Wildberries niche analysis
Before buying stock it helps to know what you are walking into: how many sellers are already there, how wide the price spread is, and whether there are listings without reviews that are easy to outrank. The tool collects the search results for your query and folds them into one sheet with an entry score.
What you get in the file
columns from the tool “Wildberries: product search”| SKU | Title | Brand | Seller | Seller ID | Price, ₽ | Price before discount, ₽ |
|---|---|---|---|---|---|---|
An Excel file with links in a separate column and a KPI sheet. The rows will be yours — only the headers are shown here.
Features
- One summary sheet: products, sellers, brands, prices, reviews
- Entry score — how crowded the niche is and where the gaps are
- Price spread: where the listings start and where the middle of the market sits
- Share of listings without reviews — the most vulnerable competitors
- Top sellers of the niche on a separate sheet
- Works from a ready WB category, not only from a keyword
How it works
Enter an SKU, seller or category
Paste SKUs, a seller link, or pick a category with filters.
Choose what to collect
One summary sheet: products, sellers, brands, prices, reviews.
Run the collection
Data is read from the Wildberries storefront; no credentials needed.
Download the Excel file
A table with prices, ratings and card links.
FAQ
Do you show competitors' sales and recommunity?
No, and that is deliberate. Wildberries does not publish sales in open data, so anyone's "monthly sales" figure is a formula estimate, not a fact. We show what can be verified: prices, reviews, stock, positions.
Where does the entry score come from?
From the ratio of seller count, price spread and the share of listings without reviews for your query. It is a guide, not a verdict.
How fresh is the data?
Every run queries Wildberries search again, so you see the current state. To build history, put the query under Monitoring.
How many products are analysed per run?
Measured on the query "термокружка" (thermal mug): search returns 100 products per pass, and the summary is built from them.