Back to Catalog

Realtime Notion Todoist 2-way sync with Redis

MarioMario
8276 views
2/3/2026
Official Page

Purpose

This solution enables you to manage all your Notion and Todoist tasks from different workspaces as well as your calendar events in a single place.

All tasks can be managed in Todoist and additionally Fantastical can be used to manage scheduled tasks & events all together.

Demo & Explanation

demo video

How it works

  • The realtime sync consists of two workflows, both triggered by a registered webhook from either Notion or Todoist
  • To avoid overwrites by lately arriving webhook calls, every time the current task is retrieved from both sides.
  • Redis is used to prevent from endless loops, since an update in one system triggers another webhook call again. Using the ID of the task, the trigger is being locked down for 15 seconds.
  • Depending on the detected changes, the other side is updated accordingly. Generally Notion is treaded as the main source. Using an "Obsolete" Status, it is guaranteed, that tasks never get deleted entirely by accident.
  • The Todoist ID is stored in the Notion task, so they stay linked together
  • An additional full sync workflow daily fixes inconsistencies, if any of them occurred, since webhooks cannot be trusted entirely.
  • Since Todoist requires a more complex setup, a tiny workflow helps with activating the webhook.
  • Another tiny workflow helps generating a global config, which is used by all workflows for mapping purposes.

Mapping (Notion >> Todoist)

  • Name: Task Name
  • Priority: Priority (1: do first, 2: urgent, 3: important, 4: unset)
  • Due: Date
  • Status: Section (Done: completed, Obsolete: deleted)
  • <page_link>: Description (read-only)
  • Todoist ID: <task_id>

Current limitations

  • Changes on the same task cannot be made simultaneously in both systems within a 15-20 second time frame
  • Subtasks are not linked automatically to their parent yet
  • Recurring tasks are not supported yet
  • Tasks names do not support URL’s yet

Prerequisites

Notion

  • A database must already exist (get a basic template here) with the following properties (case matters!):
    • Text: "Name"
    • Status: "Status", containing at least the options "Backlog", "In progress", "Done", "Obsolete"
    • Select: "Priority", containing the options "do first", "urgent", "important"
    • Date: "Due"
    • Checkbox: "Focus"
    • Text: "Todoist ID"

Todoist

  • A project must already exist with the same sections like defined as Status in Notion (except Done and Obsolete)

Redis

Setup

setup video

The setup involves quite a lot of steps, yet many of them can be automated for business internal purposes.

Just follow the video or do the following steps:

  • Setup credentials for Notion (access token), Todoist (access token) and Redis - you can also create empty credentials and populate these later during further setup
  • Clone this workflow by clicking the "Use workflow" button and then choosing your n8n instance - otherwise you need to map the credentials of many nodes.
  • Follow the instructions described within the bundle of sticky notes on the top left of the workflow

How to use

  • You can apply changes (create, update, delete) to tasks both in Notion and Todoist which then get synced over within a couple of seconds (this is handled by the differential realtime sync)
  • The daily running full sync, resolves possible discrepancies in Todoist and sends a summary via email, if anything needed to be updated. In case that contains an unintended change, you can jump to the Task from the email directly to fix it manually.

n8n Workflow: Realtime Notion & Todoist 2-Way Sync with Redis (Placeholder)

This n8n workflow demonstrates a robust framework for real-time, two-way synchronization between Notion and Todoist, leveraging Redis for state management. While the provided JSON is a placeholder and does not contain the full logic for actual Notion or Todoist operations, it outlines the architectural components necessary for such a system.

Note: The provided JSON is a placeholder and mainly contains core n8n nodes. It does not include the specific configurations for Notion, Todoist, or Redis operations. To make this workflow fully functional for two-way sync, you would need to implement the detailed logic within the HTTP Request, Redis, Notion, and Todoist nodes, as well as the conditional logic in the If and Switch nodes.

What it does (Architectural Outline)

This workflow is designed to:

  1. Receive Webhook Events: Act as an entry point for real-time updates from either Notion or Todoist (or both).
  2. Process Incoming Data: Use HTTP Request to potentially fetch or send data, and Code nodes for custom data manipulation.
  3. Manage State with Redis: Interact with a Redis database to store and retrieve synchronization states, preventing infinite loops or duplicate entries during two-way sync.
  4. Conditional Routing: Utilize If and Switch nodes to direct the workflow based on the type of event (e.g., Notion update vs. Todoist update, create vs. update vs. delete).
  5. Data Transformation: Employ Edit Fields (Set), HTML, Aggregate, and Split Out nodes to prepare data for different services.
  6. Compare Datasets: Use Compare Datasets to identify changes between the current state and the synchronized state in Redis.
  7. Synchronize with Notion: (Placeholder) Interact with Notion to create, update, or delete tasks/items.
  8. Synchronize with Todoist: (Placeholder) Interact with Todoist to create, update, or delete tasks.
  9. Handle Errors: Include Stop and Error nodes for robust error handling.
  10. Respond to Webhooks: Send responses back to the originating service if required.
  11. Sub-workflow Execution: Potentially execute other n8n workflows for modularity.
  12. Scheduled Operations: Include a Schedule Trigger for periodic checks or maintenance tasks.

Prerequisites/Requirements

To make this workflow fully functional, you will need:

  • n8n Instance: A running instance of n8n.
  • Notion Account: With API access and an integration set up.
  • Todoist Account: With API access.
  • Redis Instance: A running Redis server for state management.
  • Credentials: Configured n8n credentials for:
    • Notion API
    • Todoist API
    • Redis
    • Any other HTTP endpoints used.
  • Webhook Endpoints: Configured webhooks in Notion and Todoist to trigger this n8n workflow.

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the three dots next to "New Workflow" and select "Import from JSON".
    • Paste the JSON and click "Import".
  2. Configure Credentials:
    • Locate the Notion, Todoist, and Redis nodes (and any HTTP Request nodes that require authentication).
    • Click on each node and configure the necessary credentials. If you don't have them set up, you'll need to create new credentials in n8n.
  3. Configure Webhooks:
    • Open the Webhook trigger node.
    • Copy the "Webhook URL".
    • Go to your Notion and Todoist settings and configure webhooks to send events to this URL. You will need to define which events (e.g., task created, updated, deleted) should trigger the webhook.
  4. Implement Core Logic:
    • The HTTP Request, Redis, Notion, Todoist, If, Switch, and Code nodes are placeholders. You will need to add the specific API calls, data transformations, and conditional logic to perform the actual two-way sync. This includes:
      • Parsing Webhook Data: Extracting relevant information from incoming Notion/Todoist webhook payloads.
      • Redis Operations: Storing and retrieving item IDs and last updated times to track sync status and prevent loops.
      • Notion/Todoist API Calls: Making API requests to create, update, or delete items in the respective services based on changes detected.
      • Conflict Resolution: Implementing logic to handle potential conflicts if an item is updated in both Notion and Todoist simultaneously.
  5. Activate the Workflow: Once configured and tested, activate the workflow in n8n.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

Automate invoice processing with OCR, GPT-4 & Salesforce opportunity creation

PDF Invoice Extractor (AI) End-to-end pipeline: Watch Drive ➜ Download PDF ➜ OCR text ➜ AI normalize to JSON ➜ Upsert Buyer (Account) ➜ Create Opportunity ➜ Map Products ➜ Create OLI via Composite API ➜ Archive to OneDrive. --- Node by node (what it does & key setup) 1) Google Drive Trigger Purpose: Fire when a new file appears in a specific Google Drive folder. Key settings: Event: fileCreated Folder ID: google drive folder id Polling: everyMinute Creds: googleDriveOAuth2Api Output: Metadata { id, name, ... } for the new file. --- 2) Download File From Google Purpose: Get the file binary for processing and archiving. Key settings: Operation: download File ID: ={{ $json.id }} Creds: googleDriveOAuth2Api Output: Binary (default key: data) and original metadata. --- 3) Extract from File Purpose: Extract text from PDF (OCR as needed) for AI parsing. Key settings: Operation: pdf OCR: enable for scanned PDFs (in options) Output: JSON with OCR text at {{ $json.text }}. --- 4) Message a model (AI JSON Extractor) Purpose: Convert OCR text into strict normalized JSON array (invoice schema). Key settings: Node: @n8n/n8n-nodes-langchain.openAi Model: gpt-4.1 (or gpt-4.1-mini) Message role: system (the strict prompt; references {{ $json.text }}) jsonOutput: true Creds: openAiApi Output (per item): $.message.content → the parsed JSON (ensure it’s an array). --- 5) Create or update an account (Salesforce) Purpose: Upsert Buyer as Account using an external ID. Key settings: Resource: account Operation: upsert External Id Field: taxid_c External Id Value: ={{ $json.message.content.buyer.tax_id }} Name: ={{ $json.message.content.buyer.name }} Creds: salesforceOAuth2Api Output: Account record (captures Id) for downstream Opportunity. --- 6) Create an opportunity (Salesforce) Purpose: Create Opportunity linked to the Buyer (Account). Key settings: Resource: opportunity Name: ={{ $('Message a model').item.json.message.content.invoice.code }} Close Date: ={{ $('Message a model').item.json.message.content.invoice.issue_date }} Stage: Closed Won Amount: ={{ $('Message a model').item.json.message.content.summary.grand_total }} AccountId: ={{ $json.id }} (from Upsert Account output) Creds: salesforceOAuth2Api Output: Opportunity Id for OLI creation. --- 7) Build SOQL (Code / JS) Purpose: Collect unique product codes from AI JSON and build a SOQL query for PricebookEntry by Pricebook2Id. Key settings: pricebook2Id (hardcoded in script): e.g., 01sxxxxxxxxxxxxxxx Source lines: $('Message a model').first().json.message.content.products Output: { soql, codes } --- 8) Query PricebookEntries (Salesforce) Purpose: Fetch PricebookEntry.Id for each Product2.ProductCode. Key settings: Resource: search Query: ={{ $json.soql }} Creds: salesforceOAuth2Api Output: Items with Id, Product2.ProductCode (used for mapping). --- 9) Code in JavaScript (Build OLI payloads) Purpose: Join lines with PBE results and Opportunity Id ➜ build OpportunityLineItem payloads. Inputs: OpportunityId: ={{ $('Create an opportunity').first().json.id }} Lines: ={{ $('Message a model').first().json.message.content.products }} PBE rows: from previous node items Output: { body: { allOrNone:false, records:[{ OpportunityLineItem... }] } } Notes: Converts discount_total ➜ per-unit if needed (currently commented for standard pricing). Throws on missing PBE mapping or empty lines. --- 10) Create Opportunity Line Items (HTTP Request) Purpose: Bulk create OLIs via Salesforce Composite API. Key settings: Method: POST URL: https://&lt;your-instance&gt;.my.salesforce.com/services/data/v65.0/composite/sobjects Auth: salesforceOAuth2Api (predefined credential) Body (JSON): ={{ $json.body }} Output: Composite API results (per-record statuses). --- 11) Update File to One Drive Purpose: Archive the original PDF in OneDrive. Key settings: Operation: upload File Name: ={{ $json.name }} Parent Folder ID: onedrive folder id Binary Data: true (from the Download node) Creds: microsoftOneDriveOAuth2Api Output: Uploaded file metadata. --- Data flow (wiring) Google Drive Trigger → Download File From Google Download File From Google → Extract from File → Update File to One Drive Extract from File → Message a model Message a model → Create or update an account Create or update an account → Create an opportunity Create an opportunity → Build SOQL Build SOQL → Query PricebookEntries Query PricebookEntries → Code in JavaScript Code in JavaScript → Create Opportunity Line Items --- Quick setup checklist 🔐 Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. 📂 IDs: Drive Folder ID (watch) OneDrive Parent Folder ID (archive) Salesforce Pricebook2Id (in the JS SOQL builder) 🧠 AI Prompt: Use the strict system prompt; jsonOutput = true. 🧾 Field mappings: Buyer tax id/name → Account upsert fields Invoice code/date/amount → Opportunity fields Product name must equal your Product2.ProductCode in SF. ✅ Test: Drop a sample PDF → verify: AI returns array JSON only Account/Opportunity created OLI records created PDF archived to OneDrive --- Notes & best practices If PDFs are scans, enable OCR in Extract from File. If AI returns non-JSON, keep “Return only a JSON array” as the last line of the prompt and keep jsonOutput enabled. Consider adding validation on parsing.warnings to gate Salesforce writes. For discounts/taxes in OLI: Standard OLI fields don’t support per-line discount amounts directly; model them in UnitPrice or custom fields. Replace the Composite API URL with your org’s domain or use the Salesforce node’s Bulk Upsert for simplicity.

Le NguyenBy Le Nguyen
942