Workflow Templates

How it works This workflow automatically monitors multiple websites using AI-powered analysis and MCP (Model Context Protocol) tools. The system runs scheduled checks, analyzes website performance and security using browser-tools-mcp and mcp-recon servers, categorizes issues by severity (critical, warning, info), sends appropriate alerts through Slack and email, and logs all findings to Google Sheets for historical tracking and trend analysis. Who is this for DevOps engineers, website administrators, system monitors, digital agencies, and technical teams responsible for maintaining multiple websites. Perfect for organizations that need automated website health monitoring with intelligent analysis, comprehensive security checks, and immediate alerting for critical issues. Requirements MCP Servers**: Browser-tools-mcp and mcp-recon servers running locally or remotely OpenAI API**: API key for AI-powered website analysis Google Sheets**: Spreadsheet with "Websites" and "Monitoring Log" sheets Slack Integration**: Slack workspace with webhook or bot token for alerts Email Configuration**: SMTP settings for critical email notifications Environment Variables**: Secure storage for all credentials and endpoints How to set up Install and Configure MCP Servers - Set up browser-tools-mcp and mcp-recon servers, configure endpoints in environment variables (MCP_BROWSER_TOOLS_URL, MCP_RECON_URL) Prepare Google Sheets Integration - Create spreadsheet with "Websites" sheet (URL column) and "Monitoring Log" sheet, set GOOGLE_SHEET_ID environment variable Configure Notification Systems - Set up Slack webhook/bot and email SMTP settings, configure SLACK_CHANNEL, ALERT_EMAIL, FROM_EMAIL variables Customize Monitoring Parameters - Update Configuration Variables node with your monitoring thresholds, batch sizes, and website lists How to customize the workflow Modify the Configuration Variables node to adjust monitoring thresholds (response times, performance scores), change batch processing sizes, update notification preferences, or add additional websites to monitor. Customize alert severity rules in the Alert Severity Router and modify notification templates in the Slack and Email nodes.

🛡️ Evaluate Guardrails Node Accuracy with Automated Test Suite This workflow benchmarks the n8n Guardrails node across multiple safety categories -including PII, NSFW, jailbreak attempts, secret keys, and unsafe URLs. It runs 36 structured test cases, classifies each as PASS or VIOLATION, calculates accuracy metrics, and emails a detailed HTML report. 🔄 How it works The workflow loops through 36 predefined test prompts. Each prompt is checked by the Guardrails node for violations. Results are recorded as PASS or VIOLATION. The system calculates metrics (accuracy, precision, recall, F1). A formatted Markdown → HTML report is generated and sent via Gmail. ⚙️ Set up steps Add your OpenAI and Gmail credentials in n8n. Replace YOUR_MAIL_HERE in the Gmail node with your own address. (Optional) Change the model in the OpenAI Chat Model node. Default: gpt-4o-mini You can switch to gpt-5 or another available model if needed. Click Execute Workflow: test cases will run automatically. Check your inbox for the results. 🧠 Who it’s for AI safety testers and workflow developers n8n users experimenting with the Guardrails node Teams validating LLM moderation, filtering, or compliance setups 🧩 Requirements n8n v1.119+ Guardrails node enabled OpenAI credentials (optional but recommended) Email integration (Gmail or SendGrid) 💡 Why it’s useful Use this test suite to understand how accurately the Guardrails node identifies unsafe content across different categories. The generated metrics help you fine-tune thresholds, compare models, and strengthen AI moderation workflows. Example result

Description Synchronize OKRs (Objectives and Key Results) between Monday.com and Jira to automatically calculate progress variance, update dashboards, and share variance reports via Slack and Outlook. This workflow ensures teams have accurate, real-time visibility into performance metrics and project alignment — without manual reconciliation. 🎯📈💬 What This Template Does Step 1: Triggers daily at a scheduled time to fetch the latest OKRs from Monday.com. ⏰ Step 2: Extracts Key Results and their linked Jira epic keys from the OKR board. 🔗 Step 3: Fetches corresponding Jira epic details such as status, assignee, and last updated date. 🧩 Step 4: Merges Monday.com KR data with Jira epic progress through SQL-style joins. 📋 Step 5: Calculates real-time progress and variance against target goals. 📊 Step 6: Updates Monday.com KR items with actual progress, variance percentage, and status (“On Track”, “At Risk”, or “Ahead”). 🔄 Step 7: Aggregates all KR data into a consolidated report for communication. 📦 Step 8: Sends formatted variance reports to Slack and Outlook, with summaries of owner, progress, and variance metrics. 📢 Key Benefits ✅ Automates end-to-end OKR and Jira synchronization ✅ Eliminates manual progress tracking errors ✅ Provides daily visibility on team and project health ✅ Enables proactive risk detection via variance thresholds ✅ Keeps all stakeholders updated via Slack and Outlook ✅ Centralizes OKR performance metrics for reporting Features Daily scheduled trigger for automatic OKR sync Monday.com → Jira data integration via API Real-time variance computation logic Automatic updates of OKR fields in Monday.com SQL-style data merging and aggregation Slack notification with variance summaries Outlook email digest with formatted HTML tables Requirements Monday.com API credentials with board access Jira API credentials with permission to view epics Slack Bot token with chat:write permissions Microsoft Outlook OAuth2 credentials for sending emails Environment variables for board, channel, and recipient configuration Target Audience Product and engineering teams managing OKRs across platforms 🎯 Project managers tracking cross-tool performance metrics 📋 Leadership teams needing automated OKR reporting 💼 Operations and strategy teams monitoring execution health 🧭 Step-by-Step Setup Instructions Connect your Monday.com, Jira, Slack, and Outlook credentials in n8n. 🔑 Replace MONDAY_BOARD_ID, GROUP_ID, and column identifiers with your own. 🧩 Set environment variables for SLACK_CHANNEL_ID and REPORT_RECIPIENT_EMAIL. 💬 Adjust the cron expression to define your sync frequency (e.g., daily at 9 AM). ⏰ Test the workflow with a single OKR item to confirm successful synchronization. 🧠 Enable the workflow to automate daily OKR variance tracking and reporting. ✅

This n8n template from Intuz provides a complete and automated solution for instant team-wide financial visibility. It actively monitors QuickBooks and, upon detecting a new invoice, immediately sends a detailed alert to your chosen Slack channel. For customized reporting, the workflow can pull specific keywords or data like the customer name, invoice amount, and due date directly into the Slack message, creating a complete, real-time feed of your company's sales activity. Use Cases Sales Team Visibility:** Instantly notify the sales channel when an invoice is generated for a deal they closed. Finance & Ops Sync:** Keep the finance team aware of all billing activities as they happen in a dedicated channel. Account Management:** Alert account managers when invoices are sent to their clients, allowing for proactive follow-up. Executive Dashboard:** Create a high-level #billing-feed channel for leadership to monitor revenue-generating activities in real time. How it Works 1. Instant Webhook Trigger: The workflow begins when an invoice is created or updated in QuickBooks. A configured webhook in your Intuit Developer Portal sends a real-time notification to n8n, instantly activating the flow. 2. Fetch Full Invoice Details: The initial webhook payload only contains a basic event notification. This node uses the invoice ID from that payload to query the QuickBooks API and retrieve the full invoice details, such as the customer's name, due date, and domain. 3. Format Key Data: A simple but essential Code node takes the raw data from QuickBooks and cleans it up. It extracts only the most important fields (ID, Domain, Customer Name, Due Date) and organizes them for the next step. 4. Send Slack Notification: The final node crafts a human-readable message and posts it to your chosen Slack channel. The message is dynamically populated with the invoice data, providing a clear and concise update for the whole team. For example: Invoice having ID: 160 having the Domain: QBO for the customer Rondonuwu Fruit and Vegi which is due on 2025-09-07 has been generated successfully. Setup Instructions To get this workflow running, follow these configuration steps: 1. Credentials: QuickBooks: Connect your QuickBooks account credentials to n8n. Slack: Connect your Slack account using OAuth2 credentials. 2. QuickBooks Webhook Configuration: First, activate this n8n workflow. This will make the webhook URL live. Copy the Production URL from the QuickBooks Webhook node. Log in to your Intuit Developer Portal, navigate to the webhooks section for your application, and paste the URL. Ensure you subscribe to Invoice events (e.g., Create, Update, etc.). 3. Node Configuration: Get an invoice: No configuration needed; it will automatically use your QuickBooks credentials. Send a message (Slack): In the parameters, select the Slack Channel where you want the notifications to be posted. Support If you need help setting up this workflow or require a custom version tailored to your specific use case, please feel free to reach out to the template author: 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

This workflow automatically tracks shipments across multiple courier services, updates Google Sheets, and notifies customers via WhatsApp/Email when status changes. Good to know Runs daily at 9 AM and only sends notifications when shipment status actually changes API costs may apply for courier tracking (Delhivery, DHL) and WhatsApp notifications Requires Google Sheet with proper column structure and valid API credentials Currently supports Delhivery and DHL APIs but easily expandable How it works Daily Trigger**: Cron node runs workflow every day at 9 AM Get Shipments List**: Fetches all shipment data from Google Sheet Filter Active Shipments**: Excludes delivered orders and empty tracking numbers Route by Courier**: Directs shipments to appropriate API (Delhivery or DHL) Track via APIs**: Makes real-time tracking calls to courier services Parse Tracking Data**: Normalizes different API responses and detects status changes Check Status Change**: Only processes shipments with actual status updates Update & Notify**: Simultaneously updates Google Sheet, sends WhatsApp message, and email notification Execution Summary**: Logs workflow performance metrics How to use Import the JSON workflow into n8n Create Google Sheet with columns: tracking_number, order_id, customer_email, customer_phone, courier, status, location, last_updated, estimated_delivery Configure credentials: Google Sheets OAuth2, Delhivery API, DHL API, WhatsApp API, SMTP Replace YOUR_GOOGLE_SHEET_ID with actual sheet ID Test workflow manually before enabling daily schedule Requirements Google Sheets API access Courier API keys (Delhivery, DHL) WhatsApp Business API credentials SMTP email service n8n instance (self-hosted or cloud) Customizing this workflow Add courier services**: Create new HTTP Request node and update routing logic Change frequency**: Modify cron expression (hourly: 0 * * * *, twice daily: 0 9,17 * * *) Customize notifications**: Edit WhatsApp/Email templates in respective nodes Add CRM integration**: Insert CRM update node after status change detection

Who is this for? This workflow is for online store owners, support teams, and marketing staff who want to automatically verify WhatsApp numbers and send order invoice links or personalized order updates to customers. It’s built against WooCommerce order webhooks but can be adapted to Shopify or other e-commerce platforms that provide billing and line_items. What this Workflow Does Receives order events (Webhook / WooCommerce order.updated). Normalizes the payload into a compact object: { data: { customer, products, invoice_link } } via a Code node. Iterates items in batches (SplitInBatches) to control throughput. Cleans phone numbers (removes non-digits) and verifies WhatsApp registration using Rapiwa (/api/verify-whatsapp). Sends templated WhatsApp messages through Rapiwa (/api/send-message) for verified numbers. Logs every attempt into Google Sheets: one sheet for verified & sent rows, another for unverified & not sent rows. Uses a Wait node to throttle and loop back into the batch processor. Key Features Trigger-based automation (Webhook or WooCommerce trigger). Payload normalization and mapping via JavaScript Code nodes. Controlled batching (SplitInBatches) to avoid rate limits. Pre-send verification of WhatsApp numbers using Rapiwa. Conditional branching with the IF node to separate verified vs unverified flows. Personalized message templates that pull customer and product fields from the mapped data. Logging and audit trail stored in Google Sheets (two separate append flows). How to Use — Step-by-step Setup Add credentials in n8n Rapiwa: Create an HTTP Bearer credential and paste your Bearer token (example name used in the flow: Rapiwa Bearer Auth). Google Sheets: Create an OAuth2 credential (example: Google Sheets). WooCommerce: Add WooCommerce API credentials for the trigger (or configure Shopify credentials if adapting). Import / configure nodes in n8n Webhook (or WooCommerce Trigger): receive order payloads. Example Webhook path is present in the exported flow. Code node Format Webhook Response Data: map body.billing, body.line_items, body.payment_url into { data: { customer, products, invoice_link } }. Code node Clean WhatsApp Number: ensure the phone number is a string and strip non-digits: String(rawNumber).replace(/\D/g, ""). HTTP Request Check valid whatsapp number Using Rapiwa: POST to https://app.rapiwa.com/api/verify-whatsapp with { number }. Use the Rapiwa Bearer credential. IF If: check verification result. The flow compares {{$json.data.exists}} to "true" in the exported flow; normalize types if your API returns booleans. HTTP Request Rapiwa Sender: POST to https://app.rapiwa.com/api/send-message with number, message_type: 'text', and a templated message (see message template in the flow). Google Sheets Store State of Rows in Verified & Sent and Store State of Rows in Unverified & Not Sent Google Sheet Column Structure Create these columns exactly (the Google Sheets nodes in the flow expect these names): A Google Sheet formatted like this ➤ sample | Name | Number | Email | Address | Product Title | Product ID | Size | Quantity | Total Price | Product Image | Invoice Link | Product Status | Validity | Status | |-----------------|---------------|-------------------|--------------|------------------------------------------------|------------|------|----------|----------------|--------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|----------------|------------|----------| | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur dohs | Air Force 1 Reigning Champ Dark Grey 1:1 - 40 | 251 | 40 | 1 | BDT 5800.00 | | Invoice | on-hold | verified | sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur dohs | Air Force 1 Reigning Champ Dark Grey 1:1 - 40 | 251 | 40 | 1 | BDT 5800.00 | | Invoice | on-hold | unverified | not sent | Customization Ideas Adapt the Code mapping node for Shopify payloads or other marketplaces. Iterate and include multiple products in the message instead of using products[0]. Add filters in the Code node (e.g., only process orders with total > 5000). Add fallback channels (SMS or email) for unverified numbers. Persist logs into a database for analytics and retention beyond Google Sheets. Add admin notifications (Slack, email) at the end of each run. Useful Links Dashboard:** https://app.rapiwa.com Official Website:** https://rapiwa.com Documentation:** https://docs.rapiwa.com Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen

How it Works This workflow automatically monitors your Google Ads campaigns every day, analyzing performance with AI-powered scoring to identify scaling opportunities and catch issues before they drain your budget. Each morning at 9 AM, it fetches all active campaign data including clicks, impressions, conversions, costs, and conversion rates from your Google Ads account. The AI analysis engine evaluates four critical dimensions: CTR (click-through rate) to measure ad relevance, conversion rate to assess landing page effectiveness, cost per conversion to evaluate profitability, and traffic volume to identify scale-readiness. Each campaign receives a performance score (0-100 points) and is automatically categorized as Excellent (75+), Good (55-74), Fair (35-54), or Underperforming (0-34). High-performing campaigns trigger instant Slack alerts to your PPC team with detailed scaling recommendations and projected ROI improvements, while underperforming campaigns generate urgent alerts with specific optimization actions. Every campaign is logged to your Google Sheets dashboard with daily metrics, and the system generates personalized email reports—action-oriented scaling plans for top performers and troubleshooting guides for campaigns needing attention. The entire analysis takes minutes, providing your team with daily intelligence reports that would otherwise require hours of manual spreadsheet work and data analysis. Who is this for? PPC managers and paid media specialists drowning in campaign data and manual reporting Marketing agencies managing multiple client accounts needing automated performance monitoring E-commerce brands running high-spend campaigns who can't afford budget waste Growth teams looking to scale winners faster and pause losers immediately Anyone spending $5K+ monthly on Google Ads who needs data-driven optimization decisions Setup Steps Setup time:** Approx. 15-25 minutes (credential configuration, dashboard setup, alert customization) Requirements:** Google Ads account with active campaigns Google account with a tracking spreadsheet Slack workspace SMTP email provider (Gmail, SendGrid, etc.) Create a Google Sheets dashboard with two tabs: "Daily Performance" and "Campaign Log" with appropriate column headers. Set up these nodes: Schedule Daily Check: Pre-configured to run at 9 AM daily (adjust timing if needed). Fetch Google Ads Data: Connect your Google Ads account and authorize API access. AI Performance Analysis: Review scoring thresholds (CTR, conversion rate, cost benchmarks). Route by Performance: Automatically splits campaigns into high-performers vs. issues. Update Campaign Dashboard: Connect Google Sheets and select your "Daily Performance" tab. Log All Campaigns: Select your "Campaign Log" tab for historical tracking. Slack Alerts: Connect workspace and configure separate channels for scaling opportunities and performance issues. Generate Action Plan: Customize email templates with your brand voice and action items. Email Performance Report: Configure SMTP and set recipient email addresses. Credentials must be entered into their respective nodes for successful execution. Customization Guidance Scoring Weights:** Adjust point values for CTR (30), conversion rate (35), cost efficiency (25), and volume (10) in the AI Performance Analysis node based on your business priorities. Performance Thresholds:** Modify the 75-point Excellent threshold and 55-point Good threshold to match your campaign quality distribution and industry benchmarks. Benchmark Values:** Update CTR benchmarks (5% excellent, 3% good, 1.5% average) and conversion rate targets (10%, 5%, 2%) for your industry. Alert Channels:** Create separate Slack channels for different alert types or route critical alerts to Microsoft Teams, Discord, or SMS via Twilio. Email Recipients:** Configure different recipient lists for scaling alerts (executives, growth team) vs. optimization alerts (campaign managers). Schedule Frequency:** Change from daily to hourly monitoring for high-spend campaigns, or weekly for smaller accounts. Additional Platforms:** Duplicate the workflow structure for Facebook Ads, Microsoft Ads, or LinkedIn Ads with platform-specific nodes. Budget Controls:** Add nodes to automatically pause campaigns exceeding cost thresholds or adjust bids based on performance scores. Once configured, this workflow will continuously monitor your ad spend, identify opportunities worth thousands in additional revenue, and alert you to issues before they waste your budget—transforming manual reporting into automated intelligence. Built by Daniel Shashko Connect on LinkedIn

Header 1Smart Weekly Job Discovery Powered by Decodo This workflow automates the entire search process: every week, it uses Decodo’s reliable scraping engine to scan the web for fresh opportunities in your region and industry — no manual searching, no endless scrolling. Decodo handles the heavy lifting behind the scenes: it gathers search results, opens each job link, and extracts clean, readable text from pages that are normally full of scripts and formatting noise. The workflow always receives structured, usable information ready for AI analysis. Intelligent Matching — Not Just Scraping Once the jobs are collected, the system analyzes the candidate’s CV and compares it to each posting. It evaluates: Skill alignment Experience relevance Domain match Seniority level Then it generates a Match Percentage for each role, filtering out weak options and keeping only meaningful opportunities. A Weekly Report That Feels Human Every week, the workflow sends a polished report straight to your inbox: A quick overview of the candidate’s strengths Best-fit roles sorted by match score Clear reasons why each job fits Posted dates and direct links Insights on skills and market trends It reads like a personalized career briefing — generated automatically. How to Configure It Decodo Setup Add your Decodo API credentials to n8n. The Google Search + Scraper nodes rely on Decodo’s Web Scraping API. Make sure your plan supports scraping LinkedIn/Indeed pages. AI Setup Add your Google Gemini API key. The workflow uses two Gemini models: one for summarizing, one for job-matching. You can switch to OpenAI or Claude if you prefer. CV Input Add your CV text into the workflow (or connect Google Drive/Sheets for auto-loading). The Job Matcher Agent will use this text to compute match percentages. Email Setup Add your Gmail credentials and choose where the final report should be sent. Flexible and Easy to Customize Change the search region. Target different industries. Store all job data in Notion or Google Sheets. With Decodo’s scraping pipeline at the core, the whole process stays consistent, fast, and dependable. If you need any help Get in Touch

This workflow automates the creation and publishing of AI-generated motion videos for TikTok. The process starts with an image and a reference motion video. Using the Kling v2.6 Motion Control AI model, the workflow generates a new animated video where the character from the image replicates the movements from the reference video. Once the AI-generated video is produced, the workflow automatically retrieves the result, uploads it to Postiz, and publishes it directly to TikTok with a predefined caption. Start: Watch the starting video Result: Watch the final video Key Advantages 1. ✅ Full Automation The workflow automates the entire pipeline from AI video generation to social media publishing, eliminating manual steps. 2. ✅ AI-Powered Content Creation By leveraging Kling Motion Control, the system creates dynamic animated content from a static image and motion reference video. 3. ✅ Scalable Content Production This setup enables rapid production of multiple AI-generated videos, making it ideal for automated social media content strategies. 4. ✅ Efficient Asynchronous Processing The workflow uses webhooks and wait nodes to handle long-running AI jobs efficiently without blocking the workflow. 5. ✅ Seamless Social Media Integration Direct integration with Postiz and TikTok allows automatic publishing, streamlining the content distribution process. 6. ✅ Modular and Customizable Each step (AI generation, parsing, upload, publishing) is modular, allowing easy modification for: different AI models other social platforms different prompts or media inputs 7. ✅ Reduced Manual Work Content creators can generate and publish AI-based videos with a single workflow execution. How it works Trigger & Input: The workflow is started manually. The initial "Set params" node defines the key inputs: an image_url, a video_url, and a tiktok_desc (caption). AI Video Generation: The "Run Kling v2.6 Motion Control" node sends a request to the Kie.ai API. It instructs the AI to make the character in the static image follow the movements from the reference video. Crucially, it includes a callBackUrl (the n8n webhook URL from the Wait node) so the API can notify the workflow when the video is ready. The workflow then pauses at the "Wait" node, holding its execution until it receives the callback from Kie.ai. Retrieve Result: Once the AI finishes processing, it sends a request to the "Wait" node's webhook, which resumes the workflow. The "Result" node then fetches the details of the completed job, including a link to the newly generated video (resultUrl). Process for Posting: The "Parsing" node extracts the resultUrl from the API's JSON response. A "Get ResulUrl" Code node formats this data to be passed to the next step. The "Get File Video" node uses the resultUrl to download the actual video file from the temporary URL. Upload & Schedule: The "Upload Video to Postiz" node takes the downloaded video file and uploads it to the Postiz platform using a multipart/form-data request. The final "TikTok" (Postiz) node creates a new post. It uses the video ID returned from the upload and the tiktok_desc from the initial parameters to schedule the post to the specified TikTok integration. Setup steps To make this workflow work for you, you need to configure the following: Set Input Parameters: In the "Set params" node, replace the example image_url, video_url, and tiktok_desc with your own values. image_url: Direct URL to the static character image. video_url: Direct URL to the reference movement video. tiktok_desc: The caption you want for the final TikTok post. Kie.ai API Credentials: Locate the "Run Kling v2.6 Motion Control" and "Result" nodes. You will need to provide credentials for httpBearerAuth. Replace the existing credential ID with your own Kie.ai API credentials. Ensure the credential is configured with a valid API Bearer Token. Postiz API Credentials: Locate the "Upload Video to Postiz" node. Provide credentials for httpHeaderAuth. Replace the existing credential ID with your own Postiz API key. This key must be set as a header for authentication. Postiz Integration ID: In the final "TikTok" (Postiz) node, look for the field integrationId inside the posts.post.value object. Replace the placeholder "XXX" with the actual Integration ID for your TikTok account from Postiz. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Who is this for Content creators, social media managers, and solopreneurs who want to automate carousel post creation and multi-platform publishing from a single Telegram message. What this workflow does This workflow turns a Telegram message or voice note into a fully designed carousel post published simultaneously to Instagram, Facebook, and TikTok. An AI agent drafts quotes and captions, you approve via chat, and the rest happens automatically -- image generation, publishing, and status tracking. How it works Telegram input -- Send a topic or idea to the Telegram bot as a text message or voice note. Voice transcription -- If a voice note is detected, OpenAI Whisper transcribes it to text. AI drafting -- An AI Agent (OpenAI GPT with conversation memory and structured output) generates a short script, 5 carousel quotes, and a social media caption with hashtags. Review loop -- The draft is sent back to Telegram. You can request changes -- the agent refines until you approve. Data logging -- Approved quotes and the caption are saved to a Google Sheets spreadsheet for reference. Image generation -- Each of the 5 quotes is rendered as a styled carousel slide using your APITemplate.io template. Multi-platform publishing -- The carousel is posted to Instagram, Facebook (with page selection), and TikTok via Blotato. Status monitoring -- Each platform's publish status is polled in a retry loop. You receive a Telegram confirmation on success or an error notification if something fails. Setup steps Telegram Bot -- Create a bot via @BotFather and add the API token as a Telegram credential in n8n. OpenAI -- Add your API key as an OpenAI credential. Used for both the AI Agent and Whisper transcription. Google Sheets -- Create an OAuth2 credential. Set up a spreadsheet with columns: run_id, quote1–quote5, social_media_text. Update the Sheet ID and tab in the Google Sheets node. APITemplate.io -- Create an account and design a carousel slide template. Set the template ID in the five image generation nodes. Blotato -- Connect your Instagram, Facebook, and TikTok accounts in Blotato. Add the Blotato API credential in n8n. Update the account and page IDs in the three publishing nodes. Requirements Community node:* @blotato/n8n-nodes-blotato -- *self-hosted n8n only** OpenAI API key Google Sheets OAuth2 credentials APITemplate.io account and template Blotato account with connected social media profiles Telegram Bot token How to customize AI prompt** -- Edit the system message in the "AI: Draft & Revise Post" node to change tone, quote count, or output structure. Carousel design** -- Modify or replace the APITemplate.io template ID to use your own visual design. Platforms** -- Remove or add publishing nodes if you only need some platforms (e.g., Instagram only). Approval flow** -- Adjust the approval keywords in the AI prompt (currently: "approved", "ok", "looks good", "ship it"). Retry timing** -- Change the wait durations in the status-check loops to match your preferred polling interval.

How it works: Get multi social platform data for newsletter subscribers with their email and tag them to enter organic creator, partner and ambassador workflows. Step by step workflow to enrich subscriber emails with multi social (Instagram, Tiktok, Youtube, Twitter, Onlyfans, Twitch and more) profiles, analytics and metrics using the influencers.club API and tagging them on Mailchimp to route campaigns. Set up: Mailchimp (can be swapped for any email marketing sender eg. ActiveCampaign) Influencers.club API

How it works: Get multi social platform data for event attendees with their email and send personalized emails to onboard them as organic creators or ambassadors. Step by step workflow to enrich event attendees emails from Eventbrite with multi social (Instagram, Tiktok, Youtube, Twitter, Onlyfans, Twitch and more) profiles, analytics and metrics using the influencers.club API and sending personalized partnership outreach via SendGrid. Set up: Eventbrite (can be swapped for any event CRM, general CRM or Google Sheet) Influencers.club SendGrid (can be swapped for any marketing email sender eg. Mailchimp, drip or programmatic email sender like Mailgun)