Walmart Scraper — Products, Prices, Ratings & Stock

The fast, reliable Walmart.com product scraper for Apify. Feed it search keywords or product URLs and get back clean, structured JSON — one record per product — with title, price, sale (was) price, rating, review count, brand, seller, availability, image and the Walmart item id. Ready to drop straight into a pricing dashboard, repricer, BI warehouse or quant model.

Walmart is the largest retailer in the United States — ~$640B annual revenue, 4,600+ US stores, and walmart.com is the #2 US e-commerce site after Amazon. It is also one of the richest public price-and-availability surfaces on the web: first-party Walmart inventory and a sprawling third-party marketplace, side by side. This actor turns that surface into a programmatic feed.

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What you get per product

Field	Type	Description
title	string	Product name / title
price	number	Current selling price
was_price	number	Original / strikethrough price (only present when the item is on sale)
currency	string	Currency code (e.g. USD)
rating	number	Average star rating (0–5)
reviews_count	int	Number of customer reviews
walmart_id	string	Walmart US item id (usItemId) — the stable join key
brand	string	Brand name
seller	string	Seller — Walmart.com for first-party, or the marketplace seller name
availability	string	Stock status (IN_STOCK / OUT_OF_STOCK / display string)
url	string	Canonical Walmart product URL
image_url	string	Primary product image URL
category	string	Product category / type (when exposed)
query	string	The keyword or URL that produced this record
mode	string	keyword_search or product_url
data_source	string	Provenance (httpx vs playwright)
as_of_timestamp	string	UTC ISO-8601 capture time

Alongside the product rows, the actor emits a per-query summary record (record_type: "query_summary") for each keyword with the product count and avg_price — handy for at-a-glance category price benchmarking without re-aggregating downstream.

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Two input modes

Search keywords

Provide a keywords array (e.g. ["coffee maker", "air fryer", "running shoes"]). Each keyword runs a Walmart search across multiple result pages and returns one record per product, up to maxItems. Use this for category sweeps, competitor catalogue discovery, or price benchmarking.

Product URLs

Provide a productUrls array of exact Walmart product pages (e.g. https://www.walmart.com/ip/.../121002347). Each URL returns a single, detailed product record. Use this for watchlists, repricing, and tracking specific SKUs over time.

You can supply both in one run.

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How the actor handles Walmart's anti-bot wall

Walmart defends walmart.com with PerimeterX / bot-detection on datacenter IPs. The actor uses a resilient waterfall:

1. httpx + realistic browser headers (warmed session) — pulls the homepage first to pick up cookies, then requests the search / product page and parses the embedded __NEXT_DATA__ JSON blob (the same hydration state Walmart's own front-end uses). This is the reliable, structured path — not brittle DOM scraping.
2. Playwright headless Chromium fallback — with stealth countermeasures (navigator.webdriver patch, realistic locale / timezone / viewport, plugin spoofing) for when the static HTML is blocked or JS-gated.
3. Graceful no-result handling — if every strategy is blocked, the actor pushes a single status row explaining the situation (no charge applied) rather than crashing your pipeline.

All paths run behind Apify's RESIDENTIAL proxy pool by default, which is strongly recommended for Walmart.

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How buyers actually use this actor

• Repricing / price intelligence — daily productUrls pull of a SKU watchlist to feed a dynamic-pricing engine; was_price exposes live markdown depth.
• Brand & MAP monitoring — keyword_search across a brand portfolio to catch unauthorized marketplace sellers and minimum-advertised-price violations.
• Category research — weekly keyword sweeps with the query_summary rows to track average price and assortment depth per category over time.
• Quant / consumer-discretionary desks — Walmart price & availability as an alt-data signal joinable by walmart_id.
• Affiliate & comparison sites — keep a Walmart price/stock column fresh next to other retailers.

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Related NexGenData e-commerce actors

Pair the Walmart Scraper with the rest of the NexGenData retail-intelligence fleet:

• 🔗 Amazon Product Scraper — the #1 US e-commerce surface; price, BSR, ratings & buy-box.
• 🔗 Google Shopping Scraper — cross-retailer price comparison from a single query.
• 🔗 eBay Sold Comps — real sold-listing comps for resale & valuation.
• 🏢 About NexGenData — the full fleet of production e-commerce, finance and social-data scrapers.

Run Walmart + Amazon + Google Shopping on the same SKU list to build a complete cross-retailer price-and-stock matrix.

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Input parameters

• keywords — array of Walmart search terms (keyword_search mode).
• productUrls — array of exact Walmart product page URLs (product_url mode).
• maxItems — max product records per run (1–1000; default 50).
• proxyConfiguration — Apify proxy (defaults to RESIDENTIAL — strongly recommended).

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Disclaimer

This actor collects only publicly visible Walmart.com product data using the same page endpoints any logged-out walmart.com visitor reaches. It does not bypass logins, paywalls or private data. Buyers are responsible for compliance with Walmart's Terms of Service and applicable data regulations in their jurisdiction.