# Walmart search monitor: weekly, only the new products

**Use case:** 

A weekly watch on one Walmart search (tshirt): the first 100 products of the list read each run, each from its own page. The first run delivers every product; each later run delivers and charges only the products no earlier run of this memory delivered, with first_seen_at and times_seen on each row; the free search row counts the skipped (skipped_seen). Nothing new, nothing charged.

## Input

```json
{
  "startUrls": [
    "https://www.walmart.com/search?q=tshirt"
  ],
  "maxItemsPerSearch": 100,
  "includeDetails": true,
  "onlyNew": true,
  "stateStoreName": "",
  "maxItems": 50
}
```

## Output

```json
{
  "row_type": {
    "label": "Row type",
    "format": "string"
  },
  "input_index": {
    "label": "Input #",
    "format": "integer"
  },
  "input_value": {
    "label": "Input",
    "format": "string"
  },
  "input_kind": {
    "label": "Input kind",
    "format": "string"
  },
  "search_url": {
    "label": "Search URL",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "status_detail": {
    "label": "Status detail",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  },
  "position": {
    "label": "Position",
    "format": "integer"
  },
  "page": {
    "label": "Page",
    "format": "integer"
  },
  "item_id": {
    "label": "Item ID",
    "format": "string"
  },
  "product_id": {
    "label": "Product ID",
    "format": "string"
  },
  "url": {
    "label": "Product URL",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "was_price": {
    "label": "Was-price",
    "format": "number"
  },
  "unit_price": {
    "label": "Unit price",
    "format": "string"
  },
  "availability": {
    "label": "Availability",
    "format": "string"
  },
  "seller_name": {
    "label": "Seller",
    "format": "string"
  },
  "seller_id": {
    "label": "Seller ID",
    "format": "string"
  },
  "seller_type": {
    "label": "Seller type",
    "format": "string"
  },
  "fulfillment_type": {
    "label": "Fulfillment",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "review_count": {
    "label": "Reviews",
    "format": "integer"
  },
  "rating_counts": {
    "label": "Rating counts",
    "format": "object"
  },
  "image_url": {
    "label": "Image",
    "format": "string"
  },
  "image_urls": {
    "label": "Image URLs",
    "format": "array"
  },
  "category_path": {
    "label": "Category path",
    "format": "string"
  },
  "upc": {
    "label": "UPC",
    "format": "string"
  },
  "model_number": {
    "label": "Model number",
    "format": "string"
  },
  "short_description": {
    "label": "Description",
    "format": "string"
  },
  "specifications": {
    "label": "Specifications",
    "format": "array"
  },
  "variant_options": {
    "label": "Variant options",
    "format": "object"
  },
  "variants_count": {
    "label": "Variants",
    "format": "integer"
  },
  "sponsored": {
    "label": "Sponsored",
    "format": "boolean"
  },
  "details_status": {
    "label": "Details",
    "format": "string"
  },
  "first_seen_at": {
    "label": "First seen",
    "format": "string"
  },
  "last_seen_at": {
    "label": "Last seen",
    "format": "string"
  },
  "times_seen": {
    "label": "Times seen",
    "format": "integer"
  },
  "items_count": {
    "label": "Products (Walmart's count)",
    "format": "integer"
  },
  "items_delivered": {
    "label": "Products delivered",
    "format": "integer"
  },
  "pages_read": {
    "label": "Pages read",
    "format": "integer"
  },
  "repeats_skipped": {
    "label": "Repeats skipped",
    "format": "integer"
  },
  "skipped_seen": {
    "label": "Skipped (seen before)",
    "format": "integer"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "verdict_detail": {
    "label": "Verdict detail",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Walmart Products Scraper: Prices, Sellers, Ratings & Images Actor is ready to run with the inputs already set for "Walmart search monitor: weekly, only the new products". [Sign up or log in](https://console.apify.com/create-task-from-example/UyiNxQ8MwV343qp0a) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Walmart search monitor: weekly, only the new products" task

The Walmart Products Scraper: Prices, Sellers, Ratings & Images Actor will start running based on the input automatically. You can also change all the input fields, like walmart urls, max products per search or category, and more, to match your specific use case.

### 3. Receive the "Walmart search monitor: weekly, only the new products" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, input #, input, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Walmart search monitor: weekly, only the new products" task via API](https://apify.com/hyperbach/walmart-scraper.md).

## About this Actor

This example demonstrates how to use [Walmart Products Scraper: Prices, Sellers, Ratings & Images](https://apify.com/hyperbach/walmart-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/walmart-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/walmart-scraper.md

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`).