Workflow Templates

An intelligent system that monitors social media conversations, identifies high-value engagement opportunities, and generates strategic comments to establish thought leadership while adding genuine value to discussions. Overview This automation workflow leverages Trigify's social listening platform to intelligently identify and respond to social media conversations. It combines AI-powered analysis with strategic comment generation to build authentic thought leadership presence across social platforms. 🔄 Workflow Process 1. Social Listening Webhook Real-time social media monitoring Integrated with Trigify.io social listening platform Monitors conversations across multiple social platforms Captures post content, author details, engagement metrics, and URLs Filters incoming posts by predefined keywords and topics Processes posts in real-time as they're discovered 2. Platform Validation Filter Platform-specific engagement optimization Checks post source (LinkedIn, Twitter, Reddit, etc.) Currently optimized for LinkedIn engagement Filters out non-relevant platforms Maintains platform-specific engagement strategies Routes posts based on platform requirements 3. Post Relevance Analyzer Agent AI-powered opportunity assessment Analyzes post content against expertise domains: Social Media Intelligence Competitive Analysis B2B Marketing Attribution Evaluates value-add potential and audience quality Scores engagement opportunity and confidence levels Identifies natural connection points to demonstrate authority Filters out low-quality or irrelevant conversations Returns structured analysis with TRUE/FALSE relevance decision 4. Engagement Decision Gate Quality control checkpoint Processes AI analysis results Only proceeds with TRUE relevance scores Prevents engagement on inappropriate content Maintains high-quality engagement standards Protects brand reputation through selective filtering 5. Strategic Comment Generator Agent Authentic thought leadership responses Generates comments under 30 words for maximum impact Focuses on tactical advice, strategic insights, or pattern recognition Avoids promotional language or forced statistics Incorporates domain expertise naturally Maintains conversational, helpful tone Uses experience-based insights over generic advice 6. Web Search Integration Enhanced context gathering Optional web search capability for additional context Provides current market insights when needed Supplements comment generation with real-time data Ensures comments are informed and relevant 7. Output Formatting Structured data preparation Compiles post URL, suggested comment, and post summary Formats data for Slack notification system Maintains context across workflow steps Prepares actionable engagement package 8. Slack Notification System Team collaboration and review Sends formatted notifications to #comment-strategy channel Includes post summary, suggested comment, and direct link Provides action buttons (View Post, Copy Comment, Skip) Enables team review before engagement Maintains engagement tracking and decision history 🛠️ Technology Stack n8n**: Workflow orchestration and webhook management Claude Sonnet 4**: Multi-agent AI analysis and content generation Trigify.io**: Social listening and post monitoring platform Slack API**: Team notifications and collaboration OpenAI API**: Optional web search for enhanced context Webhook Integration**: Real-time post processing ✨ Key Features Real-time social media monitoring via Trigify integration AI-powered relevance scoring and quality assessment Strategic comment generation focused on thought leadership Platform-specific engagement optimization (LinkedIn-focused) Team collaboration through Slack notifications Selective engagement to maintain high-quality interactions Expertise-based content analysis across multiple domains Anti-promotional safeguards for authentic engagement 🎯 Ideal Use Cases Perfect for professionals seeking to build authentic thought leadership: B2B Executives** building thought leadership presence Marketing Professionals** demonstrating industry expertise Sales Leaders** engaging prospects through valuable insights Consultants** establishing authority in their domains Business Development Teams** nurturing relationship building Companies** wanting systematic social media engagement Teams** requiring quality control over social interactions Professionals** seeking authentic network growth through value-add 📈 Business Impact Transform passive social listening into active thought leadership: Establishes thought leadership** through strategic engagement Builds authentic professional relationships** naturally Demonstrates expertise** without direct promotion Increases visibility** among target audience Creates networking opportunities** through valuable contributions Maintains consistent social media presence** systematically Scales personal engagement** while preserving authenticity This workflow ensures every engagement adds genuine value while naturally showcasing professional expertise, creating a sustainable approach to social media thought leadership.

> ⚠️ Disclaimer: This workflow uses Scrapeless and Claude AI via community nodes, which require n8n self-hosted to work properly. 🔁 How It Works This intelligent B2B lead generation workflow combines search automation, website crawling, AI analysis, and multi-channel output: It starts by using Scrapeless’s Deep Serp API to find company websites from targeted Google Search queries. Each result is then individually crawled using Scrapeless's Crawler module, retrieving key business information from pages like /about, /contact, /services. The raw web content is processed via a Code node to clean, extract, and prepare structured data. The cleaned data is passed to Claude Sonnet (Anthropic) which analyzes and qualifies the lead based on content richness, contact data, and relevance. A filter step ensures only high-quality leads (e.g. lead score ≥ 6) are kept. Sent via Discord webhook for real-time notification (can be replaced with Slack, email, or CRM tools). > 📌 The result is a fully automated system that finds, qualifies, and organizes B2B leads with high efficiency and minimal manual input. ✅ Pre-Conditions Before using this workflow, make sure you have: An n8n self-hosted instance A Scrapeless account and API key (get it here) An Anthropic Claude API key A configured Discord webhook URL (or alternative notification service) ⚙️ Workflow Overview Manual Trigger → Scrapeless Google Search → Item Lists → Scrapeless Crawler → Code (Data Cleaning) → Claude Sonnet → Code (Response Parser) → Filter → Discord Notification 🔨 Step-by-Step Breakdown Manual Trigger – For testing purposes (can be replaced with Cron or Webhook) Scrapeless Google Search – Queries target B2B topics via Scrapeless’s Deep SERP API Item Lists – Splits search results into individual items Scrapeless Crawler – Visits each company domain and scrapes structured content Code Node (Data Cleaner) – Extracts and formats content for LLM input Claude Sonnet (via HTTP Request) – Evaluates lead quality, relevance, and contact info Code Node (Parser) – Parses Claude’s JSON response IF Filter – Filters leads based on score threshold Discord Webhook – Sends formatted message with company info 🧩 Customization Guidance You can easily adjust the workflow to match your needs: Lead Criteria**: Modify the Claude prompt and scoring logic in the Code node Output Channels**: Replace the Discord webhook with Slack, Email, Airtable, or any CRM node Search Topics**: Change your query in the Scrapeless SERP node to find leads in different niches or countries Scoring Threshold**: Adjust the filter logic (lead_score >= 6) to match your quality tolerance 🧪 How to Use Insert your Scrapeless and Claude API credentials in the designated nodes Replace or configure the Discord webhook (or alternative outputs) Run the workflow manually (or schedule it) View qualified leads directly in your chosen notification channel 📦 Output Example Each qualified lead includes: 🏢 Company Name 🌐 Website ✉️ Email(s) 📞 Phone(s) 📍 Location 📈 Lead Score 📝 Summary of relevant content 👥 Ideal Users This workflow is perfect for: AI SaaS companies** targeting mid-market & enterprise leads Marketing agencies** looking for B2B-qualified leads Automation consultants** building scraping solutions No-code developers** working with n8n, Make, Pipedream Sales teams** needing enriched prospecting data

Flow Start: The flow starts upon receiving an HTTP GET call. Webhook: Receives the HTTP GET call and triggers the flow. Database: Connects to the database (Customer Datastore) to retrieve all necessary information (getAllPeople). Data Processing: Variable Insertion: The retrieved data is inserted into a variable. Variable Aggregation: The variables are aggregated and prepared for use in FlutterFlow. Webhook Response: Sends the response back through the Webhook with the processed data ready for use in FlutterFlow.

Slack Bot n8n Integration Hub - Workflow Submission 🚀 Showcase: Endless Possibilities with n8n Integration This repository demonstrates a powerful Slack Bot Socket App that seamlessly integrates with n8n for automation workflows. This is just a showcase of what's possible when combining Slack's interactive capabilities with n8n's automation power - the possibilities are truly endless! 📋 Project Overview Repository: slack-n8n-integration-hub Status: ✅ Committed and Ready for Submission This project showcases how to create seamless interactions between Slack users and n8n workflows, demonstrating: Real-time Data Submission** from Slack to n8n workflows Interactive Approval/Rejection** workflows triggered from Slack Secure Webhook Communication** with optional Basic Authentication Dynamic Modal Interactions** with immediate feedback Error Handling and User Experience** optimization 🎯 Key Features Demonstrated 1. Data Input Integration Users can submit custom data directly from Slack Data is instantly sent to n8n workflows for processing Real-time feedback and confirmation messages 2. Approval Workflow Automation Interactive approve/reject buttons in Slack modals Decisions trigger different n8n workflow paths Automated decision logging and processing 3. Enhanced User Experience Modal closes automatically after actions Submit button positioned below input for better UX Comprehensive error handling and user feedback 4. Security & Authentication Optional HTTP Basic Auth for webhook security Environment-based configuration management Secure credential handling 🔧 Technical Implementation Slack Bot Features: Socket Mode for real-time communication Custom slash commands (/automation) Interactive modals with dynamic content Button actions and form submissions n8n Integration: Webhook triggers for data reception Structured payload formats Authentication support Error handling and response management Workflow Payload Examples: Data Submission: { "type": "data_submission", "data": "User input data here", "user": { "id": "U1234567890", "name": "username" }, "timestamp": "2024-01-01T12:00:00.000Z", "source": "slack_bot" } Approval Action: { "type": "approval_action", "action": "approve", "user": { "id": "U1234567890", "name": "username" }, "timestamp": "2024-01-01T12:00:00.000Z", "source": "slack_bot" } 🌟 Why This Matters for n8n Community This project demonstrates how n8n can be the backbone for: Human-in-the-loop** automation workflows Interactive approval** processes Real-time data collection** from team communication tools Seamless integration** between chat platforms and automation Scalable workflow triggers** from multiple sources 🚀 Endless Possibilities This is just the beginning! With this foundation, you can build: IT Service Desk** automation with Slack approvals Content Publishing** workflows with team reviews Data Collection** and processing pipelines Incident Management** with automated escalations Project Management** with status updates and approvals Customer Support** ticket routing and responses DevOps Deployments** with approval gates Financial Approvals** with audit trails HR Processes** with automated workflows Marketing Campaigns** with content approvals 📁 Repository Structure slack-n8n-integration-hub/ ├── app.js # Main Slack Bot application ├── package.json # Dependencies and scripts ├── .env.example # Environment configuration template ├── README.md # Complete setup documentation ├── CONTRIBUTING.md # Contribution guidelines ├── Slack_Bot_n8n_Integration_Hub.json # n8n workflow export ├── n8n-workflow-examples.json # Additional workflow examples └── test-webhook.js # Webhook testing utilities 🎉 Ready for n8n Community This workflow is: ✅ Fully Tested and working ✅ Well Documented with setup instructions ✅ Open Source and ready for community use ✅ Extensible for various use cases ✅ Production Ready with error handling 🔗 Get Started Clone the repository: git clone https://github.com/iam-niranjan/slack-n8n-integration-hub.git Follow the setup guide in the main README.md Import the n8n workflows from the JSON files Customize for your use case and explore the possibilities! This showcase demonstrates that with n8n and Slack integration, the automation possibilities are truly endless! 🚀 Ready to submit to n8n community for sharing and collaboration.

What is Elderwatch Elder Watch is a simple system that checks daily vitals — like heart rate, oxygen, and walking symmetry — using data from an iPhone or Apple Watch. If something looks off — say oxygen drops or heart rate spikes — it flags that as “attention required.” And depending on that status, it can either: Email a daily report to a caregiver Or if there’s an alert — trigger a phone call via Twilio Why do we need this Elder Watch can help older people living alone for children or care givers to keey an eye on without obsessively checking apps. It’s useful for clinics that run home-care programs. Requirements Self hosted or cloud N8N Apple health vis iphone/watch Twilio VOIP phone number (to place a call) Workflows Core workflow for getting health data, processing and making a phone call. Twilio workflow to invoke Calls API to place an outbound voice call. twilio workflow { "name": "Twilio Bridge Caller copy", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "twilio-call", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 0, 0 ], "id": "ca3e6c69-3e7f-4d28-b699-4789a6fa2a6d", "name": "Webhook", "webhookId": "eb3d63df-800c-401d-931a-c6fba7d834ae" }, { "parameters": { "respondWith": "text", "responseBody": "={{ $json.body }}", "options": { "responseCode": 200, "responseHeaders": { "entries": [ { "name": "Content-Type", "value": "text/xml" } ] } } }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 580, 0 ], "id": "6587b7e2-ace8-4e2b-9f4b-ed028a363c25", "name": "Respond to Webhook" }, { "parameters": { "jsCode": "const summary = $input.first().json.query.summary || 'No summary, check mail for critical health info';\n\nreturn [\n {\n json: {\n body: <Response>\n <Say voice=\"alice\">${summary}</Say>\n</Response>\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 340, 0 ], "id": "0d4abf87-daf3-4533-8811-64ae61265f5d", "name": "Voice Twilio response" } ], "pinData": { "Webhook": [ { "json": { "headers": { "host": "n8n.domain.com", "user-agent": "curl/8.7.1", "content-length": "0", "accept": "/", "accept-encoding": "gzip, br" }, "params": {}, "query": { "lead": " 44711111111111" }, "body": {}, "webhookUrl": "https://n8n.domain.com/webhook/twilio-call", "executionMode": "production" } } ] }, "connections": { "Webhook": { "main": [ [ { "node": "Voice Twilio response", "type": "main", "index": 0 } ] ] }, "Voice Twilio response": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1" }, "versionId": "b58c5a12-75be-4b1d-b144-8c7251468021", "meta": { "instanceId": "8dc0e8a0878d0086b2f46ef04bb00ae07186c936d82d0f0a67563e9652996d33" }, "id": "RHaKqf8Wqt7fIuGH", "tags": [] } Samples Resources https://www.youtube.com/watch?v=HYk5_jtMlgc Questions/Support Contact me on info@pankstr.com.

This workflow is aimed at generating keywords for SEO and articles To get started, you need to use the workflow as it is. You just call the webhook URL with a query parameter as q={{ $keywords}} For example, you can call it using ?q=keyword research This will give you a list of keywords back as an array. This system can be used by SEO pros, content marketers and also social media marketers to generate relevant keywords for their user needs

What It Does The Chef Agent is your AI-powered kitchen companion—ready to turn leftover ingredients into meal inspiration. It's a simple, fun n8n automation that: Accepts a list of ingredients via webhook Uses Ollama AI to suggest 5 creative recipes or food ideas Recommends up to 3 missing ingredients to improve the dish Returns a fallback message if the AI is unavailable Includes setup notes for beginners Requirements An active n8n instance (local or hosted) Ollama AI running locally (or another LLM via HTTP request) A webhook endpoint (defaults to /lets-cook) Why You’ll Love It Fully customizable for your use case or favorite LLM Great intro to AI + workflow automation Comes with playful Clown Mutiny flair: > “Powered by Clown Mutiny’s taste-bud liberation division.” Installation Import the provided JSON template into your n8n workspace. Configure your AI node to match your local Ollama instance. Trigger the flow by sending a POST request to the webhook: { "ingredients": "eggs, rice, spinach" }

This workflow integrates Flowise Multi-Agent Chatflows into a custom-branded n8n chatbot, enabling real-time interaction between users and AI agents powered by large language models (LLMs). Key Advantages: ✅ Easy Integration with Flowise: Uses a low-code HTTP node to send user questions to Flowise's API (/api/v1/prediction/FLOWISE_ID) and receive intelligent responses. Supports multi-agent chatflows, allowing for complex, dynamic interactions. 🎨 Customizable Chatbot UI: Includes pre-built JavaScript for embedding the n8n chatbot into any website. Provides customization options such as welcome messages, branding, placeholder text, chat modes (e.g., popup or embedded), and language support. 🔐 Secure & Configurable: Authorization via Bearer token headers for Flowise API access. Clearly marked notes in the workflow for setting environment variables like FLOWISE_URL and FLOW_ID. How It Works Chat Trigger: The workflow starts with the When chat message received node, which acts as a webhook to receive incoming chat messages from users. HTTP Request to Flowise: The received message is forwarded to the Flowise node, which sends a POST request to a Flowise API endpoint (https://FLOWISEURL/api/v1/prediction/FLOWISE_ID). The request includes the user's input as a JSON payload ({"question": "{{ $json.chatInput }}"}) and uses HTTP header authentication (e.g., Authorization: Bearer FLOWSIE_API). Response Handling: The response from Flowise is passed to the Edit Fields node, which maps the output ($json.text) for further processing or display. Set Up Steps Configure Flowise Integration: Replace FLOWISEURL and FLOWISE_ID in the HTTP Request node with your Flowise instance URL and flow ID. Ensure the Authorization header is set correctly in the credentials (e.g., Bearer FLOWSIE_API). Embed n8n Chatbot: Use the provided JavaScript snippet in the sticky notes to embed the n8n chatbot on your website. Replace YOUR_PRODUCTION_WEBHOOK_URL with the webhook URL generated by the When chat message received node. Customize the chatbot's appearance and behavior (e.g., welcome messages, language, UI elements) using the createChat configuration options. Optional Branding: Adjust the sticky note examples to include branding details, such as custom messages, colors, or metadata for the chatbot. Activate Workflow: Toggle the workflow to "Active" in n8n and test the chat functionality end-to-end. Ideal Use Cases: Embedding branded AI assistants into websites. Connecting Flowise-powered agents with customer support chatbots. Creating dynamic, smart conversational flows with LLMs via n8n automation. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Description Automates error detection and notification to prevent production downtime. Monitors incoming webhooks, filters critical errors, and triggers alerts or bug reports. Ensures rapid response to critical issues in real-time. Essential Information Processes webhook triggers to detect errors instantly. Filters and categorizes errors as critical or non-critical. Sends Slack alerts for critical errors and creates Jira bugs as needed. System Architecture Error Detection Pipeline**: Webhook Trigger: Captures incoming error data via POST requests. Filter Critical Errors: Identifies and separates critical errors. Alert Generation Flow**: Send Slack Alert: Notifies the team via Slack for critical errors. Create Jira Bug: Logs critical errors as Jira issues. Non-Critical Handling**: No Action for Non-Critical: Skips non-critical errors with no further action. Implementation Guide Import the workflow JSON into n8n. Configure webhook URL and test with sample error data. Set up Slack and Jira credentials for alerts and bug creation. Test error filtering and notification flows. Monitor alert accuracy and adjust filter rules as needed. Technical Dependencies Webhook service for error data ingestion. Slack API for real-time notifications. Jira API for bug tracking and issue creation. n8n for workflow automation. Customization Possibilities Adjust Filter Critical Errors node to refine error severity rules. Customize Slack alert messages in Send Slack Alert node. Modify Jira issue templates in Create Jira Bug node. Add logging node to track all errors for analysis. Integrate with additional notification tools (e.g., email).

About The Product Hunt Automation Staying up-to-date with specific topics and launches on Product Hunt can be time-consuming. Manually checking the site multiple times a day interrupts your workflow and risks missing important launches. What if you could automatically get relevant launches delivered to your Slack workspace? How to Monitor Product Hunt In this guide, you'll learn how to create a Product Hunt monitoring system using Airtop's built-in node in n8n. This automation will scan Product Hunt for your chosen topics and deliver the most relevant launches directly to Slack. What You'll Need A free Airtop API key A Slack workspace with permissions to add incoming webhooks Estimated setup time: 5 minutes Understanding the Process The Monitor Product Hunt automation uses Airtop's cloud browser capabilities to access Product Hunt and extract launch information. Here's what happens: Airtop visits Product Hunt and navigates the page It searches for and extracts up to 5 launches related to your chosen topic The information is formatted and sent to your specified Slack channel This process can run on your preferred schedule, ensuring you never miss relevant launches. Setting Up Your Automation We've created a ready-to-use template that handles all the complex parts. Here's how to get started: Connect your Airtop account by adding the API key you created Connect your Slack account Set your prompt in the Airtop node. For this example, we’ve set it to be “Extract up to 5 launches related to AI products” Choose your preferred monitoring schedule. Customization Options While our template works immediately, you might want to customize it for your specific needs: Adjust the prompt and the maximum number of launches to monitor Customize the Slack message format Change the monitoring frequency Add filters for particular keywords or companies Real-World Applications Here's how teams can use this automation: A startup's engineering team could track trends in other product’s tech stack, helping them stay informed about potential issues and improvements. A product manager can track launches of competitor products, enabling them to gather valuable market insights and user feedback directly from the tech community on that launch. Best Practices To get the most out of this automation: Choose Specific Search Terms**: For more relevant results, instead of broad terms like "AI," use specific phrases like "machine learning for healthcare" Optimize Scheduling**: When setting the monitoring frequency, consider your team's workflow. Running the scenario every 4 hours during working hours often provides a good balance between staying updated and avoiding notification fatigue. Set Up Error Handling**: Enable n8n's error output to alert you if the automation encounters any issues with accessing Product Hunt or sending messages to Slack. Regular Topic Review**: Schedule a monthly review of your monitored topics to ensure they're still relevant to your needs and adjust as necessary. What's Next? Now that you've set up your Product Hunt monitor automation, you might be interested in: Creating a similar monitor for other tech websites Setting up automated content curation for your team's newsletter Building a competitive intelligence dashboard using web monitoring Happy Automating!

This workflow parses content from a website (for this example, Baserow's release page) and creates an RSS feed based on the extracted data. Prerequisites Some familiarity with HTML and CSS selectors Nodes Webhook node triggers the workflow when new content (a new Baserow release) is published on a website. Set nodes set the required URLs and links for the RSS feed. HTTP Request node fetches data from a specified website page. HTML Extract nodes extract the posts and their fields (such as date, title, description, and link) from the website. Item Lists node iterates over each post on the page. Date & Time node converts the date of the post to a different format. Function Item node creates RSS items for each post. Function node creates the response code for the RSS feed. Respond to Webhook node returns the RSS feed in response to the Webhook node. The result of this workflow would look like this:

This will send your Github notifications to a discord webhook. Since Github doesn't send push notifications to mobile devices other then @mention this is a great workaround to receive notifications on Discord with this. Using a github trigger was not a good option as there is no trigger for notifications only events (which don't work on org repos). Using http request on notifications api is way better. ++TAGGING USER IN MESSATGE:++ Change ** with your discord Id to get tagged when sending notifications. To find your own id type in any channel backslash followed by your username with the 4 digit hash code You can copy this by clicking on your username next to your profile picture Example: \@username#9999 Enjoy!