# Walmart Scraper — Product Prices, Ratings & Stock (`hichemdev/walmart-scraper`) Actor

Scrape Walmart products by search term: price, was-price, rating, review count, brand, seller, availability and images. No login.

- **URL**: https://apify.com/hichemdev/walmart-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** E-commerce, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 products

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 Scraper — Product Prices, Ratings & Stock

Scrape **Walmart product listings** by search term or category URL — **price, was-price, rating, review count, brand, seller, availability and images**. No login, no API key.

Walmart bot-checks non-browser traffic. This actor drives a **fingerprinted real browser over residential proxies**, so it gets through and returns clean, structured product data with **live prices**.

### What you can do with it

- 💰 **Price monitoring & repricing** — track competitor pricing on a schedule
- 📊 **E-commerce market research** — assortment, pricing tiers, ratings
- 🏷️ **Deal / discount tracking** — `price` vs `wasPrice` reveals active markdowns
- 📦 **Stock monitoring** — availability status per item

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchTerm` | string | Product to search, e.g. `laptop`, `coffee maker`. |
| `startUrls` | array | Walmart search/category URLs with your own filters. Overrides the term. |
| `maxItems` | integer | Maximum products to scrape. |
| `proxyConfiguration` | object | **Residential required** (Walmart bot-checks datacenter IPs). |

#### Example

```json
{ "searchTerm": "coffee maker", "maxItems": 100 }
```

### Output

```json
{
  "id": "5689919121",
  "name": "HP Chromebook x360 14 inch FHD Touchscreen Laptop",
  "brand": "HP",
  "price": 219,
  "priceText": "$219.00",
  "wasPrice": 299,
  "currency": "USD",
  "rating": 4.4,
  "reviewCount": 5582,
  "availability": "IN_STOCK",
  "seller": "Walmart.com",
  "isSponsored": false,
  "image": "https://i5.walmartimages.com/....jpeg",
  "url": "https://www.walmart.com/ip/5689919121"
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- A **residential proxy is required** — Walmart blocks datacenter IPs. The actor rotates fingerprints + IPs and retries automatically.
- Prices are read from the rendered page (Walmart withholds them from its embedded JSON), so they match exactly what shoppers see.
- `wasPrice` is present only when the item is currently discounted.
- Paginates automatically up to `maxItems`.

# Actor input Schema

## `searchTerm` (type: `string`):

Product to search for, e.g. "laptop", "coffee maker", "running shoes".

## `startUrls` (type: `array`):

Walmart search or category URLs with your own filters. Overrides the search term.

## `maxItems` (type: `integer`):

Maximum number of products to scrape.

## `proxyConfiguration` (type: `object`):

Residential proxy is REQUIRED — Walmart bot-checks datacenter IPs.

## Actor input object example

```json
{
  "searchTerm": "laptop",
  "startUrls": [],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchTerm": "laptop",
    "startUrls": [],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/walmart-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 = {
    "searchTerm": "laptop",
    "startUrls": [],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/walmart-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 '{
  "searchTerm": "laptop",
  "startUrls": [],
  "maxItems": 10
}' |
apify call hichemdev/walmart-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/q6cB4dLZQqfekaKcw/builds/AMhnl4ddzLeKXRXtX/openapi.json