In plain terms: this gathers information from the web for you. It collects and organises data from Airtable on a set schedule (e.g. daily) — competitor tracking, research, monitoring — and hands you the result.
16
Nodes
2
Integrations
15
Connections
Schedule, Manual
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
Schedule Trigger· scheduleTrigger
rapid page details· httpRequest
When clicking ‘Execute workflow’· manualTrigger
scrape FB ads· httpRequest
Search records· airtable
get URI + deDup· code
If· if
Loop· splitInBatches
Iterate· splitInBatches
Create a record· airtable
Page Scraper $· httpRequest
Page Scraper $4· httpRequest
upsert· airtable
upsert1· airtable
💼 Business analysis
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Business use case
An automated research/monitoring workflow that gathers external data (HTTP / REST API, Airtable), 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.