# Walmart Seller Analyzer | Sales & Revenue | $5/1K (`apivault_labs/walmart-seller-revenue-product-opportunity-analyzer`) Actor

Walmart Seller Analyzer estimates competitor sales, revenue, profit, and product opportunities. Run bulk Walmart seller and product research with no login or cookies. Pay per result from $5/1K products. Export Walmart data to CSV, JSON, Excel, API, or webhooks.

- **URL**: https://apify.com/apivault\_labs/walmart-seller-revenue-product-opportunity-analyzer.md
- **Developed by:** [Apivault Labs](https://apify.com/apivault_labs) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 product analyzeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Seller Analyzer — revenue, profit and product opportunity research](https://api.apify.com/v2/key-value-stores/u4YZtIlXXYEybGzl4/records/walmart-seller-analyzer-hero-v1.png)

## Walmart Seller Analyzer — Sales, Revenue & Product Research

Walmart Seller Analyzer estimates competitor sales, revenue, profit, and product opportunities from public marketplace signals—no Walmart Seller Center login or cookies required.

Run bulk Walmart seller analysis, inspect individual Walmart products, or rank an entire product niche. Pay only for successfully analyzed products from **$5 per 1,000**, then export the Walmart research to CSV, JSON, Excel, API, or webhooks.

### What you get

- monthly unit, revenue, and profit estimates with `low / mid / high` ranges;
- seller portfolio summary across collected storefront products;
- product opportunity scores with readable reasons;
- price, old price, savings, seller, storefront, rating, reviews, availability, WFS, badges, sponsored status, and fulfillment location;
- modeled margin and ROI using your COGS, shipping, WFS, advertising, and refund assumptions;
- structured Dataset output downloadable as JSON, CSV, Excel, XML, or RSS and available through the Apify API.

### Analysis modes

#### Seller revenue

Provide one or more public Walmart seller storefront URLs. The Actor collects the visible catalog, analyzes selected product pages, returns product rows, and adds a free `seller_summary` row.

```json
{
  "mode": "seller",
  "sellerUrls": ["https://www.walmart.com/global/seller/101644973"],
  "maxProductsPerSeller": 25,
  "maxDetailedProducts": 10
}
```

#### Product analysis

Provide Walmart product URLs or numeric item IDs.

```json
{
  "mode": "product",
  "productIds": ["16954719851"],
  "costOfGoodsPercent": 30,
  "refundRatePercent": 2
}
```

#### Niche opportunity

Search Walmart keywords and rank visible products using the Actor's internal opportunity model.

```json
{
  "mode": "niche",
  "searchQueries": ["air fryer"],
  "maxResultsPerQuery": 40,
  "maxDetailedProducts": 10,
  "postalCode": "95829"
}
```

### Example product fields

```json
{
  "rowType": "product",
  "usItemId": "16954719851",
  "sellerName": "Example seller",
  "price": 99.99,
  "estimatedMonthlyUnitsLow": 40,
  "estimatedMonthlyUnitsMid": 90,
  "estimatedMonthlyUnitsHigh": 210,
  "estimatedMonthlyRevenueMid": 8999.10,
  "estimatedMonthlyProfitMid": 4100.00,
  "opportunityScore": 72,
  "confidence": "medium"
}
```

### Pricing

- Actor start: **$0.01 per run**.
- Product analyzed: **$0.005 on FREE**, decreasing by plan to **$0.002 on DIAMOND**.
- Equivalent starting price: **$5 per 1,000 successfully analyzed products**.
- Failed and skipped products are free.
- Seller summary rows are free.
- Apify platform and proxy usage is paid separately by the user.

Start with 3–10 products to validate a target and estimate the cost of a larger run.

### Accuracy and location

Walmart does not disclose competitors' exact sales. The Actor returns ranges and confidence from an internal multi-signal estimation model. The public output intentionally does not expose model weights, calibration rules, or source-specific calculation details.

Walmart price, offers, stock, and delivery can depend on ZIP code and store. Results include the requested location and the location actually observed on the product page. If they differ, treat the observed location as authoritative for that row.

### Profit assumptions

Profit is a scenario, not accounting data. Configure:

- product cost as a percentage of selling price;
- shipping cost per order;
- WFS cost per order;
- advertising percentage;
- refund/return allowance.

Marketplace fees are included as modeled assumptions. Verify Walmart's current official fee schedule before making a sourcing or investment decision.

### Responsible use

Use the Actor only with public Walmart pages and in accordance with applicable laws and marketplace terms. The Actor does not access private Seller Center, Walmart Connect, customer, or payment data and does not bypass CAPTCHA challenges.

# Actor input Schema

## `mode` (type: `string`):

Choose seller portfolio analysis, individual product analysis, or keyword-based niche research.

## `sellerUrls` (type: `array`):

Public Walmart seller storefront URLs used in seller mode.

## `productUrls` (type: `array`):

Public Walmart product URLs used in product mode.

## `productIds` (type: `array`):

Numeric Walmart US item IDs used in product mode.

## `searchQueries` (type: `array`):

Product keywords searched on Walmart in niche mode.

## `maxProductsPerSeller` (type: `integer`):

Maximum number of unique seller products included in one report.

## `maxResultsPerQuery` (type: `integer`):

Maximum number of unique Walmart search products returned for each keyword.

## `includeProductDetails` (type: `boolean`):

Add UPC, seller, offer, price, fulfillment, and additional market intelligence when available.

## `maxDetailedProducts` (type: `integer`):

Maximum number of products enriched with additional market intelligence per seller or query.

## `postalCode` (type: `string`):

Requested location context. Compare it with locationText in the output because Walmart may retain a different public-session location.

## `storeId` (type: `string`):

Requested Walmart store context recorded alongside the observed location.

## `costOfGoodsPercent` (type: `number`):

Estimated product acquisition cost as a percentage of selling price.

## `shippingCostPerOrderUsd` (type: `number`):

Average seller-paid shipping cost per order in USD.

## `wfsFeePerOrderUsd` (type: `number`):

Estimated Walmart Fulfillment Services cost per order in USD.

## `advertisingRatePercent` (type: `number`):

Estimated advertising spend as a percentage of product revenue.

## `refundRatePercent` (type: `number`):

Estimated refunds and returns allowance as a percentage of revenue.

## `maxConcurrency` (type: `integer`):

Controls parallel processing. The default provides a reliable speed/cost balance.

## `proxyConfiguration` (type: `object`):

Apify Residential Proxy is recommended for reliable Walmart access.

## Actor input object example

```json
{
  "mode": "niche",
  "searchQueries": [
    "air fryer"
  ],
  "maxProductsPerSeller": 25,
  "maxResultsPerQuery": 40,
  "includeProductDetails": true,
  "maxDetailedProducts": 20,
  "postalCode": "95829",
  "costOfGoodsPercent": 30,
  "shippingCostPerOrderUsd": 0,
  "wfsFeePerOrderUsd": 0,
  "advertisingRatePercent": 0,
  "refundRatePercent": 2,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `analysisResults` (type: `string`):

No description

## `summary` (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 = {
    "searchQueries": [
        "air fryer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apivault_labs/walmart-seller-revenue-product-opportunity-analyzer").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 = { "searchQueries": ["air fryer"] }

# Run the Actor and wait for it to finish
run = client.actor("apivault_labs/walmart-seller-revenue-product-opportunity-analyzer").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 '{
  "searchQueries": [
    "air fryer"
  ]
}' |
apify call apivault_labs/walmart-seller-revenue-product-opportunity-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apivault_labs/walmart-seller-revenue-product-opportunity-analyzer"
        }
    }
}

```

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/wdaL1W6hgXsOrQegm/builds/0JASfPNWUCIiWfzPg/openapi.json