How to Get Walmart Product Data and Store-Level Prices Through an API

To get Walmart product data programmatically, use Scavio's Walmart API. POST /api/v1/walmart/search returns a page of products (55 for "air fryer") with price, rating, review count, seller, stock status and pickup and delivery options; add a store_id and delivery_zip and every price and stock flag comes from that store. /product adds variants, specifications and the aisle, /reviews returns the star breakdown and review text, and /offers lists every seller with the buy-box winner. Most calls cost 1 credit, about $0.002 on the Growth plan billed yearly.

Walmart's own developer programs serve marketplace sellers managing their own listings and orders, so they are the wrong tool for reading the public catalogue, a competitor's price or what a given store charges.

Step 1: Search products

curl -s https://api.scavio.dev/api/v1/walmart/search \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "air fryer"}'

On October 26, 2026 this returned 55 products from 2,263 results in one call, with a location object naming the store the results were priced at. One row, as captured (URL tracking parameters trimmed):

{
  "pos": 12,
  "id": "5144605607",
  "title": "Ninja Air Fryer Pro XL 5-Qt, 3-in-1, 400°F Air Crisp Technology, Nonstick Crisper Plate, AF140 Black",
  "url": "https://www.walmart.com/ip/Ninja-Air-Fryer-Pro-XL-5-5-qt-Black-Air-Fry-Roast-Reheat-Dehydrate-Black-AF140/5144605607",
  "price": 79.97,
  "currency": "USD",
  "rating": 4.6,
  "rating_count": 7596,
  "seller_name": "Walmart.com",
  "sponsored": false,
  "out_of_stock": false,
  "fulfillment": {
    "delivery": true,
    "pickup": true,
    "shipping": false,
    "free_shipping": false,
    "aisle": null,
    "stock_source": "store"
  },
  "availability_status": "In stock",
  "badge": "100+ bought since yesterday"
}

sponsored lets you drop ads from a ranking, badge carries Walmart's own signals such as "Overall pick" or "100+ bought since yesterday", and page pages through the rest.

Step 2: Price it at a specific store

Walmart prices fresh and local items per store, and walmart.com shows each shopper the price at their store. To get a given store's numbers, find its id first:

curl -s https://api.scavio.dev/api/v1/walmart/stores \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"zipcode": "10001"}'

For ZIP 10001 the nearest store returned was the Secaucus Supercenter, store 3520. Pass it to search with a delivery ZIP:

curl -s https://api.scavio.dev/api/v1/walmart/search \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "whole milk gallon", "store_id": "3520", "delivery_zip": "07094"}'

The response's location confirms {"city": "Secaucus", "state": "NJ", "store_id": "3520", "zipcode": "07094"}, and Great Value Whole Vitamin D Milk, Gallon came back at $4.25. The same search at four other stores priced it at $2.53 in Chicago, $2.62 in Dallas, $3.08 in Miami and $3.48 in San Leandro, California. A store-targeted search or product call costs 2 credits.

Step 3: Get the full product

curl -s https://api.scavio.dev/api/v1/walmart/product \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"product_id": "5144605607"}'

Product detail adds everything search leaves out: every image, the GTIN, brand, model and manufacturer part number, the specifications table, short and long descriptions, seller type, and variants[] with each variant's own product id, price, options and stock state. For the Ninja air fryer that was 9 variants across two sizes and seven colours, from $79.97 for the black 5-quart to $99.97 for the black 6.5-quart. fulfillment names the pickup store and the aisle, which here was H19.

Step 4: Read the reviews

curl -s https://api.scavio.dev/api/v1/walmart/reviews \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"product_id": "5144605607"}'

The summary arrives with the first page:

{
  "product_id": "5144605607",
  "average_rating": 4.6,
  "total_review_count": 7596,
  "reviews_with_text_count": 1447,
  "recommended_percentage": 93,
  "rating_breakdown": { "1": 373, "2": 89, "3": 190, "4": 561, "5": 6383 },
  "count": 10
}

Then reviews[] holds 10 reviews a page with rating, title, text, date and a verified_purchase flag, and top_positive_review and top_negative_review give you Walmart's own pick of each. Pass page and sort to go deeper.

Step 5: See every seller and the buy box

curl -s https://api.scavio.dev/api/v1/walmart/offers \
  -H "Authorization: Bearer $SCAVIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"product_id": "5144605607"}'

Each offer carries seller name and type, whether it is a marketplace seller, price, condition, availability, fulfillment options, Walmart Fulfillment Services (wfs) and is_buy_box_winner. For this air fryer Walmart.com held the buy box at $79.97. On listings with marketplace sellers, pass a seller_id to /api/v1/walmart/seller and /seller-products for the seller's rating, location and whole catalogue.

All eight endpoints

walmart.com and walmart.ca cost the rates above; walmart.com.mx costs 2 credits a call. For a side-by-side of every option, see the best Walmart scraper APIs.

Getting started

1. Sign up at dashboard.scavio.dev/sign-up: 50 free credits, no card required.
2. Copy your API key from the dashboard.
3. Send a POST to /api/v1/walmart/search with your key in the Authorization header.

Try the Walmart API free in the playground first, or call it from Claude and other agents through the MCP server.

Reference: Walmart API overview · search · product · reviews · offers · stores