In plain terms: this gathers information from the web for you. It collects and organises data from OpenAI on a set schedule (e.g. daily) — competitor tracking, research, monitoring — and hands you the result.
15
Nodes
2
Integrations
18
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
Daily Content Trigger· scheduleTrigger
Generate Script with ChatGPT· openAi
Extract Script Data· set
Generate Voiceover (ElevenLabs)· httpRequest
Save Audio File· writeBinaryFile
Prepare Video Data· set
Generate Video (Runway)· httpRequest
Generate AI Avatar Video (HeyGen)· httpRequest
Create Video with FFmpeg· executeCommand
Route Video Source· if
Prepare for Publishing· set
Upload to YouTube· httpRequest
Upload to TikTok· httpRequest
Final Status Report· set
💼 Business analysis
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Business use case
An automated research/monitoring workflow that gathers external data (OpenAI, HTTP / REST API), 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.