Thousands of products across hundreds of keywords, run in parallel, into one clean file.
Walmart runs both first-party retail and a growing third-party marketplace, which means its product pages carry two different kinds of signal: Walmart's own pricing, and independent sellers competing on the same items. It is the second-largest US eCommerce destination and consistently the most useful cross-check against Amazon pricing.
Sellers listing on both marketplaces need to know where they sit on each. Brands need to see who is selling their products through Walmart's marketplace and at what price. And for anyone doing product research, Walmart is a useful independent read on demand — a product selling well in both places is a much stronger signal than one selling well in either.
Walmart uses bot detection with JavaScript challenges, rate-limits by IP, and renders search results client-side with a per-query depth cap. The build drives a real browser, runs keyword searches in controlled parallel rather than sequentially — which is what makes hundreds of keywords practical in one run — rotates residential exits, and paces each worker so parallelism does not turn into a block.
Excel, CSV, JSON, a Google Sheet that refreshes on a schedule, a direct write into MySQL or Postgres, or a REST endpoint your own tools can query.
Yes, and that is the usual shape of the job. Keyword searches run in controlled parallel with each worker paced independently, which is what makes a few hundred keywords a single overnight run rather than a week of sequential scraping.
Yes — seller identity is its own column, and for most use cases it is the important one. First-party pricing and third-party pricing behave completely differently and mixing them produces conclusions that are not true of either.
Daily is standard and covers price monitoring. A defined watch list can run more frequently with alerts when a product crosses a price threshold or comes back into stock.
Yes, and matched on UPC or brand plus model, that is the most useful version — one row per product with a price column per marketplace. That is a multi-source build rather than a single scrape, quoted accordingly.
A one-off multi-keyword extract typically runs $250 to $600. An ongoing daily monitor with alerts is usually $400 to $900 plus a small monthly amount. Fixed quote within 24 hours.