🚀 Just built my new Python automation project: Greenhouse Job Scraper

This tool automates the process of extracting job listings from multiple Greenhouse job boards, making job data collection faster, cleaner, and more scalable.

What it does:

✅ Scrapes jobs from multiple companies ✅ Validates company slugs before scraping ✅ Supports remote-only filtering ✅ Handles request retries and failures ✅ Removes duplicate entries efficiently ✅ Exports structured datasets into JSON and CSV

Extracted fields:

• Job title • Company name • Location • Published date • Updated date • Application deadline • Direct application URL

Tech Stack:

🐍 Python 🌐 Requests 📦 JSON / CSV ⚙️ REST API Integration 🖥️ CLI Interface

This project helped me deepen my understanding of:

API-based scraping

Data pipeline structuring

Error handling and retries

Efficient deduplication strategies

Building production-style CLI tools

A solid step forward in my journey through automation, backend engineering, and data extraction systems.

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