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🤖 Hacker News Job Listing Scraper & Parser

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  • Delivery Time 1-3 Weeks
  • Response Time 5 Hours
  • English Level Professional

Description

Automate the extraction of job postings from Hacker News’s popular “Who is Hiring” thread. This n8n workflow scrapes, cleans, and structures job listing data into a usable format—ready 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.

🧠 How It Works:

 ✅ 🔎 Automatically fetches the latest "Who is Hiring" thread from Hacker News ✅ 🧼 Extracts and cleans relevant job post data using the HN Algolia API ✅ ✂️ Splits thread content into individual job listings ✅ 🏷 Parses key details like role, company, location, and requirements ✅ 📦 Outputs clean, structured data in JSON or custom formats ✅ 💾 Optionally exports or integrates the data with Airtable, Notion, Google Sheets, or a database

🔍 It Automates:

 ✅ Scraping the monthly "Who is Hiring" thread ✅ Isolating job listings from hundreds of raw comments ✅ Extracting critical fields like:   – 🏢 Company Name   – 🧑‍💻 Role   – 🌍 Location (Remote / On-site)   – 📋 Requirements or Tech Stack ✅ Structuring listings into machine-readable format ✅ Enabling quick export or further AI-based classification (e.g., sentiment, seniority, tags)

💡 Why Choose This Workflow:

 ✅ Saves hours of manual reading, copy-pasting, and formatting ✅ Enables programmatic access to rich job market data ✅ Provides a reliable monthly snapshot of hiring trends in tech ✅ Can be expanded with AI to match resumes, score listings, or detect trends ✅ Great for job boards, aggregators, talent acquisition teams, and researchers

👤 Who Is This For:

 ✅ Job seekers hunting for new opportunities in tech ✅ Recruiters building candidate pipelines ✅ Market analysts tracking job trend data ✅ AI builders enriching job recommendation engines ✅ Startups exploring the developer talent landscape

🔗 Integrations:

 ✅ Hacker News Algolia API (for job thread content) ✅ OpenAI or Ollama (optional, for further classification or summarization) ✅ Google Sheets / Airtable / PostgreSQL (for data storage) ✅ Slack / Telegram (for job feed alerts or insights)

📊 From Messy Thread to Machine-Readable Job Listings — Automatically

Skip the scrolling. Extract, structure, and analyze Hacker News job data with zero manual    effort.

Link : [https://lovable.dev/projects/041e59e9-1551-4564-9f00-c8c60c90a683]

About The Seller

Navin Sing...

Turning Data Into Decisions, Code Into Impact

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  • Location:

    India
  • Member since:

    July 9, 2025
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Ref #: EX-10318

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