Block 1 - Schedule Trigger - Bi-Weekly COE Scraping
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Introduction Automates Singapore COE price tracking with AI forecasts and buy/wait recommendations. Weekly scraping collects LTA data, enriches with economic indicators, predicts 6 month trends, an...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.emailsend, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceAutomates Singapore COE price tracking with AI forecasts and buy/wait recommendations. Weekly scraping collects LTA data, enriches with economic indicators, predicts 6-month trends, and alerts users via Telegram/email—helping car buyers and fleet managers make data-driven purchase decisions while avoiding manual tracking.
Weekly trigger scrapes LTA COE → validates → stores in Google Sheets → calculates indicators → AI forecasts trends → multi-scenario analysis → generates buy/wait signals → sends actionable alerts.
Schedule Trigger → Scrape COE → Validate → Store Sheets → Fetch Historical → Calculate Indicators → AI Prediction → Merge Economics → Multi-Scenario Analysis → Compare Conditions → Generate Dashboard → Send Alerts
OpenAI/NVIDIA API key, Google Sheets access, Telegram bot token or Gmail, basic COE category understanding
First-time buyers timing purchases, fleet operators coordinating bulk acquisitions
Add SMS alerts via Twilio, integrate loan calculators for total cost analysis
Saves 5+ hours monthly, captures 10–18% price dips, provides predictive insights (potential $10K–$25K savings)
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 44 workflow blocks. Download the JSON for the full node graph.
| Workflow | Track Singapore COE prices with AI forecasting & smart buy recommendations via Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 44 |
| Categories | Market Research, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 08 Nov 2025 |
Use the JSON export at /data/workflows/10625/10625.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Introduction Automates Singapore COE price tracking with AI forecasts and buy/wait recommendations. Weekly scraping collects LTA data, enriches with economic indicators, predicts 6 month trends, an...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.