This article provides a complete, practical walkthrough of the Wait Schedule Monitor 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 Your PG&E Daily Energy Cost Reports with n8n and Airtop
   
   Meta Description:  
   Learn how to automate your daily PG&E energy cost tracking using a custom n8n workflow powered by Airtop web automation. This no-code solution sends you formatted daily cost reports straight to your inbox.
   
   Keywords:  
   n8n workflow, PG&E energy tracking, energy cost automation, Airtop automation, web scraping, PG&E automation, daily energy reports, no-code automation, Gmail automation, energy usage email, PG&E email alerts
   
   Third-Party APIs and Services Used:
   
   - PG&E Web Portal (https://www.pge.com/)
   - Airtop (Browser automation inside n8n)
   - Gmail (via n8n Gmail node for sending emails)
   
   ---
   
   Article:
   
   Automating Your PG&E Daily Energy Cost Reports with n8n and Airtop
   
   For those who want a clearer picture of their daily energy expenditures—but don’t have the time to log in and check each morning—this n8n workflow provides an elegant automation that extracts daily energy costs from your PG&E account and emails them to you in a clean, easy-to-read HTML format. Designed using Airtop (a browser automation tool), this workflow seamlessly navigates the PG&E website, scrapes your cost data, and sends it to your inbox daily at 8 AM.
   
   Let’s break down how this process works and what makes it useful for homeowners, landlords, energy-conscious users, or anyone monitoring PG&E utility usage.
   
   The Problem: Manual Monitoring of PG&E Cost Data  
   PG&E offers detailed usage information, but it's trapped behind a login page and a web interface. Manually checking each day is tedious, time-consuming, and not feasible for automation enthusiasts or data-driven individuals. That’s where this n8n workflow shines.
   
   The Workflow Breakdown
   
   Here’s how the n8n automation is configured from start to finish:
   
   1. Scheduled Trigger  
   The workflow is triggered daily at 8:00 AM using n8n’s Schedule Trigger node. This ensures the report is collected at a consistent time every day, aligning with PG&E’s data upload schedule.
   
   2. Credential Injection  
   Using a Variables node, PG&E username, password, and the recipient email are securely stored (Note: the actual values are to be provided by the user when setting up the flow). These are injected dynamically using expressions throughout the workflow.
   
   3. Browser Automation with Airtop  
   The smart web navigation is handled via Airtop. Here’s how it operates:
   
      - A new headless browser session is initiated and directed to PG&E’s mobile portal (https://m.pge.com/), as it’s often more predictable and better structured for automation.
      - Username and password are typed into the login fields.
      - After waiting for any modals or popups to close, the automation navigates through the PG&E dashboard:
        - It accesses the "Energy Usage Details" section.
        - Then it drills into the "Energy Costs" and "Electricity and Gas" sub-pages.
   
   4. Data Extraction with Prompt-Driven AI  
   Airtop then uses a structured prompt to extract and format the cost information. This automated prompt is tailored to retrieve:
   
      - Date
      - Total Combined Costs
      - Natural Gas Costs
      - Electricity Costs
   
   If natural gas or total combined costs are missing, the automation gracefully adjusts to show only available data.
   
   The result is a clean, professional HTML report listing the most recent entries first—perfect for a morning review or for integration into larger energy tracking strategies.
   
   5. Gmail Node: Delivering the Report  
   The extracted content is sent via the Gmail node. The subject line is set as “Daily energy costs report,” and the email body incorporates the extracted cost report in HTML format. This results in a visually clean and structured message that’s easy to skim or archive.
   
   6. Session Cleanup  
   After the email is sent, the workflow ends the Airtop session, closing the browser to free up resources and maintain security.
   
   Why It Matters: A Smarter Way to Stay Informed  
   This automation is perfect for those who want to understand their energy footprint without manual tracking. Here are just a few use cases:
   
   - Homeowners tracking usage trends
   - Renters cross-checking utility bills
   - Property managers overseeing multiple metered units
   - Data nerds integrating daily energy use into dashboards
   - Sustainability enthusiasts measuring daily impact
   
   No-Code Power with n8n  
   One of the most attractive features of this setup is its no-code nature. Users can copy, customize, and deploy this template without writing any code—yet it accomplishes what custom scripts or scraping tools could take days to fine-tune.
   
   Final Thoughts  
   The PG&E Daily Cost Tracker built using n8n and Airtop is more than just a clever script—it’s a productivity booster, accountability tool, and energy monitor rolled into one. If you’re already using n8n, importing this workflow and adding your credentials is a quick path to more intelligent, automated energy reporting.
   
   Start your mornings with clarity, not clicking.
   
   ---
   
   Interested in using this workflow? Make sure to insert your PG&E login credentials and recipient email in the "Variables" node, and connect your Gmail account to n8n with the required permissions.
   
   With a daily update just a click away, your energy usage has never been easier to manage.

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.