# Website Analytics Detector | Tags & Pixels (`keystonelabs/website-analytics-detector`) Actor

Detect exposed analytics, tag managers and marketing pixels on supplied websites. Export vendor signals for implementation reviews. HTTP-only results cannot prove tracking is absent or assess consent compliance.

- **URL**: https://apify.com/keystonelabs/website-analytics-detector.md
- **Developed by:** [Nick McNemar](https://apify.com/keystonelabs) (community)
- **Categories:** SEO tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 website checkeds

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

### Inventory visible analytics tags on websites

Website Analytics Detector: Detect exposed analytics, tag managers and marketing pixels on supplied websites. Export vendor signals for implementation reviews. HTTP-only results cannot prove tracking is absent or assess consent compliance.

### Start with a small example

1. Open Input, switch to JSON and paste the example below. Replace the example startUrls with your own research targets when ready.
2. Check the live Pricing tab and set a run spending limit.
3. Run the Actor, then open the **Workflow** output view. Inspect `url`, `analytics`, `tagManager`, `advertising`, `marketingAutomation`, `error`.
4. Export JSON for nested data or CSV for a spreadsheet. Review a small sample before increasing the scope.

```json
{
  "startUrls": [
    "https://wordpress.org",
    "https://www.hubspot.com",
    "https://www.nytimes.com"
  ],
  "filterTechnologies": [
    "Google Tag Manager",
    "Google Analytics",
    "Linkedin Insight Tag",
    "Cloudflare Browser Insights",
    "Naver Analytics",
    "Hotjar",
    "Mixpanel",
    "Segment",
    "Amplitude",
    "Microsoft Clarity",
    "Matomo",
    "Plausible",
    "Heap",
    "FullStory",
    "Meta Pixel",
    "Facebook Pixel",
    "TikTok Pixel",
    "Pinterest Tag",
    "Snapchat Pixel",
    "Adobe Analytics",
    "Piwik PRO",
    "Fathom",
    "Simple Analytics",
    "Umami",
    "Tealium",
    "Adobe Experience Platform Launch"
  ],
  "onlyMatching": false
}
```

At the rate checked September 9, 2026, 3 saved rows cost $0.009 in Actor event fees ($3.00 per 1,000 rows). Actual returned rows determine the event fee. Taxes and other account services may be separate.

### What can I use it for?

- **Selling analytics, CRO and privacy tools.** Find every site on a list running Google Analytics but no consent manager, or running Hotjar, or running no analytics at all, and pitch accordingly.
- **Agency prospecting.** Sites with Google Tag Manager installed are sites that already invest in measurement; sites without any tag manager are the ones that need help.
- **Privacy and compliance audits.** Inventory which third-party trackers load on a portfolio of client or subsidiary sites before a cookie-consent or GDPR review.
- **Competitive research.** See which measurement and experimentation stack competitors rely on.
- **Market sizing.** Measure the adoption of Matomo, Plausible or Fathom against Google Analytics within an industry or region.
- **Enriching your data.** Add `tagManager`, `analytics` and `advertising` columns to a spreadsheet of accounts in one run.

### What data does it return?

One record per website:

| Field | Meaning |
|---|---|
| `url`, `finalUrl`, `statusCode`, `title` | What you asked for, where it resolved to, and the page title |
| `matchesFilter` | `true` when the site loads any of the tools you listed under **Tools to look for** |
| `matchedTechnologies` | Which of those tools were found, e.g. `["Google Tag Manager", "Linkedin Insight Tag"]` |
| `tagManager` | Google Tag Manager, Tealium, Adobe Launch and similar |
| `analytics` | Google Analytics, Matomo, Plausible, Mixpanel, Amplitude, Heap, Hotjar, FullStory, Microsoft Clarity and others |
| `advertising` | Ad platforms whose tags ship in the page: LinkedIn Insight Tag, Meta Pixel, TikTok Pixel, Google Ads and similar |
| `marketingAutomation`, `liveChat` | HubSpot, Klaviyo, Intercom and similar, when loaded directly |
| `cms`, `ecommerce`, `cdn`, `hosting` | The rest of the stack, for context |
| `technologyCount` | Total technologies detected |
| `technologies` | The complete list with categories, versions and confidence scores |
| `error` | `null` on success, otherwise why the site could not be checked |

Sites that time out or refuse the connection are still returned with an `error`, so input and output line up one to one.

#### Illustrative output

Values explain the output shape; they are not a live result or guaranteed field coverage.

```json
{
  "url": "https://www.hubspot.com",
  "finalUrl": "https://www.hubspot.com/",
  "statusCode": 200,
  "title": "HubSpot | Software & Tools for your Business - Homepage",
  "matchesFilter": true,
  "matchedTechnologies": ["Linkedin Insight Tag", "Cloudflare Browser Insights"],
  "tagManager": null,
  "analytics": "Cloudflare Browser Insights, Linkedin Insight Tag",
  "advertising": "Linkedin Insight Tag",
  "marketingAutomation": "HubSpot",
  "cdn": "Cloudflare",
  "technologyCount": 8,
  "technologies": [
    { "name": "Linkedin Insight Tag", "categories": ["Analytics", "Advertising"], "version": null, "confidence": 100, "website": "https://business.linkedin.com/marketing-solutions/insight-tag" },
    { "name": "HubSpot", "categories": ["Marketing automation"], "version": null, "confidence": 50, "website": "https://www.hubspot.com" }
  ],
  "error": null
}
```

### How to use it

1. Paste your domains under **Websites to check**, upload a file, or pass them through the API as `startUrls`.
2. Leave **Tools to look for** at its defaults for a broad inventory, or narrow it to one tool — `Google Tag Manager` alone, say — to build a targeted list.
3. Switch on **Store only matching websites** to pay only for the sites that load the tools you listed and discard the rest.
4. Click **Start** and download the results as JSON, CSV or Excel from the **Output** tab, or read them from the dataset via the API.

#### Input example

```json
{
  "startUrls": [
    "https://wordpress.org",
    "hubspot.com",
    "https://www.nytimes.com"
  ],
  "filterTechnologies": ["Google Tag Manager", "Google Analytics", "Matomo"],
  "onlyMatching": false
}
```

Raise **Max concurrency** for large lists. Turn on **Proxy configuration** only if some sites block the platform's IP range — most do not.

### How detection works — and what it deliberately does not do

The detector fetches each homepage once and inspects the response headers, cookies, HTML, script sources, inline scripts and meta tags against more than 7,600 technology fingerprints. Tag managers and analytics suites are among the easiest technologies to fingerprint because their loader snippets sit directly in the page: `googletagmanager.com/gtm.js`, the `gtag('config', …)` call, `snap.licdn.com` for the LinkedIn Insight Tag, `static.hotjar.com`, `cdn.mxpnl.com` and so on.

What this actor does **not** do is execute the page's JavaScript. That is a deliberate trade-off — it is what makes the check fast and cheap — and it has one consequence you should understand before you buy: **tags that a tag manager injects at runtime are not visible.** If a site loads Google Tag Manager and GTM in turn fires Meta Pixel, TikTok Pixel and Hotjar, this actor reports Google Tag Manager and not the three tags behind it. Tools loaded directly in the page are reported; tools loaded through a container are reported as the container. For most prospecting and audit jobs — "which sites run GTM", "which sites run Matomo instead of Google Analytics", "which sites have no analytics at all" — that is exactly the signal you want. If you need the full runtime tag inventory of a page, you need a browser-based tool.

The fingerprint database is the open-source webappanalyzer technology dataset, used under the GNU GPL v3. The matching engine in this actor is original code.

### Pricing

You pay per website saved to the dataset. With **Store only matching websites** on, that means per matching site; with it off, per site checked. There are no subscriptions, seats or minimums, and you can cap the maximum spend of a run before it starts.

### Scope and responsible use

The actor requests only the publicly served homepage of each URL you provide, exactly as a browser would. It requires no login, no cookies and no credentials, does not crawl beyond the page you give it, does not execute scripts or fire any tracking tags itself, and does not attempt to bypass any access control or bot-protection challenge. You are responsible for using the results in accordance with the laws that apply to you and the terms of the websites you check.

### Limitations

- Very large retail and media homepages that deliberately stall automated traffic can exceed the request timeout; they come back as rows with an `error` rather than being dropped.
- Tags injected at runtime by a tag manager are reported as the tag manager, not individually (see above).
- Sites that load their entire interface through client-side JavaScript may expose fewer signals on the first response.
- Server-side tagging setups that proxy analytics through the site's own domain can hide the vendor.
- Only the URL you supply is fetched; tags present only on inner pages are not seen.

### Something not detected?

Open an issue on this actor's **Issues** tab with the URL and the tool you expected. Include a reproducible input and the expected signal so the report can be investigated.

### Interpret empty results and errors

A null technology field means no recognized signal was found in the inspected response; it does not prove absence. A returned error means that URL was not successfully analyzed. With `onlyMatching: true`, non-matches and errors are omitted from the dataset, so a zero-row result cannot distinguish an unavailable site from no matches. Start with `onlyMatching: false` when checking coverage.

Every saved row, including an error row, incurs the configured per-row event fee. Proxy selection and run duration can affect operating costs. Do not increase concurrency or enable a more expensive proxy merely to work around an unclear result.

For a reproducible problem, open this Actor’s Issues tab with a small public input, expected behavior and relevant error text. Remove tokens and confidential information. No response-time or uptime guarantee is offered.

### Use the result in an automation

In Make or n8n, use the Apify integration to run this Actor with the same JSON input, wait for completion, then retrieve its default dataset. Route failed runs and error rows to a review step before sending valid results to your spreadsheet or CRM. Scheduling does not make these Actors emit only new records: deduplicate downstream using the source URL or record ID.

For Node.js, install the official `apify-client` package and set your own `APIFY_TOKEN` environment variable. The following example starts a paid run with a small spending limit.

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const input = {
  "startUrls": [
    "https://wordpress.org",
    "https://www.hubspot.com",
    "https://www.nytimes.com"
  ],
  "filterTechnologies": [
    "Google Tag Manager",
    "Google Analytics",
    "Linkedin Insight Tag",
    "Cloudflare Browser Insights",
    "Naver Analytics",
    "Hotjar",
    "Mixpanel",
    "Segment",
    "Amplitude",
    "Microsoft Clarity",
    "Matomo",
    "Plausible",
    "Heap",
    "FullStory",
    "Meta Pixel",
    "Facebook Pixel",
    "TikTok Pixel",
    "Pinterest Tag",
    "Snapchat Pixel",
    "Adobe Analytics",
    "Piwik PRO",
    "Fathom",
    "Simple Analytics",
    "Umami",
    "Tealium",
    "Adobe Experience Platform Launch"
  ],
  "onlyMatching": false
};
const run = await client.actor('keystonelabs/website-analytics-detector').call(input, {
  memory: 512, timeout: 180, maxTotalChargeUsd: 0.10
});
if (run.status !== 'SUCCEEDED') throw new Error('Run did not succeed: ' + run.id);
const { items } = await client.dataset(run.defaultDatasetId).listItems({ limit: 100 });
console.log(items);
```

The first 100 rows are retrieved in this example. Use the dataset API pagination for a larger result. Keep credentials out of shared inputs and source files.

### A useful next step

- [Website Tech Stack Detector | Bulk URL Lookup](https://apify.com/keystonelabs/tech-stack-detector): qualify a website list by its technology. This is a separate Actor with its own input and price.

### Understand the run at a glance

Open **Run summary** in Output for counts of unique URLs, analyzed responses, failures, matches and saved rows. It remains useful when `onlyMatching` produces an empty dataset. The summary is written at normal completion and does not add a billable dataset row. Failed or aborted runs may not have a final summary; check run status first. The summary contains counts only, not a second copy of scraped content.

# Actor input Schema

## `startUrls` (type: `array`):

Domains or URLs to inspect. Each one becomes a result listing the analytics and tag tools found, with a matchesFilter flag.

## `filterTechnologies` (type: `array`):

Analytics, tag-manager and tracking tools that count as a match. The defaults cover the common ones; narrow the list to find, for example, every site running Google Tag Manager or Matomo.

## `onlyMatching` (type: `boolean`):

Save only detected matches. Non-matches and error rows are omitted, so start with this off when reviewing coverage. Requires filterTechnologies.

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

How many websites to analyze in parallel. Lower it if you are analyzing many pages on the same domain.

## `timeoutSecs` (type: `integer`):

Give up on a website after this many seconds. Large media and retail homepages can take 30 seconds or more to respond under load.

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

Optional. Route requests through Apify Proxy if some target sites block your IP.

## Actor input object example

```json
{
  "startUrls": [
    "https://wordpress.org",
    "https://www.hubspot.com",
    "https://www.nytimes.com"
  ],
  "filterTechnologies": [
    "Google Tag Manager",
    "Google Analytics",
    "Linkedin Insight Tag",
    "Cloudflare Browser Insights",
    "Naver Analytics",
    "Hotjar",
    "Mixpanel",
    "Segment",
    "Amplitude",
    "Microsoft Clarity",
    "Matomo",
    "Plausible",
    "Heap",
    "FullStory",
    "Meta Pixel",
    "Facebook Pixel",
    "TikTok Pixel",
    "Pinterest Tag",
    "Snapchat Pixel",
    "Adobe Analytics",
    "Piwik PRO",
    "Fathom",
    "Simple Analytics",
    "Umami",
    "Tealium",
    "Adobe Experience Platform Launch"
  ],
  "onlyMatching": false,
  "maxConcurrency": 20,
  "timeoutSecs": 45,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Dataset of analyzed websites. Each item lists detected technologies with category, version and confidence.

## `workflowJson` (type: `string`):

Selected columns for this workflow. Inspect errors and missing values before using the data.

## `workflowCsv` (type: `string`):

Download the workflow columns as CSV. Use JSON for full nested arrays.

## `summary` (type: `string`):

Counts of analyzed, failed, matched, saved and omitted URLs. Use this to interpret a zero-row result.

# 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 = {
    "startUrls": [
        "https://wordpress.org",
        "https://www.hubspot.com",
        "https://www.nytimes.com"
    ],
    "filterTechnologies": [
        "Google Tag Manager",
        "Google Analytics",
        "Linkedin Insight Tag",
        "Cloudflare Browser Insights",
        "Naver Analytics",
        "Hotjar",
        "Mixpanel",
        "Segment",
        "Amplitude",
        "Microsoft Clarity",
        "Matomo",
        "Plausible",
        "Heap",
        "FullStory",
        "Meta Pixel",
        "Facebook Pixel",
        "TikTok Pixel",
        "Pinterest Tag",
        "Snapchat Pixel",
        "Adobe Analytics",
        "Piwik PRO",
        "Fathom",
        "Simple Analytics",
        "Umami",
        "Tealium",
        "Adobe Experience Platform Launch"
    ],
    "onlyMatching": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("keystonelabs/website-analytics-detector").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 = {
    "startUrls": [
        "https://wordpress.org",
        "https://www.hubspot.com",
        "https://www.nytimes.com",
    ],
    "filterTechnologies": [
        "Google Tag Manager",
        "Google Analytics",
        "Linkedin Insight Tag",
        "Cloudflare Browser Insights",
        "Naver Analytics",
        "Hotjar",
        "Mixpanel",
        "Segment",
        "Amplitude",
        "Microsoft Clarity",
        "Matomo",
        "Plausible",
        "Heap",
        "FullStory",
        "Meta Pixel",
        "Facebook Pixel",
        "TikTok Pixel",
        "Pinterest Tag",
        "Snapchat Pixel",
        "Adobe Analytics",
        "Piwik PRO",
        "Fathom",
        "Simple Analytics",
        "Umami",
        "Tealium",
        "Adobe Experience Platform Launch",
    ],
    "onlyMatching": False,
}

# Run the Actor and wait for it to finish
run = client.actor("keystonelabs/website-analytics-detector").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 '{
  "startUrls": [
    "https://wordpress.org",
    "https://www.hubspot.com",
    "https://www.nytimes.com"
  ],
  "filterTechnologies": [
    "Google Tag Manager",
    "Google Analytics",
    "Linkedin Insight Tag",
    "Cloudflare Browser Insights",
    "Naver Analytics",
    "Hotjar",
    "Mixpanel",
    "Segment",
    "Amplitude",
    "Microsoft Clarity",
    "Matomo",
    "Plausible",
    "Heap",
    "FullStory",
    "Meta Pixel",
    "Facebook Pixel",
    "TikTok Pixel",
    "Pinterest Tag",
    "Snapchat Pixel",
    "Adobe Analytics",
    "Piwik PRO",
    "Fathom",
    "Simple Analytics",
    "Umami",
    "Tealium",
    "Adobe Experience Platform Launch"
  ],
  "onlyMatching": false
}' |
apify call keystonelabs/website-analytics-detector --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,keystonelabs/website-analytics-detector"
        }
    }
}

```

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/L6W9irVe6gnWnYORA/builds/3Pdd7Jzg9RUv8u80v/openapi.json