# Walmart Product Scraper - Prices, Ratings & Stock (`chrisp1211/walmart-scraper-max`) Actor

Scrape Walmart products by search term: name, price, was-price, rating, review count, item ID, image, brand and stock status. For price monitoring and competitor research. No API key, no proxy setup. Pay per product; empty runs free.

- **URL**: https://apify.com/chrisp1211/walmart-scraper-max.md
- **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 - Prices, Ratings & Stock

Scrape data. No API key.

Sample record:

```json
{
  "type": "product",
  "scrapedAt": "2026-07-12T00:00:00.000Z",
  "id": "12516374178",
  "usItemId": "12516374178",
  "name": "Keurig K-Express Essentials Black Single-Serve K-Cup Pod Coffee Maker",
  "brand": null,
  "price": 49.47,
  "wasPrice": 54.97,
  "currency": "USD",
  "rating": 4.4,
  "reviewsCount": 9054,
  "availability": "In stock",
  "isSponsored": false,
  "seller": "Walmart.com",
  "url": "https://www.walmart.com/ip/KEE-BLACK-GEN-2/12516374178?classType=VARIANT&athbdg=L1300",
  "image": "https://i5.walmartimages.com/seo/KEE-BLACK-GEN-2_70d03917-65f9-480f-8391-aade09ee61ca.c44d2b2f723cb1529a4c181faed76958.jpeg?odnHeight=180&odnWidth=180&odnBg=FFFFFF",
  "query": "coffee maker",
  "page": 1
}
```

### Why choose this Walmart product scraper

- **No API key, no proxy setup** — it works out of the box; you never manage keys or residential proxies.
- **Pay only for results** — pay-per-result pricing, no monthly subscription, and failed or empty runs are always free.
- **Reliable by design** — rotating premium proxies and automatic retries work around blocks so runs come back with data.
- **Export anywhere** — JSON, CSV, Excel, or Google Sheets, plus API, scheduler, and webhooks on the Apify platform.

If you are comparing Walmart product scraper options or want a simpler, cheaper alternative to Walmart scraping APIs and paid monitoring tools, this actor gives you clean data on demand — no setup, no lock-in.

### Popular use cases

- **Cross-retailer price comparison** — line up Walmart against Amazon for the same products.
- **E-commerce pricing** — monitor prices, ratings, and stock across search terms.
- **Product research** — evaluate demand and competition before listing.
- **Catalog enrichment** — build clean product records for analysis or your storefront.

### Related scrapers

Part of a connected toolkit — combine them for richer datasets:

- [Amazon Product Scraper](https://apify.com/chrisp1211/amazon-scraper-max)
- [Google Maps Scraper](https://apify.com/chrisp1211/google-maps-scraper-max)

### Frequently asked questions

**How do I scrape Walmart product data?**

Enter search terms, set a result limit, and run. You get prices, ratings, review counts, and stock as structured rows — export to CSV/Excel/Sheets or the API.

**Do I need a Walmart API key or proxies?**

No. It works out of the box with no key and no proxy configuration.

**How much does it cost?**

Pay per product returned, no monthly fee. Empty runs are free.

# Actor input Schema

## `searchTerms` (type: `array`):

Walmart search queries to scrape, one product feed per term. Each term is URL-encoded into https://www.walmart.com/search?q=...

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

Maximum number of products to return for each search term. The scraper pages through results (~40-60 products per page) until this many are collected or results run out.

## `maxCostUsd` (type: `integer`):

HARD budget cap. The run stops cleanly before exceeding this.

## Actor input object example

```json
{
  "searchTerms": [
    "coffee maker",
    "laptop"
  ],
  "maxResults": 20
}
```

# 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 = {
    "searchTerms": [
        "coffee maker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("chrisp1211/walmart-scraper-max").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 = { "searchTerms": ["coffee maker"] }

# Run the Actor and wait for it to finish
run = client.actor("chrisp1211/walmart-scraper-max").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 '{
  "searchTerms": [
    "coffee maker"
  ]
}' |
apify call chrisp1211/walmart-scraper-max --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=chrisp1211/walmart-scraper-max",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/IQMmdDUdEN9VGCrIn/builds/5KZweFzlcyerzR0rF/openapi.json