This article provides a complete, practical walkthrough of the Manual Flow Import Triggered n8n agent. It connects Manual Trigger, Flow across approximately 3 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 Manual Trigger, Flow, 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

• Manual Trigger
• Flow

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Task Retrieval with n8n: How to Fetch All Tasks from Flow with a Simple Workflow  
   
   Meta Description:  
   Learn how to use n8n to automate the retrieval of all tasks from Flow. This guide walks you through setting up a basic workflow using Flow's API and n8n's Manual Trigger node.  
   
   Keywords:  
   n8n workflow, Flow API, task automation, no-code automation, get all tasks, API integration, task management, Flow task integration, n8n tutorial, no-code tools  
   
   Third-Party APIs Used:  
   - Flow API (https://www.getflow.com/developer/)  
   
   Article:  
   
   Automating Task Retrieval with n8n: How to Fetch All Tasks from Flow with a Simple Workflow  
   
   In the rapidly evolving world of automation and task management, streamlining repetitive processes is essential for productivity. One such common task for teams using Flow—an intuitive project management and collaboration tool—is retrieving all existing tasks for analysis, reporting, or integration into other systems. If this sounds like something you’d benefit from, then using a no-code workflow automation platform like n8n can be an ideal solution.
   
   In this short article, we’ll walk through a simple n8n workflow designed to fetch all tasks from Flow using its API. With just two nodes, this workflow demonstrates how straightforward it can be to connect Flow with n8n and automate task retrieval.
   
   Overview of the Workflow  
   
   This particular n8n workflow is titled “Get all the tasks in Flow.” It consists of two main nodes:
   
   1. Manual Trigger Node  
   2. Flow API Node
   
   Here’s a breakdown of what each component does and how they work together.
   
   Step 1: Manual Trigger Node
   
   The workflow begins with a Manual Trigger node. This node doesn’t run automatically or on a schedule—instead, it executes only when initiated manually from within the n8n interface. This makes it perfect for testing or one-off operations such as ad-hoc reporting or validation purposes.
   
   In the configuration JSON, this node is represented like this:
   
   {
     "name": "On clicking 'execute'",
     "type": "n8n-nodes-base.manualTrigger"
   }
   
   As soon as the user clicks “Execute Workflow” in n8n, this node fires, activating the workflow.
   
   Step 2: Flow API Node
   
   Once triggered manually, the workflow proceeds to the Flow API node. This node makes a call to Flow using the “getAll” operation. Here is an excerpt of the relevant configuration:
   
   {
     "type": "n8n-nodes-base.flow",
     "parameters": {
       "filters": {},
       "operation": "getAll",
       "returnAll": true
     }
   }
   
   There are no filters applied, meaning the workflow retrieves all tasks, regardless of project, assignee, or status. The “returnAll” flag is set to true, which ensures that all matching tasks are returned in a single request (or paginated automatically by n8n as necessary). This makes it especially powerful if you're looking to work with full datasets without writing custom code.
   
   This node relies on Flow’s official API, and n8n expects authentication credentials (e.g., an API key or OAuth token) to be configured on the backend. The credentials block in this example is currently empty, indicating that authentication still needs to be added—an essential step before this workflow can start pulling in real data.
   
   Connecting the Dots
   
   The connection between both nodes is straightforward: once the manual trigger is fired, it moves directly into the Flow API node, which takes care of retrieving data from the Flow service. The two nodes are visually represented in a linear fashion on the n8n canvas:
   
   "connections": {
       "On clicking 'execute'": {
         "main": [
           [
             {
               "node": "Flow",
               "type": "main",
               "index": 0
             }
           ]
         ]
       }
   }
   
   How You Can Use This Workflow
   
   This basic setup can be extended for multiple real-world use cases, such as:
   
   - Pushing task data to Google Sheets or Airtable for external reporting.
   - Filtering tasks by project or assignee on the fly.
   - Sending team members notifications based on the retrieved data.
   - Archiving tasks into databases for historical tracking.
   
   With n8n’s drag-and-drop interface and ability to integrate with over 200 different services, you could build on this base to create highly customized automations with Flow.
   
   Tips for Getting Started
   
   If you're just beginning your journey with n8n or Flow, here are a few steps to ensure success:
   
   - Get your Flow API credentials: You'll need an account with Flow and access to your personal or team API token.
   - Secure your n8n instance: Whether you’re running n8n locally or in production, make sure your instance is secure.
   - Test your filter logic: If you do decide to filter tasks by criteria such as project or completion status, it’s a good idea to test the filters in Flow’s API documentation first.
   - Extend thoughtfully: Allow this foundation workflow to evolve with your needs by plugging new services or logic nodes downstream.
   
   Conclusion
   
   In just two quick steps, you can use n8n to fetch all tasks from Flow using their API. This simple guide serves as a great starting point for developers, project managers, or non-technical users who want to automate and centralize their Flow task data. As you grow more comfortable with n8n, the possibilities for extending this workflow into more complex automations are nearly endless.
   
   Whether you want to improve reporting, unify project data, or simply save time reviewing tasks, this n8n + Flow API combo is a powerful, flexible solution any team can benefit from.
   
   Ready to build? Download this workflow into your n8n instance, add your Flow credentials, and hit “Execute” to see the power of automation in action.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. 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.