# Which Ecommerce Platform Does a Store Use?

**Use case:** 

Detect the ecommerce platform, payment providers and CDN of retail websites such as Lululemon, Adidas and Everlane.

## Input

```json
{
  "urls": [
    "lululemon.com",
    "adidas.com",
    "everlane.com"
  ],
  "outputFilteredOut": false,
  "minConfidence": 50,
  "includeTechnologyDetails": true,
  "checkDnsAndTls": true,
  "maxPagesPerWebsite": 1,
  "maxConcurrency": 25,
  "maxResults": 5,
  "proxyMode": "fallback",
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "residentialFallback": false
}
```

## Output

```json
{
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "technologyDetails": {
    "label": "Technology details",
    "format": "array"
  }
}
```

## How it works

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

The Tech Stack Detector like Wappalyzer & BuiltWith Actor is ready to run with the inputs already set for "Which Ecommerce Platform Does a Store Use?". [Sign up or log in](https://console.apify.com/create-task-from-example/aienv5rRLfY2BTcC7) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Which Ecommerce Platform Does a Store Use?" task

The Tech Stack Detector like Wappalyzer & BuiltWith Actor will start running based on the input automatically. You can also change all the input fields, like websites / domains, also output non-matching websites (free rows), and more, to match your specific use case.

### 3. Receive the "Which Ecommerce Platform Does a Store Use?" 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 domain and technology details.

### 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 "Which Ecommerce Platform Does a Store Use?" task via API](https://apify.com/wrenfield-data/website-tech-stack-detector.md).

## About this Actor

This example demonstrates how to use [Tech Stack Detector like Wappalyzer & BuiltWith](https://apify.com/wrenfield-data/website-tech-stack-detector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/wrenfield-data/website-tech-stack-detector.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/wrenfield-data/website-tech-stack-detector.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`).