Add articles to a Notion list by accessing a Discord slash command
This workflow allows you to add articles to a Notion reading list by accessing a Discord slash command. Prerequisites A Notion account and credentials, and a reading list similar to this template. A Discord account and credentials, and Discord Slash Command connected to n8n. Nodes Webhook node triggers the workflow whenever the Discord Slash command is issued. IF node checks the type returned by Discord. If the type is not equal to 1, it will return true, otherwise false. HTTP Request node makes an HTTP call to the link and gets the HTML of the webpage. HTML Extract node extracts the title from the HTML which we will use in the next node. Notion node adds the link to your Notion reading list. Set nodes set the reply values for Discord and register the Interaction Endpoint URL.
By Harshil AgrawalWebsite lead capture with Apollo.io enrichment, HubSpot storage & Gmail notifications
What problem does this workflow solve? Capture leads from your website, enrich them via Apollo, store them in HubSpot, send a personalized thank-you email, and notify your team—all automatically. What does this workflow do? Capture leads from website forms automatically. Send a personalized thank-you email to each new lead. Enrich lead data using Apollo for deeper insights. Create or update a contact/lead in HubSpot CRM. Notify the internal team via email about the new lead. Setup Gmail Setup Create Gmail Credentials by creating a project in Google Cloud Console. Hubspot Setup Create Hubspot Credentials with App Token. How it Works: This workflow automates your lead capture, enrichment, and follow-up process to ensure no opportunity is missed. Here's how it works: Website Form Submission A visitor submits a lead form on your website. Lead details like name, email, company, and message are captured instantly. Personalized Thank-You Email A customized thank-you email is automatically sent to the lead, building trust and confirming receipt of their inquiry. Apollo Lead Enrichment The captured data is enriched using Apollo to fetch additional information like job title, LinkedIn profile, and other details. This helps you better understand and qualify your leads. Create Lead in HubSpot The enriched lead information is pushed into HubSpot as a new contact or lead. Duplicate checks ensure that there are no repeat entries. Internal Notification An email notification with enriched lead details is sent to your team. Your team can follow up immediately with a complete profile. Who can use it? This workflow can be used by any website owner with a "Get In Touch" or "Contact Us" button.
By InfyOm Technologies2-way sync Google Contacts and Notion
Sync your Google Contacts with your Notion database. You can filter contacts by label or sync all contacts. All contact information is kept in sync between Google and Notion. What happens if I delete a contact? It gets deleted on the other end. Google Contact deleted → Notion page deleted Notion page deleted → Google contact deleted But you can easily change this behavior by disabling the respective deletion nodes. Who is this template for? Service providers looking to keep track of client information Organized individuals who like to centralize their lives in Notion Automation nerds who enjoy creating interesting projects How it works First, you perform an initial import to bring your contacts from Google to Notion. After that, the workflow listens for changes in both Notion and Google and keeps everything in sync. How to set up Instructions are included within the workflow itself. Check out my other templates 👉 https://n8n.io/creators/solomon/
By SolomonDaily Google Ads performance to Notion and Google Sheets
Description This workflow automates the daily reporting of Google Ads campaign performance. It pulls click and conversion data from the Google Ads API, merges both datasets, and stores the results into Notion databases and Google Sheets. It includes a campaign-level log and a daily performance summary. The workflow is triggered automatically every day at 08:00 AM, helping marketing teams maintain a consistent and centralized reporting system without manual effort. --- How It Works Scheduled Trigger at 08:00 AM The workflow begins with a Schedule Trigger node that runs once per day at 08:00. Set Yesterday’s Date The Set node defines a variable for the target date (yesterday), which is used in the API queries. Query Google Ads API – Clicks & Cost The first HTTP request pulls campaign-level metrics: campaign.id, campaign.name metrics.clicks, metrics.impressions, metrics.cost_micros Query Google Ads API – Conversions The second HTTP request pulls conversion-related data: metrics.conversions, segments.conversionactionname Split and Merge Both responses are split into individual campaign rows and merged using: campaign.id segments.date Store Campaign-Level Data Stored in Notion database: "Google Ads Campaign Tracker" Appended to Google Sheets tab: "Campaign Daily Report" Generate Daily Summary A code node calculates daily totals across all campaigns: Total impressions, clicks, conversions, cost Unique conversion types The summary is stored in: Notion database: "Google Ads Daily Summary" Google Sheets tab: "Summary Report" --- Setup Steps Schedule the Workflow The workflow is triggered using a Schedule Trigger node Set the schedule to run every day at 08:00 AM Connect it to the Set Yesterday Date node Google Ads API Access Create a Google Ads developer account and obtain a developer token Set up OAuth2 credentials with Google Ads scope In n8n, configure the Google Ads OAuth2 API credential Ensure HTTP request headers include: developer-token login-customer-id Content-Type: application/json Notion Database Setup Create two databases in Notion: Google Ads Campaign Tracker Fields: Campaign Name, Campaign ID, Impressions, Clicks, Cost, Conversion Type, Conversions, Date Google Ads Daily Summary Fields: Date, Total Impressions, Total Clicks, Total Conversions, Total Cost, Conversion Types Share both databases with your Notion integration Google Sheets Setup Create a spreadsheet with two tabs: Campaign Daily Report → for campaign-level rows Summary Report → for daily aggregated metrics Match all column headers to the workflow fields Connect your Google account to n8n using Google Sheets OAuth2 --- Output Summary Notion Databases: Google Ads Campaign Tracker: stores individual campaign metrics Google Ads Daily Summary: stores daily totals and conversion types Google Sheets Tabs: Campaign Daily Report: per-campaign data Summary Report: aggregated daily performance
By Aziz devAI testimonial extractor agent: feedback to marketing gold
AI Testimonial Extractor Agent: Feedback to Marketing Gold Subtitle: Feedback to Marketing Gold 🌍 Overview This workflow transforms raw customer feedback from Google Forms into short, emotionally engaging testimonials using Google Gemini. It then saves the testimonial back into Google Sheets and notifies the marketing team via email. Think of it as your automatic testimonial assistant. --- 🟢 Section 1: Trigger – Capture New Feedback 🔗 Node: New Form Response Trigger (Google Sheets Trigger) Watches for new rows added to a Google Sheet (linked to your form). Starts the workflow whenever a customer submits feedback. 💡 Why useful? No manual copy-pasting — the process kicks off instantly. 📩 Example: Someone fills in: > “The product made my workflow so much easier — I finished tasks in half the time!” --- 🟦 Section 2: AI Extraction with Gemini 🔗 Nodes: Extract Testimonial with Gemini → Uses Google Gemini Flash to rephrase the raw feedback into a concise testimonial. Google Gemini Chat Model → Supports the LLM chain. 🧠 Prompt Logic: Keep only the emotional & engaging part. Remove neutral/irrelevant text. Return only the testimonial quote. 💡 Why useful? Raw feedback is often long or messy → Gemini cleans it up into a marketing-ready quote. 📩 Example output: > “This tool cut my work time in half and boosted my productivity instantly!” --- 🟣 Section 3: Save to Database 🔗 Node: Save Extracted Testimonial (Google Sheets) Saves the following data into the sheet: Timestamp Name Email Original Feedback Extracted Testimony 💡 Why useful? Keeps an organized log of all testimonials in one place. --- 🟡 Section 4: Notify the Marketing Team 🔗 Node: Notify Marketing Team (Gmail) Sends an email alert with the new testimonial. Subject: New Testimonial Extracted Body: Contains the extracted quote. 💡 Why useful? Your team gets notified in real time → no need to keep checking the sheet. --- 📊 Workflow Summary | Section | Node(s) | Purpose | Benefit | | ---------------- | --------------------- | -------------------------------- | -------------------------- | | 🟢 Trigger | Google Sheets Trigger | Detects new form submissions | Fully automated start | | 🟦 AI Extraction | Gemini LLM Chain | Turns raw feedback → testimonial | Marketing-ready content | | 🟣 Save | Google Sheets | Logs testimonial + user info | Organized central database | | 🟡 Notify | Gmail | Emails marketing team | Real-time updates | --- 🚀 Benefits Automation → No manual editing or sorting needed. Consistency → Every testimonial is short, emotional, and engaging. Centralized storage → Everything logged in Google Sheets. Team alignment → Marketing notified instantly. --- ⚡ Bonus: You already added Sticky Notes inside the workflow → makes it beginner-friendly for anyone opening it in n8n. ---
By Yaron Been🛠️ Grafana tool MCP server 💪 all 16 operations
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? Join the community Complete MCP server exposing all Grafana Tool operations to AI agents. Zero configuration needed - all 16 operations pre-built. ⚡ Quick Setup Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Grafana Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Grafana Tool tool with full error handling 📋 Available Operations (16 total) Every possible Grafana Tool operation is included: 🔧 Dashboard (5 operations) • Create a dashboard • Delete a dashboard • Get a dashboard • Get many dashboards • Update a dashboard 🔧 Team (5 operations) • Create a team • Delete a team • Get a team • Get many teams • Update a team 🔧 Teammember (3 operations) • Add a team member • Get many team members • Remove a team member 👤 User (3 operations) • Delete a user • Get many users • Update a user 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Grafana Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Grafana Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
By David AshbyAutomate Google Ads copy optimization with Channable feed and Relevance AI
🧠 Google Ads Monthly Performance Optimization (Channable + Google Ads + Relevance AI) 🚀 Overview This workflow automatically analyzes your Google Ads performance every month, identifies top-performing themes and categories, and regenerates optimized ad copy using Relevance AI — powered by insights from your Channable product feed. It then saves the improved ads to Google Sheets for review and sends a detailed performance report to your Slack workspace. Ideal for marketing teams who want to automate ad optimization at scale with zero manual intervention. --- 🔗 Integrations Used Google Ads → Fetch campaign and ad performance metrics using GAQL. Relevance AI → Analyze performance data and regenerate ad copy using AI agents and tools. Channable → Pull updated product feeds for ad refresh cycles. Google Sheets → Save optimized ad copy for review and documentation. Slack → Send a 30-day performance report to your marketing team. --- 🧩 Workflow Summary | Step | Node | Description | | ---- | --------------------------------------------------- | --------------------------------------------------------------------------- | | 1 | Monthly Schedule Trigger | Runs automatically on the 1st of each month to review last 30 days of data. | | 2 | Get Google Ads Performance Data | Fetches ad metrics via GAQL query (impressions, clicks, CTR, etc.). | | 3 | Calculate Performance Metrics | Groups results by ad group and theme to find top/bottom performers. | | 4 | AI Performance Analysis (Relevance AI) | Generates human-readable insights and improvement suggestions. | | 5 | Update Knowledge Base (Relevance AI) | Saves new insights for future ad copy training. | | 6 | Get Updated Product Feed (Channable) | Retrieves the latest catalog items for ad regeneration. | | 7 | Split Into Batches | Splits the feed into groups of 50 to avoid API rate limits. | | 8 | Regenerate Ad Copy with Insights (Relevance AI) | Rewrites ad copy with the latest product and performance data. | | 9 | Save Optimized Ads to Sheets | Writes output to your “Optimized Ads” Google Sheet. | | 10 | Generate Performance Report | Summarizes the AI analysis, CTR trends, and key insights. | | 11 | Email Performance Report (Slack) | Sends report directly to your Slack channel/team. | --- 🧰 Requirements Before running the workflow, make sure you have: A Google Ads account with API access and OAuth2 credentials. A Relevance AI project (with one Agent and one Tool setup). A Channable account with API key and project feed. A Google Sheets document for saving results. A Slack webhook URL for sending performance summaries. --- ⚙️ Environment Variables Add these environment variables to your n8n instance (via .env or UI): | Variable | Description | | -------------------------------- | ------------------------------------------------------------------- | | GOOGLEADSAPI_VERSION | API version (e.g., v17). | | GOOGLEADSCUSTOMER_ID | Your Google Ads customer ID. | | RELEVANCEAIAPI_URL | Base Relevance AI API URL (e.g., https://api.relevanceai.com/v1). | | RELEVANCEAGENTPERFORMANCE_ID | ID of your Relevance AI Agent for performance analysis. | | RELEVANCEKNOWLEDGESOURCE_ID | Knowledge base or dataset ID used to store insights. | | RELEVANCETOOLADCOPYID | Relevance AI tool ID for generating ad copy. | | CHANNABLEAPIURL | Channable API endpoint (e.g., https://api.channable.com/v1). | | CHANNABLECOMPANYID | Your Channable company ID. | | CHANNABLEPROJECTID | Your Channable project ID. | | FEED_ID | The feed ID for product data. | | GOOGLESHEETID | ID of your Google Sheet to store optimized ads. | | SLACKWEBHOOKURL | Slack Incoming Webhook URL for sending reports. | --- 🔐 Credentials Setup in n8n | Credential | Type | Usage | | ----------------------------------------------- | ------- | --------------------------------------------------- | | Google Ads OAuth2 API | OAuth2 | Authenticates your Ads API queries. | | HTTP Header Auth (Relevance AI & Channable) | Header | Uses your API key as Authorization: Bearer <key>. | | Google Sheets OAuth2 API | OAuth2 | Writes optimized ads to Sheets. | | Slack Webhook | Webhook | Sends monthly reports to your team channel. | --- 🧠 Example AI Insight Output json { "insights": [ "Ad groups using 'vegan' and 'organic' messaging achieved +23% CTR.", "'Budget' keyword ads underperformed (-15% CTR).", "Campaigns featuring 'new' or 'bestseller' tags showed higher conversion rates." ], "recommendations": [ "Increase ad spend for top-performing 'vegan' and 'premium' categories.", "Revise copy for 'budget' and 'sale' ads with low CTR." ] } --- 📊 Output Example (Google Sheet) | Product | Category | Old Headline | New Headline | CTR Change | Theme | | ------------------- | -------- | ------------------------ | -------------------------------------------- | ---------- | ------- | | Organic Protein Bar | Snacks | “Healthy Energy Anytime” | “Organic Protein Bar — 100% Natural Fuel” | +12% | Organic | | Eco Face Cream | Skincare | “Gentle Hydration” | “Vegan Face Cream — Clean, Natural Moisture” | +17% | Vegan | --- 📤 Automation Flow Run Automatically on the first of every month (cron: 0 0 1 ). Fetch Ads Data → Analyze & Learn → Generate New Ads → Save & Notify. Every iteration updates the AI’s knowledge base — improving your campaigns progressively. --- ⚡ Scalability The flow is batch-optimized (50 items per request). Works for large ad accounts with up to 10,000 ad records. AI analysis & regeneration steps are asynchronous-safe (timeouts extended). Perfect for agencies managing multiple ad accounts — simply duplicate and update the environment variables per client. --- 🧩 Best Use Cases Monthly ad creative optimization for eCommerce stores. Marketing automation for Google Ads campaign scaling. Continuous learning ad systems powered by Relevance AI insights. Agencies automating ad copy refresh cycles across clients. --- 💬 Slack Report Example 30-Day Performance Optimization Report Date: 2025-10-01 Analysis Period: Last 30 days Ads Analyzed: 842 Top Performing Themes Vegan: 5.2% CTR (34 ads) Premium: 4.9% CTR (28 ads) Underperforming Themes Budget: 1.8% CTR (12 ads) AI Insights “Vegan” and “Premium” themes outperform baseline by +22% CTR. “Budget” ads underperform due to lack of value framing. Next Optimization Cycle: 2025-11-01 --- 🛠️ Maintenance Tips Update your GAQL query occasionally to include new metrics or segments. Refresh Relevance AI tokens every 90 days (if required). Review generated ads in Google Sheets before pushing them live. Test webhook and OAuth connections after major n8n updates. --- 🧩 Import Instructions Open n8n → Workflows → Import from File / JSON. Paste this workflow JSON or upload it. Add all required environment variables and credentials. Execute the first run manually to validate connections. Once verified, enable scheduling for automatic monthly runs. --- 🧾 Credits Developed for AI-driven marketing teams leveraging Google Ads, Channable, and Relevance AI to achieve continuous ad improvement — fully automated via n8n.
By Nikan NoorafkanCreate, update alerts 🛠️ UptimeRobot tool MCP server 💪 all 21 operations
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? Join the community Complete MCP server exposing all UptimeRobot Tool operations to AI agents. Zero configuration needed - all 21 operations pre-built. ⚡ Quick Setup Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every UptimeRobot Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n UptimeRobot Tool tool with full error handling 📋 Available Operations (21 total) Every possible UptimeRobot Tool operation is included: 👤 Account (1 operations) • Get an account 🔧 Alertcontact (5 operations) • Create an alert contact • Delete an alert contact • Get an alert contact • Get many alert contacts • Update an alert contact 🔧 Maintenancewindow (5 operations) • Create a maintenance window • Delete a maintenance window • Get a maintenance window • Get many maintenance windows • Update a maintenance window 🔧 Monitor (6 operations) • Create a monitor • Delete a monitor • Get a monitor • Get many monitors • Reset a monitor • Update a monitor 🔧 Publicstatuspage (4 operations) • Create a public status page • Delete a public status page • Get a public status page • Get many public status pages 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native UptimeRobot Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every UptimeRobot Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
By David AshbyGPT-4.1-mini Powered Invoice Processing from Gmail to Google Sheets with Slack
AI-Powered Invoice Processing from Gmail to Google Sheets with Slack Approval This workflow completely automates your invoice processing pipeline. It triggers when a new invoice email arrives in Gmail, uses AI to extract key data from the PDF attachment, logs it in a Google Sheet, and sends a request to Slack with simple links for one-click approval or rejection. Who's it for? This template is perfect for small business owners, finance teams, freelancers, and anyone looking to eliminate the manual work of processing invoices. It saves hours of data entry, reduces human error, and streamlines the approval process. How it works Trigger: The workflow starts when an email with a specific subject (e.g., "Invoice") arrives in Gmail. Extraction: It automatically downloads the first PDF attachment from the email and extracts all its text content. AI Processing: The extracted text is sent to an AI model, which intelligently identifies and pulls out key details: invoice number, issue date, company name, total amount, and due date. Logging: This structured data is appended as a new row in your Google Sheet. The status is automatically set to "pending". The full, raw text from the PDF is also saved for easy verification. Approval Request: A formatted message is sent to a designated Slack channel. This message includes the key invoice details and two unique links: one to approve and one to reject the invoice. Handle Response: When a user clicks either the "Approve" or "Reject" link, the corresponding Webhook in the workflow is triggered. Update Sheet: The workflow finds the correct row in the Google Sheet using the invoice number and updates its status to "approved" or "rejected". Confirmation: A final confirmation message is sent to the Slack channel, closing the loop and informing the team of the action taken. How to set up Credentials: Add your credentials for Gmail, OpenAI, Google Sheets, and Slack in the designated nodes. Gmail Trigger: In the "1. New Invoice Email Received" node, change the search query q from "incoice" to the keyword you use for invoice emails (e.g., "invoice"). Google Sheets: In the three Google Sheets nodes ("6. Log Invoice...", "9a. Update Status to Approved", and "9b. Update Status to Rejected"), enter your Google Sheet ID and the name of the sheet. Slack: In the three Slack nodes ("7. Send Approval Request...", "10a. Send Approval Confirmation", and "10b. Send Rejection Confirmation"), enter your Slack Channel ID. Webhook URLs: First, activate the workflow using the toggle in the top-right corner. Open the "Webhook (Approve)" node, go to the Production URL tab, and copy the URL. Paste this URL into the "7. Send Approval Request to Slack" node, replacing the https://YOURWEBHOOKBASE_URL/webhook/approval part of the approval link. Repeat this process for the "Webhook (Reject)" node and the rejection link. Activate Workflow: Ensure the workflow is active for the Webhooks to work continuously. How to customize AI Prompt: You can modify the prompt in the "5. Extract Invoice Data with AI" node to extract different or additional fields to match your specific invoice formats. Slack Messages: Feel free to customize the text in all three Slack nodes to better fit your team's tone and communication style.
By koichi naginoTriage product UAT feedback with OpenAI, Notion, Slack and Gmail
Description Automatically triage Product UAT feedback with AI, deduplicate it against your existing Notion backlog, create/update the right Notion item, and close the loop with the tester (Slack or email). This workflow standardizes incoming UAT feedback, runs AI classification (type, severity, summary, suggested title, confidence), searches Notion to prevent duplicates, and upserts the roadmap entry for product review. It then confirms receipt to the tester and returns a structured webhook response. Context Feature requests often arrive unstructured and get lost across channels. Product teams waste time re-triaging the same ideas, creating duplicates, and manually confirming receipt. This workflow ensures: Faster feature request triage Fewer duplicates in your roadmap/backlog Consistent structure for every feedback item Automatic tester acknowledgement Full traceability via webhook response Who is this for? Product Managers running UAT or beta programs Product Ops teams managing a roadmap backlog Teams collecting feature requests via forms, Slack, or internal tools Anyone who wants AI speed with clean backlog hygiene Requirements Webhook trigger (form / Slack / internal tool) OpenAI account (AI triage) Notion account (roadmap/backlog database) Slack and/or Gmail (tester notification) How it works Trigger: feedback received via webhook Normalize & Clean: standardizes fields and cleans message AI Triage: returns structured JSON (type, severity, title, confidence…) Notion Dedupe & Upsert: search by suggested title → update if found, else create Closed Loop: notify tester (Slack or email) + webhook response payload What you get One workflow to capture and structure feature requests Clean Notion backlog without duplicates Automatic tester confirmation Structured output for downstream automation About me : I’m Yassin a Product Manager Scaling tech products with a data-driven mindset. 📬 Feel free to connect with me on Linkedin
By Yassin Zehar