Scrape Paul Graham essays with AI summaries using n8n a

This workflow enables fast extraction of key ideas from Paul Graham’s essays without reading full texts. It starts manually, scrapes the latest three essays from paulgraham.com, processes them using LangChain and GPT-4o-mini, and outputs structured summaries with titles, URLs, and condensed content.

## Who it´s for
- Developers following Paul Graham’s essays
- Startup investors seeking quick insights
- Analysts processing long-form text
- Content creators studying writing style
- Product managers interested in startup thinking fundamentals

## What the automation does
- Triggered manually by user action
- Scrapes essay list from paulgraham.com
- Fetches full text of first three essays
- Splits content into chunks using Recursive Text Splitter
- Summarizes each chunk via GPT-4o-mini through LangChain
- Aggregates results into clean summaries with title and link

## What´s included
- Ready-to-use n8n workflow
- Logic for execute_workflow_trigger handling
- Integrations with HTTP Request (paulgraham.com), OpenAI API, and HTML scraper
- Basic setup and adaptation guide

## Requirements for setup
- n8n instance with workflow execution access
- OpenAI API key
- Internet access to scrape paulgraham.com
- Configured n8n nodes for HTTP requests and HTML parsing

## Benefits and outcomes
- Saves time on reading lengthy essays
- Enables rapid insight extraction from new articles
- Supports systematic analysis of Paul Graham’s thinking
- Assists in preparing research or presentation materials
- Automates repetitive text processing tasks

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.