Workflow Templates

Instantly access live Bybit Spot Market data in Telegram! This workflow integrates the Bybit REST v5 API with Telegram and optional GPT-4.1-mini formatting, delivering real-time crypto market insights such as latest prices, order books, trades, and candlesticks — all presented in clean, structured Telegram messages. 🔎 How It Works A Telegram Trigger node listens for incoming user requests. User Authentication checks the Telegram ID against an allowlist. A Session ID is created from chat.id for lightweight memory across interactions. The Bybit AI Agent orchestrates multiple API requests via HTTP nodes: Latest Price & 24h Stats (/v5/market/tickers?category=spot&symbol=BTCUSDT) Order Book Depth (/v5/market/orderbook?category=spot&symbol=BTCUSDT&limit=50) Best Bid/Ask Snapshot (from order book top levels) Candlestick Data (Klines) (/v5/market/kline?category=spot&symbol=BTCUSDT&interval=15&limit=200) Recent Trades (/v5/market/recent-trade?category=spot&symbol=BTCUSDT&limit=100) Utility Nodes process and format the response: Calculator → computes spreads, mid-prices, % changes. Think → transforms JSON into human-readable reports. Simple Memory → stores symbol, sessionId, and previous inputs. Message Splitter ensures responses over 4000 characters are broken into chunks. Final results are sent back to Telegram in structured, readable format. ✅ What You Can Do with This Agent Get real-time Bybit prices & 24h statistics. Retrieve spot order book depth and liquidity snapshots. Analyze candlesticks (OHLCV) across multiple timeframes. View recent trades for market activity. Monitor bid/ask spreads & mid-prices with calculated values. Receive Telegram-ready reports, cleanly formatted and auto-split when long. 🛠️ Setup Steps Create a Telegram Bot Use @BotFather to create a bot and get a token. Configure in n8n Import Bybit AI Agent v1.02.json. Update the User Authentication node with your Telegram ID. Add your Telegram API credentials (bot token). Add OpenAI API key (Optional) Add Bybit API key if you want AI-enhanced formatting. Deploy and Test Activate the workflow in n8n. Send a message like BTCUSDT to your bot. Instantly receive Bybit Spot data inside Telegram. 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock Bybit Spot Market insights in Telegram — fast, structured, 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

How it works: This template turns rows in a Google Sheet into polished newsletter drafts in Notion using an AI writing agent. You click Execute workflow in n8n. It fetches all rows marked N8n Status = Pending, generates a draft from Newsletter Title and About the Newsletter, creates a Notion page, writes the full draft, then flips the sheet row to Done before moving to the next one. Before you start (use your own credentials): Create and select your credentials in n8n: Google Sheets (OAuth2 or Service Account) with access to the target spreadsheet. Notion (Internal Integration) with access to the target database. OpenAI (API Key) for the Chat Model. Replace any placeholders in nodes: Spreadsheet ID/URL and sheet/tab name (e.g., newsletter). Notion Database ID / Parent and any page or block IDs used by HTTP Request nodes. OpenAI model name if you prefer a different model. Give the Notion integration access to the database (Share → Invite the integration). Do not hard-code secrets in nodes. Store them in n8n Credentials. Step-by-step: Manual Trigger Start the run with When clicking ‘Execute workflow’. Fetch pending input (Google Sheets → Get row(s) in sheet) Read the newsletter tab and pull only rows where N8n Status = Pending. Iterate (Split In Batches → Loop Over Items) Process one sheet row at a time for stable memory use and pacing. Generate the newsletter (AI Agent + OpenAI Chat Model) AI Agent loads the “System Role Instructions” that define style, sections, and format. Pass Newsletter Title and About the Newsletter to the OpenAI Chat Model to produce the draft. Create a Notion page (Notion → Create Page) Create a page in your Newsletter Automation database with the page title set from Newsletter Title. Prepare long content for Notion (Code) Split the AI output into \~1,800-character chunks and wrap as Notion paragraph blocks to avoid payload limits. Write content blocks to Notion (HTTP Request → UpdateNotionBlock) Send a PATCH request to append all generated blocks so the full draft appears on the page. Mark the sheet row as done (Google Sheets → Update row in sheet) Update N8n Status = Done for the processed Newsletter Title. Continue the loop Return to Split In Batches for the next pending row until none remain. Tools integration: Google Sheets** — input queue and status tracking (Pending → Done) OpenAI** — LLM that writes the draft from provided fields Notion** — destination database for each draft page n8n Code + HTTP Request** — chunking and Notion API block updates Want auto-runs? Add a Cron trigger before step 2 and keep the flow unchanged.

Instantly fetch live Gate.io Spot Market data directly in Telegram! This workflow integrates the Gate.io REST v4 API with GPT-4.1-mini-powered AI and Telegram, giving traders real-time access to price action, order books, candlesticks, and trade data. Perfect for crypto traders, analysts, and DeFi builders who need fast and reliable exchange insights. ⚙️ How It Works A Telegram bot listens for user queries (e.g., "BTC_USDT"). The workflow securely processes the request, authenticates the user, and attaches a sessionId. The Gate AI Agent orchestrates data retrieval via Gate.io Spot Market API, including: ✅ Latest Price & 24h Stats (/spot/tickers) ✅ Order Book Depth (with best bid/ask snapshots) ✅ Klines (candlesticks) for OHLCV data ✅ Recent Trades (up to 100 latest trades) Data is optionally cleaned using Calculator (for spreads, midpoints, % changes) and Think (for formatting). An AI-powered formatter (GPT-4.1-mini) structures results into Telegram-friendly reports. The final Gate.io Spot insights are sent back instantly in HTML-formatted Telegram messages. 💡 What You Can Do with This Agent This AI-driven Telegram bot enables you to: ✅ Track real-time spot prices for any Gate.io pair ✅ Monitor order book depth (liquidity snapshots) ✅ View recent trades for activity insights ✅ Analyze candlesticks across multiple intervals ✅ Compare bid/ask spreads with calculated metrics ✅ Get clean, structured data without raw JSON clutter 🛠️ Setup Steps Create a Telegram Bot Use @BotFather on Telegram to create a bot and obtain an API token. Configure Telegram API Credentials in n8n Add your bot token under Telegram API credentials. Replace the placeholder Telegram ID in the Authentication node with your own. Import & Deploy Workflow Load Gate AI Agent v1.02.json into n8n. Configure your OpenAI API key for . Configure your Gate api key. Save and activate the workflow. Run & Test Send a query (e.g., "BTC_USDT") to your Telegram bot. Receive instant Gate.io market insights formatted for easy reading. 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock real-time Gate.io Spot Market insights directly in Telegram — fast, clean, and reliable. 🧾 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

This n8n workflow automates the process of creating high-quality, scroll-stopping LinkedIn posts based on live research, AI insight generation, and Google Sheets storage. Instead of relying on recycled AI tips or boring summaries, this system combines real-time trend discovery via Perplexity, structured idea shaping with GPT-4, and content generation tailored to a bold, human LinkedIn voice. The workflow saves each post idea (with image prompt, tone, and summary) to a Google Sheet, sends you a Telegram alert, and even formats your content for direct publishing. Perfect for solopreneurs, startup marketers, or anyone who posts regularly on LinkedIn and wants to sound original, not robotic. Who’s it for Content creators and solopreneurs building an audience on LinkedIn Startup teams, PMs, and tech marketers looking to scale thought leadership Anyone tired of generic AI-generated posts and craving structured, edgy output How it works Daily trigger at 6 AM starts the workflow. Pulls recent post history from Google Sheets to avoid repeated ideas. Perplexity AI scans the web Generates 3 structured post ideas (including tone, hook, visual prompt, and summary). GPT-4 refines each into a bold, human-style LinkedIn post, following detailed brand voice rules. Saves everything to Google Sheets (idea, content, image prompt, post status). Sends a Telegram notification to alert you new ideas are ready. How to set up Connect your Perplexity, OpenAI, Google Sheets, and Telegram credentials. Point to your preferred Google Sheet and sheet tab for storing post data. Adjust the schedule trigger if you want more or fewer ideas per week. (Optional) Tweak the content style prompt to match your personal tone or niche. Requirements Perplexity API account OpenAI API access (GPT-4 or GPT-4-mini) Telegram bot connected to your account Google Sheets document with appropriate column headers How to customize the workflow Change the research sources or prompt tone (e.g., more tactical, more spicy, more philosophical) Add an image generation tool to turn prompts into visuals for each post Filter or tag ideas based on type (trend, tip, story, etc.) Post automatically via LinkedIn API or Buffer integration

🚀 AI Marketing Campaign Generator Upload product image + details → Get complete professional marketing campaign with 5 custom-generated assets automatically. 🤖 AI Model GPT-4o Mini (OpenAI) - For campaign strategy | Prompt Image generation GPT Image-1 (OpenAI) - For visual asset generation 🔑 Required API Keys OpenAI API - AI analysis & image generation Google Drive API - Asset storage & organization 🎯 What It Generates 5 Marketing Assets: Instagram Post, Instagram Story, Website Banner, Ad Creative, Testimonial Graphic Brand Strategy: Colors, tone, positioning from your product image Campaign Strategy: Messaging, target audience, objectives Visual Analysis: Extracts colors, materials, styling from uploaded image ⚙️ Setup Import JSON to n8n Add OpenAI & Google Drive credentials Configure Google Drive folder for asset storage Deploy form webhook Test with product image upload 📱 How It Works Upload product image → AI analyzes visual + text → Generates complete campaign → Creates 5 custom marketing assets → Saves to Google Drive

Auto-detect news from n8n and turn into a human-approved LinkedIn post. gotoHuman is used to keep a human in the loop. There you can manually edit the AI draft of the post or request to regenerate it. How it works The workflow is triggered each day to fetch the latest version of https://blog.n8n.io. It then fetches each article, checks if it was published in the last 24 hours and uses an LLM to summarize it. An LLM then drafts a related LinkedIn post which is sent to gotoHuman for approval. In gotoHuman, the reviewer can manually edit it or ask to regenerate it with the option to even edit the prompt (Retries loop back to the AI Draft LinkedIn Post node) Approved Posts are automatically published to LinkedIn How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up your credentials for gotoHuman, OpenAI, and LinkedIn In gotoHuman, select and create the pre-built review template "Blog scraper agent" or import the ID: sMxevC9tSAgdfWsr6XIW Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (human supervision) OpenAI (summary, draft) LinkedIn How to customize Change the blog URL to monitor. Adapt to its' HTML structure Provide the AI Draft LinkedIn Post with examples of previous posts so it picks up your writing style (consider adding gotoHuman's dataset of approved examples) Use the workflow to target other publications, like your newsletter, blog or other socials

How it works This workflow automates customer feedback management by capturing reviews through a form, analyzing them with AI for sentiment and insights, and then creating structured tasks across Monday.com, ClickUp, and HubSpot. It ensures that customer concerns are categorized, prioritized, and assigned to the right teams with actionable metadata. Step-by-step Trigger & Input The workflow starts when a customer submits the Feedback Form containing their Name, Message, Rating, and Product/Service. The submitted data is pre-processed with a Code node to cleanly extract fields for analysis. AI Analysis & Processing The extracted review is sent to OpenAI GPT-4 for analysis. AI identifies sentiment, sentiment score, category (e.g., product, service, support, delivery, pricing), department, priority, required actions, keywords, and suggested response tone. A Data Processing node enriches the output with due dates, task titles, structured descriptions, and fallback handling in case of parsing issues. Structured Output Generation An AI Agent and OpenAI Chat model transform the enriched data into a strict JSON format that is compatible with Monday.com, ClickUp, and HubSpot. This ensures consistent field order, formatting, and metadata for all downstream integrations. Task Creation in Platforms The structured task data is automatically pushed to: Monday.com → Creates an item in a specified board. ClickUp → Creates a task with mapped fields and priority. HubSpot → Creates an engagement task in CRM with due date and priority. Benefits Automates end-to-end customer feedback analysis and task creation. Ensures structured, AI-driven insights for actionable responses. Reduces manual work in categorizing and assigning reviews. Keeps customer feedback synchronized across multiple platforms (Monday.com, ClickUp, HubSpot). Improves response time by prioritizing high-impact feedback with due dates.

📊 Automated Website Traffic Tracker with Google Sheets Logging Track website traffic and backlinks effortlessly using the Website Traffic Checker - Ahref API. This n8n workflow automates data retrieval and logging into Google Sheets, making it perfect for SEO professionals and digital marketers. 🧩 What This Workflow Does (Summary) Accepts a domain via a simple web form. Sends the domain to Website Traffic Checker - Ahref API. If successful: Extracts backlink and traffic data. Appends the results to two separate Google Sheets. If failed: Sends an email alert with domain and status code. 🔧 Node-by-Node Explanation | Node | Purpose | | ---------------------------------- | ---------------------------------------------------------------------------------------------------------------- | | 🟢 Form Trigger | Starts the workflow when a domain is submitted via form. | | 🟩 Set Domain Value | Stores the submitted domain into a variable. | | 🌐 HTTP Request | Calls Website Traffic Checker - Ahref API. | | ✅ IF Node | Checks if the API responded with statusCode = 200. | | ❌ Email Node (Fail) | Sends an alert email if API fails. | | 📦 Code (Backlink Info) | Extracts backlink data from API response. | | 📄 Google Sheet: Backlink Info | Appends backlink data to a sheet. | | 📦 Code (Traffic Info) | Extracts traffic data from API response. | | 📄 Google Sheet: Traffic Data | Appends traffic metrics to another sheet. | 📁 Google Sheet Columns Backlink Info Sheet | Column | Description | | ------------------ | --------------------------- | | website | Domain submitted | | ascore | Authority score | | referring domain | Number of referring domains | | total backlinks | Total backlinks | Traffic Data Sheet | Column | Description | |----------------------|---------------------------------------------| | accuracy | Accuracy level of the traffic data | | bounce_rate | Bounce rate percentage | | desktop_share | Percentage of traffic from desktop devices | | direct | Direct traffic sources | | display_ad | Display ad traffic sources | | display_date | Date when traffic data was captured | | mail | Traffic from email campaigns | | mobile_share | Percentage of traffic from mobile devices | | pages_per_visit | Average number of pages per visit | | paid | Paid traffic sources | | prev_bounce_rate | Bounce rate in the previous period | | prev_direct | Previous period's direct traffic | | prev_display_ad | Previous period's display ad traffic | | prev_mail | Previous period's email traffic | | prev_pages_per_visit | Previous period's pages per visit | | prev_referral | Previous period's referral traffic | | prev_search_organic | Previous organic search traffic | | prev_search_paid | Previous paid search traffic | | prev_social_organic | Previous organic social traffic | | prev_social_paid | Previous paid social traffic | | prev_time_on_site | Previous time spent on site | | prev_users | Number of users in the previous period | | prev_visits | Visits in the previous period | | rank | Global rank of the website | | referral | Referral traffic | | search | Total search traffic | | search_organic | Organic search traffic | | search_paid | Paid search traffic | | social | Total social traffic | | social_organic | Organic social traffic | | social_paid | Paid social traffic | | target | Targeted country or demographic | | time_on_site | Average time spent on site | | unknown_channel | Traffic from unknown sources | | users | Number of unique users | | visits | Total number of visits | 🔐 How to Configure 🔑 Get API Key Go to Website Traffic Checker - Ahref API on RapidAPI. Sign in or create a free RapidAPI account. Subscribe to the API plan. Copy your x-rapidapi-key from the Endpoints tab. 📝 Add Key in n8n Go to your HTTP Request node. Under Headers, set: x-rapidapi-host = website-traffic-checker-ahref.p.rapidapi.com x-rapidapi-key = your API key 📄 How to Setup Google Sheets in n8n Connect a Google account via Google Sheets credentials in n8n. Use the full Google Sheet URL in the documentId field. Set correct Sheet name or GID (e.g., "Traffic Data"). Use Auto Map or Custom Map to define columns. > Make sure your Google Sheet has edit access and headers already created. 🧠 Use Case & Benefits 👤 Ideal For: SEO analysts Digital marketers Agencies managing multiple clients Web analytics consultants ✅ Benefits: Fully automated data collection. No manual copy-paste** from tools. Real-time insights delivered to Google Sheets. Easy monitoring of backlinks and traffic trends.

Automating WhatsApp replies in Go High Level with Redis and Anthropic Description Integrates GHL + Wazzap with Redis and an AI Agent using ClientInfo to process messages, generate accurate replies, and send them via a custom field trigger. Who’s it for This workflow is for businesses using GoHighLevel (GHL), including the Wazzap plugin for WhatsApp, who want to automate inbound SMS/WhatsApp replies with AI. It’s ideal for teams that need accurate, data-driven responses from a predefined ClientInfo source and want to send them back to customers without paying for extra inbound automations. How it works / What it does Receive message in n8n via Webhook from GHL (Customer Replied (SMS) automation). WhatsApp messages arrive the same way using the Wazzap plugin. Filter message type: If audio → skip processing and send fallback asking for text. If text → sanitize by fixing escaped quotes, escaping line breaks/carriage returns/tabs, and removing invalid fields. Buffer messages in Redis to group multiple messages sent in a short window. Run AI Agent using the ClientInfo tool to answer only with accurate service/branch data. Sanitize AI output before sending back. Update GHL contact custom field (IA_answer) with the AI’s response. Send SMS reply automatically via GHL’s outbound automation triggered by the updated custom field. How to set up In GHL, create: Inbound automation: Trigger on Customer Replied (SMS) → Send to your n8n Webhook. Outbound automation: Trigger when IA_answer is updated → Send SMS to the contact. Create a custom field named IA_answer. Connect Wazzap in GHL to handle WhatsApp messages. Configure Redis in n8n (host, port, DB index, password). Add your AI model credentials (Anthropic, OpenAI, etc.) in n8n. (Optional) Set up the Google Drive Excel Merge sub-workflow to enrich ClientInfo with external data. Requirements GoHighLevel sub-account API key**. Anthropic (Claude)** API key or another supported LLM provider. Redis database** for temporary message storage. GHL automations: one for inbound messages to n8n, one for outbound replies when **IA\_answer is updated. GHL custom field: **IA\_answer to store and trigger replies. Wazzap plugin** in GHL for WhatsApp message handling. How to customize the workflow Add more context or business-specific data to the AI Agent prompt so replies match your brand tone and policies. Expand the ClientInfo dataset with additional services, branches, or product details. Adjust the Redis wait time to control how long the workflow buffers messages before replying.

How It Works User sends a reminder request via Telegram (e.g., “Remind me to clean the garage tomorrow at 12 pm”). The request is parsed by AI Agent and stored in Airtable with a unique reminder code. The reminder workflow checks Airtable at scheduled intervals and sends a Telegram notification when the reminder is due. Each reminder includes a unique cancel code (e.g., Reply 4936 to stop this reminder). If the user replies with the code, the bot searches Airtable, deletes the reminder, and confirms the deletion in Telegram. If the code doesn’t exist, the bot replies “Code not found.” ⚡ Setup Steps Create a Telegram Bot Use BotFather on Telegram. Run /newbot and copy your bot token. Add the token in your Telegram Trigger and Telegram Send nodes in n8n. Set Up Airtable Create an Airtable base called REMINDER-TABLE. Add a table with fields: title (Text) – reminder text due_at (Date/Time) – when the reminder is due chat_id (Text) – user’s Telegram chat ID code (Number/Text) – unique cancel code Generate an API key / Personal Access Token and connect it in n8n. Import This Workflow In n8n, click Import Workflow. Paste the JSON template. Connect your Telegram and Airtable credentials. Activate the Workflow Start the workflow in n8n Cloud or Self-Hosted. Send a test reminder in Telegram (e.g., “Remind me in 5 minutes to call mom”). When notified, reply with the cancel code to test deletion. Optional Customizations Modify reminder frequency (Every 5 minutes node). Change reminder message formatting in the Format Message node. Add logging/analytics by connecting Google Sheets or another DB. ⚡ Result: You now have a fully automated AI-powered Telegram Reminder Bot with Airtable storage, cancel codes, and real-time notifications!

📚 Telegram RAG Chatbot with PDF Document & Google Drive Backup An upgraded Retrieval-Augmented Generation (RAG) chatbot built in n8n that lets users ask questions via Telegram and receive accurate answers from uploaded PDFs. It embeds documents using OpenAI and backs them up to Google Drive. 👤 Who’s it for Perfect for: Knowledge workers who want instant access to private documents Support teams needing searchable SOPs and guides Educators enabling course material Q&A for students Individuals automating personal document search + cloud backup ⚙️ How it works / What it does 💬 Telegram Chat Handling User sends a message Triggered by the Telegram bot, the workflow checks if the message is text. Text message → OpenAI RAG Agent If the message is text, it's passed to a GPT-powered document agent. This agent: Retrieves relevant info from embedded documents using semantic search Returns a context-aware answer to the user Send answer back The bot sends the generated response back to the Telegram user. Non-text input fallback If the message is not text, the bot replies with a polite unsupported message. 📄 PDF Upload and Embedding User uploads PDFs manually A manual trigger starts the embedding flow. Default Data Loader Reads and chunks the PDF(s) into text segments. Insert to Vector Store (Embedding) Text chunks are embedded using OpenAI and saved for retrieval. Backup to Google Drive The original PDF is uploaded to Google Drive for safekeeping. 🛠️ How to set up Telegram Bot Create via BotFather Connect it to the Telegram Trigger node OpenAI Use your OpenAI API key Connect the Embeddings and Chat Model nodes (GPT-3.5/4) Ensure both embedding and querying use the same Embedding node Google Drive Set up credentials in n8n for your Google account Connect the “Backup to Google Drive” node PDF Ingestion Use the “Upload your PDF here” trigger Connect it to the loader, embedder, and backup flow ✅ Requirements Telegram bot token OpenAI API key (GPT + Embeddings) n8n instance (self-hosted or cloud) Google Drive integration PDF files to upload 🧩 How to customize the workflow | Feature | How to Customize | |-------------------------------|-------------------------------------------------------------------| | Auto-ingest from folders | Add Google Drive/Dropbox watchers for new PDFs | | Add file upload via Telegram | Extend Telegram bot to receive PDFs and run the embedding flow | | Track user questions | Log Telegram usernames and questions to a database | | Summarize documents | Add summarization step on upload | | Add Markdown or HTML support | Format replies for better Telegram rendering | Built with 💬 Telegram + 📄 PDF + 🧠 OpenAI Embeddings + ☁️ Google Drive + ⚡ n8n

How It Works The webhook receives incoming profiles and extracts relevant demographic, financial, and credential data. The workflow then queries the programs database to identify suitable options, while the AI generates personalized recommendations based on eligibility and preferences. A formal recommendation letter is created, followed by a drafted outreach email tailored to coordinators. Parsers extract structured data from the letters and emails, a Slack summary is prepared for internal visibility, and the final response is sent to the appropriate recipients. Setup Steps Configure AI agents by adding OpenAI credentials and setting prompts for the Program Matcher, Letter Writer, and Email Drafter. Connect the programs database (Airtable or PostgreSQL) and configure queries to retrieve matching program data. Set up the webhook by defining the trigger endpoint and payload structure for incoming profiles. Configure JSON parsers to extract relevant information from profiles, letters, and emails. Add the Slack webhook URL and define the summary format for generated communications. Prerequisites OpenAI API key Financial programs database Slack workspace with webhook User profile structure (income, GPA, demographics) Use Cases Universities automating 500+ annual applicant communications Scholarship foundations personalizing outreach at scale Customization Add multilingual support for international applicants Include PDF letter generation with signatures Benefits Reduces communication time from 30 to 2 minutes per applicant, ensures consistent professional quality