How to scrape e-commerce product data

The best way to scrape e-commerce product data is to fetch each product page, read the store's own structured data where it has it, and extract the rest with one schema you use for every store. The hard part is getting the pages, because big retailers block most scrapers. In our September 2026 benchmark, the String Web Access API returned 92.9% of requests on 17 retail sites, against a field average of 62.1%, and 97% across all 100 bot-protected sites, the most of 16 providers. We rank the providers for this job in best e-commerce scraping APIs.

Scraping e-commerce product data with String costs $0.16 to $0.90 per 1,000 product pages on the Growth plan ($99 a month, all of it usage credit), depending on whether a store bills at the standard or the premium rate. On October 30, 2026, Amazon, Best Buy and Home Depot product pages billed premium, and Walmart and a Shopify store billed standard. Checking 10,000 products once a day is 300,000 requests a month: $48 if every page bills standard, $270 if every page bills premium. At 2 million pages a day, Volume rates ($0.11 and $0.45 per 1,000) come to $6,600 to $27,000 in monthly usage, and an Enterprise rate card starts at $2,500 a month. Failed requests aren't billed. See pricing.

To keep scraped prices correct, store the fetch time and the country with every price, take the price from the offer you mean (new, sold by the retailer), and compare the structured-data price with the visible one. Schema.org data can hold the list price while the page shows a sale price. Set countryCode to the country you sell in, since prices, currency and delivery change with location. String sets the country, not a city or ZIP code.

To scrape Amazon product data, fetch the product page by its ASIN, such as amazon.com/dp/B07FDJMC9Q, and read the price, seller, stock, rating and the UPC from the details table. Amazon has no schema.org Product record on the page, so pass a jsonSchema for the fields you need. String returned 5 of 5 on amazon.com in our benchmark. Our guide on how to scrape Amazon product data covers it in more detail.

Yes, you can collect every variant a store shows on the page or in its catalog JSON. Shopify stores list each variant's price, SKU and stock at /products.json. On other stores, add a variants array to your jsonSchema, or fetch each variant's URL if the store gives every color its own page.

Prices, stock and product specifications are facts, and collecting public prices is among the best-supported cases in scraping law. Product photos, descriptions and reviews can be copyrighted, and site terms you accept can still bind you. Stay on public pages, keep your request rate reasonable, and check with your counsel. We cover the cases in is it legal to scrape competitor prices?

Send us the product URLs and we'll run them and show you what comes back before you commit. String returned all 5 attempts on 15 of the benchmark's 17 retail sites. It missed one on coupang.com, and none of the 16 providers fetched temu.com. Ask for a free sample product feed, or test the stores yourself with your first 20,000 free standard fetches.