Automated Deep Research Workflow for In-Depth Web Analysis

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This n8n workflow is designed to automate comprehensive web-based research and content summarization, ideal for in-depth analysis on complex topics. Starting from a user input form, the workflow triggers a recursive process that generates targeted SERP queries, performs web scraping via Apify, and gathers content for detailed analysis. The gathered data is processed through natural language models like OpenAI and Google Gemini for generating insights, clarifying questions, and final detailed reports. Results are then compiled, formatted into Notion blocks, and stored in a designated Notion database, providing an efficient solution for research-intensive tasks. Practical use cases include research firms, content creators, and data analysts seeking automated, quality-driven research summaries and reports.

Node Count

>20 Nodes

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, switch

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