Description
Automate the extraction of job postings from Hacker Newsβs popular βWho is Hiringβ thread. This n8n workflow scrapes, cleans, and structures job listing data into a usable formatβready for analysis, dashboards, or recruitment pipelines.
Perfect for recruiters, job seekers, analysts, or platforms that want structured access to tech job data from HN without manual scraping.
π§ How It Works:
Β β π Automatically fetches the latest "Who is Hiring" thread from Hacker News β π§Ό Extracts and cleans relevant job post data using the HN Algolia API β βοΈ Splits thread content into individual job listings β π· Parses key details like role, company, location, and requirements β π¦ Outputs clean, structured data in JSON or custom formats β πΎ Optionally exports or integrates the data with Airtable, Notion, Google Sheets, or a database
π It Automates:
Β β Scraping the monthly "Who is Hiring" thread β Isolating job listings from hundreds of raw comments β Extracting critical fields like: βββ π’ Company Name βββ π§βπ» Role βββ π Location (Remote / On-site) βββ π Requirements or Tech Stack β Structuring listings into machine-readable format β Enabling quick export or further AI-based classification (e.g., sentiment, seniority, tags)
π‘ Why Choose This Workflow:
Β β Saves hours of manual reading, copy-pasting, and formatting β Enables programmatic access to rich job market data β Provides a reliable monthly snapshot of hiring trends in tech β Can be expanded with AI to match resumes, score listings, or detect trends β Great for job boards, aggregators, talent acquisition teams, and researchers
π€ Who Is This For:
Β β Job seekers hunting for new opportunities in tech β Recruiters building candidate pipelines β Market analysts tracking job trend data β AI builders enriching job recommendation engines β Startups exploring the developer talent landscape
π Integrations:
Β β Hacker News Algolia API (for job thread content) β OpenAI or Ollama (optional, for further classification or summarization) β Google Sheets / Airtable / PostgreSQL (for data storage) β Slack / Telegram (for job feed alerts or insights)
π From Messy Thread to Machine-Readable Job Listings β Automatically
Skip the scrolling. Extract, structure, and analyze Hacker News job data with zero manualΒ Β effort.
Link : [https://lovable.dev/projects/041e59e9-1551-4564-9f00-c8c60c90a683]













