Competitor assortment analysis
See what competitors sell, how their catalog is organized, and where your range has gaps.
E-commerce data scraping
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.
A typical schema. We agree the exact fields with you during scoping.
| Field | Example |
|---|---|
| title | Trail Running Shoe |
| brand | Example Outdoors |
| category_path | Shoes > Running > Trail |
| price | 119.00 |
| currency | USD |
| variants | size 8–12, 3 colors |
| availability | in_stock |
| rating | 4.5 |
| review_count | 842 |
| seller | Example Outdoors Official |
| product_url | https://… |
Illustrative output, delivered as JSON, CSV, Excel, Parquet, via API or to your storage.
{
"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://…"
}See what competitors sell, how their catalog is organized, and where your range has gaps.
Fill in missing attributes, specifications and categories for your own product data.
Collect review text and ratings to analyze sentiment, common complaints and feature requests.
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.
Yes. Variants can be delivered as one row per variant or grouped under each product, whichever suits your analysis.
Yes. We can collect review text, ratings, dates and other review details that are publicly shown on the page.
From a few hundred products to very large catalogs. Volume mainly affects run time and price, which we'll confirm during scoping.
Yes. We render JavaScript, follow pagination and infinite scroll, and handle sites that load data dynamically.
Share a few details and we'll reply within 1 business day with questions, a feasibility check and next steps. No commitment.
Prefer email?
sales@neoscrape.comWe'll reply within 1 business day. Keep an eye out for an email from sales@neoscrape.com.