This comprehensive n8n workflow enables automated deep research using AI, web scraping, and Notion integration. It starts with user input via a form, then recursively generates web queries, scrapes content using Apify, and processes data through AI language models to compile detailed research reports. The process includes multiple layers of content analysis, question generation, and report formatting, all working asynchronously and recursively to deliver a high-quality, multi-page research report directly into Notion. Ideal for researchers, analysts, and content creators looking to streamline large-scale research tasks efficiently.
Automated Deep Research Workflow with n8n and Notion
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, executeWorkflow, executeWorkflowTrigger, executionData, filter, form, formTrigger, httpRequest, if, markdown, merge, noOp, notion, set, splitInBatches, splitOut, stickyNote, stopAndError, switch |
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