Walmart Product Scraper · Fast Go HTTP

The NanoScrape Walmart Scraper is an Apify actor that extracts product listings and prices from walmart.com. It returns 53 fields per result including title, description, categoryPath, itemId, url, priced at $1.3/1k product, with no API key or monthly subscription required.

Extract Walmart.com product data by URL or item ID (source platform). Returns price, list price, stock, ratings, seller (1P/3P), shipping, images, variants, specs, and 30+ more fields. Datacenter proxy rotation, pay-per-result.

What you can scrape — 53 fields per result

Input example — showcase (full detail)

{
  "startUrls": [
    {
      "url": "https://www.walmart.com/ip/Great-Value-Whole-Vitamin-D-Milk-1-Gallon-128-fl-oz/10450114"
    },
    {
      "url": "https://www.walmart.com/ip/Apple-AirPods-Pro-Wireless-Earbuds-MagSafe-Case-USB-C/5689919121"
    }
  ],
  "itemIds": [],
  "language": "en-US",
  "maxItems": 0,
  "scrapeReviewSample": true,
  "scrapeVariants": true,
  "concurrency": 5
}

Cost math

Priced at $0.0013 per product. 10 products ≈ $0.01, 100 ≈ $0.13, 1,000 ≈ $1.30. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run walmart-scraper in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~walmart-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/walmart-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/walmart-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/walmart-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/walmart-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/walmart-scraper

Example prompt once connected:

"Use <code>walmart-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

FAQ

Related actors in this category

Related tutorials

• How to Scrape Walmart Product Data: Prices, Stock, and Reviews - Step-by-step tutorial for the walmart-scraper actor.

Actor v1.0.7 · Maintained by NanoScrape (santamaria-automations on Apify)