This article provides a complete, practical walkthrough of the Mattermost Googlesheets Automation 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:  
   Automating Daily Instagram Stats Reports with n8n, Google Sheets, and Mattermost
   
   Meta Description:  
   Discover how to automate daily Instagram performance reports by connecting Google Sheets, Mattermost, and time-based triggers using n8n workflows. Boost your social analytics with zero manual effort.
   
   Keywords:  
   n8n workflow, Instagram analytics, automation, Google Sheets, Mattermost, Instagram followers, daily reporting, social media automation, low-code tools, cron job
   
   Third-Party APIs Used:
   
   1. Google Sheets API (via OAuth2)
   2. Mattermost API
   
   Article:
   
   Automating Daily Instagram Stats Reports with n8n, Google Sheets, and Mattermost
   
   In today’s fast-paced digital landscape, staying on top of your social media performance is essential—but not necessarily something you want to do manually every morning. Enter n8n, the powerful open-source workflow automation tool that ties together multiple services with ease. In this article, we explore an n8n workflow that automates the broadcasting of Instagram statistics to a Mattermost channel, pulling live data every morning from Google Sheets.
   
   Let’s break down how it works and what the workflow achieves.
   
   📅 A Scheduled Morning Kickoff
   
   The workflow begins with a Cron node, which acts as a scheduler. It triggers the entire process every day at 8 a.m. This ensures your team gets the latest Instagram performance stats early in the day without any manual input.
   
   n8n supports multiple scheduling configurations, but in this case, the trigger is straightforward: run daily at 08:00 hours. It’s the automated equivalent of your social media manager grabbing a coffee and checking yesterday’s stats.
   
   📆 Adding Context With Date and Day
   
   Understanding data often requires context. That’s why the next step in the workflow is a function node titled “Get the date today.” This node creates two variables: the current date in ISO format and the name of the day (e.g., Lundi, Mardi, etc.) using JavaScript. These are then passed to the next node: “Date & Time.”
   
   The "Date & Time" node reformats the ISO string into a more user-friendly format (e.g., DD-MM-YYYY), which will later appear in the final daily message.
   
   📊 Reading Instagram Data from Google Sheets
   
   Many social media marketers use spreadsheets to maintain and analyze performance data. In this workflow, a Google Sheets node pulls the most recent Instagram statistics stored in a range named “cells” within a specific spreadsheet (identified by its sheetId).
   
   This node extracts key data points such as:
   
   - Nombre de Followers (Follower Count)
   - Nombre de Posts (Post Count)
   - Compte (Account Name)
   
   Using OAuth2 authentication, the node ensures secure access to the Google Sheet while automating daily data retrieval.
   
   💬 Broadcasting to Mattermost
   
   With the data in hand and the date formatted, the workflow’s final step involves sending a neatly formatted message to a designated Mattermost channel. The Mattermost node composes a message that reads like this:
   
   Bonjour ! Voici les stats de notre Instagram [AccountName] en ce beau matin du [Day] [Date]  
   Le nombre de Followers est de : [FollowerCount]  
   Nous avons réalisé : [PostCount] posts,  
   Bravo !
   
   This automated message not only informs but also motivates the team by celebrating milestones and performance.
   
   Why This Workflow Matters
   
   This setup showcases the real power of low-code automation. Without writing complex code or managing infrastructure, marketers and social media teams can:
   
   - Remove the burden of manual reporting
   - Ensure consistent morning updates
   - Centralize performance insights in team collaboration tools like Mattermost
   - Build scalable workflows with integrations that can evolve over time (e.g., pulling additional metrics, including engagement or reach)
   
   Scaling Opportunities
   
   While the current n8n workflow is robust on its own, it can easily be expanded to include:
   
   - Instagram Graph API for live data instead of Google Sheets
   - Conditional logic to flag performance anomalies
   - Scheduling insights weekly, monthly, or after campaigns
   - Integration with Slack or Microsoft Teams as an alternative to Mattermost
   
   Final Thoughts
   
   This "StatsInstagram" workflow is a practical demonstration of how business users can automate repetitive tasks without developer resources. Leveraging tools like Google Sheets, Mattermost, and n8n, you can eliminate busywork and spend more time analyzing, optimizing, and strategizing based on your Instagram performance metrics.
   
   With just a few nodes and a well-designed flow, digital teams can receive their daily performance fix before their first sip of coffee. Now that’s automation done right.
   
   Start automating, stay informed, and keep performing.

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.