Automated daily workflow backups to Google Drive with cleanup
n8n Workflow Backup System
π₯ Who's it for
This workflow is perfect for n8n users who want to automatically backup all their workflows πΎ to Google Drive with zero manual effort. Perfect for teams managing multiple workflows or anyone who values data safety! π
π€ What it does
It automatically creates daily backups of all your n8n workflows to Google Drive in readable JSON format, organizes them in dated folders, and cleans up old backups to save storage space. Set it and forget it! β¨
βοΈ How it works
Spanish Version (EspaΓ±ol) πͺπΈ
- β° Schedule Trigger β Runs automatically every day at 4:00 AM
- π Create New Folder β Creates a timestamped backup folder in Google Drive
- π n8n API Connection β Fetches all workflows from your n8n instance
- π Loop Over Items β Processes each workflow individually through two paths:
- Upper Path (Cleanup):
- ποΈ Get Folders β Retrieves all existing backup folders
- π Filter β Excludes the current folder
- ποΈ Delete Folder β Permanently removes old backups
- Lower Path (Backup):
- π Convert to File β Transforms workflow to formatted JSON
- βοΈ Google Drive β Saves JSON file to backup folder
- Upper Path (Cleanup):
English Version π¬π§
Identical functionality with English interface
π Requirements
- n8n instance with API access enabled
- Google Drive account with sufficient storage
- n8n API credentials configured
- Google Drive OAuth2 credentials configured
π οΈ How to set up
-
Configure n8n API credentials:
- Format:
https://your-instance.n8n.io/api/v1 - Generate API key from your n8n instance settings
- Format:
-
Set up Google Drive credentials:
- Connect your Google account via OAuth2
- Grant necessary permissions for folder creation and file management
-
Configure target folder:
- Create a parent folder in Google Drive (e.g., "N8N Backups")
- Copy the folder ID from the URL
- Update the
folderIdin "create new folder" nodes
-
Adjust schedule (optional):
- Default: 4:00 AM daily
- Modify
triggerAtHourin Schedule Trigger node
-
Test manually:
- Use the Manual Trigger to test before scheduling
- Verify folders are created and files are saved correctly
-
Activate the workflow β
π¨ How to customize
- Change backup frequency: Modify Schedule Trigger settings (hourly, weekly, monthly)
- Keep multiple backup versions: Remove or modify the cleanup path to retain more history
- Change folder naming: Edit the folder name format in "create new folder" node (default:
Workflow Backups [day] [time] [date]) - Backup to different location: Change the parent folder ID
- Add notifications: Include email/Slack nodes to get backup completion alerts
- Filter specific workflows: Add Filter node after n8n node to backup only certain workflows
β οΈ Important Notes
- Old backups are permanently deleted by default to save space
- Ensure sufficient Google Drive storage for your workflow size
- API credentials must have read access to all workflows
- The workflow processes items sequentially to avoid rate limits
Automated Daily Workflow Backups to Google Drive with Cleanup
This n8n workflow automates the daily backup of your n8n workflows to Google Drive, ensuring you always have a recent copy of your automations. It also includes a cleanup mechanism to prevent an excessive number of backups by deleting older versions.
What it does
This workflow simplifies the process of backing up your n8n workflows by:
- Triggering Daily: It is scheduled to run once every day.
- Listing All Workflows: It fetches a list of all active workflows within your n8n instance.
- Filtering for Active Workflows: It specifically filters for workflows that are currently active.
- Looping Through Workflows: It iterates over each active workflow found.
- Fetching Workflow Details: For each workflow, it retrieves its full JSON definition.
- Converting to File: It converts the JSON definition of each workflow into a
.jsonfile. - Uploading to Google Drive: It uploads each
.jsonworkflow file to a specified folder in your Google Drive. - Listing Existing Backups: After backing up, it lists all existing backup files in the Google Drive folder.
- Filtering Old Backups: It identifies backup files older than a specified retention period (e.g., 7 days).
- Deleting Old Backups: It deletes the identified old backup files from Google Drive, keeping your backup folder clean.
Prerequisites/Requirements
- n8n Instance: An active n8n instance where this workflow will be imported and run.
- Google Drive Account: A Google Drive account with sufficient storage space for your backups.
- Google Drive Credentials: Configured Google Drive OAuth2 credentials in n8n with access to create, list, and delete files in the target folder.
- n8n API Key: An n8n API key configured as a credential in n8n, allowing the workflow to interact with your n8n instance's API (to list and get workflows).
Setup/Usage
- Import the Workflow:
- Download the workflow JSON.
- In your n8n instance, go to "Workflows" and click "New".
- Click the three dots menu (...) and select "Import from JSON".
- Paste the workflow JSON content and click "Import".
- Configure Credentials:
- Locate the "Google Drive" node and select your pre-configured Google Drive OAuth2 credentials. If you don't have them, create new ones following the n8n documentation for Google Drive.
- Locate the "n8n" node and select your pre-configured n8n API key credentials. If you don't have them, create new ones following the n8n documentation for n8n API.
- Configure Google Drive Folder:
- In the "Google Drive" upload node, specify the target folder ID where you want to store your backups.
- In the "Google Drive" list and delete nodes, ensure they are configured to operate on the same backup folder.
- Configure Cleanup Retention:
- Adjust the "Filter" node after listing Google Drive files to define your desired backup retention period (e.g., delete files older than 7 days).
- Activate the Workflow:
- Ensure the "Schedule Trigger" node is configured to run daily at your preferred time.
- Save and activate the workflow.
Once activated, the workflow will automatically run daily, back up your active n8n workflows to Google Drive, and clean up old backups.
Related Templates
AI-powered code review with linting, red-marked corrections in Google Sheets & Slack
Advanced Code Review Automation (AI + Lint + Slack) Whoβs it for For software engineers, QA teams, and tech leads who want to automate intelligent code reviews with both AI-driven suggestions and rule-based linting β all managed in Google Sheets with instant Slack summaries. How it works This workflow performs a two-layer review system: Lint Check: Runs a lightweight static analysis to find common issues (e.g., use of var, console.log, unbalanced braces). AI Review: Sends valid code to Gemini AI, which provides human-like review feedback with severity classification (Critical, Major, Minor) and visual highlights (red/orange tags). Formatter: Combines lint and AI results, calculating an overall score (0β10). Aggregator: Summarizes results for quick comparison. Google Sheets Writer: Appends results to your review log. Slack Notification: Posts a concise summary (e.g., number of issues and average score) to your teamβs channel. How to set up Connect Google Sheets and Slack credentials in n8n. Replace placeholders (<YOURSPREADSHEETID>, <YOURSHEETGIDORNAME>, <YOURSLACKCHANNEL_ID>). Adjust the AI review prompt or lint rules as needed. Activate the workflow β reviews will start automatically whenever new code is added to the sheet. Requirements Google Sheets and Slack integrations enabled A configured AI node (Gemini, OpenAI, or compatible) Proper permissions to write to your target Google Sheet How to customize Add more linting rules (naming conventions, spacing, forbidden APIs) Extend the AI prompt for project-specific guidelines Customize the Slack message formatting Export analytics to a dashboard (e.g., Notion or Data Studio) Why itβs valuable This workflow brings realistic, team-oriented AI-assisted code review to n8n β combining the speed of automated linting with the nuance of human-style feedback. It saves time, improves code quality, and keeps your teamβs review history transparent and centralized.
AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp
This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The βvirtual executive team,β is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier π― Core Features π§βπΌ 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. π 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. π΅οΈββοΈ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. β° 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline β key traits for early-stage success. ποΈ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. π¬ WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. βοΈ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. π§© Integrations Required Gemini API β for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API β for business and competitor analysis SerpAPI β for market research and opportunity scouting Google OAuth β to connect Sheets, Calendar, and Gmail WhatsApp Business API β for message triggers and responses π Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. π§° Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startupβs needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you π‘ Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business
π How to transform unstructured email data into structured format with AI agent
This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From β senderβs email address To β recipientβs email address Subject β email subject line Summary β short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits β Full Automation: Eliminates manual reading and data entry from incoming emails. β Multi-Source Integration: Handles data from different email providers seamlessly. β AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. β Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. β Time Efficiency: Processes emails in real time, improving productivity and response speed. *β Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.