Templates / Send daily Malaysian weather alerts with Perplexity AI, Firecrawl and Telegram

Send daily Malaysian weather alerts with Perplexity AI, Firecrawl and Telegram

Ready for 3.0

by Wan Dinie ✓ · 104 views · created 2025-12-28 · Miscellaneous

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 14 nodes and runs on a schedule (every day at 09:00). Along the way it connects Telegram, OpenAI and OpenRouter Chat Model. It also calls api.data.gov.my and api.firecrawl.dev over HTTP.

How it runs

Trigger: On a schedule (every day at 09:00).

  1. Get Weather Warnings (HTTP Request): calls api.data.gov.my
  2. Separate Search Query, Warning Type and other information (Code): runs custom JavaScript code
  3. Combine Search and Location information (Aggregate): combines items into one
  4. AI Agent: runs an AI agent, with model: Perplexity Sonar Pro Model
  5. Clean the URLs (Code): runs custom JavaScript code
  6. Loop URL One by One (Loop Over Items (Split in Batches)): loops over the items in batches
  7. Combine the Summary and Sources (Aggregate): combines items into one
  8. Scrape Website with Firecrawl (HTTP Request): calls api.firecrawl.dev (POST)
  9. Make a summary (OpenAI): uses OpenAI
  10. Send to Telegram (Telegram): uses Telegram

…plus 1 more step. See the full node list below.

Services it uses

TelegramOpenAIOpenRouter Chat Model

HTTP calls to: api.data.gov.my, api.firecrawl.dev

Uses Firecrawl. New users get 10% off with our link.

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (11)

From the author

Automated Malaysian Weather Alerts with Perplexity AI, Firecrawl and Telegram This n8n template automates daily weather monitoring by fetching official government warnings and searching for related news coverage, then delivering comprehensive reports directly…

Excerpt from Wan Dinie's description on n8n.io.

View the original on n8n.io → Check your own copy

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