Budget: 1000 UAH Deadline: 5 days
Ustin, straight to the point: frontal scraping of eBay is quick - anti-bot plus listings that are redrawn with JS. And there’s a nuance that is usually discovered during the process: eBay hides buyers, bids on auctions are anonymized (only masked nicknames like b***r are visible). It’s really possible to gather sellers - store, rating, country, assortment by categories Art. This should be included in the task setup in advance to avoid paying for the impossible.
How I do it: where there is an official API (eBay has the Browse API) - I go through it, more stable and without bans. Where there is no API - Python and Playwright with JS rendering and pauses for rate-limit, so the scraper stays alive and doesn’t drop out after the second hundred pages. Specialized art platforms (Artnet, Invaluable, LiveAuctioneers, 1stDibs) are arranged differently, each has its own structure and protection, so one question: which specific sites besides eBay do you need? The volume of work depends on the list.
In the end, I provide a clean Excel or Google Sheets table: seller or dealer, platform, specialization, location, public contacts where they are open, without duplicates. A live example of working with data aggregation is pinger.md, a catalog of real estate and cars in Moldova: data there is collected from several sources and normalized into unified cards.
I’m ready to start with a free sample of 30 rows from one source - check the format and decide if it suits you. The timeframe for the entire volume is 5 days. Write to me, and we will discuss the list of sources.