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🚀 Hyper-Reader: The Agentic Web Bridge

Stop feeding your LLM messy HTML. Hyper-Reader delivers high-fidelity, ad-free content optimized for Claude, GPT-4, and Gemini with sub-second response times.

Built by Jason Pellerin AI Solutionist — the same engineering behind enterprise AI voice agents and automation systems.

Why Hyper-Reader?

🎯 Agent Presets

Choose your target LLM for optimized output:

Claude (Default)

<document>
<metadata>
<title>Article Title</title>
<author>John Doe</author>
<published>2024-01-15</published>
<source>https://example.com/article</source>
</metadata>
<content>
 # Main Heading
 Clean, structured Markdown content...
</content>
</document>

GPT-4

# Article Title
> Source: https://example.com/article
> Author: John Doe | Published: 2024-01-15
Content with inline citations [1] and reference links...
---
## References
[1]: https://example.com/article "Original Source"

Gemini

Compact Markdown optimized for Gemini's context window with aggressive token optimization.

SearchGPT

Web-search optimized format with prominent source attribution and fact-checkable structure.

⚡ Standby Mode

Enable Standby Mode for instant API responses. Your Actor stays warm and ready:

# Response time: ~1 second vs 30+ seconds cold start
curl-X POST "https://YOUR_ACTOR_STANDBY_URL/extract"\
-H"Content-Type: application/json"\
-d'{"url": "https://example.com", "agentPreset": "Claude"}'

Perfect for:

• Real-time AI assistants
• MCP tool integrations
• Cursor/Claude Desktop extensions
• n8n and automation workflows

🛡️ Stealth Levels

Level 1: Basic

• Standard datacenter proxies
• Basic header rotation
• Best for: Blogs, news sites, documentation

Level 2: Standard (Default)

• Residential proxy rotation
• Browser fingerprint randomization
• WebGL/Canvas spoofing
• Best for: E-commerce, social media, most protected sites

Level 3: Elite

• Premium residential proxies
• Human-like mouse movements
• Session persistence
• Full anti-fingerprinting
• Best for: LinkedIn, Amazon, heavily protected sites

🔍 Deep Read

Gather comprehensive context by following internal links:

{
"url":"https://example.com/product",
"deepReadDepth":2,
"deepReadMaxPages":10
}

Returns aggregated content from the main page plus related pages (About, FAQ, Reviews, etc.) in a single, structured document.

📸 Vision Screenshots

Capture page screenshots for Vision model analysis:

{
"url":"https://example.com",
"useVision":true
}

Returns a 1280x720 optimized PNG stored in Apify's Key-Value Store, perfect for GPT-4V, Claude Vision, or Gemini Pro Vision.

Input Schema

Output Structure

{
"url":"https://example.com/article",
"finalUrl":"https://example.com/article/",
"format":"markdown",
"agentPreset":"Claude",
"content":"# Article Title\n\nClean markdown content...",
"metadata":{
"title":"Article Title",
"author":"John Doe",
"publishDate":"2024-01-15",
"description":"Article description...",
"wordCount":1500,
"readingTimeMinutes":7
},
"screenshotUrl":"https://api.apify.com/v2/key-value-stores/.../screenshot.png",
"processingTimeMs":2340,
"charCount":8500,
"extractedAt":"2024-01-15T10:30:00.000Z"
}

Use Cases

🤖 AI Agent Research

// Feed clean web data to your AI agent
const result =awaitclient.call('ai_solutionist/hyper-reader',{
url:'https://docs.example.com/api',
agentPreset:'Claude'
});
// result.content is ready for your LLM context

📊 Competitive Intelligence

// Extract competitor pages with deep context
const result =awaitclient.call('ai_solutionist/hyper-reader',{
url:'https://competitor.com/pricing',
deepReadDepth:2,
agentPreset:'GPT-4'
});

🔗 MCP Tool Integration

{
"mcpServers":{
"hyper-reader":{
"command":"npx",
"args":["-y","@anthropic-ai/mcp-apify"],
"env":{
"APIFY_TOKEN":"your_token",
"ACTOR_ID":"ai_solutionist/hyper-reader"
}
}
}
}

📰 News Aggregation

// Batch extract multiple articles
const result =awaitclient.call('ai_solutionist/hyper-reader',{
urls:[
'https://news.site/article1',
'https://news.site/article2',
'https://news.site/article3'
],
agentPreset:'Gemini',
outputFormat:'json'
});

Pricing

Support

• Documentation: jasonpellerin.com/hyper-reader
• Issues: Open an issue on GitHub
• Enterprise: Contact Jason Pellerin

Built with 🔥 by Jason Pellerin AI Solutionist

Transforming web chaos into agent-ready intelligence.

Build timestamp: Sun Jan 18 16:29:53 MST 2026