# Walmart Search Scraper (`bgfc97/walmart-search-scraper`) Actor

Search Walmart.com and get products: name, price, brand, rating, reviews, seller, link and image. Uses Apify Residential Proxy. For price monitoring and product research.

- **URL**: https://apify.com/bgfc97/walmart-search-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** E-commerce, Business, Marketing
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 searches

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 Search Scraper

Search **Walmart.com** and export the products for any keyword: name, price, brand, rating, review count, seller, product link and image. Uses **Apify Residential Proxy** to load results reliably.

### What you get per product

- 🏷️ Product name and brand
- 💲 Price
- ⭐ Rating and number of reviews
- 🏪 Seller
- 🔗 Product URL and 🖼️ image

### Use cases

- **Price monitoring** — track how a product or category is priced on Walmart.
- **Product & market research** — see what ranks for a keyword and how it's rated.
- **Competitor & assortment analysis** — compare brands, sellers and price bands.
- **Dropshipping / retail arbitrage** — find products and margins.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `queries` | array | Search terms, e.g. `["air fryer", "wireless earbuds"]`. |
| `maxResults` | integer | Max products to collect per query. |

#### Example input

```json
{ "queries": ["air fryer"], "maxResults": 40 }
```

### Output

```json
{
  "query": "air fryer", "position": 1,
  "name": "Ninja 4-Qt. Air Fryer", "brand": "Ninja",
  "price": 79.99, "rating": 4.7, "reviews": 12043,
  "seller": "Walmart.com",
  "url": "https://www.walmart.com/ip/...", "image": "https://i5.walmartimages.com/..."
}
```

Export to JSON, CSV, Excel or Google Sheets, or read it via the Apify API.

### Tips

- Start with a low `maxResults` to preview, then scale up.
- The account running the Actor pays for the residential proxy it uses.

### FAQ

**Why residential proxy?** Walmart blocks datacenter traffic; residential IPs load results reliably.

**How am I charged?** Pay per result (per product returned).

# Actor input Schema

## `queries` (type: `array`):

Product searches. Example: laptop, coffee maker.

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

Max products per query (1-100).

## Actor input object example

```json
{
  "queries": [
    "coffee maker",
    "laptop"
  ],
  "maxResults": 40
}
```

# 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 = {
    "queries": [
        "coffee maker",
        "laptop"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/walmart-search-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 = { "queries": [
        "coffee maker",
        "laptop",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/walmart-search-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 '{
  "queries": [
    "coffee maker",
    "laptop"
  ]
}' |
apify call bgfc97/walmart-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/walmart-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bTaVYFyanqVhCcePu/builds/pXK63VXz8cGhTA1IM/openapi.json