This article provides a complete, practical walkthrough of the Splitout Code Import 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

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:
   Automate Your Linear Ticket Reporting to Google Sheets Using n8n
   
   Meta Description:
   Learn how to use n8n to fetch your team’s tickets from Linear and automatically sync them to Google Sheets daily. This workflow supports pagination, sets custom ticket fields, and runs without manual updates.
   
   Keywords:
   n8n workflow, Linear API, Google Sheets automation, ticket reporting, no-code workflow, GraphQL integration, task automation, productivity, engineering team dashboard, daily report automation
   
   Third-Party APIs Used:
   
   1. Linear API (https://api.linear.app/graphql)
   2. Google Sheets API
   
   Article:
   
   Easily Automate Linear Ticket Reporting to Google Sheets with n8n
   
   Managing your team’s workload is essential for continuous delivery, transparency, and productivity. If you use Linear to track engineering tasks and Google Sheets for reporting or team dashboards, what if there was a way to automatically fetch all your team's tickets and sync them into a spreadsheet each morning?
   
   With n8n—a powerful, extendable open-source workflow automation tool—you can connect Linear to Google Sheets without writing any code. In this article, we'll walk through a fully automated workflow that fetches your tickets from Linear every morning, processes them (including pagination), and appends or updates them in a Google Sheet for monitoring, filtering, or team review.
   
   🔧 Overview of the Workflow
   
   This n8n workflow is scheduled to run every day at 9:00 AM. It fetches all issues belonging to a specific Linear team, handles pagination if there are more than 100 tickets, standardizes ticket information, adds custom labeling, and writes the results into a Google Sheets document.
   
   Here’s a detailed breakdown:
   
   1. ⏰ Schedule Trigger
   The workflow begins with a Schedule Trigger node ("Every day at 06:00"). While named 06:00, it’s configured to run at 9:00 AM. This ensures a daily refresh of ticket data after developers have completed some early work.
   
   2. 📡 Fetching Tickets from Linear
   A GraphQL node queries the Linear API and obtains up to 100 issues from a specific team (in this case, the team is named "Adore"). You must modify this filter to match your own team name.
   
   Query highlights:
   - It fetches key fields like identifier, title, state, estimate, and labels.
   - It retrieves pagination metadata via pageInfo so the system can check if more pages exist.
   
   3. 🔄 Handling Pagination
   Linear returns a maximum of 100 tickets per response, so the workflow intelligently checks if there are additional pages (“hasNextPage”). If true, it retrieves the “endCursor” value and uses it as the starting point for the next page.
   
   This loop continues until all tickets are collected. Each page flows through the same logic using the "if has next page", "Get end cursor", and "Get next page" nodes.
   
   4. ✂️ Splitting and Processing Tickets
   Once tickets are received, each issue is processed individually:
   - The Split Out node separates the collection of tickets into individual items.
   - Custom fields are added: if no estimate exists, one is added by default, and labels are converted into a string for easy display.
   - A JavaScript-based code node flattens complex nested JSON objects into a simple format suitable for spreadsheets.
   
   5. 📄 Writing to Google Sheets
   The final node, "Write tickets to Sheets", sends the formatted and enriched ticket data into a designated Google Sheet (in this example, a spreadsheet named “Adore tickets,” in a tab called "Sheet2").
   Using the appendOrUpdate operation, this step ensures that tickets remain up-to-date, even if previously added.
   
   🧠 Features You Get With This Workflow
   
   - Full automation: Every morning, this process runs on its own.
   - Pagination support: You’ll always get a complete view—even if you exceed 100 issues.
   - Custom fields: Your data includes labels, estimates, state, cycle, and more.
   - Easy export: Google Sheets makes visualization and sharing easy for less technical stakeholders.
   - No-code setup: Everything is handled through n8n’s visual workflow editor.
   
   🔧 Setup Guide:
   
   To personalize this for your team, follow these steps:
   
   1. Add your Linear API key via the header authentication method in n8n.
   2. Connect your Google Sheets account using OAuth2.
   3. Update the team name in each GraphQL node from “Adore” to match your team.
   4. Choose your target Google Spreadsheet and Sheet (ensure you have at least an "id" column—mapping is automatic).
   5. Adjust field customization (e.g., add default estimates or labels).
   6. Activate the workflow and let it run automatically every day.
   
   📝 Final Thoughts
   
   With just a few nodes in n8n, you can eliminate manual effort, ensure reporting consistency, and enable your team to make data-driven decisions. Whether you're reviewing in standups, tracking sprint progress, or syncing tasks across platforms, this workflow bridges the gap between Linear and Google Sheets seamlessly.
   
   Start leveraging the power of automation today and use n8n to make your engineering reporting smarter, not harder.
   
   —
   
   Need more inspiration? Customize this workflow to add Slack notifications, email summaries, or even integrate with JIRA or Notion. The possibilities with n8n are nearly endless.
   
   Happy automating! 🚀

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.