Block 1 - Set Niche
- Type / Role
- n8n-nodes-base.set - set
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- Version 3.4
This workflow acts as an autonomous Chief Solution Officer , automating the process of deep market research. Instead of simply tracking video views, it scrapes deep into YouTube data—including desc...
n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitinbatches, n8n-nodes-base.aggregate, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Wildan Adli.
Original n8n.io sourceThis workflow acts as an autonomous Chief Solution Officer, automating the process of deep market research. Instead of simply tracking video views, it scrapes deep into YouTube data—including descriptions and top 20 comments—to identify the real "Decision Confusion" and "Operational Pain Points" of your target audience.
By analyzing what competitors are missing and what their audience is actually complaining about, it generates five data-backed, strategic content ideas that focus on high-level business logic rather than generic advice.
Use cases are many:
Good to know
How it works
Setup steps
Requirements
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate YouTube content ideas with Firecrawl, OpenAI and Notion |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Market Research, AI Summarization |
| Author | Wildan Adli |
| Published | 06 Jan 2026 |
Use the JSON export at /data/workflows/12509/12509.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This workflow acts as an autonomous Chief Solution Officer , automating the process of deep market research. Instead of simply tracking video views, it scrapes deep into YouTube data—including desc...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.