Dedicated Walmart APIWalmart Scraper API — Products, Reviews & Seller Data
The fastest way to start scraping Walmart.com at scale. Structured JSON for search, category shelves, full product detail with UPC and specifications, customer reviews with the complete star histogram, marketplace seller catalogues and store detail. Anti-bot bypass built in. No Walmart account.
No credit card required · PAYG credits never expire
# Full detail for one Walmart item
import scrapebadger
client = scrapebadger.ScrapeBadger("sb_live_...")
product = client.walmart.product(
item_id="5689919121"
){
"item_id": "5689919121",
"name": "HP 14" Laptop, Intel N150",
"price": 199.00,
"upc": "196548912704",
"rating": 4.3,
"review_count": 1284,
"seller": "Walmart.com",
"in_stock": true
}Walmart API — 8 Dedicated Endpoints
Structured JSON responses with normalized data models. No HTML parsing. No proxy management. No Walmart API key.
/v1/walmart/search/v1/walmart/category/v1/walmart/autocomplete/v1/walmart/products/{item_id}/v1/walmart/products/{item_id}/reviews/v1/walmart/sellers/{seller_id}/v1/walmart/stores/{store_id}/v1/walmart/marketsEvery Field You Need, Ready to Use
All fields are normalized from Walmart’s own page data — no HTML for you to parse. Product detail carries barcode identifiers and the full spec table, and reviews carry the complete star histogram alongside the average so you can see the shape of the distribution, not just its midpoint.
Product
item_idstringWalmart item id — the key every other endpoint takesnamestringProduct title as listedbrandstringBrand nameprice / list_pricefloatCurrent price and the struck-through list pricecurrencystringAlways USDupc / gtinstringBarcode identifiers for catalogue matchingmodel_numberstringManufacturer model numberspecificationsobjectFull spec table as name/value pairsrating / review_countfloat / integerAggregate star rating and review volumesellerobjectSeller name, id and whether Walmart itself is the sellerin_stockbooleanAvailability at the resolved storefulfillmentarrayShipping, pickup and delivery options with promised datesvariantsarraySibling items for size, colour and configurationimagesarrayFull-resolution image URLsstoreobjectThe store the response was resolved against — returned, not guessedReview
ratingintegerStars this reviewer gave, 1–5title / textstringReview headline and bodyauthorstringReviewer display namesubmitted_atstringSubmission dateverified_purchasebooleanWhether Walmart marks it a verified purchasehelpful_votesintegerPositive helpfulness votesrating_histogramobjectCount of reviews at each of the five star levelsaverage_ratingfloatAggregate rating across all reviewstotal_reviewsintegerTotal review count, so you know how deep to pagemediaarrayCustomer photos attached to the reviewUnited States
Walmart.com is served from a US residential exit. There is no market or currency parameter to manage — prices come back in USD.
From API call to clean JSON in seconds
No proxy setup. No session management. No anti-bot configuration.
Send a request
Call any Walmart endpoint with your API key — a keyword to search, a category path to browse, or an item id for full detail and reviews. REST or SDK.
We handle the hard parts
ScrapeBadger routes the request through a residential exit with Chrome impersonation, detects blocks, and falls back to a real browser when needed.
Get structured JSON
Receive normalized JSON with prices, UPCs, specs, variants, review histograms, seller and store detail — ready to store, analyse, or pipe into your application.
What Developers Build with Walmart Data
Scraping Walmart gives you real retail signals — price against list price, what a shelf ranks first, how a product’s reviews actually distribute, and who else is selling it.
Price & promo tracking
Track current price against list price on any item over time to catch rollbacks, clearance and competitor undercutting as it happens.
Assortment monitoring
Page category shelves to see what is stocked, what is new and what disappeared — the shelf’s own ranking tells you what Walmart is pushing.
Review analytics
Pull the full star histogram, not just the average, to separate a genuine 4.6 from a polarised one and mine review text for product-quality signals.
Marketplace seller research
Profile third-party sellers and walk their catalogues to size competitors, find resellers of your own brand and spot unauthorised listings.
AI training datasets
Collect structured retail data — titles, specs, UPCs, images, prices and review text — for matching, classification and recommendation models.
Availability & delivery feeds
Read stock state and the promised delivery date per fulfilment method to feed availability into pricing, ads and reorder pipelines.
Pay Per Request. Credits Never Expire.
You only pay for successful responses — failed requests are always free. PAYG credits never expire; volume subscription tiers reduce per-credit cost further.
| Endpoint | Credits / request | PAYG | Subscription |
|---|---|---|---|
Search Products /search | 5 credits | — | — |
Browse Category /category | 5 credits | — | — |
Autocomplete /autocomplete | 1 credit | — | — |
Product Detail /products/{item_id} | 10 credits | — | — |
Product Reviews /products/{item_id}/reviews | 10 credits | — | — |
Seller Profile /sellers/{seller_id} | 5 credits | — | — |
Store Detail /stores/{store_id} | 5 credits | — | — |
Markets /markets | Free | — | — |
See the full plan comparison on the pricing page — subscription tiers step down per-credit cost beyond the cheapest column shown above.
Built for Reliability at Scale
ScrapeBadger's Walmart Scraper API handles everything Walmart throws at automated requests — so your pipeline keeps running.
The full review star histogram
Reviews come back with the count at every star level, not just the rounded average. A 4.6 built from mostly fives reads very differently from one propped up by a bimodal split — and only the histogram tells you which you have.
UPC, GTIN and the whole spec table
Product detail returns barcode identifiers and the complete specification table as name/value pairs, so you can match Walmart items against your own catalogue or another retailer’s without fuzzy title matching.
Marketplace seller catalogues
Third-party sellers are addressable by their numeric catalog id — profile plus a paged view of everything they list. Useful for competitor sizing and for finding who else is selling your brand.
Store detail with per-department hours
Store lookups return address, coordinates, services and opening hours broken out per department — pharmacy, auto care, vision — alongside the nearby stores Walmart itself lists.
Promised delivery dates per fulfilment
Shipping, pickup and delivery each come back with their own promised date, so you can compare fulfilment speed across items instead of inferring it from a generic in-stock flag.
No store-pinning guesswork
Walmart prices and stock resolve against a store. We return the store the response was resolved against, so a price is never ambiguous — you always know which location it came from.
Simple Integration. Any Language.
Get started in minutes with Python, Node.js, or plain HTTP requests.
The scrapebadger Node.js library wraps the Walmart API with typed methods. Install with npm install scrapebadger, then start scraping Walmart in a few lines of code.
import ScrapeBadger from 'scrapebadger'
const client = new ScrapeBadger({ apiKey: 'sb_live_...' })
// Cheapest laptops first
const { products } = await client.walmart.search({
query: 'laptop',
sort: 'price_low',
maxPrice: 500,
})
// Full detail for the top three
for (const p of products.slice(0, 3)) {
const item = await client.walmart.product({ itemId: p.item_id })
console.log(item.name, item.price, item.upc, item.in_stock)
}import ScrapeBadger from 'scrapebadger'
const client = new ScrapeBadger({ apiKey: 'sb_live_...' })
// Newest reviews first, with the full star breakdown
const res = await client.walmart.reviews({
itemId: '5689919121',
sort: 'submission-desc',
})
console.log(res.average_rating, res.total_reviews)
console.log(res.rating_histogram) // { "5": 812, "4": 254, ... }
for (const r of res.reviews) {
console.log(r.rating, r.title, r.verified_purchase)
}Frequently Asked Questions
Common questions about scraping Walmart with the API — Python, Node.js, or REST.
Do I need a Walmart account or developer key?
No. You only need a ScrapeBadger API key. No Walmart credentials, no affiliate programme and no upstream approval are involved.
Where do I find an item id?
It is the long number at the end of a walmart.com product URL — for example 5689919121. Search and category responses also return the item id on every product, so you can go straight from a search result to full detail.
How many products does a search return?
Roughly 40 to 60 organic products per page, across pages 1 to 25. Sponsored placements are kept separate from organic results so your ranking data stays clean.
Which countries are covered?
The United States. Walmart.com is the only storefront this API serves, so there is no market or currency parameter to manage — prices are always USD.
What happens if a request is blocked?
It returns a 422 and costs you nothing. Credits are only deducted for successful responses, so you never pay for a block or a retry.
Bigger volume? Save up to 64%
Per-request credit costs are listed above. For higher monthly volume, subscription tiers reduce the per-credit rate substantially. All Walmart endpoints — search, category, autocomplete, product detail, reviews, sellers and stores — are included on every plan.
Start Scraping Walmart Today
1,000 free credits. No credit card. Get your API key in under a minute.
PAYG credits never expire · Pay only for successful requests · US coverage