# Website Tech Detector (`technicaldost/website-tech-detector`) Actor

Detect the technology stack behind any website: CMS, frameworks, analytics, ad tech, servers and more. Great for lead qualification and competitor research. JSON output.

- **URL**: https://apify.com/technicaldost/website-tech-detector.md
- **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community)
- **Categories:** Developer tools, Automation
- **Features:** Limited permissions
- **Stats:** 5 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 websites

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

### Scrape single-page in JavaScript template

A template for scraping data from a single web page in JavaScript (Node.js). The URL of the web page is passed in via input, which is defined by the [input schema](https://docs.apify.com/platform/actors/development/input-schema). The template uses the [Axios client](https://axios-http.com/docs/intro) to get the HTML of the page and the [Cheerio library](https://cheerio.js.org/) to parse the data from it. The data are then stored in a [dataset](https://docs.apify.com/sdk/js/docs/guides/result-storage#dataset) where you can easily access them.

The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page.

### Included features

- **[Apify SDK](https://docs.apify.com/sdk/js/)** - toolkit for building [Actors](https://apify.com/actors)
- **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and easily validate a schema for your Actor's input
- **[Dataset](https://docs.apify.com/sdk/js/docs/guides/result-storage#dataset)** - store structured data where each object stored has the same attributes
- **[Axios client](https://axios-http.com/docs/intro)** - promise-based HTTP Client for Node.js and the browser
- **[Cheerio](https://cheerio.js.org/)** - library for parsing and manipulating HTML and XML

### How it works

1. `Actor.getInput()` gets the input where the page URL is defined

2. `axios.get(url)` fetches the page

3. `cheerio.load(response.data)` loads the page data and enables parsing the headings

4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page

   ```javascript
   $("h1, h2, h3, h4, h5, h6").each((_i, element) => {...});
   ```

5. `Actor.pushData(headings)` stores the headings in the dataset

### Resources

- [Web scraping in Node.js with Axios and Cheerio](https://blog.apify.com/web-scraping-with-axios-and-cheerio/)
- [Web scraping with Cheerio in 2023](https://blog.apify.com/web-scraping-with-cheerio/)
- [Video tutorial](https://www.youtube.com/watch?v=yTRHomGg9uQ) on building a scraper using CheerioCrawler
- [Written tutorial](https://docs.apify.com/academy/web-scraping-for-beginners/challenge) on building a scraper using CheerioCrawler
- [Integration with Zapier](https://apify.com/integrations), Make, Google Drive, and others
- [Video guide on getting data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM)
- A short guide on how to build web scrapers using code templates:

[web scraper template](https://www.youtube.com/watch?v=u-i-Korzf8w)

### Getting started

For complete information [see this article](https://docs.apify.com/platform/actors/development#build-actor-locally). To run the Actor use the following command:

```bash
apify run
```

### Deploy to Apify

#### Connect Git repository to Apify

If you've created a Git repository for the project, you can easily connect to Apify:

1. Go to [Actor creation page](https://console.apify.com/actors/new)
2. Click on **Link Git Repository** button

#### Push project on your local machine to Apify

You can also deploy the project on your local machine to Apify without the need for the Git repository.

1. Log in to Apify. You will need to provide your [Apify API Token](https://console.apify.com/account/integrations) to complete this action.

   ```bash
   apify login
   ```

2. Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under [Actors -> My Actors](https://console.apify.com/actors?tab=my).

   ```bash
   apify push
   ```

### Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

### Input example

```json
{
  "urls": [
    "https://github.com",
    "https://vercel.com"
  ]
}
```

All fields are described in the **Input** tab, and the same JSON works in the API and for AI agents.

### Output example

Each result is one dataset item. A real item from a test run (long fields shortened):

```json
{
  "url": "https://github.com",
  "finalUrl": "https://github.com/",
  "title": "GitHub · Change is constant. GitHub keeps you ahead. · GitHub · GitHubAmerican AirlinesDuolingoErnst and YoungFordInfoSysMercado LibreMercedes-BenzShopifyPhi...",
  "description": "Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build sof...",
  "technologies": [
    "React",
    "Shopify",
    "Cloudflare",
    "AWS",
    "Bootstrap",
    "Server: github.com"
  ],
  "techCount": 6,
  "hasViewport": true,
  "statusCode": 200,
  "contentType": "text/html; charset=utf-8",
  "scrapedAt": "2026-10-21T10:01:50.807Z"
}
```

### How much does Website Tech Detector cost?

This Actor uses **pay-per-event** pricing: you pay only for what it delivers, and platform usage is included.

| Event | Price |
|---|---|
| Result (one dataset item) | $0.002 each ($2.00 per 1,000) |

Set **Maximum cost per run** in the run options to cap your spend; the Actor stops when the limit is reached. Check the **Pricing** tab for current prices and plan discounts.

### Use Website Tech Detector with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted [Apify MCP server](https://mcp.apify.com). The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

**MCP server URL (this Actor only):**

```
https://mcp.apify.com/?tools=technicaldost/website-tech-detector
```

**Claude Code:**

```bash
claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/website-tech-detector" --header "Authorization: Bearer YOUR_APIFY_TOKEN"
```

**Cursor, VS Code, Claude Desktop and other clients** (`mcp.json` or the client's MCP settings):

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/website-tech-detector",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}
```

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in [Apify Console → Settings → API & Integrations](https://console.apify.com/settings/integrations), or generate a ready config for your client at [mcp.apify.com](https://mcp.apify.com). In the agent the tool is named `technicaldost--website-tech-detector`; ask it, for example, to *"run Website Tech Detector with {"urls": \["https://github.com", "https://vercel.com"]}"*.

AI agents without an Apify account can also run and pay for this Actor per request with [x402 agentic payments](https://docs.apify.com/platform/integrations/x402).

### Run Website Tech Detector via API

Run the Actor and get its results in one call (replace `YOUR_APIFY_TOKEN`):

```bash
curl -X POST "https://api.apify.com/v2/acts/technicaldost~website-tech-detector/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://github.com", "https://vercel.com"]}'
```

**Python** (`pip install apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/website-tech-detector").call(run_input={"urls": ["https://github.com", "https://vercel.com"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

**JavaScript / TypeScript** (`npm install apify-client`):

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/website-tech-detector').call({"urls": ["https://github.com", "https://vercel.com"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

Long runs: start them with `POST /v2/acts/technicaldost~website-tech-detector/runs` and fetch the dataset when the run finishes, or receive a webhook.

### Related Actors

- [Website Change Detector](https://apify.com/technicaldost/website-change-detector) — Monitor websites for content changes with visual comparison. Get alerts when pages update
- [Website Brand & Favicon Extractor](https://apify.com/technicaldost/website-brand-favicon-extractor) — Pull the brand assets a website declares about itself: favicons and apple-touch icons at every size, logo, Ope
- [Website Contact & Email Extractor](https://apify.com/technicaldost/website-contact-extractor) — Extract contact details from websites in bulk: emails, phone numbers and social profiles, plus the contact pag
- [Website RSS & Atom Feed Finder](https://apify.com/technicaldost/website-feed-discovery) — Find every RSS, Atom and JSON feed a website publishes. Checks declared link tags, on-page links and well-know

### FAQ

#### Can I use Website Tech Detector with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with `?tools=technicaldost/website-tech-detector` (see above) and the agent can run the Actor and read its results on its own.

#### Can I call Website Tech Detector from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

#### How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

#### Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

#### Something doesn't work or I need a feature. What should I do?

Open an issue in the **Issues** tab on this Actor's page with an example input, and we'll look into it.

# Actor input Schema

## `urls` (type: `array`):

Website URLs to analyze for technologies

## Actor input object example

```json
{
  "urls": [
    "https://github.com",
    "https://vercel.com"
  ]
}
```

# 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 = {
    "urls": [
        "https://github.com",
        "https://vercel.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/website-tech-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 = { "urls": [
        "https://github.com",
        "https://vercel.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/website-tech-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 '{
  "urls": [
    "https://github.com",
    "https://vercel.com"
  ]
}' |
apify call technicaldost/website-tech-detector --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,technicaldost/website-tech-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/MsQYHkQmbQNVnMymU/builds/tazuP8eTKaZ7kdOUW/openapi.json