Walmart Scraper
Pricing
from $3.50 / 1,000 overview products
Walmart Scraper
Scrape Walmart products by keyword, URL or item ID with required ZIP-local prices and stock. Export price, unit price, ratings, seller, fulfillment and images for price monitoring and catalog builds. HTTP Walmart scraper and API alternative — no browser.
Pricing
from $3.50 / 1,000 overview products
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0.0
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Developer
Andrej Kiva
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21 hours ago
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Walmart Scraper — ZIP-local prices, stock & SKUs
Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Walmart Inc. or its affiliates. Data is read from publicly accessible catalog pages only. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.
US retail catalog — ZIP-local Walmart product prices and stock for price monitoring, MAP checks, and catalog fills. Pair with Amazon Search for marketplace comps.
| Walmart catalog | Weekly grocery ads | Amazon search | Tractor Supply catalog |
|---|---|---|---|
| Walmart Scraper ◄── you are here | Aldi Weekly Ad Scraper · Lidl Weekly Offers Scraper | Amazon Search Scraper | Tractor Supply Product Scraper |
| ZIP-local price, unit price, stock | ALDI US / Lidl EU flyer prices | Keyword SERP, ASIN, badges | Rural-retail SKUs and specs |
This Walmart scraper turns public search, category, and product pages into a structured Apify dataset. Every run requires a US ZIP, so rows carry local price, unit price, stock, pickup/delivery, seller, rating, and images. Use it as a Walmart API alternative from Python, Node.js, or an MCP assistant — HTTP scrape, no browser.
When to use this Actor
- Walmart product scrape by keyword, product URL, search URL, category URL, or numeric item ID
- ZIP-local price and stock for the store serving that ZIP (optional store ID pin)
- Price monitoring and MAP checks on advertised prices, was-prices, and unit prices
- Assortment research — ratings, review counts, sponsored flags, SNAP EBT, fulfillment
- SKU / URL enrichment when you already have
/ip/links orusItemIdvalues
When not to use this Actor
- Checkout, cart, or Walmart account automation
- Full review-text export — this Actor returns rating and review count, not review bodies
- Store-locator crawls as a primary job (pass
zipand optionalstoreIdinstead) - Canada / Mexico catalogs — US catalog only
- Amazon search — use Amazon Search Scraper
Key Features
- Required ZIP — every row is localized (price, stock, pickup/delivery, serving store)
- Keyword search — the same terms shoppers type into Walmart search
- URL / ID lookup —
/ip/product pages, search URLs,/browse/categories, numericusItemId - Overview vs detail — fast listing cards, or enrich with UPC, description, images, variants
- Unit price & SNAP — per-oz / per-count strings and EBT flag when the page exposes them
- Fast HTTP — public
__NEXT_DATA__via Chrome TLS impersonation; no headless browser
Use Cases
| Use case | What you get | Why it helps |
|---|---|---|
| ZIP price monitoring | price, originalPrice, unitPrice, storeId | Track advertised Walmart prices for a local store |
| Stock / fulfillment | inStock, pickupAvailable, deliveryAvailable | See pickup vs shipping for that ZIP |
| Search harvest | Title, rating, seller, sponsored flag | Build shortlists from shopper queries |
| SKU / URL enrichment | UPC, description, images, variants (detail mode) | Fill PIM / ERP from known item IDs |
| MAP / offer checks | offerCount, seller, was-price | Spot extra marketplace offers on a product page |
Quick Start
ZIP-local keyword search (overview):
{"keywords": ["paper towels"],"zip": "10001","scrapeMode": "overview","maxItems": 40,"maxPages": 1}
Product URL or item ID (detail):
{"startUrls": ["https://www.walmart.com/ip/Bounty-Paper-Towels-Select-a-Size-6-Triple-Rolls/14580219389"],"itemIds": ["14580219389"],"zip": "75201","storeId": "3520","scrapeMode": "detail"}
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
keywords | Array | — | Search terms, one per line |
startUrls | Array | — | Product /ip/, search, or /browse/ URLs |
itemIds | Array | — | Numeric Walmart usItemId values |
zip | String | required | 5-digit US ZIP (prefill 10001) |
storeId | String | empty | Optional store number to pin assortment |
scrapeMode | Enum | overview | overview (listings) or detail (product-page enrich) |
sort | Enum | best_match | best_match, price_low, price_high, best_seller, rating, newest |
minPrice / maxPrice | Number | — | Optional search price bounds |
maxItems | Integer | 40 | Maximum dataset items per run |
maxPages | Integer | 5 | Max search pages per keyword (~40 products/page) |
requestDelaySecs | Number | 0.35 | Delay between HTTP requests |
proxyConfiguration | Object | US residential | Apify Proxy — US RESIDENTIAL required |
Output
| Field | Description |
|---|---|
usItemId | Numeric Walmart item id |
title | Product title |
brand | Brand / manufacturer |
price | Current ZIP-local price |
originalPrice | Was-price when higher |
unitPrice | Per-unit string when present |
rating / reviewCount | Stars and review count |
sellerName | Buy-box seller |
availability / inStock | Stock status |
pickupAvailable / deliveryAvailable | Fulfillment flags |
snapEligible | SNAP EBT flag when exposed |
isSponsored | Sponsored search card |
zip / storeId | Requested ZIP and serving store |
url | Canonical product URL |
upc | UPC on detail rows |
description / images / variants | Product-page extras in detail mode |
error | Fetch/parse error (recordType=error, not billed) |
Output example
{"source": "walmart","recordType": "listing","usItemId": "14580219389","title": "Bounty Paper Towels Select-a-Size, 6 Triple Rolls","price": 16.94,"unitPrice": "$2.30/100 ct","currency": "USD","rating": 4.7,"reviewCount": 100895,"sellerName": "Walmart.com","availability": "IN_STOCK","inStock": true,"zip": "10001","storeId": "1171","url": "https://www.walmart.com/ip/Bounty-Paper-Towels-Select-a-Size-6-Triple-Rolls/14580219389"}
Integration examples
Replace YOUR_TOKEN with an Apify API token. US residential proxy is required for ZIP-local assortment.
Node.js
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('crawloop/walmart-scraper').call({keywords: ['paper towels'],zip: '10001',scrapeMode: 'overview',maxItems: 25,proxyConfiguration: {useApifyProxy: true,apifyProxyGroups: ['RESIDENTIAL'],apifyProxyCountry: 'US',},});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("crawloop/walmart-scraper").call(run_input={"keywords": ["paper towels"],"zip": "10001","scrapeMode": "overview","maxItems": 25,"proxyConfiguration": {"useApifyProxy": True,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "US",},})items = client.dataset(run["defaultDatasetId"]).list_items().itemsprint(items)
cURL
curl "https://api.apify.com/v2/acts/crawloop~walmart-scraper/runs?token=$APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"keywords":["paper towels"],"zip":"10001","scrapeMode":"overview","maxItems":25,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"],"apifyProxyCountry":"US"}}'
MCP and AI assistants
Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/walmart-scraper.
Example prompts:
- "Run Walmart Scraper for keyword paper towels in ZIP 10001 and return the top 20 rows as JSON"
- "Look up Walmart item 14580219389 in detail mode for ZIP 75201 and summarize price, UPC, and stock"
- "Scrape Walmart search milk in ZIP 10001, then chain Amazon Search Scraper for the same keyword comps"
Suite next step
After a Walmart ZIP-local pull, run Aldi Weekly Ad Scraper for US grocery circulars, Amazon Search Scraper for marketplace search comps, or Tractor Supply Product Scraper for rural-retail catalog rows.
Related Actors
| Focus | Actor |
|---|---|
| Walmart ZIP-local catalog | Walmart Scraper ◄── you are here |
| ALDI US weekly circular | Aldi Weekly Ad Scraper |
| Lidl EU weekly leaflets | Lidl Weekly Offers Scraper |
| Amazon keyword search | Amazon Search Scraper |
| Tractor Supply catalog | Tractor Supply Product Scraper |
| Wholesale / liquidation lots | 888lots Scraper |
| eBay sold comps | eBay Sold Listings Scraper |
FAQ
How do I scrape Walmart with Python or Node.js?
Call crawloop/walmart-scraper with the Apify client examples above. Pass zip plus at least one of keywords, startUrls, or itemIds. Export the dataset as JSON or CSV from the run.
Why is ZIP required?
Walmart prices and stock are store-scoped. A national dump without ZIP is what generic product scrapers already sell. This Actor always localizes the run.
What is the difference between overview and detail?
Overview is one search request per page (price, ratings, stock, fulfillment). Detail fetches each product page and adds UPC, description, image gallery, variants, and return policy.
Does this include grocery aisles?
Grocery SKUs appear in search and product pages the same way as other catalog items. Pass a ZIP so unit price and pickup reflect that store. This is not a weekly-ad or store-locator Actor.
Does this include review text?
No. Each row includes star rating and review count only.
Are error rows billed?
No. error rows are not billed as listing or product results.
Why do I need residential proxy?
PerimeterX often blocks datacenter IPs. US RESIDENTIAL is the default so ZIP-local assortment can resolve.
Can I pin a specific store?
Yes — set storeId to a Walmart store number. storeId on output is the serving store used for the row.
Notes
- Prefer US Apify RESIDENTIAL. Bare datacenter IPs often return a bot wall.
- The digits at the end of a product URL are the canonical
usItemId. errorrows are not billed as listing or product results.