This n8n workflow is designed to automate the aggregation, processing, and reporting of community statistics related to n8n creators and workflows. Its primary purpose is to generate insightful reports that highlight top contributors, popular workflows, and key trends within the n8n ecosystem. Here's how it works and why it's important: How It Works Data Retrieval: The workflow fetches JSON data files from a GitHub repository containing statistics about creators and workflows. It uses HTTP requests to access these files dynamically based on pre-defined global variables. Data Processing: The data is parsed into separate streams for creators and workflows. It processes the data to identify key metrics such as unique weekly and monthly inserters/visitors. Ranking and Filtering: The workflow sorts creators by their weekly inserts and workflows by their popularity. It selects the top 10 creators and top 50 workflows for detailed analysis. Report Generation: Using AI tools like GPT-4 or Google Gemini, the workflow generates a Markdown report summarizing trends, contributors, and workflow statistics.
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Summarize Zoom meetings and create follow-ups with OpenAI, ClickUp, and Outlook
Quick overview This workflow pulls the transcript and participant list from a recent Zoom meeting, uses OpenAI to generate formal meeting minutes, emails the summary via SMTP, and runs an AI agent that creates ClickUp tasks and (when details exist) schedules a follow-up meeting in Microsoft Outlook Calendar. How it works Starts when you manually run the workflow. Fetches your scheduled Zoom meetings and keeps only those that started within the last 24 hours. Requests the meeting recording files from Zoom, stops with an error if no transcript is available, then extracts the transcript download URL. Downloads the Zoom transcript file, extracts its text, and reformats it into clean, readable dialogue. Pulls the Zoom meeting participant list (including emails) and sends the transcript and participants to OpenAI to generate structured meeting minutes. Formats the minutes into an HTML email and sends the summary via SMTP to a participant email address. Uses an OpenAI-powered agent to extract action items and follow-up details from the same transcript, then creates tasks in ClickUp and creates a follow-up event in Microsoft Outlook Calendar when scheduling information is present. Setup Ad
CAnswer WooCommerce order and DHL tracking questions with GPT-4 chat
Quick overview This workflow serves a demo web page with an n8n chat widget and runs an OpenAI-powered support agent that looks up WooCommerce orders and DHL tracking details by calling the same workflow as a tool. How it works Serves a demo HTML page via a webhook that embeds the n8n Chat widget configured to start a chat session. Triggers a new conversation when the chat widget connects and provides a customer email (mocked in this template) as session metadata. Uses an OpenAI (GPT-4) chat model with short-term memory to answer order-related questions and decide when to fetch live order data. Calls the same workflow as a tool with the customer email (and optional comma-separated order IDs) to retrieve matching WooCommerce orders. Looks up the WooCommerce customer by email, fetches their orders, and extracts shipment tracking metadata from each order. For orders with DHL tracking numbers, queries the DHL API for current shipment status, then merges tracking results back into the order data. Returns a JSON response containing the customer’s orders and any available DHL tracking details to the agent for use in the chat reply. Setup Add a WooCommerce API credential and update the sto
WSend weekly blended ad performance reports with Meta Ads, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am, pulls last-7-days performance data from the Meta Ads API, Google Ads API, and Google Analytics 4, calculates blended KPIs, uses OpenAI to generate a client-friendly insight summary, and delivers an HTML report by Gmail while posting status update to Slack. How it works Runs every Monday at 8am on a schedule trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights endpoint. Fetches the last 7 days of campaign cost, clicks, and conversions from the Google Ads API using a streamed search query. Fetches the last 7 days of conversions and revenue by default channel group from the Google Analytics 4 Data API. Combines the three datasets and calculates blended totals for spend, conversions, revenue, and ROAS. Sends the blended metrics to OpenAI to generate a 3–4 sentence plain-language weekly performance summary. Builds a simple HTML report and sends it to the client via Gmail while posting a short “report sent” summary to a Slack channel. If the workflow execution fails, posts the error message to an ops Slack channel. Setup Add credentials and replace the placeholders for your Meta Ads token and ad