Outputparserstructured Workflow

## n8n DeepResearcher
### This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.

Though the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at!

### How it works
* A form is used to first capture the user's research query and how deep they'd like the researcher to go.
* Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work.
* The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings.
* Once complete, all learnings are combined and given to a reasoning LLM to generate the final report.
* The report is then written to the placeholder Notion page created earlier. 

### How to use
* Duplicate this Notion database to use with this template: {{ $env.WEBHOOK_URL }}
* Sign-up for [APIFY.com]({{ $env.API_BASE_URL }} API Key for web search and scraping services.
* Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series.
* You must publish this workflow and ensure the form url is publically accessible.

### On Depth & Breadth Configuration
For more detailed reports, increase depth and breadth but be warned the workflow will take a exponentially more time and money to complete. The defaults are usually good enough.

Depth=1 & Breadth=2 - will take about 5 - 10mins.
Depth=1 & Breadth=3 - will take about 15 - 20mins.
Dpeth=3 & Breadth=5 - will take about 2+ hours!

### Need Help?
Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}

Happy Hacking!