This n8n workflow automates the process of retrieving, extracting, and summarizing the latest essays by Paul Graham from his website. It starts with a manual trigger, fetches the list of essay links from the homepage, extracts individual essay URLs, then fetches each essay’s content. The workflow extracts the title and main text from each essay, limits the process to the first three essays for efficiency, and sends the texts through OpenAI’s GPT-4 model for summarization. The summarized insights can be used for quick understanding or further content analysis, making this workflow ideal for researchers, writers, and enthusiasts interested in concise summaries of long-form web content.
Automated Summarization of Paul Graham Essays
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, html, httpRequest, limit, manualTrigger, merge, set, splitOut, stickyNote |
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