# Website Metadata Bulk Extractor (`botflowtech/website-metadata-bulk-extractor`) Actor

Extract SEO metadata, Open Graph tags, Twitter cards, and detect 50+ technologies from any website URL in bulk. Fast concurrent processing with retry logic.

- **URL**: https://apify.com/botflowtech/website-metadata-bulk-extractor.md
- **Developed by:** [BotFlowTech](https://apify.com/botflowtech) (community)
- **Categories:** SEO tools, Automation
- **Stats:** 57 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

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

## Website Metadata Bulk Extractor

> **Extract metadata, detect technology stacks, and analyze any website at scale — CMS, frameworks, analytics, CDN, hosting, and 50+ technologies.**

### What does Website Metadata Bulk Extractor do?

Website Metadata Bulk Extractor is a powerful Apify actor that analyzes websites to detect their full technology stack. It identifies content management systems, JavaScript frameworks, analytics tools, CDN providers, hosting platforms, e-commerce solutions, and marketing/CRM tools. Process hundreds or thousands of URLs in a single run.

**Perfect for:** SEO audits, competitive research, sales prospecting, market research, lead generation, and technology landscape analysis.

### Key Features

- **50+ technology detections** — CMS, frameworks, analytics, CDN, hosting, e-commerce, and marketing tools
- **Bulk processing** — analyze thousands of websites in a single run
- **CSS framework detection** — Bootstrap, Tailwind CSS, Bulma, Foundation
- **Server & infrastructure info** — server headers, powered-by, HTTPS status
- **Mobile responsiveness check** — viewport meta tag detection
- **Language detection** — HTML lang attribute extraction
- **Script analysis** — counts and lists external scripts
- **PPE monetization** — pay-per-event pricing support for Apify marketplace
- **Error resilience** — automatic retries with graceful failure handling

### Technologies Detected

#### Content Management Systems (CMS)

WordPress, Shopify, Wix, Squarespace, Webflow, Drupal, Joomla, Magento, PrestaShop, BigCommerce

#### JavaScript Frameworks

React, Vue.js, Angular, Next.js, Nuxt.js, Svelte, jQuery

#### Analytics & Tracking

Google Analytics, Google Tag Manager, Facebook Pixel, Hotjar, Mixpanel, Segment

#### CDN & Infrastructure

Cloudflare, Fastly, Akamai, Amazon CloudFront, jsDelivr, unpkg

#### Hosting Providers

Vercel, Netlify, AWS, GitHub Pages, Heroku

#### E-commerce

WooCommerce, Stripe, PayPal

#### Marketing & CRM

HubSpot, Mailchimp, Intercom, Drift, Zendesk

#### Additional

CSS Frameworks (Bootstrap, Tailwind, Bulma, Foundation), server software, mobile responsiveness, HTTPS status, language detection

### Input

```json
{
    "urls": [
        "https://www.shopify.com",
        "https://www.apple.com",
        "https://www.stripe.com"
    ],
    "maxRequestsPerCrawl": 1000
}
```

#### Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `urls` | array | Yes | — | List of website URLs to analyze |
| `maxRequestsPerCrawl` | integer | No | 1000 | Maximum number of websites to process |

### Output

Each URL produces a result object in the dataset:

```json
{
    "url": "https://www.shopify.com",
    "cms": ["Shopify"],
    "frameworks": ["React", "Next.js"],
    "analytics": ["Google Analytics", "Google Tag Manager"],
    "cdn": ["Cloudflare", "Amazon CloudFront"],
    "hosting": [],
    "ecommerce": ["Stripe"],
    "marketing": ["HubSpot"],
    "cssFrameworks": ["Tailwind CSS"],
    "server": "cloudflare",
    "poweredBy": null,
    "generator": null,
    "language": "en",
    "isMobileResponsive": true,
    "isHttps": true,
    "scriptCount": 24,
    "topScripts": ["https://cdn.shopify.com/..."],
    "detectedCount": 7,
    "scrapedAt": "2026-03-16T12:00:00.000Z"
}
```

If an error occurs for a URL:

```json
{
    "url": "https://example-down.com",
    "error": "Failed to fetch website",
    "cms": [],
    "frameworks": [],
    "analytics": [],
    "detectedCount": 0,
    "scrapedAt": "2026-03-16T12:00:00.000Z"
}
```

### Use Cases

- **SEO Audits** — Analyze technology stacks across multiple client websites
- **Sales Prospecting** — Find companies using specific CMS or e-commerce platforms
- **Competitive Research** — Discover which technologies competitors are using
- **Market Research** — Analyze technology adoption trends across industries
- **Lead Generation** — Build targeted prospect lists filtered by tech stack
- **Data Enrichment** — Add technology metadata to existing URL or company datasets
- **Migration Planning** — Identify websites on legacy platforms for upgrade pitches
- **Content Marketing** — Research technology landscape for industry reports

### Pricing

This actor supports **Pay-Per-Event (PPE)** pricing on the Apify marketplace. You are charged per successfully analyzed website. The actor automatically stops processing when your budget limit is reached, so you never overspend.

Free tier usage is also supported — the actor works the same way without PPE, storing all results in the dataset.

### FAQ

**Q: How many URLs can I process at once?**
A: The default limit is 1,000 URLs per run, but you can increase `maxRequestsPerCrawl` for larger batches.

**Q: What if a website blocks the request?**
A: The actor uses realistic browser headers and automatic retries. Most websites respond successfully.

**Q: Does it work with Single Page Applications (SPAs)?**
A: Yes! The actor detects SPA frameworks (React, Vue, Angular, Next.js) through HTML markers, script references, and meta tags present in the initial response.

**Q: How accurate is the detection?**
A: Detection uses multiple signature patterns per technology to minimize false positives. Accuracy is typically 90%+ for major platforms.

**Q: How is PPE pricing calculated?**
A: Each website analyzed (success or error) counts as one `metadata-extracted` event. You set your budget limit, and the actor stops when it's reached.

### Keywords

website metadata extractor, bulk SEO metadata, og tags scraper, meta tags extractor, website title description extractor, technology stack detector, CMS detector, framework detection, analytics detection, website technology analyzer, tech stack finder, bulk website analysis, competitive intelligence tool

# Actor input Schema

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

List of website URLs to analyze for metadata and technology stack

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of websites to process

## Actor input object example

```json
{
  "urls": [
    "https://www.shopify.com",
    "https://www.apple.com",
    "https://www.stripe.com"
  ],
  "maxRequestsPerCrawl": 1000
}
```

# 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://www.shopify.com",
        "https://www.apple.com",
        "https://www.stripe.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("botflowtech/website-metadata-bulk-extractor").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://www.shopify.com",
        "https://www.apple.com",
        "https://www.stripe.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("botflowtech/website-metadata-bulk-extractor").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://www.shopify.com",
    "https://www.apple.com",
    "https://www.stripe.com"
  ]
}' |
apify call botflowtech/website-metadata-bulk-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,botflowtech/website-metadata-bulk-extractor"
        }
    }
}
```

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/HCWOs4yEk6uumLVuY/builds/FywRKRuHwxAaQXdN1/openapi.json