Walmart Real-Time Data — Live Walmart Product Scraper (Apify Actor)

The richest, most production-ready public Walmart data scraper on Apify.

Stop fighting PerimeterX, Akamai, and Walmart's anti-bot walls. This Actor returns live search results, extremely detailed product pages (40-60+ fields), reviews with photos, rollbacks, best sellers, and category data as clean structured JSON.

Checkbox features — turn on only what you need. US + Canada support. Residential proxy + 2Captcha built-in. No code required.

Export to Sheets, pipe to webhooks, schedule monitoring, or call via Apify API / MCP. One of the highest-signal public Walmart datasets you can get.

---

Why teams choose Walmart Real-Time Data

• Insanely rich records — not just price + title. Full specs map, parsed dimensions, unit pricing, variant matrices, fulfillment ETAs (pickup today / delivery windows), Walmart+ signals, rollback context, seller details, customer photo counts, and 40-60 fields on Product Details.
• 7 powerful tools in one — Search, Details, Reviews, Deals, Best Sellers, Category Browse, flexible URL scraper.
• Real commerce signals — same-day pickup, delivery estimates, "Walmart Exclusive", Best Seller badges, sponsored flags, 3rd-party seller info. Gold for inventory proxies and dropshipping.
• Built for scale & reliability — session warm-up (homepage + category browse), cookie reuse for PDP, multi-strategy navigation, stealth browser flags, residential proxies, and optional 2Captcha.
• MCP / API / automation friendly — exhaustive input schema + example payloads + output shapes documented here.
• Apify native — webhooks, scheduling, dataset views, CSV/Excel export, integrations with everything.

If you need actionable Walmart data (not thin scrapes), this is it.

---

Who is this for?

User	What you get
Walmart sellers & vendors	Competitor prices, offer changes, review velocity, rollback detection
Price intelligence / repricers	Live + historical baseline pricing with wasPrice, unit price, discount %
Dropshippers & arbitrage	High-signal products with fast fulfillment (pickup today = real local stock)
CPG brands & researchers	Assortment, best-seller movement, deal velocity, rich specs for matching
Deal / affiliate sites	Fresh rollback & clearance feeds with deep discount data + badges
Agencies & consultants	Client-grade datasets without building or maintaining scrapers
Data teams & developers	Reliable "Walmart API" via Apify — clean JSON, no SP-API equivalent needed

---

What makes the data so rich?

A single Product Details record typically contains:

Pricing & value

• price, wasPrice, unitPrice (with display string like "$0.08 / fl oz"), savings, rollback/clearance flags

Availability & logistics (unique Walmart strength)

• inStock + detailed status
• pickupAvailable / pickupToday / pickupEstimate
• deliveryEstimate, shippingSpeed, freeShipping, Walmart+ eligibility
• fulfillmentOptions array (detailed)

Trust & merchandising

• rating + full breakdown, reviewCount, photo/video counts
• badges: Best Seller, Walmart Exclusive, Sponsored, Rollback, Clearance, New...

Seller

• sellerName, isWalmart, fulfilledBy, marketplace seller info

Rich attributes

• specifications: full key-value map (Material, Flavor, Dimensions string, Count, Container Type, etc.)
• dimensions object (parsed numeric length/width/height/weight)
• highlights, longDescription

Variants

• variantOptionTypes + full variants array with per-option pricing/stock/images

Media

• primary + large gallery of imageUrls (often 10-20+)

Context

• breadcrumbs, categories, related/frequently bought

Search & Deals records are also packed with the above signals where present on the page.

This level of coverage fits price monitoring, catalog sync, competitive intelligence, local stock estimation, ML training sets, and more.

---

Features

Feature	Default	Description
🔍 Product Search	ON	Keyword search with position, price, badges, fulfillment snippets, ratings
📦 Product Details	OFF	Deep PDP — the richest output. Use for exact items or follow-up enrichment
⭐ Product Reviews	OFF	Paginated reviews including customer photos
🔗 Scrape By URL	OFF	Any Walmart URL — auto-detects search / product / deals / category
🏷️ Deals	OFF	Rollbacks, clearance, special buys, flash deals
🏆 Best Sellers	OFF	Ranked best sellers or trending from hubs or categories
📂 Category Browse	OFF	Browse any department/category URL for rich product grids

---

25+ Marketplaces? No — focused & deep

Primary: United States (US — walmart.com) — full coverage
Secondary: Canada (CA — walmart.ca)

Walmart's strength is depth on the US site. We optimized for quality and anti-bot success here.

---

How to run

1. Open the Actor on Apify.
2. Choose country (US recommended).
3. Check the features you need (Product Search is on by default).
4. Provide keywords, item IDs (e.g. 13802306327), or full URLs.
5. Use Residential proxies (Apify RESIDENTIAL or DataImpulse — we provide rotation guidance).
6. Run. Filter results by featureType in the dataset.

Pro tip: Schedule runs (hourly/daily) + webhooks for price/availability/stock signal monitoring.

---

Example Inputs (Console, API, MCP)

Important: When calling a single feature via API/MCP, set "enableProductSearch": false and enable only the one(s) you want.

Product Search only (default behavior)

{
  "country": "US",
  "enableProductSearch": true,
  "searchKeywords": ["wireless mouse", "tide detergent"],
  "searchMaxResultsPerKeyword": 15,
  "searchSort": "best_match"
}

Product Details only (ultra rich)

{
  "country": "US",
  "enableProductSearch": false,
  "enableProductDetails": true,
  "itemIds": ["13802306327", "10450124"],
  "productUrls": ["https://www.walmart.com/ip/Logitech-Silent-Wireless-Mouse-Black-Walmart-Exclusive/13802306327"]
}

Reviews (standalone)

{
  "country": "US",
  "enableProductSearch": false,
  "enableProductReviews": true,
  "reviewItemIds": ["13802306327"],
  "reviewsMaxPerProduct": 30,
  "reviewsSortBy": "newest"
}

Search + Reviews (no manual item IDs)

Automatically scrape reviews (and product ratings) for products found in search:

{
  "country": "US",
  "enableProductSearch": true,
  "enableProductReviews": true,
  "searchKeywords": ["wireless mouse"],
  "searchMaxResultsPerKeyword": 10,
  "searchScrapeReviews": true,
  "searchReviewsMaxProducts": 5,
  "reviewsMaxPerProduct": 10,
  "reviewsSortBy": "newest"
}

Review rows include searchKeyword, searchPosition, and productAverageRating when chained from search.

Deals + Best Sellers

{
  "country": "US",
  "enableProductSearch": false,
  "enableDeals": true,
  "dealsType": "rollbacks",
  "dealsMaxProducts": 50,
  "enableBestSellers": true,
  "bestSellersCategoryUrls": ["https://www.walmart.com/browse/electronics/3944_1089430"]
}

Scrape any URL(s)

{
  "country": "US",
  "enableProductSearch": false,
  "enableScrapeByUrl": true,
  "scrapeUrls": [
    "https://www.walmart.com/search?q=airpods",
    "https://www.walmart.com/ip/Some-Product/123456789"
  ],
  "scrapeMaxPages": 2
}

Combined (search + details)

When both Search and Details are enabled, Details runs first (fresh session) then Search — better PDP success on Walmart.

{
  "country": "US",
  "enableProductSearch": true,
  "searchKeywords": ["gaming mouse"],
  "searchMaxResultsPerKeyword": 5,
  "enableProductDetails": true,
  "itemIds": ["13802306327"]
}

All results land in one dataset. Use featureType (product_search, product_details, product_reviews, deals, best_sellers, category_browse, scrape_by_url) to split them.

---

Output Schema Highlights (per featureType)

Every record always has:

• featureType
• country
• url / sourceUrl
• scrapedAt (ISO string)
• itemId

product_search

position, keyword, title, brand, price, wasPrice, unitPrice, savingsPercent, rating, reviewCount, badges[], isSponsored, fulfillment signals, imageUrl, sellerName...

product_details (the big one)

See FEATURES_AND_DATA_POINTS.md for 40-60 field list. Includes specifications, dimensions, variants[], fulfillmentOptions[], imageUrls[], breadcrumbs, full seller, badges, etc.

product_reviews

rating, title, text, author, verifiedPurchase, photos[], helpfulVotes, purchasedVariant, productAverageRating, reviewCount (product total)...

When scraped via search (searchScrapeReviews): also searchKeyword, searchPosition.

deals / best_sellers / category_browse

Rich product shape + rank or dealType / discountPercent + badges.

Full schemas also live in .actor/output_schema.json and dataset views.

---

Integrations & Workflows

• Daily price + availability monitor — Search or item list + Details → webhook on change.
• Rollback alert feed — Deals feature scheduled every morning → Slack / email / Sheets.
• Local stock proxy — Track pickupToday / deliveryEstimate across proxy rotations or zip (future).
• Catalog builder — Search or category browse + Details enrichment → your DB or Shopify import.
• Review intelligence — Reviews feature + photos for sentiment or visual QA.
• Competitor tracking — Multi-item Details runs on key ASIN/item lists.

Works seamlessly with: Apify API, MCP (call-actor), webhooks, Zapier, Make, Google Sheets, Airbyte, custom Python/Node ETL, n8n, etc.

---

Proxy & CAPTCHA recommendations

Best: Apify Residential proxies with country matching (US/CA).

Local / advanced: DataImpulse residential (gw.dataimpulse.com:10000). Username routing for country (__cr.us).

CAPTCHA: Actor handles many challenges internally. 2Captcha key supported for hard cases (we tested with provided key).

Always use residential — datacenter IPs get blocked quickly on Walmart.

---

FAQ

Is Walmart harder to scrape than Amazon?
Yes — different bot protection (PerimeterX/HUMAN). We use multiple proven bypass strategies + stealth + residential proxies. Success rate is high with proper config.

How many items can I process?
Hundreds per run is realistic. For thousands, split across scheduled runs or increase memory/timeout.

Do I get variant-level pricing?
Yes — Details returns the full variants matrix with per-variant price/stock when present.

Can I get same-day pickup signals?
Yes. These are excellent real-time proxies for local availability. Results reflect the proxy's geo.

How is output structured for easy use?
One dataset. Filter by featureType. Consistent top-level keys. Timestamped.

Do I need to code?
No for Console use. Full JSON examples for API/MCP/automation above.

What about rate limits?
We rotate sessions, add delays, respect limits, and retry. Use residential + reasonable batch sizes.

---

Input Schema Reference (key fields)

See .actor/input_schema.json for the exact Console form (with sections and help text).

Core toggles (checkboxes):

• enableProductSearch (default true)
• enableProductDetails
• enableProductReviews
• enableScrapeByUrl
• enableDeals
• enableBestSellers
• enableCategoryBrowse

Key arrays:

• searchKeywords
• itemIds / productUrls (for details)
• reviewItemIds (optional when searchScrapeReviews is on)
• scrapeUrls
• categoryUrls

Search → reviews chaining:

• searchScrapeReviews — auto-fetch reviews for search result item IDs
• searchReviewsMaxProducts — cap products per keyword (default 5)

Other common:

• country
• searchMaxResultsPerKeyword, searchSort
• reviewsMaxPerProduct, reviewsSortBy
• dealsMaxProducts, dealsType
• proxyConfiguration (editor: proxy)

---

Output Example Snippet (product_details style)

{
  "featureType": "product_details",
  "country": "US",
  "itemId": "13802306327",
  "title": "Logitech Silent Wireless Mouse, Black, Walmart Exclusive",
  "brand": "Logitech",
  "price": 14.52,
  "wasPrice": null,
  "unitPrice": null,
  "savingsPercent": null,
  "rating": 4.5,
  "reviewCount": 4969,
  "badges": ["Walmart Exclusive", "Best Seller"],
  "inStock": true,
  "pickupAvailable": true,
  "pickupToday": true,
  "deliveryEstimate": "tomorrow",
  "isWalmartPlus": true,
  "sellerName": "Walmart",
  "specifications": {
    "Color": "Black",
    "Wireless Technology": "2.4 GHz",
    "DPI": "1600",
    ...
  },
  "dimensions": { "length": 4.5, "width": 2.8, "height": 1.6, "weight": 0.2, "unit": "in" },
  "variants": [...],
  "imageUrls": ["https://...", ...],
  "breadcrumbs": ["Electronics", "Computer Accessories", "Mice"],
  "url": "https://www.walmart.com/ip/.../13802306327",
  "scrapedAt": "2026-07-05T..."
}

Full fields vary by feature and page content.

---

Get Started

1. Click Try for free / Start.
2. Pick US, enable the features you want.
3. Add 1-2 test keywords or item IDs.
4. Use Residential proxy.
5. Run → explore the rich dataset.

Live Walmart data. Extremely rich structured JSON. Zero maintenance.

---

Contact Me

Need a custom scraping project, data pipeline, or web app built from scratch? I build production-grade scrapers (e-commerce, social, maps, lead gen, and more) and full-stack web applications.

• Email: dubem115@gmail.com
• GitHub: github.com/DrunkCodes

Reach out for custom Apify actors, anti-bot solutions, monitoring dashboards, APIs, or any automation you need.

---

Built with the same battle-tested patterns as Amazon Real-Time Data + Wayfair Real-Time Data, with Walmart-specific stealth and data depth.