I’m looking for a reliable web-scraping expert to pull product information from several e-commerce sites. The focus is on specific details and caselaws associated with each item, so accuracy and clean structuring matter. Scope of work • Build or configure a scraper that navigates target e-commerce pages and extracts the required fields. • Capture the specific details and caselaws exactly as they appear on the site, along with any related product identifiers for easy cross-reference. • Deliver the data in a tidy CSV or JSON file and include the reusable script (Python, Node, or your preferred language) plus brief run instructions. • Respect site policies, handle pagination, and avoid IP blocks through polite request timing or proxy rotation. Acceptance criteria • All listed URLs are scraped without missing records. • Each row contains: product name, key details, linked caselaw text or citation, page URL, date of capture, and any additional metadata you spot that improves traceability. • No duplicate entries and all text is UTF-8 encoded. A medium scope budget is set aside, so I’m expecting a solid, tested solution rather than a quick one-off scrape. If you’ve previously handled e-commerce data extraction or legal reference gathering, mention it and share a small sample or repo link. Looking forward to working together.