# Website Technology Detector - Tech Stack Scanner (`apifmcpfactory/tech-stack-detector`) Actor
Detects the technologies a website is built with (CMS, ecommerce, analytics, frameworks; 7,500+ signatures) - use when you need a site's tech stack for lead qualification or competitor research; $0.005 per site checked.
- **URL**: https://apify.com/apifmcpfactory/tech-stack-detector.md
- **Developed by:** [Fred Jones](https://apify.com/apifmcpfactory) (community)
- **Categories:** Developer tools, Lead generation, SEO tools
- **Stats:** 2 total users, 0 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. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
## Tech Stack Detector — website technology detector & tech stack scanner
Find out what any website is built with. Tech Stack Detector scans a list of URLs and identifies the technologies behind each site — CMS, ecommerce platform, web framework, analytics tools, CDN, web server, and more — using the open-source **webappanalyzer** fingerprint dataset: **7,500+ technologies across 109 categories**, regularly refreshed.
A fast, affordable **Wappalyzer alternative** and **BuiltWith alternative**: roughly **$5 per 1,000 sites**, compared to $70–100 per 1,000 lookups with typical commercial tools.
### Use with AI agents (MCP)
This Actor is also an **MCP tool** — AI agents like Claude and Cursor can run it for you. Your agent can call this tool directly; usage bills through your Apify account.
**MCP server URL:**
````
https://mcp.apify.com?tools=apifmcpfactory/tech-stack-detector
````
**Claude Desktop** (`claude_desktop_config.json`):
```json
{
"mcpServers": {
"tech-stack-detector": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com?tools=apifmcpfactory/tech-stack-detector",
"--header",
"Authorization: Bearer YOUR_APIFY_TOKEN"
]
}
}
}
````
**Cursor** (`.cursor/mcp.json`):
```json
{
"mcpServers": {
"tech-stack-detector": {
"url": "https://mcp.apify.com?tools=apifmcpfactory/tech-stack-detector",
"headers": {
"Authorization": "Bearer YOUR_APIFY_TOKEN"
}
}
}
}
```
Replace `YOUR_APIFY_TOKEN` with your API token from [Apify Console](https://console.apify.com/settings/integrations).
No Apify account? AI agents can also pay per call with USDC via the [x402 protocol](https://docs.apify.com/integrations/x402): buy a prepaid token at [agi.apify.com](https://agi.apify.com) and use it as the Bearer token above.
### Who is it for?
- **Lead generation & sales prospecting** — build lists of sites running Shopify, WordPress, HubSpot, or any other platform your product targets. Qualify leads by their stack before you reach out.
- **SEO & competitor research** — see what CMS, frameworks, analytics, and marketing tools competitors use, including version numbers where detectable.
### Why this Actor?
- **Bulk input** — paste a list of URLs; each site is fetched and analyzed in parallel.
- **Fast & lightweight** — plain HTTP fetching with no headless browser, so runs are quick and compute costs stay tiny.
- **Rich output** — every detected technology comes with human-readable categories, a version number when the fingerprints reveal one, and a confidence score (0–100).
- **Resilient** — unreachable sites don't break the run; they produce an item with an `error` field so you always get one row per input URL.
- **Self-contained** — all fingerprint matching happens locally against the bundled dataset. No third-party API calls.
### Input
```json
{
"urls": [
"https://www.shopify.com",
"https://wordpress.org"
],
"maxConcurrency": 10
}
```
### Output
One dataset item per site:
```json
{
"url": "https://wordpress.org",
"finalUrl": "https://wordpress.org/",
"httpStatus": 200,
"pageTitle": "Blog Tool, Publishing Platform, and CMS – WordPress.org",
"headers": {
"server": "nginx",
"x-powered-by": null,
"x-generator": null
},
"metaGenerator": "WordPress 7.1",
"technologies": [
{ "name": "WordPress", "categories": ["CMS", "Blogs"], "version": "7.1", "confidence": 100 },
{ "name": "Nginx", "categories": ["Web servers", "Reverse proxies"], "version": null, "confidence": 100 },
{ "name": "PHP", "categories": ["Programming languages"], "version": null, "confidence": 100 },
{ "name": "MySQL", "categories": ["Databases"], "version": null, "confidence": 100 },
{ "name": "Google Tag Manager", "categories": ["Tag managers"], "version": null, "confidence": 100 }
],
"fetchTimeMs": 1259
}
```
If a site can't be reached, the item contains the `url` and an `error` message instead.
### How detection works
Each page's response headers, cookies, `` tags, HTML content, and script URLs are matched against the community-maintained [webappanalyzer](https://github.com/enthec/webappanalyzer) fingerprint dataset (the actively maintained successor to Wappalyzer's open-source fingerprints). Relationships between technologies are applied automatically — for example, detecting WooCommerce implies WordPress, which implies PHP and MySQL.
### Pricing
Pay per event: a small flat fee per run ($0.001) plus $0.005 per analyzed site — about **$5 per 1,000 sites**. Compare that to $70–100 per 1,000 lookups elsewhere.
### FAQ
**Does it render JavaScript?** No — that's what keeps it fast and cheap. Technologies only visible after client-side rendering may be missed; server-side signals (headers, HTML, script tags, cookies) are all detected.
**How fresh is the fingerprint data?** The dataset is bundled with the Actor and refreshed regularly from the open-source webappanalyzer repository.
**What counts as a billed site?** Every input URL that produces a dataset item, including error items — each one represents real fetch and analysis work.
### More tools from MCP Factory
- **[EU VAT Validator](https://apify.com/apifmcpfactory/eu-vat-validator)** — bulk-validate EU VAT numbers against the EU's official VIES service, with the official consultation number as audit evidence on every check.
- **[llms.txt Checker](https://apify.com/apifmcpfactory/llms-txt-checker)** — audit any website's AI readiness: llms.txt, AI crawler access in robots.txt, sitemap, and a 0–100 score with plain-English fixes.
# Actor input Schema
## `urls` (type: `array`):
Website URLs to inspect, one full URL per entry including the scheme, e.g. "https://www.shopify.com" (bare domains without https:// will fail). Each URL produces exactly one result item and is billed at $0.005. If omitted, two demo sites (wordpress.org, shopify.com) are used — always pass your own list.
## `maxConcurrency` (type: `integer`):
How many websites are fetched in parallel. Integer, minimum 1, e.g. 10. If omitted, defaults to 10, which is right for most batches; lower it only if target sites rate-limit or block you.
## Actor input object example
```json
{
"urls": [
"https://www.wordpress.org",
"https://www.shopify.com"
],
"maxConcurrency": 10
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
"https://www.wordpress.org",
"https://www.shopify.com"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("apifmcpfactory/tech-stack-detector").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "urls": [
"https://www.wordpress.org",
"https://www.shopify.com",
] }
# Run the Actor and wait for it to finish
run = client.actor("apifmcpfactory/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 '{
"urls": [
"https://www.wordpress.org",
"https://www.shopify.com"
]
}' |
apify call apifmcpfactory/tech-stack-detector --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=apifmcpfactory/tech-stack-detector",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Website Technology Detector - Tech Stack Scanner",
"description": "Detects the technologies a website is built with (CMS, ecommerce, analytics, frameworks; 7,500+ signatures) - use when you need a site's tech stack for lead qualification or competitor research; $0.005 per site checked.",
"version": "0.0",
"x-build-id": "VgqGwMxkqbrvg2CDk"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/apifmcpfactory~tech-stack-detector/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-apifmcpfactory-tech-stack-detector",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/apifmcpfactory~tech-stack-detector/runs": {
"post": {
"operationId": "runs-sync-apifmcpfactory-tech-stack-detector",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/apifmcpfactory~tech-stack-detector/run-sync": {
"post": {
"operationId": "run-sync-apifmcpfactory-tech-stack-detector",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"urls"
],
"properties": {
"urls": {
"title": "Website URLs",
"type": "array",
"description": "Website URLs to inspect, one full URL per entry including the scheme, e.g. \"https://www.shopify.com\" (bare domains without https:// will fail). Each URL produces exactly one result item and is billed at $0.005. If omitted, two demo sites (wordpress.org, shopify.com) are used — always pass your own list.",
"default": [
"https://www.wordpress.org",
"https://www.shopify.com"
],
"items": {
"type": "string"
}
},
"maxConcurrency": {
"title": "Max concurrency",
"minimum": 1,
"type": "integer",
"description": "How many websites are fetched in parallel. Integer, minimum 1, e.g. 10. If omitted, defaults to 10, which is right for most batches; lower it only if target sites rate-limit or block you.",
"default": 10
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```