Extract and Structure Hacker News Job Posts with Gemini AI and Save to Airtable

Workflow Overview This workflow automatically fetches the latest "Ask HN: Who is hiring?" posts from Hacker News, extracts individual job listings, cleans the raw text, converts them into structured job listings using Google Gemini AI, and saves them into Airtable. Components It’s a full end-to-end automation system combining: Algolia API for HN data Text cleaning Gemini AI (via LangChain) for parsing job descriptions Structured JSON extraction Airtable integration to store the final data 🎯 Use Cases Automatically build a job board from HN posts Track startup hiring trends Feed remote job alerts into a CRM or Slack Enrich a hiring intelligence database 🔧 Nodes & Services Used HTTP Request

Help me set up the n8n workflow "Extract and Structure Hacker News Job Posts with Gemini AI and Save to Airtable" (https://n8n.io/workflows/4278). It uses: Airtable, HTTP Request, Code, Basic LLM Chain, Structured Output Parser, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.