Reddit and Slack integration

How it Works This workflow automates intelligent Reddit marketing by monitoring brand mentions, analyzing sentiment with AI, and engaging authentically with communities. Every 24 hours, the system searches Reddit for posts containing your configured brand keywords across all subreddits, finding up to 50 of the newest mentions to analyze. Each discovered post is sent to OpenAI's GPT-4o-mini model for comprehensive analysis. The AI evaluates sentiment (positive/neutral/negative), assigns an engagement score (0-100), determines relevance to your brand, and generates contextual, helpful responses that add genuine value to the conversation. It also classifies the response type (educational/supportive/promotional) and provides reasoning for whether engagement is appropriate. The workflow intelligently filters posts using a multi-criteria system: only posts that are relevant to your brand, score above 60 in engagement quality, and warrant a response type other than "pass" proceed to engagement. This prevents spam and ensures every interaction is meaningful. Selected posts are processed one at a time through a loop to respect Reddit's rate limits. For each worthy post, the AI-generated comment is posted, and complete interaction data is logged to Google Sheets including timestamp, post details, sentiment, engagement scores, and success status. This creates a permanent audit trail and analytics database. At the end of each run, the workflow aggregates all data into a comprehensive daily summary report with total posts analyzed, comments posted, engagement rate, sentiment breakdown, and the top 5 engagement opportunities ranked by score. This report is automatically sent to Slack with formatted metrics, giving your team instant visibility into your Reddit marketing performance. Who is this for? Brand managers and marketing teams** needing automated social listening and engagement on Reddit Community managers** responsible for authentic brand presence across multiple subreddits Startup founders and growth marketers** who want to scale Reddit marketing without hiring a team PR and reputation teams** monitoring brand sentiment and responding to discussions in real-time Product marketers** seeking organic engagement opportunities in product-related communities Any business** that wants to build authentic Reddit presence while avoiding spammy marketing tactics Setup Steps Setup time:** Approx. 30-40 minutes (credential configuration, keyword setup, Google Sheets creation, Slack integration) Requirements:** Reddit account with OAuth2 application credentials (create at reddit.com/prefs/apps) OpenAI API key with GPT-4o-mini access Google account with a new Google Sheet for tracking interactions Slack workspace with posting permissions to a marketing/monitoring channel Brand keywords and subreddit strategy prepared Create Reddit OAuth Application: Visit reddit.com/prefs/apps, create a "script" type app, and obtain your client ID and secret Configure Reddit Credentials in n8n: Add Reddit OAuth2 credentials with your app credentials and authorize access Set up OpenAI API: Obtain API key from platform.openai.com and configure in n8n OpenAI credentials Create Google Sheet: Set up a new sheet with columns: timestamp, postId, postTitle, subreddit, postUrl, sentiment, engagementScore, responseType, commentPosted, reasoning Configure these nodes: Brand Keywords Config: Edit the JavaScript code to include your brand name, product names, and relevant industry keywords Search Brand Mentions: Adjust the limit (default 50) and sort preference based on your needs AI Post Analysis: Customize the prompt to match your brand voice and engagement guidelines Filter Engagement-Worthy: Adjust the engagementScore threshold (default 60) based on your quality standards Loop Through Posts: Configure max iterations and batch size for rate limit compliance Log to Google Sheets: Replace YOUR_SHEET_ID with your actual Google Sheets document ID Send Slack Report: Replace YOUR_CHANNEL_ID with your Slack channel ID Test the workflow: Run manually first to verify all connections work and adjust AI prompts Activate for daily runs: Once tested, activate the Schedule Trigger to run automatically every 24 hours Node Descriptions (10 words each) Daily Marketing Check - Schedule trigger runs workflow every 24 hours automatically daily Brand Keywords Config - JavaScript code node defining brand keywords to monitor Reddit Search Brand Mentions - Reddit node searches all subreddits for brand keyword mentions AI Post Analysis - OpenAI analyzes sentiment, relevance, generates contextual helpful comment responses Filter Engagement-Worthy - Conditional node filters only high-quality relevant posts worth engaging Loop Through Posts - Split in batches processes each post individually respecting limits Post Helpful Comment - Reddit node posts AI-generated comment to worthy Reddit discussions Log to Google Sheets - Appends all interaction data to spreadsheet for permanent tracking Generate Daily Summary - JavaScript aggregates metrics, sentiment breakdown, generates comprehensive daily report Send Slack Report - Posts formatted daily summary with metrics to team Slack channel

🤖 AI Reddit Scout Agent: Auto Post Analysis & Insights Stay ahead of trends and conversations with this intelligent n8n workflow that automatically monitors Reddit, analyzes discussions using AI, and delivers actionable insights to your team via Slack and Gmail. Perfect for market research, content inspiration, and competitive intelligence. 🔄 How It Works This automated 4-step intelligence gathering system runs daily to keep you informed: Step 1: Scheduled Monitoring The workflow automatically triggers daily (default: 9 AM) to scan Reddit for fresh discussions and trending topics. Step 2: Smart Content Retrieval The Reddit API integration searches specified subreddits using customizable filters: Target subreddits (e.g., r/ChatGPT, r/technology, r/startups) Keyword matching for specific topics Post ranking criteria (hot, top, new) Engagement thresholds (upvotes, comments) Step 3: AI-Powered Analysis Each retrieved post is processed by GPT-4 through a specialized agent that: Extracts key discussion points and themes Classifies topics in 3-5 word categories Generates concise one-sentence summaries Identifies sentiment and engagement patterns Highlights actionable insights and trends Step 4: Multi-Channel Distribution Analyzed insights are automatically delivered to: Slack channels for immediate team visibility Gmail inboxes for stakeholders and decision-makers Formatted with links back to original Reddit discussions ⚙️ Setup Steps Prerequisites Reddit account (for API access) OpenAI API key with GPT-4 access Slack workspace with posting permissions Gmail account for email distribution n8n instance (cloud or self-hosted) Configuration Steps Credential Setup Reddit API: Configure Reddit node with API credentials OpenAI API Key: Required for AI analysis and summarization Slack OAuth2: Connect workspace for channel posting Gmail OAuth2: Enable email distribution functionality Reddit Configuration Subreddit Selection: Define target communities to monitor Professional: r/entrepreneur, r/marketing, r/sales Technology: r/artificial, r/MachineLearning, r/programming Industry-specific: r/fintech, r/biotech, r/startups Search Parameters: Set keywords and filters Keywords: "AI trends", "market analysis", "customer feedback" Time ranges: past day, week, or month Minimum engagement thresholds AI Analysis Customization Default analysis prompt can be tailored for: Market Research Focus: Extract business insights and opportunities Competitive Intelligence: Identify competitor mentions and sentiment Content Ideas: Find trending topics for content creation Customer Research: Analyze user pain points and feedback Distribution Setup Slack Integration: Choose channels for different content types #market-intelligence for business insights #content-ideas for creative inspiration #competitive-intel for competitor discussions Email Configuration: Set recipient lists and formatting preferences Schedule Optimization Frequency: Daily, weekly, or custom intervals Timing: Optimize for team availability and time zones Volume Control: Limit posts per execution to avoid overwhelm 🚀 Use Cases Market Research & Intelligence Trend Identification: Spot emerging technologies and methodologies Customer Sentiment: Monitor brand mentions and user feedback Competitive Analysis: Track competitor discussions and reputation Industry Insights: Stay updated on regulatory changes and news Content Marketing Topic Discovery: Find trending subjects for blog posts and videos Audience Research: Understand community questions and pain points Content Validation: Test ideas before creating full content pieces Engagement Strategies: Learn what resonates with target audiences Product Development Feature Requests: Identify commonly requested functionality User Experience Feedback: Discover usability issues and improvements Market Validation: Gauge interest in new product concepts Beta Testing Insights: Monitor feedback on product releases Sales & Business Development Lead Generation: Find potential customers discussing relevant problems Objection Handling: Understand common concerns and hesitations Partnership Opportunities: Identify potential collaboration prospects Market Education: Understand knowledge gaps in your target market Investment & Strategy Startup Monitoring: Track emerging companies and funding news Technology Assessment: Evaluate new tools and platforms Risk Assessment: Monitor potential threats and challenges Opportunity Identification: Spot underserved markets and niches 🔧 Advanced Customization Options Multi-Subreddit Orchestration Configure different analysis approaches: Technical Communities: Focus on innovation and implementation details Business Communities: Extract market opportunities and strategies User Communities: Emphasize pain points and solution requests News Communities: Highlight breaking developments and reactions Sentiment & Engagement Scoring Enhance analysis with quantitative metrics: Sentiment Analysis: Positive, negative, neutral classification Engagement Prediction: Likelihood of viral content Influence Scoring: Identify high-authority contributors Trend Momentum: Track discussion growth over time Content Filtering & Prioritization Implement smart content curation: Quality Thresholds: Minimum upvotes, comments, or awards Relevance Scoring: AI-based topic matching and ranking Duplicate Detection: Avoid repetitive content in summaries Language Processing: Handle multiple languages and slang Extended Integration Options Connect additional platforms and tools: CRM Integration: Push leads to Salesforce, HubSpot, or Pipedrive Documentation Tools: Save insights to Notion, Obsidian, or Confluence Analytics Platforms: Feed data to Google Analytics or Mixpanel Social Media: Cross-post insights to Twitter, LinkedIn, or Facebook 📊 Output Examples Sample Slack Message: 🔍 Reddit Intelligence Report - r/ChatGPT 📊 Top Discussion: "Why I stopped using ChatGPT for coding" 📝 Topic: AI Tool Limitations & Alternatives 📋 Summary: Users discussing ChatGPT's declining code quality and exploring alternatives like Claude and GitHub Copilot for development work. 📈 Engagement: 847 upvotes, 234 comments 💭 Sentiment: Mixed (concerns about accuracy, praise for alternatives) 🔗 View Discussion: [Reddit Link] Key Insights: Growing demand for specialized coding AI tools Quality consistency remains a major user concern Opportunity for developer-focused AI solutions Generated at 9:15 AM • Next scan: Tomorrow 9:00 AM Gmail Report Format: Subject: Daily Reddit Intelligence - AI & Technology Trends 📡 REDDIT SCOUT REPORT Date: March 15, 2024 🎯 TOP INSIGHTS TODAY: AI Development Tools (r/programming) Discussion: "Best AI coding assistants in 2024" Insight: Developers increasingly comparing specialized tools vs general AI Engagement: High (500+ upvotes) Startup Funding (r/entrepreneur) Discussion: "Raised $2M seed round - lessons learned" Insight: Current funding landscape and investor priorities Engagement: Moderate (150+ upvotes) Customer Feedback (r/SaaS) Discussion: "Why our churn rate dropped 40%" Insight: Onboarding and support strategy impacts Engagement: High (300+ upvotes) 🔗 View all discussions: [Links included] Powered by AI Reddit Scout Agent Next report: Tomorrow at 9:00 AM 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limiting Implement exponential backoff delays Distribute requests across multiple time periods Cache results to minimize redundant calls Monitor Reddit API status and limits Content Quality Control Set minimum engagement thresholds Filter out low-quality or spam posts Implement keyword blacklists for irrelevant content Regular prompt tuning for better AI analysis Information Overwhelm Limit posts per subreddit per day Prioritize by engagement and relevance scores Create digest formats for high-volume periods Allow team members to customize their alerts Optimization Strategies Performance Enhancement Use parallel processing for multiple subreddits Implement caching for repeated analysis Optimize OpenAI prompt length and complexity Monitor and optimize workflow execution time Cost Management Balance AI analysis depth with API costs Use different models for different content types Implement smart filtering before AI analysis Track ROI through engagement metrics Team Adoption Start with pilot programs in specific departments Provide training on interpreting AI insights Create feedback loops for continuous improvement Establish clear action protocols for different insight types 📈 Success Metrics Intelligence Quality Indicators Relevance Score: Percentage of insights that lead to action Timeliness: How quickly trends are identified vs competitors Accuracy: Validation of AI predictions against actual outcomes Engagement: Team interaction with distributed insights Business Impact Measurements Content Performance: Improvement in content engagement rates Market Timing: Success rate of trend-based decisions Competitive Advantage: Early identification of opportunities/threats Time Savings: Reduction in manual research and monitoring time 📞 Questions & Support Need assistance with your AI Reddit Scout Agent setup or customization? 📧 Technical Support Email: [email protected] Response Time: Within 24 hours on business days Expertise: Reddit API integration, AI prompt optimization, workflow scaling 🎥 Learning Resources YouTube Channel: https://www.youtube.com/@YaronBeen/videos Complete setup and configuration guides Advanced filtering and analysis techniques Integration tutorials for popular business tools Troubleshooting common issues 🤝 Professional Networking LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing automation support Share your intelligence gathering success stories Access to exclusive workflow templates and updates 💬 Support Request Guidelines Include in your message: Target subreddits and use cases Current team size and distribution needs Specific industries or topics of interest Integration requirements with existing tools Any error messages or unexpected behaviors

🚀 AI-Powered YouTube Video Summary Distributor: From Channel to Community! Workflow Overview This sophisticated n8n automation transforms YouTube content discovery into a seamless, multi-platform intelligence sharing process. By intelligently connecting YouTube RSS, AI summarization, and content distribution platforms, the workflow: Discovers New Content: Monitors YouTube channels via RSS feed Captures latest video uploads Tracks content in real-time AI-Powered Summarization: Extracts video metadata Generates concise, meaningful summaries Leverages GPT-4o for intelligent content analysis Intelligent Distribution: Logs summaries in Google Sheets Sends summaries to Slack for review Publishes approved content to Reddit Detailed Setup Instructions YouTube Data API Configuration Prerequisites Google Cloud Console account Enabled YouTube Data API v3 Setup Steps: Go to Google Cloud Console Create a new project Enable YouTube Data API v3 Create credentials (API Key) Store API key securely in n8n credentials Obtain channel RSS feed URL OpenAI API Setup Prerequisites OpenAI account Active API subscription Configuration: Visit OpenAI Platform Generate API key Select GPT-4o model Configure API key in n8n credentials Set up billing and usage limits Slack Integration Prerequisites Slack workspace Slack app permissions Setup Process: Create a Slack app in your workspace Configure OAuth scopes for sending messages Install app to workspace Obtain webhook or OAuth token Configure in n8n Slack node Reddit API Configuration Prerequisites Reddit account Reddit application created Steps: Go to Reddit's app preferences Create a new application Obtain client ID and secret Configure OAuth2 credentials in n8n Select target subreddit Workflow Customization Channel Modification Replace YouTube RSS feed URL in trigger node Adjust channel_id parameter Modify extraction logic if needed Subreddit Customization Change subreddit parameter in Reddit node Adjust title and text formatting AI Summarization Tuning Modify system message in Summarizer Agent Adjust prompt for different content types Implement custom filtering Key Customization Points Modify RSS feed URL Change target subreddit Adjust AI summarization prompt Add custom filtering logic Implement multi-channel support Technical Requirements n8n v0.220.0 or higher YouTube Data API v3 OpenAI API access Slack workspace Reddit application Stable internet connection Potential Use Cases Content creator content tracking Research and trend analysis Social media content distribution Automated content curation Community engagement Security Considerations Use environment variables for API keys Implement proper OAuth2 authentication Respect platform usage guidelines Maintain user privacy Future Enhancement Roadmap Multi-language support Advanced content filtering Sentiment analysis integration Expanded platform distribution Customizable summarization parameters Workflow Visualization [YouTube RSS Trigger] ⬇️ [Extract Channel ID] ⬇️ [Fetch Video Details] ⬇️ [AI Summarization] ⬇️ [Google Sheets Logging] ⬇️ [Slack Approval] ⬇️ [Reddit Publishing] Hashtag Performance Boost 🚀 #YouTubeAutomation #AIContentDistribution #WorkflowInnovation #ContentCuration #AIMarketing #DigitalMediaTech #AutomatedSummaries #CrossPlatformContent Connect With Me Ready to revolutionize your content workflow? 📧 Email: [email protected] 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your content strategy with intelligent, automated workflows! Note: Always test and customize the workflow to fit your specific use case and comply with platform guidelines.

This workflow monitors brand mentions across multiple platforms (Twitter/X, Reddit, News) and automatically detects reputation crises based on sentiment analysis and trend detection. How it works Multi-platform monitoring: Every 10 minutes, scans Twitter/X, Reddit, and news sites for brand mentions Data normalization: Converts all platform data into unified format Smart filtering: Removes duplicates and already-analyzed mentions AI sentiment analysis: Analyzes each mention for: Sentiment score (positive/negative/neutral) Amplification factors (engagement, verified accounts, news sources) Crisis-level phrases and keywords Trend detection: Compares current sentiment to 24-hour baseline: Detects sharp sentiment drops Identifies negative mention spikes Calculates impact surge Crisis classification: Assigns severity (CRITICAL/HIGH/MEDIUM/LOW) Automated response: For crises, triggers immediate alerts: Executive crisis brief with action plan Slack alerts to crisis team Email to leadership and PR team JIRA ticket creation Crisis event logging Setup steps Connect platforms: Twitter/X: Add OAuth credentials to "Monitor Twitter/X" node Reddit: Add OAuth credentials to "Monitor Reddit" node News API: Get API key from newsapi.org and add to "Monitor News & Blogs" node Configure brand monitoring: Update brand name and handles in search queries Add additional platforms if needed (LinkedIn, Facebook, Instagram) Set up alerting: Slack: Add credentials and update channel names Email: Add SMTP settings and recipient lists JIRA: Add credentials and project ID Adjust sensitivity: Modify sentiment keyword dictionaries in "AI Sentiment Analysis Engine" Adjust crisis threshold scores Customize amplification factors Test thoroughly: Run manual execution with test data Verify alert routing and content Test false positive handling Activate: Enable for continuous 24/7 monitoring Key Features: Multi-platform monitoring** (every 10 minutes): Twitter/X, Reddit, and News sites Data normalization** that converts different platform formats into unified structure AI sentiment analysis** engine that evaluates: Sentiment keywords (critical, severe, moderate, mild negative/positive) Amplification factors (engagement, verified accounts, follower counts) Impact scoring based on reach and influence Baseline trend detection** that tracks 24-hour sentiment history and detects: Sharp sentiment drops (15+ points = crisis) Negative mention spikes (30%+ increase) Impact surges Automated crisis response workflow**: Aggregates crisis mentions into executive brief Generates detailed action plan based on severity Sends Slack alerts to crisis team Emails leadership with comprehensive brief Creates JIRA ticket for tracking Logs all events for analysis Two-path routing**: Crisis-level events trigger full response workflow, while routine mentions are logged for trend analysis

Who’s it for This workflow is for content creators, newsletter editors, and AI enthusiasts who want to automate the heavy lifting of news gathering. It acts as an autonomous research agent that monitors industry sources and drafts high-quality summaries for your review. How it works This workflow serves as a "human-in-the-loop" publishing agent: Ingestion & Normalization: It monitors 15+ sources including RSS feeds (TechCrunch), Reddit (r/OpenAI), and company blogs (Anthropic, Google). It normalizes these diverse inputs into a standard format. Filtering & Curating: Using OpenAI (GPT-4o), it filters out noise to identify only high-impact stories. It then selects the top 4 stories based on relevance to a tech-savvy audience. Drafting: It writes a complete newsletter, including a catchy subject line, an intro hook, deep-dive summaries, and a "quick hits" list. It even generates viral short-form video scripts based on the news. Slack Approval: The draft is sent to Slack. You can approve it immediately or reply with feedback (e.g., "Make the tone punchier"), prompting the AI to revise the draft before generating the final file. How to set up Credentials: Connect your OpenAI, Anthropic, Google Sheets, and Slack accounts in n8n. Google Sheets: Create a sheet with columns for Title, URL, Source, Published, and Content. Paste the Sheet ID into the "Log to Google Sheets" and "Get_Stories" nodes. Slack: Update the Slack nodes with your specific Channel ID where you want to receive drafts. Requirements n8n version:** 1.0+ (requires LangChain nodes). LLM API Keys:** OpenAI and Anthropic. Google Sheets:** For logging processed history. Slack:** For the approval interface. How to customize Change Sources:** Edit the RSS Trigger nodes to track Finance, SaaS, or Crypto news instead of AI. Adjust Tone:** Open the stories_prompt node to change the persona of the AI editor (e.g., from "Professional" to "Witty"). Publishing:** Connect the final output to a CMS like WordPress or Ghost to publish automatically upon approval.

What This Does Automatically finds relevant Reddit posts where your brand can add value, generates helpful AI comments, and sends the best opportunities to your Slack channel for review. Setup Requirements Reddit API credentials OpenAI API key Slack webhook URL Quick Setup Reddit API Create app at reddit.com/prefs/apps (select "script" type) Add client ID and secret to n8n credentials Configure Subreddits Edit the workflow to monitor subreddits relevant to your business: entrepreneur, startups, smallbusiness, [your_niche] AI Prompt Setup Customize the OpenAI node with your brand context: You're helping in [subreddit] discussions. When relevant, mention how [your_product] solves similar problems. Be helpful first, promotional second. Slack Integration Add your webhook URL to get notifications with: Post title and link AI-generated comment Engagement score (1-10) Key Features Smart Filtering**: AI evaluates if a post is worth engaging with Brand-Aware Comments**: Generated responses stay on-brand and helpful Team Review**: All opportunities go to Slack before posting Multiple Subreddits**: Monitor several communities simultaneously Customization Tips Adjust AI Scoring - Modify what makes a "good" opportunity: Post engagement level Relevance to your product Tone of the discussion Comment Templates - Set different styles for different subreddits: Technical advice for developer communities Business insights for entrepreneur groups User experience for product discussions Best Practices Start with 2-3 subreddits to test effectiveness Review and approve comments in Slack before posting Follow Reddit's 90/10 rule (90% helpful content, 10% self-promotion) Adjust the AI prompt based on what works in your communities Why Use This Saves hours of manual Reddit browsing Maintains consistent brand voice Never miss relevant conversations Team can review before engaging publicly