# Content Intelligence Extractor (`whole_butterwort/content-intelligence-extractor`) Actor

- **URL**: https://apify.com/whole_butterwort/content-intelligence-extractor.md
- **Developed by:** [Gerald](https://apify.com/whole_butterwort) (community)
- **Categories:** AI, Agents, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 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

## Content Intelligence Extractor

Extracts clean, structured content from any web page using Playwright browser rendering. Perfect for content analysis, SEO research, data collection, and AI training data preparation.

### Features

- **Full text extraction** - Gets all visible text from rendered pages
- **Metadata capture** - Extracts title, meta tags, Open Graph data
- **Image collection** - Collects image URLs and alt text
- **Link extraction** - Gathers all outbound links with anchor text
- **JavaScript rendering** - Uses Playwright for dynamic/spa pages
- **Batch processing** - Process multiple URLs in a single run
- **Structured JSON output** - Ready for downstream processing

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `urls` | Array | Yes | List of URLs to extract |
| `extractImages` | Boolean | No | Extract image URLs (default: true) |
| `extractLinks` | Boolean | No | Extract link URLs (default: true) |
| `maxPageCount` | Integer | No | Max pages to extract (default: 10) |

### Output

Each page returns a JSON object with:

- `url` - Source URL
- `title` - Page title
- `contentLength` - Character count of extracted text
- `textPreview` - First 2000 chars of content
- `fullText` - Complete page text (up to 50k chars)
- `metaTags` - Meta tag name/content pairs
- `images` - Image URLs with alt text
- `links` - Outbound links with anchor text

### Use Cases

- Content aggregation and monitoring
- SEO competitive analysis
- AI/LLM training data collection
- News and blog content tracking
- E-commerce product data extraction
- Research data gathering

### Pricing

This actor is free to use. You only pay for Apify platform usage (compute units).

# Actor input Schema

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

List of URLs to extract content from

## `extractImages` (type: `boolean`):

Whether to extract image URLs from the page

## `extractLinks` (type: `boolean`):

Whether to extract links from the page

## `maxPageCount` (type: `integer`):

Maximum number of pages to extract

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://example.com"
    }
  ],
  "extractImages": true,
  "extractLinks": true,
  "maxPageCount": 10
}
```

# 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": [
        {
            "url": "https://example.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("whole_butterwort/content-intelligence-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": [{ "url": "https://example.com" }] }

# Run the Actor and wait for it to finish
run = client.actor("whole_butterwort/content-intelligence-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": [
    {
      "url": "https://example.com"
    }
  ]
}' |
apify call whole_butterwort/content-intelligence-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,whole_butterwort/content-intelligence-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/Sclu0vtFxk1JgKoc0/builds/1VRig2iHXJjPy0BZb/openapi.json