the AI-generated SQL in BigQuery and returns the results. Stores a short-term memory by session, enabling natural follow-up questions. Perfect for analysts, customer-success teams, or any stakeholder who needs data without writing SQL. ⚙️ Setup Instructions Import the workflow n8n → Workflows → Import from File (or Paste JSON) → Save Add credentials | Service | Where to create credentials | Node(s) to update | |---------|----------------------------|-------------------| | OpenAI | <https://platform.openai.com> → Create API key | OpenAI Chat Model | | Google BigQuery | Google Cloud Console → IAM & Admin → Service Account JSON key | Google BigQuery (schema + query) | Point the schema fetcher to your dataset In Google BigQuery1 you’ll see: SELECT table_name, column_name, data_type FROM n8nautomation-453001.email_leads_schema.INFORMATION_SCHEMA.COLUMNS Replace n8nautomation-453001.email_leads_schema with YOUR_PROJECT.YOUR_DATASET. Keep the rest of the query the same—BigQuery’s INFORMATION_SCHEMA always surfaces table_name, column_name, and data_type. Update the execution node Open Google BigQuery (the second BigQuery node). In Project ID select your project. The SQL Query field is already {{ $json.output.query }} so it will run whatever the AI returns. (Optional)Embed the chat interface Test end-to-end Open the embedded chat widget. Ask: “How many distinct email leads were created last week?” After a few seconds the workflow will return a table of results—or an error if the schema lacks the requested fields. As specific questions about your data Activate Toggle Active so the chat assistant is available 24/7. 🧩 Customization Ideas Row-limit safeguard**: automatically append LIMIT 1000 to every query. Chart rendering**: send query results to Google Sheets + Looker Studio for instant visuals. Slack bot**: forward both the question and the SQL result to a Slack channel for team visibility. Schema caching**: store the INFORMATION_SCHEMA result for 24 hours to cut BigQuery costs. Contact Email:** rbreen@ynteractive.com Website:** https://ynteractive.com YouTube:** https://www.youtube.com/@ynteractivetraining LinkedIn:** https://www.linkedin.com/in/robertbreen

Who’s it for This template is ideal for YouTube video creators who spend a lot of time manually generating SEO assets like descriptions, tags, titles, keywords, and thumbnails. If you're looking to automate your YouTube SEO workflow, this is the perfect solution for you. How it works / What it does Connect a Google Sheet to n8n and pull in the Hindi script (or any language). Use OpenAI to generate SEO content: Video description Tags Keywords Titles Thumbnail titles etc. Use the generated description as input to create a thumbnail image using an image generation API. Store all outputs in the same Google Sheet in separate columns. Optionally, use tools like VidIQ or TubeBuddy to test the SEO strength of generated titles, tags, and keywords. 💡 Note: This example uses Runway’s image generation API, but you can plug in any other image-generation service of your choice. Requirements A Google Sheet with clearly named columns Hindi, English, or other language scripts in the sheet OpenAI API key Runway API key (or any other image generation API) How to set up You can set up this workflow in 15 minutes by following the pre-defined steps. Replace the manual Google Sheet trigger with a scheduled trigger for daily or timed automation. You may also swap Google Sheets with any database or data source of your choice. No Google Sheets API required. Requires minimal JavaScript or Python knowledge for advanced customizations.

Access live KuCoin Spot Market data instantly in Telegram! This workflow integrates the KuCoin REST API with Telegram and an optional GPT-4.1-mini formatter, delivering real-time insights like latest prices, 24h stats, order book depth, trades, and candlesticks — all structured into clean Telegram messages. 🔎 How It Works A Telegram Trigger listens for user commands. User Authentication validates the Telegram ID against an allowlist. A SessionId is generated from the chat ID to support memory across turns. The KuCoin AI Agent orchestrates API requests: 24h Stats → /api/v1/market/stats?symbol=BTC-USDT Order Book Depth → /api/v1/market/orderbook/level2_100?symbol=BTC-USDT Latest Price → /api/v1/market/orderbook/level1?symbol=BTC-USDT Best Bid/Ask → /api/v1/market/orderbook/level1?symbol=BTC-USDT Klines (Candles) → /api/v1/market/candles?symbol=BTC-USDT&type=15min&limit=20 Recent Trades → /api/v1/market/histories?symbol=BTC-USDT Average Price (via Ticker) → /api/v1/market/orderbook/level1?symbol=BTC-USDT Utility Tools process results: Calculator → spreads, % changes, averages. Think → reshapes JSON, selects fields, formats outputs. Message Splitter breaks outputs >4000 chars (Telegram limit). Final report is sent back via Telegram SendMessage in human-readable format. ✅ What You Can Do with This Agent Get 24h rolling statistics (open, high, low, close, last, volume). Retrieve full order book depth (20, 100 levels) or best bid/ask. Monitor real-time latest prices with spreads. Analyze candlestick data (OHLCV) across supported intervals. View recent public trades with price, size, side, and time. Use average price proxies from bid/ask + last trade. Receive structured Telegram reports — not raw JSON. 🛠️ Setup Steps Create a Telegram Bot Use @BotFather to create a bot and copy its token. Configure in n8n Import KuCoin AI Agent v1.02.json. Update User Authentication node with your Telegram ID. Add Telegram API credentials (bot token). Add OpenAI API key. (Optional) Add KuCoin API key Deploy & Test Activate the workflow in n8n. Send a query like BTC-USDT to your bot. Instantly receive structured KuCoin Spot Market insights in Telegram. 📤 Output Rules Responses grouped into Price, 24h Stats, Order Book, Klines, Trades. No raw JSON (only human-readable summaries). No financial advice or predictions. Always fetch directly from KuCoin’s official API. 📺 Setup Video Tutorial Watch the full setup guide on YouTube: If you want, I can also update embed links & thumbnails elsewhere to match this. ⚡ Unlock KuCoin Spot Market insights in Telegram — fast, reliable, and API-key free. 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn

Introduction Upload invoices via Telegram, receive structured data instantly. Perfect for accountants and finance teams. How It Works Telegram bot receives invoices, downloads files, extracts data using OpenAI, then returns analysis. Workflow Template Telegram Trigger → Document Check → Get File → HTTP Download → AI Extract → Format Response → Send to Telegram Workflow Steps Telegram Trigger: Listens for uploads. Document Check: Validates files; routes errors. Get File: Retrieves metadata. HTTP Download: Fetches content. AI Extract: OpenAI parses invoice fields. Format Response: Structures data. Send Analysis: Delivers to chat. Setup Instructions Telegram Bot: Create via BotFather, add credentials. OpenAI Agent: Add API key and extraction prompt. HTTP Node: Set authentication. Parser: Define invoice schema. Error Handling: Configure fallbacks. Prerequisites n8n instance Telegram Bot Token OpenAI API key Customization Database storage Accounting software integration Benefits Eliminates manual entry Reduces errors

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Who is this for? Automation enthusiasts, content creators, or social media managers who post article-based threads to Bluesky and want to automate the process end-to-end. What problem is this solving? Manual content repackaging and posting can be repetitive and time-consuming. This workflow automates the process from capturing article URLs (via Telegram or RSS) to scraping content, transforming it into a styled thread, and posting on Bluesky platform. What this workflow does Listens on Telegram or fetches from RSS feeds (AI Trends, Machine Learning Mastery, Technology Review). Extracts content from URLs using JinaAI. Converts the article into a neat, scroll-stopping thread via LangChain + Gemini / OpenAI ChatGPT. Splits the thread into multiple posts. The first post is published with “Create a Post”, while subsequent posts are replies. Adds short delays between posting to avoid rate limits. Setup Add credentials for Telegram Bot API, JinaAI, Google Gemini, and Bluesky App Password. Add or customize RSS feeds if needed Test with a sample URL to validate posting sequence. How to customize Swap out RSS feeds or trigger sources. Modify prompt templates or thread formatting rules in the LangChain/Gemini node. Adjust wait times or content parsing logic. Replace Bluesky with another posting target if desired. Made by: Khaisa Studio Need customs workflows? Contact Me!

This n8n template demonstrates how to build a weekly Hollywood film industry briefing using Tavily for real-time search and Google Gemini for summarization. It sends a concise, emoji‑styled email with movie releases, box office results, industry news, and must‑watch recommendations every week automatically. Use cases: Great for film journalists, entertainment bloggers, or movie enthusiasts who want automated weekly updates without manually checking multiple sources. Good to know Free to use: Tavily provides **1,000 API credits per month on their free plan (no credit card required), so this workflow can run at zero cost. Real-time data**: Tavily’s search API is optimized for up-to-date information — perfect for weekly movie releases and box office stats. Google Gemini is used for summarization, and you only need basic API access (no paid tier required). How it works Trigger**: Scheduled every Thursday morning (configurable). Search**: Four Tavily API calls gather: Movies releasing this week Last week’s box office results Hollywood industry news Must‑watch movies currently in theatres Summarization**: Google Gemini turns this into Gmail‑friendly HTML with emojis and bullet points. Email**: The formatted newsletter is sent via Gmail node. How to use Configure Tavily API and Gmail OAuth2 credentials in n8n’s credential manager. (Optional) Edit Tavily queries to focus on specific genres or add filters. Adjust the schedule trigger to any day/time you prefer. Requirements Tavily API account (free plan – 1,000 monthly requests) Google Gemini API key for summarization Gmail account (OAuth2 credentials for sending emails) Want insane output quality? You can swap Gemini for OpenAI’s ChatGPT models: GPT‑3.5 Turbo** – \~\$0.002/run (crazy cheap) GPT‑4o** – \~\$0.009/run (latte price) GPT‑4.5** – \~\$0.15/run (god‑mode quality) This upgrade gives you cleaner, richer, “did‑a‑human‑write‑this?” vibes — perfect for journalist‑grade Hollywood briefings. Just note: OpenAI API requires a \$5 minimum credit to activate usage. Example Output (ChatGPT version) Subject: Daily Hollywood Film Industry Briefing – August 3, 2025 Good morning, Here's your daily Hollywood film briefing for August 3, 2025: 🎬 Releases The Bad Guys 2 – Released Friday, August 1, 2025 The Naked Gun – Released Friday, August 1, 2025 These are the confirmed new wide theatrical Hollywood releases this week (Monday through Sunday of current week). No additional new Hollywood theatrical releases found for this week. 📊 Box Office Highest‑grossing Hollywood films of 2025 (worldwide): Ne Zha 2 – approx. \$1.90 billion (non‑Hollywood Chinese animated film leads) Lilo & Stitch – approx. \$1.02 billion A Minecraft Movie – approx. \$955 million Jurassic World Rebirth – approx. \$731 million How to Train Your Dragon – approx. \$610 million Last week’s box office performance (Monday–Sunday): The Fantastic Four: First Steps – domestic debut \\$118 M; global \\$218 M, Marvel’s biggest opening of 2025 Superman – added \~\$94 M worldwide last week, passing \$500 M global total Jurassic World Rebirth – up \\$70 M worldwide last week, despite \40 % drop week‑on‑week F1: The Movie – up \~\$48 M last week internationally/domestically growth visible Lilo & Stitch – added \~\$10 M worldwide last week, slower tail but still billion‑plus gross Highlights & trends: Fantastic Four’s strong debut reboots Marvel success, signaling resumed audience interest; Superman continues to hold strong; Jurassic World Rebirth remains durable after holiday surge; surge in box office recovery noted across key titles. Overall box office up \~12–15 % year‑on‑year. 📰 Industry Buzz Christopher Nolan has signed to direct a massive \$250 million adaptation of Homer’s The Odyssey, starring Matt Damon and Tom Holland, with Imax pre‑sales at 95 % capacity across major locations. Marvel has relaunched the Fantastic Four franchise successfully with First Steps; positive CinemaScore and strong visuals marking a fresh start. DC’s Superman continues strong with over \$500 M global, solidifying DC’s summer comeback. Universal’s Jurassic World Rebirth continues strong overseas, especially in China, contributing to \$318 M global in opening holiday weekend. Warner Bros.–Discovery stock surges (\~30 %) amid box office rebound, with Disney, IMAX and Cinemark also seeing robust growth in 2025. Ne Zha 2 becomes highest‑grossing animated and non‑Hollywood film ever, crossing \$2 billion globally—though not Hollywood, its impact on global trends is notable. Mission: Impossible – The Final Reckoning quietly solidifies strong global numbers (\~\$562 M) and continues reliable franchise performance. 🎥 Must‑Watch in Theatres (Surat, India) The Fantastic Four: First Steps** – Currently showing in English/Hindi/Tamil/Telugu in Surat cinemas; hyped globally, strong visuals, action‑heavy, best experienced in IMAX or premium formats if available in Surat multiplexes. Runs this week. F1: The Movie** – Available in Surat in multiple languages, strong reviews praising adrenaline‑fuelled direction and visuals and growing fan hype; ideal in standard or Dolby formats for immersive sound and speed feel. Jurassic World Rebirth** – Still playing in Surat, popular with family audiences; grand visuals and dinosaur action well‑suited to IMAX or large format screens. That’s all for today’s briefing. Have a great theatrical weekend ahead!

How It Works Story Generation – Your idea is transformed into a narrative split into scenes using DeepSeek LLM. Visuals – Each scene is illustrated with AI images via Replicate, then animated into cinematic video clips with RunwayML. Voice & Music – Narration is created using ElevenLabs (text-to-speech), while Replicate audio models generate background music. Final Assembly – All assets are merged into a professional video using Creatomate. Delivery – Everything is orchestrated by n8n, triggered from Slack with /render, and the final video link is delivered back instantly. Workflow in Action 1. Trigger from Slack Type your idea with /render in Slack - the workflow starts automatically. 2. Final Video Output Receive a polished cinematic video link in Slack. 3. Creatomate Template ⚠️ Important: You must create your own template in Creatomate. This is a one-time setup - the template defines where the voiceover, music, and video clips will be placed. The more detailed and refined your template is, the better the final cinematic result. Required APIs To run this workflow, you need accounts and API keys from the following services: DeepSeek – Story generation (LLM) Replicate – Images & AI music generation RunwayML – Image-to-video animations ElevenLabs – Text-to-speech voiceovers Creatomate – Video rendering and templates Dropbox – File storage and asset syncing Slack – Workflow trigger and video delivery Setup Steps Import the JSON workflow into your n8n instance. Add your API credentials for each service above. Create a Creatomate template (only once) – define layers for visuals, voice, and music. Trigger the workflow from Slack with /render Your Story Idea. Receive your final cinematic video link directly in Slack. Use Cases Automated YouTube Shorts / TikToks for faceless content creators. Scalable ad creatives and marketing videos for agencies. Educational explainers** and onboarding videos generated from text. Rapid prototyping** of cinematic ideas for developers & storytellers. With this workflow, you’re not just using AI tools – you’re running a full AI-powered studio in n8n.

AI Meeting Summary Generator with Google Docs Integration Who’s it for Teams that record meetings and want fast, clear summaries without manual note-taking. Managers who need action items extracted automatically. Anyone using Google Drive + Google Docs as their central workspace. How it works / What it does This workflow automates meeting documentation: Watches a Google Drive folder for new audio/video meeting files. Downloads the file and transcribes speech into text using Gemini AI. Summarizes transcripts into Key Discussions and Action Items. Creates or updates a Google Doc with the formatted summary (title, bullets, checkmarks, styling). Sends final output to Docs with bold headings, bullets, and spacing for readability. How to set up Add your Google Drive Trigger to monitor a folder. Connect Gemini AI to handle transcription + summarization. Configure the Google Docs Tool to create/update your summary documents. (Optional) Use the Code Node + Docs API to apply bullet/checkmark formatting. Requirements Google Drive OAuth2 – for monitoring & downloading files Google Docs OAuth2 – for creating and updating documents Google Gemini API – for transcription + AI-powered summarization How to customize the workflow Change the Google Drive folder to monitor a different workspace. Edit the system prompt in the Summarizer to tweak summary style (e.g., more detail, decisions only, etc.). Modify the Code Node formatting rules (bullets, checkmarks, bold text). Add integrations (e.g., Slack, Email, Notion) to send summaries beyond Google Docs.

This workflow is the AI analysis and alerting engine for a complete social media monitoring system. It's designed to work with data scraped from X (formerly Twitter) using a tool like the Apify Tweet Scraper, which logs the data into a Google Sheet. The workflow then automatically analyzes new tweets with Google Gemini and sends tailored alerts to Slack. How it works This workflow automates the analysis and reporting part of your social media monitoring: tweet Hunting:** It finds tweets for the query entered in the set node and passes the data to the google sheets Fetches New Tweets:** It gets all new rows from your Google Sheet that haven't been processed yet (it looks for "Notmarked" in the 'action taken' column). Prepares for AI:** It combines the data from all new tweets into a single, clean prompt for the AI to analyze. AI Analysis with Gemini:* It sends the compiled data to Google Gemini, asking for a full summary report *and a separate, machine-readable JSON list of any urgent items. Splits the Response:** The workflow intelligently separates the AI's text summary from the JSON data for urgent alerts. Sends Notifications:** The high-level summary is sent to a general Slack channel (e.g., #brand-alerts). Each urgent item is sent as a separate, detailed alert to a high-priority Slack channel (e.g., #urgent). Set up steps It should take about 5-10 minutes to get this workflow running. Prerequisite - Data Source: Ensure you have a Google Sheet being populated with tweet data. For a complete automation, you can set up a new google sheet with the same structure for saving the tweets data and run the Tweet Scraper on a schedule. Configure Credentials: Make sure you have credentials set up in your n8n instance for Google Sheets, Google Gemini (PaLM) API, and Slack. Google Sheets Node ("Get row(s) in sheet"): Select your Google Sheet containing the tweet data. Choose the specific sheet name from the dropdown. Ensure your sheet has a column named action taken so the filter works correctly. Google Gemini Chat Model Node: Select your Google Gemini credential from the dropdown. Slack Nodes ("Send a message" & "Send a message1"): In the first Slack node, choose the channel for the summary report. In the second Slack node, choose the channel for urgent alerts. Save and Activate: Once configured, save your workflow and turn it on!

This n8n workflow template creates an intelligent data analysis chatbot that can answer questions about data stored in Google Sheets using OpenAI's GPT-5 Mini model. The system automatically analyzes your spreadsheet data and provides insights through natural language conversations. What This Workflow Does Chat Interface**: Provides a conversational interface for asking questions about your data Smart Data Analysis**: Uses AI to understand column structures and data relationships Google Sheets Integration**: Connects directly to your Google Sheets data Memory Buffer**: Maintains conversation context for follow-up questions Automated Column Detection**: Automatically identifies and describes your data columns 🚀 Try It Out! 1. Set Up OpenAI Connection Get Your API Key Visit the OpenAI API Keys page. Go to OpenAI Billing. Add funds to your billing account. Copy your API key into your OpenAI credentials in n8n (or your chosen platform). 2. Prepare Your Google Sheet Connect Your Data in Google Sheets Data must follow this format: Sample Marketing Data First row** contains column names. Data should be in rows 2–100. Log in using OAuth, then select your workbook and sheet. 3. Ask Questions of Your Data You can ask natural language questions to analyze your marketing data, such as: Total spend** across all campaigns. Spend for Paid Search only**. Month-over-month changes** in ad spend. Top-performing campaigns** by conversion rate. Cost per lead** for each channel. 📬 Need Help or Want to Customize This? 📧 rbreen@ynteractive.com 🔗 LinkedIn 🔗 n8n Automation Experts