Jim G.

I build web scrapers that deliver clean, ready-to-use data — not code you have to figure out. Product pricing across marketplaces, review data, directory listings, faculty records — I turn messy public web data into structured Excel, CSV, or Google Sheets you can actually use. You tell me what data you need and the format you want it in; I handle everything in between. I specialize in scraping sites that fight back: Cloudflare and bot protection, heavy pagination, JavaScript-rendered content, and rate limiting. My stack is Apify (Crawlee + Playwright) with residential proxy rotation, plus direct API/GraphQL extraction when a site allows the faster path. I also handle the part most scrapers skip — cleaning, deduplicating, and fuzzy-matching records so what you get is usable, not raw noise. Recent work: • Large-scale trading-card marketplace scraping across six games — full seller-level pricing and sales data, delivered as a multi-tab Excel workbook • Matched ~15,000 faculty records against a public review database, with accuracy flagging for ambiguous matches and a clean handoff of uncertain records for manual review What working with me looks like: • Clean, structured output in your format (xlsx, CSV, JSON, or straight into Google Sheets) • Reliable handling of anti-bot protection, proxy rotation, and large paginated jobs • Honest scoping up front — if a site is hard, or there's a cheaper way to get you the data, I'll tell you I'm glad to start with a small paid test run so you can see the data quality before committing to a larger job.