Walmart.com Product Search & Price Filter Scraper

Search Walmart.com by keyword and filter results by price, rating, review count, free shipping, stock status, brand or seller, with sponsored placements flagged apart from organic results.

Open in Apify Store$0.99 / 1K on Free

Short answer

Walmart.com Product Search & Price Filter Scraper is an Apify Store Actor for Walmart data that returns 15 published output fields, including name, price, rating, sellerName. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 22 input settings, none required. It covers 5 of the 6 core Walmart fields this site tracks. Last updated Nov 8, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Walmart EcommerceAutomationLead generation

What it returns

15 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • name
  • price
  • rating
  • reviewCount
  • brand
  • sellerName
  • availability
  • productUrl
  • scrapedAt
  • productName
  • title
  • reviewText
  • author
  • reviewDate
  • verifiedPurchase

Not in the schema among the core Walmart fields: product_id. The field matrix shows which other tools return them.

Input

SettingTypeRequiredDefaultWhat it does
mode string No search What to scrape: keyword search, a category shelf, full product pages, or customer reviews.
searchQueries array No ["iphone case"] One or more keywords to search on walmart.com (mode = search). Each query is walked page by page.
categoryUrls array No [] Walmart category links starting with /browse/ or /cp/ (mode = browse), e.g. https://www.walmart.com/browse/electronics/3944.
productUrls array No [] Walmart product links (mode = products or reviews), e.g. https://www.walmart.com/ip/20042402979. Short /ip/ links and alphanumeric product IDs also work.
itemIds array No [] Walmart numeric item IDs (the number at the end of a product link), one per line (mode = products or reviews).
maxItems integer No 50 Hard cap on emitted records for the whole run. In review mode this caps review rows.
maxPages integer No 5 Maximum search or category pages to walk per query/URL (about 40 products per page). Walmart caps its own listing at 25 pages.
sortBy string No best_match Walmart listing order for search and browse modes.
minPrice number No – Only keep products at or above this price. Applied by Walmart's own price filter.
maxPrice number No – Only keep products at or below this price. Applied by Walmart's own price filter.
Show the other 12 settings
SettingTypeRequiredDefaultWhat it does
minRating number No – Only keep products rated at least this (0-5). Products with no rating yet are kept.
minReviewCount integer No – Only keep products with at least this many reviews. Products with no review count are kept.
freeShippingOnly boolean No false Only keep products with free shipping. Search/browse rows are automatically enriched from product pages so this filter is accurate.
excludeOutOfStock boolean No true Drop products Walmart marks out of stock.
excludeSponsored boolean No false Drop paid/sponsored placements and keep organic search results only.
brands array No [] Only keep these brands, using Walmart's own brand filter. Enter names exactly as Walmart shows them, e.g. DEWALT.
sellerContains string No – Only keep products whose seller name contains this text (case-insensitive), e.g. Walmart, Pro Seller.
facet string No – Any Walmart listing facet as type:value, e.g. retailer_type:Walmart, special_offers:Rollback, customer_rating_range_facet_new_filter_v0:4 - 5 Stars, exclude_oos:Show available items only.
enrichDetails boolean No false Open each search/browse product page to add brand, UPC, model, description, specifications, images, return policy and review breakdown. Slower and uses more requests.
maxConcurrency integer No 4 How many product or review pages to fetch at the same time (1-10). Higher is faster but more aggressive.
maxReviews integer No 10 Maximum customer reviews to read per product in review mode. Walmart only publishes reviews that contain text.
reviewSort string No relevancy How Walmart should order customer reviews.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "searchQueries": [
    "iphone case"
  ],
  "categoryUrls": [],
  "productUrls": [],
  "itemIds": [],
  "maxItems": 3,
  "maxPages": 1,
  "sortBy": "best_match",
  "freeShippingOnly": false,
  "excludeOutOfStock": true,
  "excludeSponsored": false,
  "brands": [],
  "enrichDetails": false,
  "maxConcurrency": 4,
  "maxReviews": 5,
  "reviewSort": "relevancy"
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQueries": [
        "iphone case"
    ],
    "categoryUrls": [],
    "productUrls": [],
    "itemIds": [],
    "maxItems": 3,
    "maxPages": 1,
    "sortBy": "best_match",
    "freeShippingOnly": False,
    "excludeOutOfStock": True,
    "excludeSponsored": False,
    "brands": [],
    "enrichDetails": False,
    "maxConcurrency": 4,
    "maxReviews": 5,
    "reviewSort": "relevancy"
}

run = client.actor("vexaloom-labs/walmart-com-product-search-and-price-filter").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQueries": [
        "iphone case"
    ],
    "categoryUrls": [],
    "productUrls": [],
    "itemIds": [],
    "maxItems": 3,
    "maxPages": 1,
    "sortBy": "best_match",
    "freeShippingOnly": false,
    "excludeOutOfStock": true,
    "excludeSponsored": false,
    "brands": [],
    "enrichDetails": false,
    "maxConcurrency": 4,
    "maxReviews": 5,
    "reviewSort": "relevancy"
};

const run = await client.actor("vexaloom-labs/walmart-com-product-search-and-price-filter").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~walmart-com-product-search-and-price-filter/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQueries":["iphone case"],"categoryUrls":[],"productUrls":[],"itemIds":[],"maxItems":3,"maxPages":1,"sortBy":"best_match","freeShippingOnly":false,"excludeOutOfStock":true,"excludeSponsored":false,"brands":[],"enrichDetails":false,"maxConcurrency":4,"maxReviews":5,"reviewSort":"relevancy"}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/walmart-com-product-search-and-price-filter",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Walmart routes

It ranks 1 of 1 catalogue Actors for Walmart on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

Route diagram for Walmart dataWalmart.com Product Search & Price Filter Scraper: stops at 5 of the 10 fields shown; Other Store tools (8): stops at 10 of the 10 fields shown; Walmart Marketplace and Affiliate APIs: partner, field coverage not compared.Walmartproduct idtitlepricesellerratingurlaverageRatingcategorycurrencyimage1+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: Walmart Marketplace and Affiliate APIs

Partner only. Walmart offers seller and affiliate APIs. General product catalog access is not published as an open API.

Partner/affiliate terms apply.

Official documentation

Other Store tools for Walmart

Reference only, from their public listings.

ToolFieldsPrice / 1K
Walmart Product Scraper57$1.50
Walmart Mexico Product & Price Data Scraper26$3.00
Walmart Product & Reviews Scraper11$4.50
Walmart Product Scraper44$4.60
Walmart Scraper: Products, Prices, Sellers, Stock & Reviews11$4.00

What people use it for

  • Find filtered products
  • Track prices and availability
  • Analyze customer reviews

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Questions people ask

How much does Walmart.com Product Search & Price Filter Scraper cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Walmart.com Product Search & Price Filter Scraper return?

Its published output schema lists 15 fields: name, price, rating, reviewCount, brand, sellerName, availability, productUrl, scrapedAt, productName, title, reviewText, and 3 more. A listed field is not guaranteed to be filled in every row.

What input does Walmart.com Product Search & Price Filter Scraper need?

No input is strictly required; the defaults run as is. Common settings: mode, searchQueries, categoryUrls, productUrls, itemIds, maxItems.

How do I run Walmart.com Product Search & Price Filter Scraper from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/walmart-com-product-search-and-price-filter").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/walmart-com-product-search-and-price-filter").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~walmart-com-product-search-and-price-filter/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-08 Data synced 2026-11-12
Cite this page

Scraper Finder. "Walmart.com Product Search & Price Filter Scraper." https://scraperfinder.com/catalogue/walmart-com-product-search-and-price-filter/ (data checked 2026-11-12).

Run Walmart.com Product Search & Price Filter Scraper

$0.99 per 1,000 results. Paste the example input above, set your Walmart query, then export the dataset. Still choosing? Compare every Walmart route.

Open in Apify Store