Hacker News Job Scraper with AI Analysis

This workflow automates manual job scraping from Hacker News 'Who is Hiring?' threads, replacing tedious copying from posts to spreadsheets. It fetches monthly threads, extracts job details using AI, and stores structured data in Airtable, cutting processing time from hours to minutes per thread. Small recruiting teams or solo recruiters tracking 20+ job posts monthly benefit most. The Cron node triggers monthly at 9 AM, the HTTP Request node fetches posts via Algolia API, the Code node cleans job text, the LangChain node with GPT-4o-mini extracts structured data (company, title, location), and the Airtable node saves results, streamlining recruitment pipelines. The workflow saves ~4 hours monthly by automating 20+ job post extractions. Ideal for small recruitment teams or individual recruiters, it requires n8n, OpenAI (~$0.02/1k tokens), and Airtable (free tier sufficient). Scalability is limited by Algolia API quotas; basic technical skills are needed. Install n8n from n8n.io or use cloud.n8n.io. Obtain OpenAI API key from platform.openai.com and Airtable API key from airtable.com/account. Configure Cron node for monthly execution and Airtable node with base/table IDs. Ensure HTTP Request node targets Algolia’s Hacker News API. Test manually via n8n’s trigger. Activate workflow in n8n. Monitor for errors like API timeouts or invalid JSON in logs. Optimize by limiting job posts to 20 per thread and rotating API keys quarterly for security.", "businessValue": "Saves 4 hours/month automating 20+ Hacker News job post extractions", "setupTime": "30-45 minutes", "difficulty": "Beginner", "requirements": [ "n8n (free/community or cloud), OpenAI, Airtable", "OpenAI API key, Airtable API key", "Stable internet, modern browser, no coding required" ], "useCase": "Automating job post scraping for small recruitment teams or solo recruiters"