Workflow Templates

This workflow monitors targeted subreddits for potential sales leads using Reddit’s API, AI content analysis, Supabase, and Google Sheets. It is built specifically to discover posts from Reddit users who may benefit from a particular product or service. It can be easily customized for any market. 🔍 Features Targeted Subreddit Monitoring:** Searches multiple niche subreddits like smallbusiness, startup, sweatystartup, etc., using relevant keywords. AI-Powered Relevance Scoring:** Uses OpenAI GPT to analyze each post and determine if it’s written by someone who might benefit from your product, returning a simple “yes” or “no.” Duplicate Lead Filtering with Supabase:** Ensures you don’t email the same lead more than once by storing already-processed Reddit post IDs in a Supabase table. Content Filtering:** Filters out posts with no body text or no upvotes to ensure only high-quality content is processed. Lead Storage in Google Sheets:** Saves qualified leads into a connected Google Sheet with key data (URL, post content, subreddit, and timestamp). Email Digest Alerts:** Compiles relevant leads and sends a daily digest of matched posts to your team’s inbox for review or outreach. Manual or Scheduled Trigger:** Can be manually triggered or automatically scheduled (via the built-in Schedule Trigger node). ⚙️ Tech Stack Reddit API** – For post discovery OpenAI Chat Model** – For AI-based relevance filtering Supabase** – For lead de-duplication Google Sheets** – For storing lead details Gmail API** – For sending email alerts 🔧 Customization Tips Adjust Audience**: Modify the subreddits and keywords in the initial Code node to match your market. Change the AI Prompt**: Customize the prompt in the “Analysis Content by AI” node to describe your product or service. Search Comments Instead**: To monitor comments instead of posts, change type=link to type=comment in the Reddit Search node. Change Email Recipients**: Edit the Gmail node to direct leads to a different email address or format.

This n8n template from Intuz provides a complete and automated solution for creating and distributing sophisticated release notes. It connects to GitHub and JIRA to gather data from recent commits and completed tickets, using specific keywords or labels to identify key features for inclusion. This information is then processed by Google Gemini to automatically generate well-written, human-like release notes, which are then distributed via email to stakeholders, creating a complete, end-to-end communication pipeline for every new software release. This template is perfect for development teams looking to streamline their release process, ensure consistent communication, and eliminate the manual effort of writing release notes. How to use 1. Set up Credentials: GitHub JIRA (Software Cloud API) Google Gemini (or another PaLM/LLM provider) Your SMTP email server. 2. Configure the GitHub Trigger: Select the Github Trigger node. In the Repository Owner field, enter your GitHub username or organization name. In the Repository Name field, select the repository you want to monitor. 3. Verify the JIRA Integration: Important:** This workflow assumes your commit messages contain a JIRA key (e.g., "PROJ-123: Fix login bug"). Select the first Code node. It uses a regular expression ([A-Z]+-\\d+)/i to find JIRA keys. Adjust this expression if your team uses a different format. Select the Get an issue node and ensure your JIRA credentials are correctly configured. 4. Customize the AI Prompt: Select the Basic LLM Chain node. You can edit the prompt to change the tone, style, or structure of the generated HTML release note to match your company's standards. 5. Configure Email Notifications: Select the Send email node. Update the To Email field with the recipient's email address (e.g., a team distribution list or a stakeholder's email). Customize the From Email and Subject line as needed. 6. Activate Workflow: Save your changes and activate the workflow. Now, every push to your configured repository will trigger the automated generation and sending of release notes. Required Tools GitHub: To trigger the workflow on code pushes. JIRA: To fetch details about the tasks and bugs included in the release. Google Gemini: To intelligently generate the release note content. (You can swap this for another LLM supported by n8n). SMTP Provider: To send the final release note via email. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started

Automated SEO Intelligence Platform with DataForSEO and Claude Transform any company website into a detailed SEO audit report in minutes! This workflow combines real-time web scraping, comprehensive SEO data analysis, and advanced AI reasoning to deliver client-ready reports automatically. Perfect for digital agencies scaling their audit services, freelance SEO consultants automating research, or SaaS teams analyzing competitor strategies before sales calls. The Process Discovery Phase: Input a company name and website URL to kick things off. The system begins with website content extraction. Intelligence Gathering: A dedicated scraper sub-workflow extracts all website content and converts it to structured markdown. Strategic Analysis: LLMs process the scraped content to understand the business model, target market, and competitive positioning. They generate business research insights and product strategy recommendations tailored to that specific company. Once this analysis completes, DataForSEO API then pulls technical metrics, backlink profiles, keyword rankings, and site health indicators. Report Assembly: All findings flow into a master report generator that structures the data into sections covering technical SEO, content strategy, competitive landscape, and actionable next steps. Custom branded cover and closing pages are added. Delivery: The HTML report converts to PDF format and emails directly to your recipient - no manual intervention needed. Setup Steps Add API credentials: OpenRouter (for AI), DataForSEO (for scraping/SEO data), and PDFco (for PDF generation) Configure email sending through your preferred service (Gmail, SendGrid, etc.) Optional: Upload custom first/last page PDFs for white-label branding Test with your own website first to see the magic happen! Customize It Adjust analysis depth: Modify the AI prompts to focus on specific SEO aspects (local SEO, e-commerce, B2B SaaS, etc.) Change report style: Edit the HTML template in the Sample_Code node for different formatting Add integrations: Connect to your CRM to automatically trigger reports when leads enter your pipeline Scale it up: Process multiple URLs in batch by feeding a Google Sheet of prospects What You'll Need OpenRouter account (Claude Opus 4.1 recommended for best insights) DataForSEO subscription (handles both scraping and SEO metrics) PDFco account (converts your reports to professional PDFs) Email service credentials configured in n8n Need Help? Connect with me on LinkedIn if you have any doubt

Who's it for This template is for Customer Success and Sales teams who use HubSpot. It automates the critical handoff from sales to success, ensuring every new customer gets a fast, personalized welcome. It's perfect for anyone looking to standardize their onboarding process, save time on manual tasks, and improve the new customer experience using AI. What it does This workflow triggers when a deal's "Is closed won" property is set to True in HubSpot. It assigns a Customer Success Manager (CSM) by querying an n8n Data Table to find the 'least busy' CSM (based on a deal count) and fetches the deal's details to find all associated contacts. It then loops to identify the "Champion" contact by checking their "Buying Role" (hs_buying_role). An AI agent (in the AI: Write Welcome Email node) generates a personalized welcome email, which is converted to HTML and sent via Gmail. Finally, the workflow updates the Champion's contact record in HubSpot and updates the CSM's deal count in the Data Table to keep the logic in sync. How to set up Create and Populate Data Table: This template requires an n8n Data Table to manage CSM assignments. Create a Data Table named csm_assignments. Add two columns: csm_id (String) and deal_count (Number). Add one row for each CSM with their HubSpot Owner ID and a starting deal_count of 0. Link Data Table Nodes: Open the Get CSM List and Increment CSM Deal Count nodes and select the csm_assignments table you just created from the Table dropdown. Configure Variables: In the Configure Template Variables node, you must set your sender info (company_name, sender_name, and sender_email). Customize AI Prompt: In the AI: Write Welcome Email node, update the placeholder [Link to Your Video] and [Link to Your Help Doc] links with your own URLs. Check HubSpot Property: This workflow assumes you use the "Buying Role" (hs_buying_role) contact property to identify your "Champion". If you use a different property, you must update the HubSpot: Get Contact Details and If Role is 'Champion' nodes. Requirements Access to n8n Data Tables. HubSpot (Developer API):** A credential for the Trigger: Deal Is 'Closed Won' node. HubSpot (OAuth2):** A credential for all other HubSpot nodes (Get Deal Details, Get Contact Details, Assign Contact Owner). AI Credentials:** (e.g., OpenAI) Credentials for the AI Model node (the node connected to AI: Write Welcome Email). Email Credentials:** (e.g., Gmail) Credentials for the Gmail: Send Welcome Email node. How to customize the workflow You can easily customize this workflow to send different emails based on deal properties. Add an If node after the HubSpot: Get Deal Details node to check for the deal's value, product line, or region. Based on these properties, you can route the flow to different AI: Write Welcome Email nodes with unique prompts. For example, you could check the contact's 'industry' or 'company size' to send them links to different, more relevant 'Getting Started' videos and documentation.

Sales Pipeline Automation Dashboard with AI Lead Intelligence 🎯 Target Audience Sales managers and team leads Business development representatives Marketing teams managing lead generation CRM administrators and sales operations Account executives and sales representatives Sales enablement professionals Revenue operations (RevOps) teams 🚀 Problem Statement Manual lead qualification and sales pipeline management is inefficient and often leads to missed opportunities or poor lead prioritization. This template solves the challenge of automatically scoring, qualifying, and routing leads using AI-powered intelligence to maximize conversion rates and sales team productivity. 🔧 How it Works This workflow automatically processes new leads using AI-powered intelligence, scores and qualifies them based on multiple factors, and automates the entire sales pipeline from lead capture to deal creation. Key Components Dual Trigger System - Scheduled monitoring and webhook triggers for real-time lead processing AI-Powered Lead Intelligence - Advanced scoring algorithm based on 7 key factors Multi-Source Data Enrichment - LinkedIn and Crunchbase integration for comprehensive lead profiles Automated Sales Actions - Intelligent routing, task creation, and follow-up sequences Multi-Platform Integration - HubSpot CRM, Slack notifications, and Google Sheets dashboard 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the lead was processed | "2024-01-15T10:30:00Z" | | lead_id | String | Unique lead identifier | "LEAD-2024-001234" | | first_name | String | Lead's first name | "John" | | last_name | String | Lead's last name | "Smith" | | email | String | Lead's email address | "john@company.com" | | company_name | String | Company name | "Acme Corp" | | job_title | String | Lead's job title | "Marketing Director" | | lead_score | Number | AI-calculated score (0-100) | 85 | | grade | String | Lead grade (A+, A, B+, B, C+) | "A+" | | category | String | Lead category | "Enterprise" | | priority | String | Priority level | "Critical" | | lead_source | String | How the lead was acquired | "Website Form" | | assigned_rep | String | Assigned sales representative | "Senior AE" | | company_size | String | Company employee count | "201-500 employees" | | industry | String | Company industry | "Technology" | | funding_stage | String | Company funding stage | "Series B" | | estimated_value | String | Estimated deal value | "$50K-100K" | 🛠️ Setup Instructions Estimated setup time: 25-30 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials HubSpot CRM account with API access Google Sheets account with API access Slack workspace for notifications (optional) Email service for welcome emails (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up HubSpot CRM Integration Add HubSpot API credentials Grant necessary permissions for contacts, deals, and tasks Configure custom properties for lead scoring and qualification Test the connection to ensure it's working 4. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for sales pipeline data Configure the sheet name (default: "Sales Pipeline") 5. Configure Lead Scoring Parameters Update the lead scoring weights in the Code node Customize ideal customer profile criteria Set automation trigger thresholds Adjust sales rep assignment logic 6. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials for welcome emails Define notification preferences for different lead grades Test notification delivery 7. Configure Triggers Set up webhook endpoint for real-time lead capture Configure scheduled trigger for periodic monitoring Choose appropriate time zones for your business hours Test both trigger mechanisms 8. Test and Validate Run the workflow manually with sample lead data Check HubSpot for proper contact and deal creation Verify Google Sheets data formatting Test all notification channels 🔄 Workflow Customization Options Modify Lead Scoring Algorithm Adjust scoring weights for different factors Add new scoring criteria (geographic location, technology stack, etc.) Customize ideal customer profile parameters Implement industry-specific scoring models Extend Data Enrichment Add more data sources (ZoomInfo, Apollo, etc.) Include social media presence analysis Add technographic data collection Implement intent signal detection Customize Sales Automation Modify follow-up sequences for different lead categories Add more sophisticated sales rep assignment logic Implement territory-based routing Add automated meeting scheduling Output Customization Add data visualization and reporting features Implement sales pipeline analytics Create executive dashboards with key metrics Add conversion rate tracking and analysis 📈 Use Cases Lead Qualification**: Automatically score and qualify incoming leads Sales Pipeline Management**: Streamline the entire sales process Lead Routing**: Intelligently assign leads to appropriate sales reps Follow-up Automation**: Ensure consistent and timely follow-up Sales Intelligence**: Provide comprehensive lead insights Performance Tracking**: Monitor sales team and pipeline performance 🚨 Important Notes Respect LinkedIn and Crunchbase terms of service and rate limits Implement appropriate delays between requests to avoid rate limiting Regularly review and update your lead scoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Ensure GDPR compliance for lead data processing 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status HubSpot API errors: Check API key and permissions Google Sheets permission errors: Check OAuth2 scope and permissions Lead scoring errors: Review the Code node's JavaScript logic Rate limiting: Adjust request frequency and implement delays Support Resources: ScrapeGraphAI documentation and API reference HubSpot API documentation and developer resources n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Sales automation best practices and guidelines

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Create and Auto-Post Viral AI Videos with VEO3 and Blotato to 9 Platforms Who is this for? This template is ideal for content creators, growth marketers, e-commerce entrepreneurs, and video-first brands who want to automate the creation and multi-platform distribution of viral short-form ads using AI. If you're looking to scale video production without editing tools or posting manually, this is for you. What problem is this workflow solving? Creating high-converting video content is time-consuming. You need to: Come up with ideas Write compelling scripts Generate visuals Adapt content for each platform Manually publish and track results This workflow automates that entire process and turns a single idea into a ready-to-publish video campaign across 9 platforms. What this workflow does Triggers via Telegram when a new video idea is submitted Fetches parameters (style, tone, duration) from Google Sheets Generates the video script using GPT-4 and a master AI prompt Creates the video using Google’s VEO3 video generation model Downloads the final video once rendering is complete Rewrites the caption with GPT-4o for platform-optimized posting Logs the result in Google Sheets for tracking Sends preview links to Telegram for review Auto-posts the video to 9 platforms using Blotato (TikTok, YouTube, Instagram, Threads, Facebook, X, LinkedIn, Pinterest, Bluesky) Setup Install n8n (self-hosted) with Community Nodes enabled Connect your Telegram Bot Token to the trigger node Add your OpenAI API Key for GPT-4 and GPT-4o models Configure your VEO3 API access (Google AI Studio) Set up Blotato with your platform tokens & IDs Link your Google Sheets and set the expected column structure (idea, style, caption, etc.) Adjust the Telegram trigger format (e.g., idea: ...) to your team’s input style How to customize this workflow to your needs Edit the master prompt to match your brand voice or industry Replace the caption prompt to generate more marketing-style hooks Modify the platform list if you only publish to a few specific channels Add approval steps (Slack, email, Telegram) before publishing Integrate tracking by pushing published URLs to your analytics or CRM 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

Automated Invoice Creation & Team Notification with Jotform, Xero, Outlook, and Telegram This workflow automates the entire process of receiving a product/service order, checking or creating a customer in Xero, generating an invoice, emailing it, and notifying the sales team for example after sometime if no action has been taken yet (via Telegram) — all triggered by a form submission (via Jotform). How It Works Receive Submission Triggered when a user submits a form. Collects data like customer details, selected product/service, etc. Check If Customer Exists Searches Xero to determine if the customer already exists. ✅ If Customer Exists: Update customer details. ❌ If Customer Doesn’t Exist: Create a new customer in Xero. Create The Invoice Generates a new invoice for the customer using the item selected. Send The Invoice Automatically sends the invoice via email to the customer. Wait For Sometime Now we will wait for 30 seconds (by default, you can change it) and then get the invoice details from Xero Notify The Team Notifies the sales team for example via Telegram in case no action has been taken on the invoice and thus the team can act fast. Who Can Benefit from This Workflow? Freelancers** Service Providers** Consultants & Coaches** Small Businesses** E-commerce or Custom Product Sellers** Requirements Jotform webhook setup, more info here Xero credentials, more info here Make sure that products/services values in Jotform are exactly the same as your item Code in your Xero account Email setup, update email node (Send email), more info about Outlook setup here LLM model credentials Telegram credentials, more info here

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works? The Content Strategy AI Pipeline is an intelligent, multi-stage content creation system that transforms simple user prompts into polished, ready-to-publish content. The system intelligently extracts platform requirements, audience insights, and brand tone from user requests, then develops strategic reasoning and emotional connection strategies before crafting compelling content outlines and final publication-ready posts or articles. Supporting both social media platforms (Instagram, LinkedIn, X, Facebook, TikTok) and blog content. Key Differentiators: Strategic thinking approach, emotional intelligence integration, platform-native optimization, zero-editing-required output, and professional content strategist-level quality through multi-model AI orchestration. Technical Points Multi-model AI orchestration for specialized tasks Emotional psychology integration for audience connection Platform algorithm optimization built-in Industry-standard content strategy methodology automated Enterprise-grade reliability with session management and memory API-ready architecture for integration into existing workflows Test Inputs Sample Request: "Create an Instagram post for a fitness coach targeting busy moms, tone should be motivational and relatable" Expected Flow: Platform: Instagram → Niche: Fitness → Audience: Busy Moms → Tone: Motivational → Output: 125-150 word post with hashtags `

Introduction Automates flight deal discovery and intelligent analysis for travel bloggers and deal hunters. Scrapes live pricing, enriches with weather data, applies AI evaluation, and auto-publishes to WordPress—eliminating manual research and accelerating content delivery. How It Works User submits route via form, scrapes real-time flight prices and weather data, AI analyzes deal quality considering weather conditions, formats results, publishes to WordPress, sends Slack notification—fully automated from input to publication. Workflow Template Form Input → Extract Data → Scrape Flight Prices → Extract Pricing → Fetch Weather → Parse Weather → Prepare AI Input → AI Analysis → Parse Output → Format Results → Publish WordPress → Slack Alert → User Response Setup Instructions Form Setup: Configure user input fields for flight routes and preferences APIs: Connect Google Flights scraping endpoint, weather API credentials, OpenAI/Chat Model API key Publishing: Set WordPress credentials, target blog category, Slack webhook URL AI Configuration: Define analysis prompts, output structure, parser rules Workflow Steps Data Collection: Form captures route, scrapes Google Flights pricing, fetches destination weather via API AI Processing: Enriches flight data with weather context, analyzes deal quality using OpenAI/Chat Model with structured output parsing Publishing: Formats analysis results, creates WordPress post, sends Slack notification, delivers response to user Prerequisites n8n instance, Google Flights access, weather API key, OpenAI/compatible AI service, WordPress site with API access, Slack workspace Use Cases Travel blog automation, flight deal newsletters, price comparison services, seasonal travel planning, destination weather analysis, automated social media content Customization Modify AI analysis criteria, adjust weather impact weighting, customize WordPress post templates, add email distribution, integrate additional data sources, expand to hotel/rental deals Benefits Eliminates manual price checking, combines multiple data sources automatically, delivers AI-enhanced insights, accelerates publishing workflow, scales across unlimited routes, provides weather-aware recommendations

Production-ready solution for controlling AI agent usage and preventing abuse while managing costs. 🎯 Problem Solved Unlimited AI interactions → Excessive API costs Service abuse → Uncontrolled resource consumption No built-in limits → Need for usage quotas ✅ Solution Overview Two-Part System: Main Flow: User interaction tracking + AI responses Reset Flow: Automated counter resets 🔄 How It Works User Message → Track Counter → Check Limit → Allow/Block → AI Response 🛠️ Core Components Main Workflow 📱 Telegram Trigger - Receives user messages 📊 Google Sheets Counter - Tracks messages per user 🔀 Switch Logic - Checks limits (default: 3 messages) 🤖 AI Agent - Processes allowed interactions 💬 Smart Responses - Delivers AI answers or limit warnings Auto-Reset System ⏰ Schedule Trigger - Runs every configurable interval 🔄 Bulk Counter Reset - Resets all users to 0 ⚙️ Configuration Message Limits Modify Switch Node conditions: > 3 messages → Block silently = 3 messages → Send limit warning < 3 messages → Allow AI response Reset Schedules Testing: Every 1 minute Hourly: 0 * * * * Daily: 0 0 * * * Weekly: 0 0 * * 0 📋 Setup Requirements Credentials Needed: 🤖 Telegram Bot Token 📊 Google Sheets API 🧠 AI Model *Google Sheets Structure: *Column A: User ID (Telegram chat.id) Column B: Message Counter 🎯 Perfect For 💰 Cost Control - Prevent runaway API costs 🛡️ Demo/Trial Bots - Limited interactions 🏢 Customer Service - Usage quotas 🎓 Educational Bots - Daily limits 🚫 Anti-Abuse - Fair usage policies 🚀 Key Benefits ✅ Cost Management - Control AI API expenses ✅ Fair Access - Equal usage for all users ✅ Production Ready - Robust error handling ✅ Flexible Limits - Easy adjustment ✅ Auto-Reset - No manual intervention ✅ User-Friendly - Clear limit messages 📝 Quick Customization Adjust Limits: Change Switch node values Reset Timing: Modify Schedule Trigger Custom Messages: Edit Telegram response nodes User Tiers: Add columns to Google Sheets

🤖 This n8n workflow automatically parses news articles from a webpage, enhances them with AI, and publishes them to a Telegram channel with a watermarked image. Unlike the RSS-based setup, this workflow directly fetches and processes content from any specified webpage. Use Cases Automatically post new website articles to your Telegram channel. Use AI to rewrite or summarize text for better readability. Add branded watermarks to images and keep your channel visually consistent. How It Works Schedule Trigger: Runs the workflow on a custom schedule. Fetch Web Page: Retrieves the HTML content of your chosen website. Extract Links: Parses article links from the HTML source. Check & Update Google Sheet: Skips already processed links and records new ones. Fetch & Clean Article: Retrieves, extracts, and formats the article text. AI Text Customization: Uses an AI agent to enhance the text. Image Watermarking: Fetches the article image and applies a watermark. Telegram Publishing: Posts the final image and AI-enhanced text to your channel. Setup Steps Google Sheet:** Create and share a sheet to track processed links. Web URL:** Enter your target webpage in the HTTP Request node. AI Agent:** Choose a model and prompt for text customization (e.g., OpenRouter or Gemini). Telegram Bot:** Add your bot token and chat ID. Run & Test:** Execute once manually, then let it run on schedule. Tips AI usage may incur costs depending on the model provider. Some AI models can be geo-restricted — check availability if you get “model not found.” Customize watermark style (font, color, size) to match your branding. Use Telegram Markdown for rich message formatting. ✅ Key Advantage: No RSS required — the workflow directly parses websites, enhances content with AI, and automates publishing to Telegram.

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