Automated Notion Content Summarization Workflow

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This n8n workflow automates the process of extracting, summarizing, and tagging web content or Notion database entries. The process begins with a Notion trigger that monitors a specific database for new or updated pages. When triggered, it fetches the URL from the database and makes an HTTP GET request to retrieve the webpage content.

The content is then sent to an AI agent that prompts an OpenAI model (GPT-4) to generate a concise summary and relevant tags in markdown format. A code node extracts these summaries and tags from the AI’s markdown response. Finally, the workflow updates the original Notion page with the generated summary and tags, making it easy to organize and categorize content automatically.

This automation is especially useful for managing large content repositories, generating quick overviews for new entries, or maintaining organized and tagged data in Notion with minimal manual effort.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, httpRequest, notion, notionTrigger

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