Automated Research Paper Summarization Workflow

This n8n workflow automates the process of fetching, extracting, and summarizing research papers from arXiv. It begins with a webhook trigger, where a user submits a paper ID. The workflow then makes an HTTP request to retrieve the paper’s HTML content from arXiv, specifically targeting the abstract and sections. The HTML content is processed to extract relevant parts, which are cleaned up by removing unnecessary links. The extracted sections are then aggregated and summarized using OpenAI’s GPT-3.5-turbo model, which generates a structured summary divided into abstract, introduction, results, and conclusion sections. Finally, the summarized content is further processed for clarity, and the complete summary is sent back as a webhook response. This workflow is particularly useful for researchers or students who want quick, AI-driven summaries of scientific papers directly integrated into their workflows, saving time on manual reading and extraction.