Walmart API: Product Data, Reviews, and Seller Intelligence

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Walmart API: Product Data, Reviews, and Seller Intelligence

Walmart's marketplace lists over 400 million products from more than 100,000 third-party sellers. None of that catalog is accessible through a public API.

That's not an oversight. Walmart's developer program exists for approved sellers managing orders โ€” not for developers who need product data, pricing intelligence, or review sentiment. For the latter, the only option has traditionally been brittle scrapers that break on every frontend change.

Today we're shipping 5 dedicated Walmart endpoints as part of the Anysite REST API: products, reviews, product search, sellers, and seller products. They return clean structured JSON via a single POST call with an access-token header.

What these endpoints return

The Walmart API (as exposed through Anysite) covers two surfaces: product data and seller data.

On the product side, POST /api/walmart/products returns the full product object โ€” title, brand, price, list_price, images, ratings breakdown (five stars through one star), specifications array, features list, warranty text, return policy, variant tree, and the current seller with their rating and review count. POST /api/walmart/products/reviews gives you the raw review feed: text, rating, author, date, verified-purchase flag, recommendation flag, helpful count, review photos, and brand or seller responses. POST /api/walmart/products/search handles keyword discovery across the catalog, with optional price filters and sort.

On the seller side, POST /api/walmart/sellers returns the full storefront profile: name, legal name, type, Pro Seller status, rating, review counts, logo, banner image, description, and contact details (email, phone, location) where available. POST /api/walmart/sellers/products enumerates a seller's complete product listing.

All five endpoints cost 1 credit per request. You can look up a product by numeric itemId or by full Walmart URL โ€” the endpoint extracts the ID automatically.

What can you build with Walmart product data?

Price monitoring is the obvious one: pull price and list_price for a set of SKUs on a schedule, calculate discount depth over time, and alert when thresholds cross. The availability_status and is_in_stock fields let you track inventory signals alongside pricing.

Competitor analysis works differently here than on eBay or Amazon. Walmart's marketplace surfaces third-party sellers alongside Walmart's own first-party inventory, so you can identify competing sellers by keyword, pull their storefront details, and enumerate their full catalog โ€” all without any manual work. The is_pro_seller boolean on the sellers endpoint lets you segment by seller quality programmatically.

Review aggregation at scale is another high-value use case. The reviews endpoint returns both the raw review text and the client_responses array โ€” seller and brand replies to individual reviews. That combination is useful for NLP sentiment pipelines, competitive benchmarking, or tracking how a brand handles negative feedback over time.

For product research and AI training datasets, the combination of search (broad keyword discovery) and individual product detail (deep field coverage) lets you build structured datasets across any category at scale.

How does this compare to the official Walmart developer program?

Walmart's Marketplace API is designed for approved sellers: it handles order management, fulfillment status, and inventory sync for businesses selling on Walmart. It does not expose the product catalog, customer reviews, third-party seller data, or search results to outside developers. The program also requires a Walmart seller account as a prerequisite.

These endpoints cover different ground: read access to the public product and seller data that appears on Walmart.com, structured as JSON, without requiring any Walmart account or approval process. The full endpoint reference is at docs.anysite.io.

Where to go from here

The endpoint page at anysite.io/endpoints/walmart/ has the full endpoint reference โ€” input params, return fields, and curl examples for each of the 5 endpoints. If you're monitoring across multiple e-commerce platforms, the eBay and TikTok Shop endpoints use the same authentication and credit model.