šŸ”Ž Data & StorageSimple

02 - Competitor Scraper

Retrieves competitor data from a Supabase database and processes it using a specified workflow.

⬇ Download workflow JSON
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What this does for your business

This automation helps businesses gather and analyze data about their competitors stored in a Supabase database. By automating this process, you save time and ensure you have the latest insights to inform your strategy.

9
Nodes
2
Integrations
8
Connections
Schedule
Trigger

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šŸ—ļø Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

ā–¶Schedule TriggerscheduleTrigger⚔Get Active Competitorssupabase🌐Get Channel Uploads P…httpRequest•Extract Playlist IDcode•Channel Found?if🌐Get Latest VideoshttpRequest•Split Video ItemssplitOut•Map Video IDcode•Process in WF1executeWorkflow

āš™ļø How it works

  1. Schedule Trigger Ā· scheduleTrigger
  2. Get Active Competitors Ā· supabase
  3. Get Channel Uploads Playlist Ā· httpRequest
  4. Extract Playlist ID Ā· code
  5. Channel Found? Ā· if
  6. Get Latest Videos Ā· httpRequest
  7. Split Video Items Ā· splitOut
  8. Map Video ID Ā· code
  9. Process in WF1 Ā· executeWorkflow

šŸ’¼ Business analysis

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Business use case

An automated research/monitoring workflow that gathers external data (Supabase, 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.

🧩 Integrations & stack

⚔Supabase🌐HTTP / REST API
Node typesscheduleTrigger, supabase, httpRequest, code, if, splitOut, executeWorkflowWorkflow IDVP7qapV5PcwJwoyV
⬇ Download workflow JSON ← Back to library