Automate Paul Graham Essay Summaries
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Effortlessly capture and summarize the latest insights from Paul Graham's influential essays. This workflow automatically fetches, extracts, and condenses his newest articles into digestible summaries, saving you valuable time.
About This Workflow
Unlock the wisdom of Paul Graham without the extensive reading time. This n8n workflow is designed to automatically fetch the latest essays from paulgraham.com, extract their content, and leverage the power of AI (OpenAI's GPT-4o mini) to generate concise summaries and titles. It intelligently scrapes the article list, focuses on the most recent three, fetches the full text of each, and then utilizes Langchain's summarization capabilities to distill the key takeaways. The output is a clean, structured dataset containing the title, a summary, and the original URL for each essay. This automation is perfect for researchers, entrepreneurs, and anyone looking to stay ahead with cutting-edge ideas in technology and startups.
Key Features
- Automated Essay Fetching: Directly pulls the latest articles from Paul Graham's website.
- Intelligent Content Extraction: Uses CSS selectors to precisely grab essay links and titles.
- AI-Powered Summarization: Leverages GPT-4o mini via Langchain for concise and accurate summaries.
- Limited to Latest Content: Focuses on the top 3 most recent essays for immediate relevance.
- Structured Data Output: Provides title, summary, and URL for easy consumption and further use.
How To Use
- Trigger: Click the "Execute Workflow" button to initiate the process.
- Fetch List: The workflow accesses
http://www.paulgraham.com/articles.htmlto get a list of available essays. - Extract Essay Links: It parses the HTML to extract the
hrefattributes of essay links. - Split & Limit: The extracted links are split into individual items, and the workflow limits processing to the first 3 most recent essays.
- Fetch Essay Content: For each of the top 3 essays, the workflow makes an HTTP request to fetch the full article text.
- Extract Title: The
titletag from each essay's HTML is extracted. - AI Summarization: The essay content is loaded into a Langchain
documentDefaultDataLoader, split usingRecursive Character Text Splitter, and then summarized by anOpenAI Chat Model(gpt-4o-mini) via aSummarization Chain. - Data Cleanup & Merging: The extracted title, generated summary, and original URL are consolidated into a structured format using
MergeandClean upnodes.
Apps Used
Workflow JSON
{
"id": "3e55a642-eff9-468c-bf65-7bdd35531695",
"name": "Automate Paul Graham Essay Summaries",
"nodes": 25,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 3e55a642-eff9...
About the Author
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Integration Guru
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