SellerSprite: Amazon product and keyword research

For one operator researching products, categories and keywords on the website or in the extension. Monthly Basic supports on-demand research without the three tracker allowances; the annual plan adds ongoing product, keyword and new-listing tracking.

For a small team sharing product and keyword research. Subaccounts let colleagues work through separate logins, while a larger shared tracker pool supports regular checks of selected ASINs, keywords and competing storefronts.

For teams researching a broader product range and following more keywords at once. Compared with Standard, it expands the shared tracker allowances and the number of subaccounts; the core product and keyword research tools remain the same.

For teams monitoring a larger portfolio of products and competing storefronts. It provides the largest tracker pool and most subaccounts among these four research plans, supporting more parallel research work without changing what the underlying research tools do.

Look up known ASINs, brands or sellers and return matching products with price, sales estimates, BSR and rating data. Use the results to build a recurring competitor comparison in an internal report.

Filter the product database by conditions such as category, price, ratings and estimated sales growth, then receive matching ASINs and their metrics. This supports a repeatable product-shortlisting process in a team’s own tool.

Retrieve the product record for a specified marketplace and ASIN, including title, brand, price, category, ratings, variants and fulfillment information. Use it to enrich an internal product catalog or comparison table.

Enter an ASIN to retrieve daily and monthly sales estimates with price and estimated revenue records. This provides a product-level demand history; the returned sales are estimates, not confirmed orders.

Enter a marketplace, category and Best Sellers Rank to estimate daily and 30-day sales. It can compare the sales scale associated with different ranks even when the starting input is a rank rather than a particular ASIN.

Find products linked to selected ASINs through recommendation or advertising placements, with product metrics for the returned listings. The results help build a set of related products to investigate beyond the team’s existing competitor list.

Start with a seed phrase and retrieve related keywords with search volume, PPC bid and competition metrics. Feed the results into an internal keyword library for listing and advertising research.

Retrieve a keyword’s Google search-interest time series for a selected market and search type. Compare seasonal patterns or demand changes outside Amazon; these values describe search interest, not product sales.

Search the keyword database by category, search volume, growth, product count and purchase-related filters for a selected month. This finds terms that meet a market-research condition, rather than only expanding one seed phrase.

Screen Amazon search terms using weekly search-rank changes and related metrics, then inspect the leading clicked ASINs and their click and conversion shares. Use it to spot changing search demand and the products already capturing it.

Summarize how many keywords are associated with an ASIN across organic search, sponsored products, video, brand ads and other documented sources. This shows the mix of keyword exposure sources; it is different from a keyword-by-keyword rank list.

Enter an ASIN to retrieve its search keywords, search metrics and organic or sponsored positions. Use the detailed term list to identify words a competing product appears for and examine gaps in the team’s own keyword research.

The developer reference describes the Product node, which returns category IDs, category paths, names and product counts. These identifiers support category filters in other research calls; when ordering, confirm that the offering named Product Category maps to that endpoint.

Category-market data for research systems: the documented APIs return filtered category lists, sales and price summaries, concentration measures and distributions by seller type, listing age and ratings. The public price row does not identify the endpoint bundle included in this offer.

The API filters categories by marketplace, sales, price, ratings and concentration, then returns a paginated category list with sales and revenue totals, sample size, average price and measures for leading and newly launched products.

For a selected marketplace and category, the API returns category-sample statistics alongside separate figures for the selected top-N listings and new products: sales, revenue, prices, rating counts and star ratings.

The concentration APIs show how category sales and revenue are divided among products, brands and sellers, with rankings and ASIN detail. Confirm which of these documented endpoints the Total offer includes.

The API returns category distributions by seller type or seller country. Type results include ASIN counts and sales shares; country results include ASIN lists, product counts, sales and revenue, helping analysts compare the seller mix.

The API groups a category sample by listing age or launch year, returning the ASINs, product count, sales, revenue and sales share in each group. Analysts can compare how much demand goes to newer versus established listings.

For a selected category and period, the API returns ASIN count, return and search-to-purchase ratios, category comparison ratios, and dated product-page view counts. These fields support demand and conversion analysis.

The API groups category products by rating count or star rating, with ASINs, product counts, sales, revenue and sales share for each band. This shows how sales are distributed among products with different rating counts or star ratings.

Try the competitor-lookup API with selected ASINs, brands or sellers and inspect the returned product metrics in an integration. This is a paid, time-limited API trial, separate from a trial of the website research plan.