A 30-step web scraping & research automation, triggered by schedule, connecting HTTP / REST API, OpenRouter (LLM), Google Sheets, with built-in AI reasoning.
In plain terms: this gathers information from the web for you. It collects and organises data from OpenRouter (LLM), Google Sheets on a set schedule (e.g. daily) — competitor tracking, research, monitoring — and hands you the result.
30
Nodes
3
Integrations
30
Connections
Schedule
Trigger
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The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.
⚙️ How it works
OpenRouter Chat Model· lmChatOpenRouter
HTTP Request· httpRequestTool
Structured Output Parser· outputParserStructured
Schedule Trigger· scheduleTrigger
Schedule Trigger1· scheduleTrigger
URL_search· httpRequestTool
Think· toolThink
OpenRouter· lmChatOpenRouter
OpenRouter Chat Model1· lmChatOpenRouter
Structured Output Parser1· outputParserStructured
AI Agent· agent
Get row(s) in sheet· googleSheets
Get row(s) in sheet1· googleSheets
Competitor Analyst· agent
💼 Business analysis
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Business use case
An automated research/monitoring workflow that gathers external data (HTTP / REST API, OpenRouter (LLM), Google Sheets), structures it, and delivers insight on a schedule — competitor tracking, market monitoring, data collection.
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Market need
Timely external data (competitors, prices, trends) drives decisions, but collecting it by hand is impractical. Automated research is a durable need.
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Market value
Data/monitoring subscriptions run $50–$500/mo; the collection engine is the defensible core.