Workflow Templates

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This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works It creates a nested folder in your OneDrive's My Files You could be creating folders like: Foobar Foobar/Barfur Foobar/Barfur/Furbar Workflow checks if any of the folders in the path exists and created only the ones that don't exist. The usual case it to use it in your other workflows and execute it as Sub-workflow. Requirements n8n-nodes-datastore Community node Microsoft Drive account credential

🤖📝 Auto-Document Workflows with GPT-4o-mini Sticky Notes Skip the tedious part of writing documentation and turn your n8n workflows into clear, shareable blueprints — fully automated. This workflow takes any workflow JSON, parses its nodes, generates structured sticky notes (both per-node and a general overview), and arranges them neatly on your canvas. No more messy layouts or missing documentation — everything is handled in one click. It’s perfect if you want to publish to the n8n marketplace, onboard teammates quickly, or just keep your own automations easy to understand months later. 💡 What this workflow does ✅ Loads your existing workflow from a JSON file 🔍 Parses and unwraps real nodes (ignoring old stickies) 🤖 Uses AI to create concise sticky notes for each node 📝 Adds a general overview sticky with goals, flow, parameters, and gotchas 📐 Arranges all nodes + stickies (node above, sticky below, right-to-left) 💾 Saves a new documented workflow JSON, ready to reuse or share ⚙️ Step-by-step setup Prepare your workflow file Export your n8n workflow JSON or point to an existing file path. Configure the “Load Workflow” node Update the file selector to your JSON path, e.g. /workflows/myflow.json. Add your OpenAI credentials In the OpenAI API nodes (Node Sticky Notes + Overall Sticky Note), insert your API key. Run the workflow Trigger manually with the Execute Workflow node. The script will parse your nodes, generate stickies, and align them on the canvas. Save the result The “Save Documented Workflow” node writes a new file, e.g. /workflows/myflow-with-sticky.json. 🛠 Customization Sticky layout:** Adjust spacing, colors, and alignment in the Layout Blocks RTL node (tweak GAP_X, GAP_Y, or STICKY_COLOR). Word count & style:** Edit prompts inside the OpenAI nodes to make notes shorter, longer, or more technical. Overview focus:** Customize the Your Workflow Description node to pass context (e.g., project goals, intended audience). File outputs:** Save to a new path/version for version control of your documentation. ⚠️ Limitations / Gotchas Maximum of ~50 nodes are summarized in the overview for brevity. Old sticky notes are removed and replaced — you can’t preserve them unless you fork the workflow. Complex nodes (large Code / AI prompts) may require manual edits for clarity. Ensure n8n has read/write access to your workflow JSON paths. 🎯 Expected result After execution, you’ll get a fully documented workflow JSON where each node is paired with a clean sticky note, plus an overview note neatly placed on the canvas. You can open this new file in n8n, share it, or submit it directly to the marketplace. 📬 Contact & Feedback Need help customizing this? Have ideas for improvement? 📩 Luis.acosta@news2podcast.com 🐦 DM me on Twitter @guanchehacker If you’re working on advanced workflow documentation + AI, let’s talk — this template can be a foundation for more powerful tools.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Comprehensive Literature Review Automation Automate your literature review process by searching across multiple academic databases, parsing papers, and organizing findings into a structured review document. Features: Search multiple academic databases simultaneously (PubMed, ArXiv, Google Scholar, etc.) Parse and analyze top papers automatically Generate citation-ready summaries Export to various formats (Markdown, Word, PDF) Workflow Steps: Input: Research topic and parameters PDF Vector Search: Query multiple academic databases Filter & Rank: Select top relevant papers Parse Papers: Extract content from PDFs Synthesize: Create literature review sections Export: Generate final document Use Cases: PhD students conducting systematic reviews Researchers exploring new fields Grant writers needing background sections

This workflow automates the process of scraping, analyzing, and storing real estate data from Zillow using Apify, OpenAI, and Google Sheets. It begins by running an Apify Actor that extracts live property details such as price, location, and key features. The data is then cleaned and processed before being analyzed by an AI model that assigns an investment potential score (1–10). To maintain reliable results, the AI only scores properties that include all required fields — for example, listings missing price or description data are automatically skipped. This ensures that only complete and accurate information is evaluated. Finally, all valid results are appended or updated in a Google Sheet, creating a central, always-up-to-date property database for future analysis. Ideal for real estate investors, analysts, and data-driven agencies, this template provides a fully automated loop for property collection, evaluation, and reporting — all in one flow. Tools used: Apify, OpenAI, Google Sheets, n8n

Overview This workflow automatically collects the latest articles from Google News RSS feeds, cleans and deduplicates them, and stores them neatly in a Google Sheet. It runs on a set schedule (every Monday at 09:00 by default) and helps you build a fresh pool of content ideas for newsletters, blogs, or social media. What you can do with it 🔎 Research faster – pull in fresh articles from multiple RSS sources without manual searching. 🧼 Clean & normalize – extract the real article URL (instead of Google redirects), keep only the title, summary, and date. 🗑 No duplicates – filter out empty or repeated entries before they ever reach your sheet. 📊 Central storage – append all new, unique links into a Google Sheet for review or further automation. How it works Trigger – Cron starts the flow every Monday at 09:00 (you can change the schedule). RSS Read – Fetches articles from multiple Google News queries (e.g., “AI”, “AI Automation”). Merge – Combines all feed results into one list. Set (Clean URL) – Extracts the real URL, title, summary, and publication date. Filter – Ensures only items with a valid title and URL continue. Unique by URL – Removes duplicate articles across feeds. Google Sheets Append – Saves new links into your chosen Sheet for review and later use. Setup Instructions Import workflow into your n8n instance. Update RSS feeds: Replace the example Google News RSS URLs (AI, AI Automation) with your own queries. Format: https://news.google.com/rss/search?q=YOUR_QUERY&hl=de&gl=DE&ceid=DE:de Connect Google Sheets: Add your Google Sheets credentials. Select the documentId (the spreadsheet) and sheetName (the tab) in the Append new Links node. Recommended columns: date, title, url, summary. Adjust schedule: In the Trigger: Montag 09:00 node, change the cron expression to daily or multiple times per day if you want. Run test: Execute once manually. Check your sheet for the first rows. Tips & Extensions ✅ Add more RSS Read nodes for additional sources (blogs, media outlets, niche topics). ✅ Chain this workflow with an AI node (OpenAI/GPT) to automatically generate post ideas from the collected articles. ✅ Notify yourself in Slack/Telegram when new articles are added. ✅ Use a status column (Draft, Approved, Posted) to manage a simple content pipeline directly from the sheet. 👉 With this template you’ll never run out of content ideas – everything flows into one place, ready to inspire your next posts, newsletters, or campaigns.

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