# Walmart Search Scraper - Prices, Ratings, Sellers (`resolver/walmart-search-scraper`) Actor

Scrape Walmart search and category results: product name, price, was-price, rating, reviews, seller, stock status, badges and URL. Fast and reliable, no browser.

- **URL**: https://apify.com/resolver/walmart-search-scraper.md
- **Developed by:** [Resolver Data](https://apify.com/resolver) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.50 / 1,000 products

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Walmart Search Scraper

Scrape **Walmart.com search and category results** into a clean table: price, was-price, rating, review count, seller, stock status, badges (Rollback, Best seller) and product URL. No browser, no login.

### What you get

| Field | Example |
|---|---|
| name | Beautiful 6 Qt Air Fryer with TurboCrisp Technology |
| price / wasPrice | 59 / 79 |
| rating / reviews | 4.6 / 20070 |
| seller | Walmart.com |
| availability | IN_STOCK |
| sponsored | false |
| badges | Rollback |
| url | https://www.walmart.com/ip/.../16101019328 |
| image, page, position, scrapedAt | |

### Use cases

- **Price monitoring:** track competitors' prices and Rollbacks every day.
- **Product research:** find best sellers and highly rated products in any niche.
- **Marketplace sellers:** see who sells what, at what price, and how it ranks.

### How to use

1. Enter one or more search words, or paste Walmart search/category URLs.
2. Optionally pick a sort order and a price range.
3. Run, then export to CSV, Excel, JSON or Google Sheets, or schedule daily runs.

### Pricing

Pay per result: **$2.50 per 1,000 products**. No monthly fee.

### Reliability

Real-browser network fingerprint, US residential proxy, a fresh session on every retry, and a skipped page never fails your whole run.

### Notes

Collects only public product listing data. Use it in line with Walmart's terms and applicable laws.

# Actor input Schema

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

Words to search on Walmart.com, e.g. 'air fryer', 'running shoes'.

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

Optional. Paste any walmart.com search, category or browse URL (filters in the URL are kept).

## `maxItemsPerQuery` (type: `integer`):

Stop after this many products for each query or URL.

## `sort` (type: `string`):

Order of results, same as the sort menu on Walmart.com.

## `minPrice` (type: `integer`):

Optional minimum price filter.

## `maxPrice` (type: `integer`):

Optional maximum price filter.

## `includeSponsored` (type: `boolean`):

Keep products marked as sponsored (ads) in the results.

## `useProxy` (type: `boolean`):

Needed on the Apify platform: Walmart blocks datacenter IPs.

## Actor input object example

```json
{
  "queries": [
    "air fryer"
  ],
  "maxItemsPerQuery": 100,
  "sort": "best_match",
  "includeSponsored": true,
  "useProxy": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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": [
        "air fryer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("resolver/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": ["air fryer"] }

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

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "air fryer"
  ]
}' |
apify call resolver/walmart-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,resolver/walmart-search-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ppa9jAxulihnxFYPa/builds/Jm9Bf1yn21RW5HWJd/openapi.json