This article provides a complete, practical walkthrough of the Readbinaryfiles Filter Import Triggered 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

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 CSV Data Imports to Google Sheets with n8n: A Step-by-Step Workflow
   
   Meta Description:  
   Learn how to automate the import of multiple CSV files into Google Sheets using n8n. This step-by-step low-code workflow streamlines data handling, removes duplicates, filters subscribers, and sorts entries automatically.
   
   Keywords:  
   n8n workflow, n8n automation, CSV to Google Sheets, Google Sheets import, remove duplicates n8n, automate data imports, low-code automation, n8n Google integration, subscriber filtering, spreadsheet automation
   
   Third-Party APIs Used:  
   - Google Sheets API via OAuth2
   
   —
   
   ARTICLE:
   
   Automating CSV Imports to Google Sheets with n8n
   
   In today’s fast-paced digital environment, automating repetitive tasks can dramatically improve productivity and accuracy. One common use case is importing CSV data from multiple files into a central Google Sheet to keep subscriber lists or other records updated. While manual imports are tedious and error-prone, tools like n8n (a powerful low-code automation platform) simplify the process significantly.
   
   In this guide, we’ll walk through an n8n workflow designed to import multiple CSV files into Google Sheets. The workflow not only reads and processes multiple files but also removes duplicates, filters for valid subscribers, and organizes data in chronological order—all without manual intervention.
   
   Let’s break down how this automation works and why it’s such a powerful addition to your toolset.
   
   1. Workflow Overview
   
   This n8n workflow titled “Import multiple CSV to GoogleSheet” performs several automated steps:
   
   - Triggered manually (or can be scheduled or run via webhook).
   - Reads all CSV files from a local folder.
   - Processes each CSV file one at a time.
   - Parses and cleans the data (removes duplicates based on user_name).
   - Filters to include only subscribed users.
   - Sorts the subscribers by subscription date.
   - Appends or updates the data into a designated Google Sheets document.
   
   This workflow eliminates the need for any spreadsheet software or scripting knowledge, making it ideal for marketers, data analysts, and small teams.
   
   2. Step-by-Step Breakdown
   
   Below is a detailed description of each node and what role it plays in the workflow:
   
   ➤ Manual Trigger  
   Node: When clicking "Execute Workflow"  
   This serves as the starting point of the workflow. Once executed, all the subsequent steps follow in sequence. This can be modified to run on a schedule or by an incoming webhook.
   
   ➤ Read Binary Files  
   Node: Read Binary Files  
   This node reads all .csv files stored in the “.n8n” directory. Files matching the pattern “*.csv” are gathered as binary data for further processing.
   
   ➤ Split in Batches  
   Node: Split In Batches  
   To ensure that each CSV file is processed independently, this node splits the binary files into batches of one file at a time.
   
   ➤ Read CSV  
   Node: Read CSV  
   Each CSV file is parsed into structured JSON using this node. Parameters ensure the inclusion of headers and correct string parsing.
   
   ➤ Assign Source File Name  
   Node: Assign source file name  
   This node adds a “Source” field to each entry, containing the name of the file it came from—useful for auditing or tracing data lineage.
   
   ➤ Remove Duplicates  
   Node: Remove duplicates  
   To ensure clean data, the workflow removes duplicate entries based on the "user_name" field.
   
   ➤ Keep Only Subscribers  
   Node: Keep only subscribers  
   This filter only allows records where the “subscribed” field is "TRUE". This ensures inactive or unsubscribed users are not imported into the final sheet.
   
   ➤ Sort by Date  
   Node: Sort by date  
   The valid subscriber list is sorted chronologically using the "date_subscribed" field, which can be helpful in analytics or campaign planning.
   
   ➤ Upload to Spreadsheet  
   Node: Google Sheets  
   Finally, the clean and sorted data is uploaded to a specific Google Sheet via the Google Sheets API. The operation performed is “appendOrUpdate”, which keeps the sheet dynamic and avoids duplication when the same file is later re-imported.
   
   3. Benefits of this Automation
   
   - 💡 Accuracy: Filters out unsubscribed users and duplicates.
   - ⏱️ Time-saving: No more manual imports, sorting, or deduplication.
   - 🔄 Scalable: Easily extendable to process hundreds of CSV files.
   - 🌍 Accessible: Connects seamlessly with Google Sheets which is widely used in teams.
   - 🧰 Low-Code: Designed with visual nodes, no coding necessary.
   
   4. Prerequisites & Configuration
   
   To use this workflow, you need:
   - An n8n instance set up (self-hosted or cloud-based).
   - A folder with CSV files you want to import.
   - Google Sheets API credentials configured in n8n, using OAuth2 for secure access.
   
   You can customize the file path, CSV structure, and Google Sheet destination to suit your needs.
   
   5. Use Cases
   
   This workflow is versatile and can be adapted for:
   - Email subscriber list consolidation.
   - Importing sales or transaction data into reporting dashboards.
   - Compiling survey or form responses from various sources.
   - Merging employee or student records from field offices.
   
   Conclusion
   
   Whether you're managing newsletter subscribers or consolidating CSV exports from multiple sources, automation can transform tedious manual imports into a smooth, reliable process. This n8n workflow harnesses the simplicity of drag-and-drop automation combined with the power of Google Sheets to streamline your operations.
   
   Integrate it into your workspace today and say goodbye to copy-paste chaos.
   
   —
   
   Need help deploying this workflow? The n8n community and documentation are great starting points—or reach out to automation experts to tailor the process to your unique needs.

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.