# Website Tech Stack Detector (`blazing_stake/tech-stack-detector`) Actor

Detect the technologies a website uses: CMS, frameworks, analytics, CDNs, ecommerce platforms, JS libraries. Wappalyzer-style fingerprinting.

- **URL**: https://apify.com/blazing\_stake/tech-stack-detector.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** Developer tools, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 website analyzeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Website Tech Stack Detector

Find out **what technologies any website is built with** — CMS, frameworks, analytics, marketing tools, CDNs, ecommerce platforms, and JavaScript libraries. A fast, Wappalyzer-style fingerprinting tool for competitive research and lead qualification.

### 🎯 What it detects

- **CMS** — WordPress, Drupal, Joomla, Wix, Squarespace, Ghost, Webflow, Shopify
- **Ecommerce** — Shopify, WooCommerce, Magento, BigCommerce, PrestaShop
- **Frameworks** — React, Next.js, Vue, Nuxt, Angular, Svelte, Gatsby
- **Analytics** — Google Analytics, GTM, Facebook Pixel, Hotjar, Mixpanel, Segment, Plausible, Matomo
- **CDN** — Cloudflare, jsDelivr, Fastly, CloudFront
- **JS libraries** — jQuery, Bootstrap, Lodash, Font Awesome, Tailwind, GSAP
- **Marketing** — HubSpot, Mailchimp, Intercom, Drift, Zendesk
- Plus **server headers** and the **meta generator** tag (often reveals CMS version)

### 💡 Use cases

- **Sales qualification** — target companies using a specific platform (e.g. "all Shopify stores")
- **Competitive analysis** — see what stack competitors run
- **Lead scoring** — enrich prospect lists with tech signals
- **Market research** — measure technology adoption across a set of sites

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `startUrls` | array | Websites to analyze |
| `maxConcurrency` | integer | Parallel analyses (default 20) |
| `useProxy` | boolean | Route via Apify Proxy (default true) |

#### Example input

```json
{
  "startUrls": ["https://example.com", "https://competitor.com"]
}
```

### 📤 Output

```json
{
  "url": "https://example.com",
  "technologies": {
    "cms": ["WordPress"],
    "framework": ["React"],
    "analytics": ["Google Analytics", "Google Tag Manager"],
    "marketing": ["HubSpot"]
  },
  "technologyCount": 5,
  "metaGenerator": "WordPress 6.5",
  "server": { "server": "nginx", "poweredBy": "PHP/8.2" }
}
```

### ⚡ Performance

HTTP-based fingerprinting — one request per site, ~0.4s each. Analyze thousands of domains quickly and cheaply.

# Actor input Schema

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

Websites to analyze. The Actor fingerprints each site to detect the technologies it uses.

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

Number of websites analyzed in parallel.

## `useProxy` (type: `boolean`):

Route requests through Apify Proxy to avoid IP blocking.

## Actor input object example

```json
{
  "startUrls": [
    "https://example.com",
    "https://shop.example.com"
  ],
  "maxConcurrency": 20,
  "useProxy": true
}
```

# Actor output Schema

## `results` (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 = {
    "startUrls": [
        "https://apify.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/tech-stack-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://apify.com"] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/tech-stack-detector").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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://apify.com"
  ]
}' |
apify call blazing_stake/tech-stack-detector --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blazing_stake/tech-stack-detector",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Oh34Pg8QRs6iLO11a/builds/TZPBiCrjklVdgOLVA/openapi.json