Automate Diamond Market Data Reports
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About this role
PHP, Python, Data Processing, Web Scraping, Software Architecture, BeautifulSoup, Data Analysis, Selenium · I need reliable, automated access to a local website dedicated to the diamond industry so I can stay ahead of pricing movements, changing inventory levels, and broader market trends. The site is public but does not offer an API, so web-scraping (Python, BeautifulSoup, Selenium, or a comparable solution) will be required.
Here’s exactly what I expect: • A scraper that pulls the latest pricing information, inventory quantities, and any market-trend indicators you can extract from the pages. • Two report formats: a concise daily snapshot and a more detailed weekly overview. Both must arrive ready-to-read (CSV or Google Sheet is fine; a short PDF summary for the weekly report would be ideal). • A reusable “prompt package” that lets me drop the fresh data into ChatGPT (or any GPT-based tool) and instantly generate plain-language insights; include clear instructions so I can tweak the prompt myself later.
Key points – The scraper must run unattended on a set schedule. – Data integrity is critical: time-stamped records, graceful error handling, and a simple log of successful/failed runs. – Any third-party libraries or headless browser drivers used should be documented in a q