E-commerce data scraping

E-commerce product data from stores and marketplaces.

We extract product details, prices, variants, availability and reviews from online stores and marketplaces, normalize them into one schema, and deliver them in the format your team uses, on a schedule or on demand.

  • ✓ Free proof of concept first
  • ✓ Confidential by default
  • ✓ Scheduled or on-demand

What we collect

A typical schema. We agree the exact fields with you during scoping.

FieldExample
titleTrail Running Shoe
brandExample Outdoors
category_pathShoes > Running > Trail
price119.00
currencyUSD
variantssize 8–12, 3 colors
availabilityin_stock
rating4.5
review_count842
sellerExample Outdoors Official
product_urlhttps://…

Example record

Illustrative output, delivered as JSON, CSV, Excel, Parquet, via API or to your storage.

ecommerce-data-scraping.jsonexample
{
  "title": "Trail Running Shoe",
  "brand": "Example Outdoors",
  "category_path": "Shoes > Running > Trail",
  "price": 119,
  "currency": "USD",
  "variants": "size 8–12, 3 colors",
  "availability": "in_stock",
  "rating": 4.5,
  "review_count": 842,
  "seller": "Example Outdoors Official",
  "product_url": "https://…"
}

What teams use it for

Competitor assortment analysis

See what competitors sell, how their catalog is organized, and where your range has gaps.

Catalog enrichment

Fill in missing attributes, specifications and categories for your own product data.

Reviews & ratings

Collect review text and ratings to analyze sentiment, common complaints and feature requests.

Marketplace seller monitoring

Track which sellers list your brand, at what prices, and with what availability.

Every project starts with a free proof of concept, stays confidential, and can be delivered your way.

E-commerce data FAQ

Can you collect product variants like size and color?

Yes. Variants can be delivered as one row per variant or grouped under each product, whichever suits your analysis.

Do you collect review text as well as ratings?

Yes. We can collect review text, ratings, dates and other review details that are publicly shown on the page.

How large a catalog can you handle?

From a few hundred products to very large catalogs. Volume mainly affects run time and price, which we'll confirm during scoping.

Can you handle JavaScript-heavy storefronts?

Yes. We render JavaScript, follow pagination and infinite scroll, and handle sites that load data dynamically.

Get a web scraping quote: Tell us what you need.

Share a few details and we'll reply within 1 business day with questions, a feasibility check and next steps. No commitment.

  • 01We review your request and check the target sites.
  • 02We reply within 1 business day with questions, or to sign your NDA if you asked for one.
  • 03You get a free proof of concept and a quote typically within a week of scoping.

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