Automated Hacker News Scraping with AI Formatting and Pinecone Storage

Developers, researchers, or AI enthusiasts who need structured HN data for apps or analysis. Scrapes Hacker News, formats raw data into JSON and markdown using AI, then embeds and stores it in Pinecone for vector search. Add credentials for Brightdata, Google Gemini, and Pinecone in n8n. Set target URL and webhook in the Set node. Test via manual trigger. n8n with Langchain nodes; API keys for Brightdata (scraping), Google Gemini (AI), Pinecone (vector DB). Change URL for other sites; update JSON schema for different data fields; switch AI models or vector stores. Key Technologies: n8n,Brightdata (web scraping),Google Gemini (LLM and embeddings),Pinecone (vector database),Langchain (AI chains and agents) Automation Value: Automates manual web scraping to save hours of data collection. Uses AI to structure and format messy web data accurately. Enables fast semantic search on HN archives via vector embeddings, powering RAG applications. Best Practices: Use structured prompts and parsers for reliable AI outputs. Centralize credentials and configs in Set nodes for maintainability. Split texts before embedding to handle token limits and improve accuracy. Test web scraping endpoints to ensure compliance and reliability. Add error handling nodes for reliable production use.