This article provides a complete, practical walkthrough of the Readbinaryfile Onfleet Create n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Simple setup in 5-15 minutes. One‑time purchase: €9.

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

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 Delivery Task Creation: How to Sync Google Sheets with Onfleet Using n8n
   
   Meta Description: Learn how to automate the creation of Onfleet delivery tasks from spreadsheet data using n8n. Streamline logistics operations and eliminate manual data entry with this no-code workflow.
   
   Keywords: n8n automation, Onfleet integration, automate delivery tasks, Google Sheets to Onfleet, spreadsheet automation, logistics workflow, no-code tools, task creation automation
   
   Third-Party APIs Used:
   
   - Onfleet API
   
   Article:
   
   In today's dynamic logistics landscape, companies are constantly seeking smarter and faster ways to manage delivery operations. Manual data entry from spreadsheets into delivery management systems can be time-consuming and error-prone, especially when handling a high volume of tasks. By leveraging powerful automation platforms like n8n, businesses can eliminate these burdens and improve operational efficiency. One such use case is automatically creating Onfleet delivery tasks from spreadsheet data — and it’s easier than you think.
   
   In this article, we introduce an n8n workflow designed to streamline this exact process. Using a combination of n8n nodes, you can read delivery data from an Excel spreadsheet and feed it directly into Onfleet, creating tasks automatically — no manual copy and paste required.
   
   What Is n8n and Why Use It?
   
   n8n (short for “nodemation”) is a powerful open-source workflow automation tool that allows users to connect various apps through a visual editor, without needing to write extensive code. It offers seamless integration with hundreds of APIs and services, including Google Sheets, CRMs, messaging platforms, and logistics tools such as Onfleet. With its node-based design, users can define complex logic in a simple drag-and-drop interface.
   
   Overview of the n8n Workflow
   
   This workflow, titled “Create Onfleet Tasks from Spreadsheets”, involves three main steps:
   
   1. Reading the Spreadsheet File
   2. Parsing the Spreadsheet Data
   3. Creating Delivery Tasks in Onfleet
   
   Let’s walk through each step.
   
   Step 1: Read the Spreadsheet File
   
   At the heart of this automation is the Read Binary File node. It targets a local file — in this example, “Onfleet Import Google Sheet.xlsx” — and loads it into the workflow. This is typically a spreadsheet that contains all required delivery task details such as recipient name, contact number, address, and task notes.
   
   Node Used: Read Binary File  
   File Path Specified: /Users/jamesli/Downloads/Onfleet Import Google Sheet.xlsx
   
   Once the file is read into memory, it’s handed off to the next step: parsing.
   
   Step 2: Parse the Spreadsheet Data
   
   The Spreadsheet File node is responsible for parsing the binary Excel file into a format that n8n can work with — typically JSON. Each row in the spreadsheet is parsed into a JSON object, where column headers become keys. This structured data forms the basis for dynamically populating the Onfleet task creation fields.
   
   For example:
   - "Recipient_Name" becomes the value for Onfleet's recipient name field.
   - "Address_Line1", "City/Town", and "Postal_Code" are combined to generate the destination address.
   - “Task_Details” maps directly to task notes within Onfleet.
   
   Node Used: Spreadsheet File
   
   Step 3: Create Onfleet Tasks
   
   The final step is where the magic happens — the Onfleet node creates delivery tasks using the structured data from the spreadsheet. For each row in the spreadsheet, a separate task is created.
   
   Key mappings include:
   - Address: A combination of multiple fields such as Address_Line1, Address_Line2, City/Town, State/Province, Country, and Postal_Code.
   - Notes: Mapped from "Task_Details".
   - Recipient Information: Includes name, phone number (formatted with a U.S. country code "+1"), and any notes from "Recipient_Notes”.
   
   Node Used: Onfleet  
   Operation: Create Task  
   Authentication: Onfleet API Key (stored securely in credentials)
   
   Each task is instantly populated in Onfleet, ready for assignment, routing, and delivery.
   
   Benefits of This Automation
   
   1. Time Savings: Eliminate repetitive data entry and update delivery systems in bulk.
   2. Accuracy: Reduce manual errors by automating the data transfer.
   3. Scalability: Handle thousands of delivery tasks easily by expanding your spreadsheet and running the workflow.
   4. Flexibility: Easily customize the workflow to accommodate changes in your spreadsheet structure or delivery task logic.
   
   Use Case Example
   
   Let’s say you're a food delivery startup that receives a daily export of orders as an Excel spreadsheet. Instead of having a dispatcher manually enter each customer’s details into Onfleet, this workflow allows you to import the spreadsheet, run the automation in n8n, and have all delivery tasks created in seconds.
   
   Future Enhancements
   
   While the current setup uses a local file, you can enhance this workflow further by:
   - Replacing the Read Binary File node with a Google Sheets or Dropbox integration to pull in spreadsheets directly from the cloud.
   - Adding validation logic to ensure required fields (like phone number or postal code) are not missing.
   - Sending a Slack or email notification upon successful task creation.
   
   Conclusion
   
   Automating task creation in Onfleet using n8n and spreadsheets marks a significant leap forward for logistics and operations teams looking to scale efficiently. By adopting no-code automation tools like n8n, businesses can streamline task management workflows, reduce manual activity, and improve delivery accuracy — with minimal setup and zero coding requirements.
   
   Whether you’re a logistics coordinator, a delivery operator, or a tech-savvy operations manager, this combination of spreadsheet simplicity and API horsepower will elevate your workflow to the next level.
   
   Ready to build it yourself? Start with n8n today and take control of your logistics automation journey.
   
   — End of Article —

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.