I will scrape ecommerce product data and competitor prices

Product catalogs scraped clean, from 50 SKUs to 35,000. Free sample

of one full category before you order.

I build custom scrapers in Python (Scrapy, Playwright, Selenium)

rather than pointing an off-the-shelf tool at your target and hoping.

Recent job: a 35,000-product wholesale catalog crawled in one clean

run, 75,000+ requests, zero retries or 404s, after I found and fixed

a faceted-navigation trap that was flooding the crawl with duplicate

URLs.

Fields: title, price, compare-at price, SKU, EAN, availability,

variants, images, product URL, description, tags, plus anything

custom you specify.

Built for the hard cases:

- JavaScript stores where static scrapers return empty pages

- Shopify and similar sites with public product endpoints, pulled

 API-first, which is faster and cleaner than DOM scraping

- Large catalogs with pagination and duplicate-URL traps

- Rate-limited, proxied crawling that does not get blocked

Price monitoring: scheduled re-runs on Premium, so you track

competitor prices weekly instead of once.

Send the store URL and your field list. I'll confirm product count and

turnaround first.