Workflow Templates

How it works • Receives a user message from a chat • Uses an LLM node to understand user intent and generate a response • Retrieves and stores conversation memory in a database (Supabase) • Fetches real-time product or business data from an external API (e.g. Shopify) • Applies custom logic to ensure a consistent, human-like tone • Sends a contextual response back to the user Set up steps • Import the workflow into n8n • Create and connect the required credentials (LLM, database, API) • Configure environment variables and placeholders • Adjust the prompt and logic to your specific business needs • Test the workflow using sample user messages

Who's it for This template is perfect for content creators, researchers, marketers, and Reddit enthusiasts who want to stay updated on specific topics without manually browsing Reddit. If you need curated, AI-summarized Reddit insights delivered directly to your Telegram, this workflow automates the entire process. What it does This workflow transforms your Telegram into a powerful Reddit search engine with AI-powered curation. Simply send any keyword to your Telegram bot, and it will: Search Reddit across 4 different sorting methods (top, hot, relevance) to capture diverse perspectives Automatically remove duplicate posts from multiple search results Filter posts based on quality metrics (minimum 50 upvotes, recent content within 15 days, non-empty text) Extract key information: title, upvotes, subreddit, publication date, URL, and content Generate a clean, Telegram-formatted summary using Google Gemini AI Deliver structured results with direct links back to you instantly The AI summary includes post titles, upvote counts, timestamps, brief insights, and direct Reddit links—all formatted for easy mobile reading. How it works Step 1: Telegram Trigger User sends a search keyword via Telegram (e.g., "voice AI agents") Step 2: Parallel Reddit Searches Four simultaneous Reddit API calls search with different sorting algorithms: Top posts (all-time popularity) Hot posts (trending now) Relevance (best keyword matches) Top posts (duplicate for broader coverage) Step 3: Merge & Deduplicate All search results combine into one stream, then a JavaScript code node removes duplicate posts by comparing post IDs Step 4: Field Extraction The Edit Fields node extracts and formats: Post title Upvote count Subreddit name and subscriber count Publication date (converted from Unix timestamp) Reddit URL Post content (selftext) Step 5: Quality Filtering The Filter node applies three conditions: Minimum 50 upvotes (ensures quality) Non-empty content (excludes link-only posts) Posted within last 15 days (ensures freshness) Step 6: Data Aggregation All filtered posts aggregate into a single dataset for AI processing Step 7: AI Summarization Google Gemini AI analyzes the aggregated posts and generates a concise, Telegram-formatted summary with: Emoji indicators for better readability Point-wise breakdown of top 5-7 posts Upvote counts and relative timestamps Brief 1-2 sentence summaries Direct Reddit links Step 8: Delivery The formatted summary sends back to the user's Telegram chat Requirements Credentials needed: Reddit OAuth2 API** - For searching Reddit posts (Get Reddit API credentials) Google Gemini API** - For AI-powered summarization (Get Gemini API key) Telegram Bot Token** - For receiving queries and sending results (Create Telegram Bot) n8n Version: Self-hosted or Cloud (latest version recommended) Setup Instructions 1. Create Telegram Bot Message @BotFather on Telegram Send /newbot and follow prompts Copy the bot token for n8n credentials Start a chat with your new bot 2. Configure Reddit API Go to https://www.reddit.com/prefs/apps Click "Create App" → Select "script" Note your Client ID and Secret Add credentials to n8n's Reddit OAuth2 3. Get Gemini API Key Visit https://ai.google.dev/ Create a new API key Add to n8n's Google Gemini credentials 4. Import & Configure Workflow Import this template into n8n Add your three credentials to respective nodes Remove pinData from "Telegram Trigger" node (test data) Activate the workflow 5. Test It Send any keyword to your Telegram bot (e.g., "machine learning") Wait 10-20 seconds for results Receive AI-summarized Reddit insights How to customize Adjust Quality Filters: Edit the Filter node conditions: Change minimum upvotes (currently 50) Modify time range (currently 15 days) Add subreddit subscriber minimum Limit Results: Add a Limit node after Filter to cap results at 10-15 posts for faster processing Change Search Strategies: Modify the Reddit nodes' "sort" parameter: new - Latest posts first comments - Most commented controversial - Controversial content Customize AI Output: Edit the AI Agent's system message to: Change summary style (more/less detail) Adjust formatting (bullets, numbered lists) Modify language/tone Add emoji preferences Add User Feedback: Insert a Telegram Send Message node after the trigger: "🔍 Searching Reddit for '{{ $json.message.text }}'... Please wait." Enable Error Handling: Create an Error Workflow: Add Error Trigger node Send fallback message: "❌ Search failed. Please try again." Sort by Popularity: Add a Sort node after Filter: Field: upvotes Order: Descending

Brief Description: Your personal finance assistant inside Telegram! Chat naturally with an AI agent to track expenses, log income, view spending history, and manage your budget—all through simple conversation. No forms, no spreadsheets, just chat. How it works: Chat** – Send expense or income details naturally via Telegram Understand** – AI agent parses your message and determines the action (add/get/delete) Execute** – Performs CRUD operations on Google Sheets (expense & income tabs) Respond** – Replies with confirmations, summaries, or requested data with formatted responses Set up steps: ⏱️ Setup time: ~15-20 minutes Create a Telegram bot via BotFather and get your API token. Connect Google Gemini (or your preferred LLM) for the AI agent. Set up Google Sheets with separate tabs for expenses and income. Configure the Google Sheets tools with your sheet IDs and column mappings.

Decodo-powered review aggregation to Google Sheets with Gemini analysis and Telegram alerts Who’s it for This template is designed for e-commerce owners, marketplace sellers, product teams, and CX/reputation managers who need an automated way to monitor product reviews. It’s ideal for anyone tracking Amazon listings or other URLs and wants AI-powered sentiment, summaries, and alerts without manual scraping. What it does This workflow automatically retrieves product URLs from Google Sheets, scrapes reviews using Decodo (community node), formats the extracted data, and analyzes it using Gemini AI. It produces both sentiment classification and a concise review summary. Results are saved to a Google Sheets log, and the workflow sends a Telegram alert whenever new reviews are processed. The entire pipeline runs on a schedule, ensuring continuous and fully automated monitoring. How it works A scheduled trigger starts the workflow. Google Sheets provides the list of product URLs. Each URL is processed through Decodo to extract user reviews. A Code node formats the raw review data. Gemini performs sentiment analysis and summarization. Results are appended to a Google Sheets review log. A Telegram message delivers a real-time summary and sentiment snapshot. Sign up for Decodo — get better pricing here Requirements Decodo API credentials (self-hosted community node) Google Sheets API Key Gemini AI credentials Telegram Bot + Chat ID n8n self-hosted (required for Decodo community node) How to set up Add your Decodo credentials to the Decodo node. Update both Google Sheets nodes with your document ID and sheet names. Insert your Gemini API key. Provide your Telegram Bot token and Chat ID. Adjust the schedule interval to your preference. Run the workflow once to validate mappings and output fields. How to customize Modify the Code node to change how reviews are formatted. Extend Gemini prompts for deeper analysis (keywords, categories, toxicity). Add filters to trigger alerts only on negative sentiment. Append additional metadata (timestamps, product IDs) to the Sheets log. Add email, Slack, or other communication channels. Disclaimer (Community Node) This workflow uses a community node (Decodo) and therefore works only on self-hosted n8n instances. Be sure to install and trust the package before using it.

✨ Try It Out! Sync your Linear issues to Todoist automatically with this n8n workflow. When an issue is created, updated, or completed in Linear, a corresponding task is created, updated, or closed in Todoist. ⚙️ How It Works Triggered by issue changes via linearTrigger Routes based on action (create, update, remove) Checks if a matching Todoist task already exists (via issue ID) If the issue has: A due date And is assigned to you (youremail@example.com) ➤ Then it creates or updates the task accordingly If the issue is marked Done, the Todoist task is closed If it's deleted in Linear, the Todoist task is also removed Sub-issues get enriched with their parent title for clarity 🛠️ Customization Replace youremail@example.com with your Linear email in the IF nodes Adjust which states are synced (e.g. “In Progress”, “Todo”...) Customize the Todoist project, labels, or title formatting ⚠️ Bi-directional Sync? This workflow is one-way (Linear ➜ Todoist). Bi-directional syncing might be possible but isn’t handled here—it would be a cool upgrade! ✅ Requirements n8n with OAuth2 access to Linear and Todoist Your Linear email set in the workflow for filtering A target Todoist project (default: Inbox) 💬 Need Help? Ask in the n8n Forum or join the Discord. Happy Automating! 🚀

This template automates posting to Instagram Business and Facebook Pages using the Meta Graph API. It supports both short-lived and long-lived tokens, with a secure approach using System User tokens for reliable, ongoing automation. Includes detailed guidance for authentication, token refresh logic, and API use. Features: 📸 Publish to Instagram via /media + /media_publish 📘 Post to Facebook Pages via /photos 🔐 Long-lived token support via Meta Business System User ♻️ Token refresh support using staticData in n8n 🧠 In-line sticky note instructions Use Cases: Schedule and publish branded social media content Automate marketing flows with CRM + social sync Empower internal teams or clients to post without manual steps Tags: Instagram, Facebook, Meta Graph API, Social Media, Token Refresh, Long-Lived Token, Marketing Automation, System User

What it does This workflow automates content syndication and posting to LinkedIn and X/Twitter. It takes existing long-form articles and generates from them engaging social posts optimized for each platform. The workflow takes links to existing articles from a given sitemap. It randomly selects the next article to republish, making sure that articles are not repeated. For simplicity it uses a Google spreadsheet to track the articles that have already been republished. Requirements Existing sitemap Google Gemini API key (or other model provider's key) Google Sheets credentials LinkedIn credentials X/Twitter credentials How to set up Adjust the schedule as needed (by default triggers daily at noon) Configure parameters in the parameters node: Set the sitemap URL (e.g. https://example.com/sitemap.xml) Set the language of the posts Enable/disable channels as needed Configure Google Sheets credentials for get processed articles and add processed articles nodes Create a new Google spreadsheet document with "url", "status", "timestamp", "LinkedIn post" and "Twitter post" columns Specify that spreadsheet document in get processed articles node (other nodes will take it from here) Add Google Gemini API key for the model (or change to any other model of choice) Configure LinkedIn and X/Twitter credentials for publishing

Reimbursements used to be a headache. Employees submitted receipts through emails, managers got stuck in approval chains, and finance teams spent hours checking for duplicates, updating sheets, and sending follow-up emails. So, we automated it. Using n8n, we built a smart Employee Reimbursement Workflow that does everything… in just a few clicks. Here’s how it works.] When an employee uploads a receipt, the workflow first checks for duplicates. If the file is new, it’s uploaded to Google Drive instantly. Next, a unique tracking ID is generated—no manual typing, no mistakes. Then, all the details are logged in Google Sheets in real time, ready for records. And finally, the Finance team gets an email notification with everything they need to process the payment—no chasing, no missing info. The impact? We’ve cut processing time by over 70%, reduced errors to nearly zero, and made the entire process stress-free for employees and finance alike. This isn’t just automation—it’s giving people their time back.

This workflow ensures gender inclusive language in Mattermost channels. If someone addresses the group with “guys” or “gals”, a bot promptly replies with: "May I suggest “folks” or “y'all”? We use gender inclusive language here. 😄". Webhook node**: triggers the workflow when a new message is posted in Mattermost. IF node**: verifies if the message includes the words "guys" or "gals". If false, it does not take any action. If true, it triggers the Mattermost node. Mattermost node**: posts the language warning message in the Mattermost channel.

🌐 AI Customer Support Assistant - Cloud Version What this workflow does: This AI-powered customer support automation processes incoming support requests via email or chat, analyzes them using AI, retrieves relevant context, and generates draft responses for support agents. Key Features: ✅ Multi-channel Input: Email & chat triggers ✅ AI-powered Analysis: Extracts sentiment, urgency, and key information ✅ Context Integration: Combines product manuals, ERP data, and support history ✅ Draft Response Generation: Creates professional responses in German ✅ Human-in-the-loop: Approval workflow before sending to customers Demo Instructions: Use the Chat interface to test with sample customer queries Or send test emails to trigger the email workflow Watch how AI analyzes and generates contextual responses

Description This workflow automatically finds trending headlines and content from various sources and posts them to your social media accounts. It helps maintain an active social media presence without the daily manual effort of content curation. Overview This workflow automatically scrapes trending headlines and content from various sources and posts them to your social media accounts. It uses Bright Data to access content and n8n to schedule and post to platforms like Twitter, LinkedIn, or Facebook. Tools Used n8n:** The automation platform that orchestrates the workflow. Bright Data:** For scraping trending content from news sites, blogs, or other sources without getting blocked. Social Media APIs:** To post content to your accounts. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Configure Bright Data: Add your Bright Data credentials to the Bright Data node. Connect Social Media: Authenticate your social media accounts. Customize: Set your content preferences, posting schedule, and hashtag strategy. Use Cases Social Media Managers:** Automate content curation and posting. Content Creators:** Share trending topics in your niche. Businesses:** Maintain an active social media presence with minimal effort. Connect with Me Website:** https://www.nofluff.online YouTube:** https://www.youtube.com/@YaronBeen/videos LinkedIn:** https://www.linkedin.com/in/yaronbeen/ Get Bright Data:** https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #socialmedia #brightdata #contentcuration #scheduling #socialmediaautomation #contentmarketing #socialmediamanagement #autoposting #trendingcontent #n8nworkflow #workflow #nocode #socialmediatools #digitalmarketing #contentcalendar #socialmediapresence #headlinecuration #trendalerts #socialmediaschedule #contentautomation #socialmediamarketing #contentdistribution #automatedposting #socialmediastrategy

Emailing Using Google Sheet, Google Docs, and SMTP Automate personalized email campaigns using a Google Sheets contact list, a Google Docs template, and SMTP delivery. How It Works Google Docs** is used as the email template with variables: {{firstname}}, {{lastname}}, {{company}}, {{email}}. Google Sheet** contains your list of recipients (one per row). For each contact, the workflow merges personal data into the Google Docs template. Email is sent to each recipient via SMTP (batch size: 1). Use the Wait node to respect provider quotas. After sending, the workflow updates the "process" column of the Google Sheet with the date/time. How to Use Copy Templates: Google Docs Template Google Sheet Template Find each document’s ID (the text after /d/ and before /edit in the URL). Configure Workflow: Enter your Google Docs and Google Sheets IDs in the settings node. Set your email subject in the appropriate parameter. Set Up Credentials: Connect your Google account. Configure the SMTP node with your mail server details. Update Data: Edit the Google Docs template with your message and variables. Prepare your Google Sheet with these columns: email, firstname, lastname, company. Deploy and Test: Connect all nodes. Test with a small contact batch. Troubleshoot any node errors (indicated in red in n8n). Requirements Google Credentials & permissions**: For Sheets and Docs access. SMTP Server**: For email delivery (adjust Wait node for rate limits). n8n Version**: Tested on 1.105.2 (Ubuntu). Need Help? Contact me on LinkedIn or ask in the n8n Community Forum!