I need a production-ready scraper that reliably gathers fresh job listings from Indeed, Computrabajo, BuscoJobs and Tecoloco in Costa Rica. Every week the script should run automatically and: • Collect the key fields—job title, company, location, description, salary and posting date. • Export everything to a single, well-structured CSV file that’s easy for me to load into my analytics pipeline. Stability, speed and low maintenance matter more to me than fancy dashboards. If your approach involves Python (Scrapy, Requests, BeautifulSoup, Playwright/Selenium for dynamic pages) or a Node equivalent, that’s fine; just keep it lean and resilient against the usual anti-bot roadblocks. Deliverables 1. Clean, documented source code with environment setup instructions. 2. A scheduler configuration (cron, Windows Task Scheduler, or GitHub Actions) that triggers the scrape once a week. 3. Sample CSV output showing all required columns populated. I’ll happily clarify any site-specific quirks or provide test keywords once you’re on board. If you’ve handled job boards before, especially ones that throttle or obfuscate HTML, let me know—those techniques will be invaluable here.