# Detect advertising pixels on a company website

**Use case:** 

Detect advertising pixels on a company website. Enrich company records with observed website technologies, advertising pixels and public DNS email signals. Use the results to qualify accounts by their stack. Detection is based on visible page and DNS evidence. Consent controls, client-side loading and blocking can hide a technology. A pixel does not prove active advertising or advertising spend.

## Input

```json
{
  "domains": [
    "nike.com"
  ],
  "track_diff": false,
  "state_id": "tech_state",
  "only_changes": false,
  "use_paid_upstream": false
}
```

## Output

```json
{
  "domain": {
    "label": "domain",
    "format": "string"
  },
  "status": {
    "label": "status",
    "format": "string"
  },
  "has_meta_pixel": {
    "label": "has_meta_pixel",
    "format": "boolean"
  },
  "has_google_ads_tag": {
    "label": "has_google_ads_tag",
    "format": "boolean"
  },
  "has_ga4": {
    "label": "has_ga4",
    "format": "boolean"
  },
  "has_linkedin_insight": {
    "label": "has_linkedin_insight",
    "format": "boolean"
  },
  "cms": {
    "label": "cms",
    "format": "string"
  },
  "ecommerce": {
    "label": "ecommerce",
    "format": "string"
  },
  "ad_pixels": {
    "label": "ad_pixels",
    "format": "array"
  },
  "marketing_tools": {
    "label": "marketing_tools",
    "format": "array"
  },
  "email_provider": {
    "label": "email_provider",
    "format": "string"
  },
  "dmarc_policy": {
    "label": "dmarc_policy",
    "format": "string"
  },
  "note": {
    "label": "note",
    "format": "string"
  }
}
```

## How it works

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

The Website Tech Stack Detector & Lookup: BuiltWith Alternative Actor is ready to run with the inputs already set for "Detect advertising pixels on a company website". [Sign up or log in](https://console.apify.com/create-task-from-example/bsJuQtqxnGqE2r56V) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Detect advertising pixels on a company website" task

The Website Tech Stack Detector & Lookup: BuiltWith Alternative Actor will start running based on the input automatically. You can also change all the input fields, like domains, track changes between runs, and more, to match your specific use case.

### 3. Receive the "Detect advertising pixels on a company website" 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, status, has_meta_pixel, 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 "Detect advertising pixels on a company website" task via API](https://apify.com/hirepulse/website-tech-stack-detector.md).

## About this Actor

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