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

Walmart keyword search results -- price, rating, fulfillment.

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

## Pricing

from $0.50 / 1,000 search results

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?

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 by keyword** and export **product ID, title, price, rating, seller, fulfillment flags, thumbnail, and product URL**. One dataset row per listing — ready for CSV, Excel, or JSON.

Built for Apify Console, API, MCP agents, and integrations (Make, Zapier, n8n). This Actor searches Walmart. It does not open product-detail pages or pull reviews.

### What you get

| Field | Example |
| --- | --- |
| `title` | OtterBox Defender Series Case for iPhone |
| `productId` | 833623567 |
| `url` | https://www.walmart.com/ip/833623567 |
| `price` | 31.95 |
| `rating` | 4.6 |
| `reviewsCount` | 428 |
| `isSponsored` | false |
| `shipping` | true |
| `thumbnailUrl` | https://i5.walmartimages.com/seo/…jpeg |

One keyword on page 1 typically returns **~20–40 listings**. Extra pages add more rows.

### How to run

1. Open the Actor in Apify Console.
2. Enter one search phrase per line under **Search keywords**.
3. Optional: marketplace, pages, sort, deliver-to ZIP, fulfillment, max results.
4. Click **Start**. Open the **Output** tab when the run finishes.

#### Example input

```json
{
  "keywords": ["iphone case"],
  "domain": "com",
  "pages": 1,
  "maxResults": 20,
  "sortBy": "best_match"
}
```

#### API

```bash
curl -X POST "https://api.apify.com/v2/acts/datacortex~walmart-search-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["iphone case"],"domain":"com","pages":1}'
```

Replace `YOUR_TOKEN` with an Apify API token.

### Use with MCP / agents

This is a normal Apify Actor. Agents call it through [Apify MCP](https://docs.apify.com/integrations/mcp) — you do not run a separate MCP process.

Pin this Actor as a tool (after it is public):

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=datacortex/walmart-search-scraper"
    }
  }
}
```

The agent should `fetch-actor-details` on `datacortex/walmart-search-scraper`, then run it with the same JSON as **Example input** above. Running Actors requires an Apify token (OAuth in the client, or `Authorization: Bearer <APIFY_TOKEN>`).

### Pricing

**$0.50 per 1,000 results** + $0.001 per run.

| Event | When it fires | Price |
| --- | --- | --- |
| `apify-actor-start` | Once when the run starts | **$0.001** |
| `apify-default-dataset-item` | Once per dataset row (one listing) | **$0.0005** ($0.50 / 1,000) |

| Job | Rows | You pay |
| --- | --- | --- |
| 1 keyword, 1 page (~20) | 20 | $0.001 + $0.010 = **$0.011** |
| 10 keywords, 1 page | ~200 | $0.001 + $0.100 = **$0.101** |
| 1 keyword, ~700 listings | 700 | $0.001 + $0.350 = **$0.351** |

Set a **max total charge per run** so a long keyword list cannot overrun budget. The Actor stops when that limit is reached.

### Input reference

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `keywords` | yes | — | One phrase per line, max 1,000 |
| `domain` | no | `com` | `com`, `ca`, `com.mx`, `co.cr` |
| `pages` | no | `1` | 1–10 result pages per keyword |
| `maxResults` | no | all | Hard cap across every keyword |
| `sortBy` | no | best match | Best match, price, best seller |
| `deliveryZip` | no | — | ZIP / postal code, e.g. `10001` |
| `fulfillmentType` | no | — | `pickup`, `delivery`, or `shipping` |

### Limitations

- Search-result cards only. This Actor does **not** fetch full product details or customer reviews.
- Prices and fulfillment flags are what Walmart showed for the chosen marketplace / ZIP.
- Duplicate product IDs across pages are kept once.
- Failed keywords write one `type: "error"` row so you can see which term failed.

### Local development

```bash
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
apify run --input-file=apify_input.json --purge
```

### Changelog

See [CHANGELOG.md](CHANGELOG.md).

# Actor input Schema

## `keywords` (type: `array`):

One Walmart search phrase per line. Example: `iphone case`.

## `domain` (type: `string`):

Walmart marketplace. `com` is walmart.com (US).

## `pages` (type: `integer`):

How many result pages to fetch per keyword. Each extra page is a separate lookup and adds more rows (and PPE charges).

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

Stop after this many dataset rows across all keywords. Leave empty to keep every listing returned.

## `sortBy` (type: `string`):

Walmart search sort order.

## `deliveryZip` (type: `string`):

Optional ZIP / postal code so price and fulfillment match that area. Example: `10001`.

## `fulfillmentType` (type: `string`):

Optional fulfillment filter. US supports pickup, delivery, and shipping.

## Actor input object example

```json
{
  "keywords": [
    "iphone case"
  ],
  "domain": "com",
  "pages": 1
}
```

# Actor output Schema

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

Dataset of flattened Walmart search listings.

# 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 = {
    "keywords": [
        "iphone case"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datacortex/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 = { "keywords": ["iphone case"] }

# Run the Actor and wait for it to finish
run = client.actor("datacortex/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 '{
  "keywords": [
    "iphone case"
  ]
}' |
apify call datacortex/walmart-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datacortex/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/w4XKiOb2usef8bDsE/builds/kyJUjHjJjxvmgNZPA/openapi.json