# Walmart Product Scraper (`supermiojo/walmart-product-scraper`) Actor

Extract product data from Walmart.com search results — prices, ratings, reviews, and images. Perfect for price monitoring, competitive analysis, and dropshipping.

- **URL**: https://apify.com/supermiojo/walmart-product-scraper.md
- **Developed by:** [Igor Araujo](https://apify.com/supermiojo) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🛒 Walmart Product Scraper

Extract product data from Walmart.com search results. Get product names, prices, ratings, review counts, images, and URLs — perfect for price monitoring, competitive analysis, market research, and dropshipping.

### Features

- 🔍 **Search-based scraping** — enter any search query (e.g. "laptop", "coffee maker", "lego")
- 💰 **Real-time pricing** — current Walmart.com prices
- ⭐ **Ratings & reviews** — average star rating and review counts
- 📸 **Product images** — thumbnail URLs for each product
- 🔗 **Direct links** — clean Walmart product URLs
- 📄 **JSON output** — structured data ready for CSV/Excel export or API integrations

### Use Cases

- **Price monitoring** — track product prices over time for competitive intelligence
- **Market research** — analyze product catalogs, pricing patterns, and availability
- **Dropshipping** — source product data for your e-commerce store
- **Competitive analysis** — compare product offerings across retailers
- **Data enrichment** — supplement your product database with live Walmart data

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `query` | string | Product search term (required) | — |
| `maxResults` | integer | Max products to return (1-500) | 100 |
| `maxPages` | integer | Max search pages (1-10) | 5 |

### Output

Each result contains:

- `title` — product name
- `price` — current price (e.g. "$19.99")
- `rating` — average star rating
- `reviews` — number of reviews
- `url` — Walmart product page URL
- `imageUrl` — product image URL
- `query` — the search query used

### Pricing

Pay-per-result pricing at $0.002 per product scraped. Only pay for what you use — no monthly fees.

### Example

```json
{
  "query": "wireless headphones",
  "maxResults": 50
}
```

***

**Keywords**: walmart scraper, walmart product data, walmart price scraper, e-commerce data, product search api, retail data extraction, walmart api alternative, price monitoring, competitive intelligence, dropshipping

# Actor input Schema

## `query` (type: `string`):

Product search term to scrape from Walmart.com (e.g. 'laptop', 'coffee maker', 'lego')

## `maxResults` (type: `integer`):

Maximum number of product results to return (1-500)

## `maxPages` (type: `integer`):

Maximum search result pages to scrape (1-10)

## Actor input object example

```json
{
  "query": "laptop",
  "maxResults": 100,
  "maxPages": 5
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "laptop"
};

// Run the Actor and wait for it to finish
const run = await client.actor("supermiojo/walmart-product-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": "laptop" }

# Run the Actor and wait for it to finish
run = client.actor("supermiojo/walmart-product-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "laptop"
}' |
apify call supermiojo/walmart-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=supermiojo/walmart-product-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/57mbBM7yFlRiLm4c8/builds/ZBPfmInLKtqwyeGiC/openapi.json