I’m looking for a reliable way to pull rich product information from a single online platform. The focus is strictly on product details, and I need everything bundled so that I can reuse or extend the code later without hassle. Here’s what I expect the scraper to capture for every item it encounters: product name, full description, all available images, and the specifications shown on the page. Accuracy is critical; the data must mirror exactly what the site displays at the time of scraping. I’m comfortable with Python-based solutions that rely on requests, BeautifulSoup, Selenium, Scrapy, or an equivalent stack, provided the final script is well-commented and easy to schedule. Feel free to suggest a different language or library if it offers a clear advantage for this task. Deliverables • A fully functional script (and any helper modules) that logs in or navigates as needed and reliably extracts the fields above • Structured output—CSV or JSON for text data, images saved locally in a logical folder hierarchy • A concise README explaining setup, usage, required dependencies, and where to adjust parameters such as URLs or pagination limits I will run the scraper against a shortlist of pages to confirm it collects all requested fields without errors or missing images before releasing final acceptance.