# BuiltWith Technology Profile Scraper — Tech Stack (`thenetaji/builtwith-technology-profile-scraper`) Actor

Turn website domains into technology profiles with current and historical detections, first and last seen dates, categories, product links, visibility counts, and the published monthly technology-spend estimate.

- **URL**: https://apify.com/thenetaji/builtwith-technology-profile-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.28 / 1,000 technology profiles

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## BuiltWith Technology Profile Scraper

Enrich website domains with the technology detections published on their detailed BuiltWith profiles. Each input domain becomes one complete row, so the result fits account scoring, technographic segmentation, sales research, and change tracking without splitting one company across hundreds of dataset items.

Give it hostnames or complete page links:

```json
{
  "domains": [
    "openai.com",
    "https://www.shopify.com/enterprise"
  ],
  "maxItems": 0
}
```

Links are reduced to hostnames, duplicate domains are read once, and `maxItems: 0` processes the complete list. A domain with no public detailed profile is skipped without cancelling the rest of the run.

### What you get

| Field | What it records |
| --- | --- |
| `domain`, `url` | Normalized hostname and public profile address |
| `technology_spend_monthly_usd` | Published minimum monthly technology-spend estimate in US dollars |
| `technologies` | Names, categories, subcategories, detection dates, status flags, and public product links |
| `categories` | Detection count grouped by technology category |
| `counts` | Total, visible, redacted, current, and historical detection counts |

A measured profile for `openai.com` produced this summary:

```json
{
  "domain": "openai.com",
  "technology_spend_monthly_usd": 46034,
  "counts": {
    "total": 325,
    "visible": 21,
    "redacted": 304,
    "current": 233,
    "historical": 92
  }
}
```

`technologies` contains both current and historical detections. Filter the `current` or `historical` flag rather than inferring status from dates. Anonymous profiles also count detections whose names are hidden: those entries keep their category, dates, and status with `name: null` and `redacted: true`, so totals remain honest.

Spend is the published minimum estimate, not a verified company expense. Detection dates identify when a technology was first and last observed on the profile; they do not prove a contract start or cancellation date.

# Actor input Schema

## `domains` (type: `array`):

Website domains or page links, one per line. Links are reduced to their hostnames and duplicate domains are read once.

## `maxItems` (type: `integer`):

Caps how many website profiles are saved. The default 0 reads every domain in the list.

## Actor input object example

```json
{
  "domains": [
    "openai.com",
    "shopify.com"
  ],
  "maxItems": 0
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "domains": [
        "openai.com"
    ],
    "maxItems": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/builtwith-technology-profile-scraper").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 = {
    "domains": ["openai.com"],
    "maxItems": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/builtwith-technology-profile-scraper").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 '{
  "domains": [
    "openai.com"
  ],
  "maxItems": 0
}' |
apify call thenetaji/builtwith-technology-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/builtwith-technology-profile-scraper"
        }
    }
}

```

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/xRbePnnanB4lOwWOt/builds/WE3l9nMdjBhSVwvbw/openapi.json