Find Walmart products by keyword, with optional filters for price, sort order, and result limit.
MIT
650,553 tools. Updated 2026-10-14 10:52
"Walmart" matching MCP tools:
- Scrape Walmart search results from a Walmart search URL to extract product details like titles, prices, and ratings.MIT
- Look up product details by UPC, EAN, ISBN, or Walmart item ID. Returns title, brand, price, and optionally cross-retailer pricing from Amazon, eBay, and more.MIT
- Retrieve structured product listings from Google Shopping for price comparison and market research. Returns titles, prices, merchants, ratings, and links for a given search query.MIT
- Retrieve price history time series for a Walmart product by item_id, returning recorded_at, price, and in_stock samples filtered by time range.MIT
- Search Walmart for products and retrieve structured data including price, rating, and product IDs for market research.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceA MCP server for Walmart Marketplace and Affiliate APIs, enabling sellers to manage items, inventory, prices, and orders, and consumers to search, lookup products, reviews, and store locations.14 npmMIT
- AlicenseBqualityFmaintenanceEnables AI agents to search products, manage cart, and track orders on Walmart.com via browser automation.1262 npm4MIT
Matching MCP Connectors
Walmart search, product pages and customer reviews on walmart.com and walmart.ca, as JSON.
Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.
- Fetch a Walmart product's on-page review snapshot by item ID: average rating, review count, star breakdown, recommended percentage, top positive/negative reviews, and recent samples.MIT
- Search Walmart to get product listings with price, rating, and image for price comparison or product discovery.MIT
- Retrieve structured product details—name, brand, pricing, availability, specifications, images, and review summary—for a Walmart product using its product ID.MIT
- Browse and retrieve parsed products from any Walmart category using its category ID. Get structured product lists with pagination for catalog building or category monitoring.MIT
- Retrieve sourced image requirement profiles for marketplaces and social placements. Use before QA to verify specs; secondary sources explicitly marked.MIT
- Scrape Walmart product reviews by item ID or URL to analyze customer sentiment, track feedback, and filter verified purchases.MIT
- Find pre-built automation actions for a task described in natural language. Returns ranked candidates with action type, parameters, credit cost, and authentication requirements for data extraction or site interactions.Apache 2.0
- List current sellers on a Walmart product with seller ID, name, price, condition, and buybox owner flag. Compare seller prices or identify the buybox holder.MIT
- Retrieve parsed customer reviews for a Walmart product by product ID, with pagination, sorting, and filters for rating or verified purchase.MIT
- Access Amazon product data for search, categories, details, reviews, best sellers, deals, and more.MIT
- Retrieve Walmart product details—title, description, price, ratings, images, and seller info—using a product ID or URL.MIT
- Extract structured JSON data from Amazon, Walmart, Crunchbase, G2, Google Maps, and Zillow by providing a page URL and selecting the appropriate scraper.MIT
- Search Walmart storefronts by keyword or category and return filtered product results with prices, ratings, availability, fulfillment details, and facets for SERP, price, and assortment tracking.MIT
- Browse supported websites and their action counts. Pass a catalog slug to inspect full action schemas, types, auth modes, and credit costs for any site before executing actions.Apache 2.0
- Fetch normalized product data by Walmart item ID, including price, availability, brand, images, rating, seller, specs, and variants from public pages.MIT