Code Todoist Create Scheduled – Project Management | Complete n8n Scheduled Guide (Intermediate)
This article provides a complete, practical walkthrough of the Code Todoist Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.
What This Agent Does
This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.
It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.
Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.
How It Works
The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.
Third‑Party Integrations
- HTTP Request
- Webhook
Import and Use in n8n
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automating Recurring Daily Tasks in Todoist Using n8n Workflows Meta Description: Discover how to automate recurring Todoist tasks using n8n to streamline your morning routine. Learn how this workflow generates daily tasks based on templates with custom due times. Keywords: n8n, Todoist automation, Todoist recurring tasks, daily task automation, n8n workflow, todoist API, productivity automation, task templates Third-party APIs Used: - Todoist API (via n8n’s Todoist nodes) --- Article: Automating Your Daily Task Routine in Todoist with n8n If you're a frequent Todoist user, you've probably come across one big productivity hurdle: managing recurring tasks efficiently. While Todoist supports recurring due dates, setting up dynamic, complex repeat logic — like creating different tasks on specific days with custom due times — often requires more flexibility. That’s where n8n, an open-source workflow automation tool, comes in. In this article, we’ll explore a powerful n8n workflow that automates the creation of daily tasks in Todoist based on a custom template project and set rules. With a flexible yet simple tagging structure, this automation streamlines your task management process while giving you full control over what gets created and when. 🧩 Workflow Overview The workflow begins at 5:10 AM every day and does the following: 1. Checks your Todoist inbox for existing tasks with the label daily and deletes them. 2. Pulls tasks from a designated “template” Todoist project. 3. Parses the task descriptions looking for specific scheduling information such as: - days: mon,tues - due: 8am 4. Compares the task’s specified "days" with the current day of the week. 5. If there’s a match, the task is replicated to your Inbox, complete with a precise due date and internal tagging. 6. The new task includes a daily label, which the workflow removes the next day before recreating the next set. This loop ensures that only today’s tasks are present in your Inbox — clean, relevant, and timely. 🛠️ Setup Instructions Before diving into the technical breakdown, here’s a suggested setup: 1. Connect your Todoist account to n8n by adding your Todoist credentials in the credentials section. 2. Create a Todoist project named template. This project will contain the set of tasks you want to copy each day. 3. Format each task description using a simple syntax like: ``` days:mon,tues; due:8am ``` This tells the automation when and what time to clone the task. 🧠 Breaking Down the Workflow Let’s look at the core components of the workflow and what they do: 📍 1. Daily Triggers - A Schedule Trigger node wakes the workflow every morning at 5:10 AM. 📍 2. Deleting Old Tasks - The first branch of the flow fetches tasks from your Inbox. - It filters tasks labeled daily. - Any such task is deleted to keep your Inbox clean for the new batch. 📍 3. Loading the Template Tasks - A second parallel trigger at the same time initiates another branch. - This fetches all tasks from your “template” project. 📍 4. Parsing Task Descriptions - Once the template tasks are fetched, a Code node parses each task's description. - It looks for key-value pairs like days and due and interprets them. - The due time string (e.g., "8am", "12.30pm") is converted into a UTC datetime object using a custom JavaScript function. 📍 5. Filtering by Current Day - A Filter node then determines which tasks apply to today's day of the week. - If today is Tuesday, for example, only tasks with tues in their days field pass through. 📍 6. Creating New Tasks - Finally, a Create Todoist Task node writes a new task into your Inbox. - These newly created tasks carry over the content and description from the template, are scheduled based on your due spec, and are initially tagged with the label daily — signaling which tasks to delete on the next run. 🔄 Self-Maintaining Loop This workflow is designed to be self-maintaining. It ensures tasks don’t pile up and are recreated only when needed. That’s made possible by toggling the daily label, which acts like a soft marker for deletion. 📝 Example: Creating a Weekly Gym Task Imagine you have a task in your template project that reads: ``` content: Go to the gym description: days:mon,thurs; due:6am ``` Every Monday and Thursday at 5:10 AM, n8n checks this template: - Parses out that it's for Monday and Thursday. - Sees that today is Thursday. - Creates "Go to the gym" in your Todoist Inbox, due at 6:00 AM today. The seamless cycle repeats every applicable day. 🌐 Why This Beats Native Recurrence Todoist’s native recurrence is powerful, but it lacks flexibility. You can’t easily have different due times or vary recurrence patterns for the same task without duplicating entries manually. This n8n workflow offers: - Central management on a single template project - Custom parsing of due times down to the minute - Multi-day handling from a single formatted description - Built-in cleaning mechanism that prevents clutter 🔌 Integration Details This workflow uses the Todoist API via n8n's native Todoist node. You don't need to create your own HTTP requests or handle OAuth manually — simply authenticate once, and you're ready to build scalable workflows. 🎯 Final Thoughts With a simple scheduling syntax and n8n’s automation prowess, this workflow turns Todoist into an advanced personal assistant. And because it’s open-source and customizable, you can expand it in any number of ways: send reminders to Slack, add calendar events, or even trigger workflows based on task completion. Whether you’re setting a morning routine, tracking workout sessions, or simply automating recurring chores, n8n and Todoist make it happen — automatically. 💡 Pro Tip: Add descriptions like: ``` days:mon,wed,fri; due:7.30am ``` And watch dedicated tasks show up right when you need them. Take control of your day, every day — with precision, and with hardly lifting a finger. — Written by your AI automation assistant 🤖✨
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- Enable the workflow to run on schedule, webhook, or triggers as configured.
Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.
Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.
Why Automate This with AI Agents
AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.
n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.
Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.
Best Practices
- Credentials: restrict scopes and rotate tokens regularly.
- Resilience: configure retries, timeouts, and backoff for API nodes.
- Data Quality: validate inputs; normalize fields early to reduce downstream branching.
- Performance: batch records and paginate for large datasets.
- Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
- Security: avoid sensitive data in logs; use environment variables and n8n credentials.
FAQs
Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.
How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.
Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.
Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.