Automated Hacker News Hiring Post Extractor

This n8n workflow automates the process of scraping ‘Ask HN: Who is hiring?’ posts from Hacker News, extracting detailed job listing data, structuring it with AI, and saving the information into Airtable. Starting with a manual trigger, the workflow guides the user to search for relevant posts via Algolia, fetches recent posts from Hacker News, and drills down into individual job posts and comments using the official Hacker News API. The text content of each post and comment is cleaned with custom code, then processed by OpenAI’s GPT-4 to extract structured data such as company, job title, location, employment type, salary, description, application URL, and company URL. The structured data is finally stored in Airtable for easy review and management. This workflow is ideal for recruiting teams, content curators, or data analysts monitoring and aggregating hiring trends on Hacker News, automating a typically manual data collection and structuring process.