🚀 AI LLM Web Search - Enterprise RAG Content Extraction & Q&A

🌟 Transform Web Search into Intelligent Knowledge Extraction

AI LLM Web Search is an enterprise-grade Apify actor that revolutionizes web scraping by combining multi-engine search, intelligent content extraction, and state-of-the-art Large Language Models (LLMs) for RAG (Retrieval-Augmented Generation) workflows. Built for researchers, analysts, and developers who need accurate, AI-powered information extraction at scale.

🎯 Why Choose AI LLM Web Search?

• 🔍 Multi-Engine Intelligence: Search Google, Bing, and DuckDuckGo simultaneously
• 🧠 LLM Integration: Native support for GPT-4, Claude 3, and more
• 📊 Structured Extraction: Tables, lists, entities, and metadata
• 🌐 12+ Languages: Global content extraction and analysis
• ⚡ RAG-Optimized: Perfect for building knowledge bases and Q&A systems
• 🔒 Enterprise Ready: Rate limiting, error handling, and compliance

✨ Key Features

• Multi-Engine Search: Search across Google, Bing, and DuckDuckGo
• Intelligent Extraction: Smart content extraction with NLP capabilities
• LLM Integration: Support for GPT-3.5, GPT-4, Claude 3, and more
• Deep Crawling: Follow relevant links up to 3 levels deep
• Structured Data: Extract tables, lists, headers, and metadata
• Entity Recognition: Automatic extraction of names, dates, numbers, URLs
• Token Management: Smart chunking for optimal LLM processing
• Multiple Output Formats: Structured, full, or summary outputs
• Multi-Language Support: Extract content in 12+ languages

🎬 Quick Start Examples

1️⃣ Basic Web Search (No API Key Required)

{
    "query": "artificial intelligence trends 2024",
    "maxResults": 10,
    "extractionMode": "smart"
}

Perfect for quick content extraction without LLM processing

2️⃣ AI-Powered Question Answering

{
    "query": "quantum computing breakthroughs 2024",
    "question": "What are the top 5 quantum computing advances this year?",
    "llmModel": "gpt-4",
    "apiKey": "sk-your-openai-api-key",
    "maxResults": 15,
    "outputFormat": "structured"
}

Get precise answers with source citations

3️⃣ Deep Research with Multi-Level Crawling

{
    "query": "carbon capture technology startups",
    "question": "Which startups are leading in DAC (Direct Air Capture) technology?",
    "searchEngine": "bing",
    "maxResults": 20,
    "maxDepth": 3,
    "extractionMode": "structured",
    "llmModel": "claude-3-opus",
    "apiKey": "your-anthropic-api-key",
    "includeImages": true,
    "outputFormat": "full"
}

Deep dive into topics with multi-level link following

4️⃣ Multi-Language Research

{
    "query": "künstliche Intelligenz Trends",
    "language": "de",
    "question": "Was sind die wichtigsten KI-Entwicklungen?",
    "searchEngine": "duckduckgo",
    "llmModel": "gpt-4-turbo"
}

Research in any of 12+ supported languages

5️⃣ RAG Knowledge Base Building

{
    "query": "machine learning algorithms site:arxiv.org OR site:papers.nips.cc",
    "maxResults": 50,
    "extractionMode": "full",
    "includePDFs": true,
    "outputFormat": "structured",
    "customPrompt": "Extract key algorithms, methodologies, and performance metrics. Focus on novel approaches and breakthrough results."
}

Build comprehensive knowledge bases for RAG systems

📊 Input Parameters

Parameter	Type	Description	Default
query	string	Search query to find relevant pages	Required
question	string	Specific question for LLM to answer	-
searchEngine	string	Search engine to use (google/bing/duckduckgo)	google
maxResults	integer	Maximum search results to process (1-50)	10
maxDepth	integer	Crawl depth for following links (1-3)	1
extractionMode	string	Content extraction mode	smart
llmModel	string	AI model for processing	gpt-3.5-turbo
apiKey	string	API key for LLM service	-
includeImages	boolean	Extract image URLs	false
includePDFs	boolean	Process PDF documents	true
includeVideos	boolean	Extract video information	false
outputFormat	string	Output format (structured/full/summary)	structured
language	string	Content language preference	en
customPrompt	string	Custom LLM prompt	-
debug	boolean	Enable debug logging	false

🎯 Extraction Modes

Smart Mode

• AI-optimized extraction
• Removes boilerplate content
• Intelligent section detection
• Automatic summarization

Full Mode

• Complete page content
• All text preserved
• Comprehensive extraction

Structured Mode

• Organized into sections
• Facts, quotes, and statistics
• Hierarchical structure

Minimal Mode

• Quick summary only
• First 1000 characters
• Fast processing

🧠 Supported LLM Models

OpenAI Models

• GPT-3.5 Turbo: Fast and cost-effective
• GPT-4: High quality responses
• GPT-4 Turbo: Balance of speed and quality

Anthropic Models

• Claude 3 Haiku: Fast responses
• Claude 3 Sonnet: Balanced performance
• Claude 3 Opus: Highest quality

Default Mode

• No API key required
• Basic keyword matching
• Pattern-based extraction

📤 Output Format

{
    "query": "your search query",
    "question": "your question",
    "answer": "AI-generated answer",
    "totalPages": 15,
    "totalTokens": 45000,
    "extractedContent": [
        {
            "url": "https://example.com",
            "title": "Page Title",
            "summary": "Content summary",
            "keywords": ["keyword1", "keyword2"],
            "entities": [
                {"type": "NAME", "value": "John Doe"},
                {"type": "DATE", "value": "2024-01-15"}
            ]
        }
    ],
    "llmResponses": [
        {
            "question": "your question",
            "answer": "detailed answer",
            "evidence": ["supporting evidence"],
            "confidence": 0.85
        }
    ],
    "sources": [
        {
            "url": "https://example.com",
            "title": "Source Title",
            "relevance": 0.92
        }
    ],
    "metadata": {
        "searchEngine": "google",
        "llmModel": "gpt-4",
        "extractionMode": "smart",
        "language": "en",
        "timestamp": "2024-01-15T10:30:00Z",
        "processingTime": 15000
    }
}

🔧 Advanced Usage

Custom Prompts

{
    "query": "machine learning algorithms",
    "customPrompt": "You are a technical expert. Analyze the content and provide a detailed technical summary focusing on implementation details and performance metrics."
}

Multi-Language Research

{
    "query": "inteligencia artificial",
    "language": "es",
    "question": "¿Cuáles son las aplicaciones principales?"
}

Deep Link Following

{
    "query": "blockchain technology",
    "maxDepth": 3,
    "maxResults": 5
}

🛠️ Technical Details

Content Processing Pipeline

1. Search Phase: Query multiple search engines
2. Extraction Phase: Smart content extraction with NLP
3. Processing Phase: LLM analysis and question answering
4. Formatting Phase: Structured output generation

Text Processing Features

• Token counting and management
• Smart text chunking (4000 token chunks)
• Boilerplate removal
• Entity extraction (names, dates, numbers, URLs)
• Keyword extraction
• Automatic summarization

Performance Optimization

• Concurrent page processing
• Smart crawling depth management
• Efficient memory usage
• Token-aware processing

💼 Real-World Use Cases

🔬 Academic & Scientific Research

// Example: Literature review on quantum computing
{
    "query": "quantum error correction codes site:arxiv.org",
    "question": "What are the latest developments in topological quantum error correction?",
    "maxResults": 30,
    "llmModel": "gpt-4"
}

Benefits: Automated literature reviews, citation extraction, methodology comparison

📊 Market Intelligence & Competitive Analysis

// Example: Competitor product analysis
{
    "query": "AI chatbot companies pricing features comparison",
    "question": "Create a comparison table of top 10 AI chatbot providers",
    "extractionMode": "structured",
    "includeImages": true
}

Benefits: Real-time market monitoring, pricing intelligence, feature comparison

✅ Fact-Checking & Verification

// Example: Verify claims with sources
{
    "query": "global temperature rise statistics IPCC NASA",
    "question": "What is the exact global temperature increase since pre-industrial times?",
    "maxDepth": 2
}

Benefits: Source verification, claim validation, evidence gathering

🏥 Healthcare & Medical Research

// Example: Treatment options research
{
    "query": "CAR-T therapy clinical trials results 2024",
    "question": "What are the success rates and side effects of recent CAR-T trials?",
    "extractionMode": "structured",
    "includePDFs": true
}

Benefits: Clinical trial analysis, treatment comparison, medical literature review

💰 Investment & Due Diligence

// Example: Company background research
{
    "query": "OpenAI funding history investors valuation",
    "question": "Provide a timeline of OpenAI's funding rounds and current valuation",
    "maxResults": 25,
    "outputFormat": "structured"
}

Benefits: Investment research, risk assessment, company profiling

📰 News Aggregation & Monitoring

// Example: Real-time event tracking
{
    "query": "artificial intelligence regulation EU latest",
    "question": "What are the key provisions of the latest EU AI Act?",
    "searchEngine": "bing",
    "maxResults": 15
}

Benefits: Real-time monitoring, trend detection, regulatory tracking

🎓 Advanced Techniques & Best Practices

🔍 Search Query Optimization

// Use site operators for targeted searches
"machine learning site:github.com OR site:arxiv.org"

// Use quotes for exact phrases
"\"direct air capture\" technology companies"

// Exclude terms with minus operator
"AI chatbots -ChatGPT -Bard"

// Time-based searches
"quantum computing breakthroughs after:2024-01-01"

⚡ Performance Optimization

Strategy	Recommendation	Use Case
Query Specificity	Use 3-5 specific keywords	Better relevance
Crawl Depth	depth=1 for overview, 2-3 for research	Balance coverage/speed
Model Selection	GPT-3.5 for summaries, GPT-4 for analysis	Cost vs quality
Batch Size	10-20 results per search	Optimal processing
Token Management	Monitor usage in responses	Cost control
Caching	Reuse results when possible	Efficiency

🤖 LLM Model Selection Guide

Model	Speed	Quality	Cost	Best For
GPT-3.5 Turbo	⚡⚡⚡	⭐⭐⭐	💰	Quick summaries, basic Q&A
GPT-4	⚡⚡	⭐⭐⭐⭐⭐	💰💰💰	Complex analysis, reasoning
GPT-4 Turbo	⚡⚡⚡	⭐⭐⭐⭐⭐	💰💰	Balance of speed and quality
Claude 3 Haiku	⚡⚡⚡⚡	⭐⭐⭐	💰	Fast extraction
Claude 3 Sonnet	⚡⚡⚡	⭐⭐⭐⭐	💰💰	Balanced tasks
Claude 3 Opus	⚡⚡	⭐⭐⭐⭐⭐	💰💰💰	Research, deep analysis

🔐 Security, Privacy & Compliance

Security Features

• 🔑 Secure API Key Handling: Keys are encrypted and never logged
• 🛡️ Input Validation: All inputs sanitized to prevent injection
• 🚦 Rate Limiting: Automatic throttling to prevent abuse
• 🤖 Robot.txt Compliance: Respects website crawling rules
• 🔒 HTTPS Only: All connections use SSL/TLS encryption

Privacy Guarantees

• ✅ No data persistence after session completion
• ✅ No tracking or analytics on user queries
• ✅ GDPR and CCPA compliant
• ✅ No sharing of extracted content
• ✅ Isolated execution environment

Ethical AI Usage

• 📜 Transparent about AI model usage
• 🎯 No manipulation or bias injection
• 📊 Source attribution maintained
• ⚖️ Fair use compliance for content

🚀 Getting Started Guide

Step 1: Install from Apify Store

# Via Apify CLI
apify actor:push-to-store payai/ai-llm-web-search

# Or use directly in Apify Console

Step 2: Configure Your First Search

1. Set your search query
2. Choose extraction mode (start with "smart")
3. Add LLM API key if needed (optional)
4. Run the actor

Step 3: Process Results

// Example: Processing results in Node.js
const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('payai/ai-llm-web-search').call({
    query: 'your search query',
    question: 'your question'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);

🤝 Support & Community

Get Help

• 📧 Email: support@apify.com
• 💬 Discord: Join Apify Community
• 🐛 Issues: GitHub Issues
• 📚 Docs: Check actor documentation

Feature Requests

We welcome suggestions! Please submit via:

• GitHub Issues with [FEATURE] tag
• Apify Community Forum
• Direct feedback in actor reviews

Contributing

Contributions welcome! Areas of interest:

• Additional search engine support
• New LLM model integrations
• Language-specific improvements
• Performance optimizations

⚖️ License & Terms

License: Apache-2.0 Terms: Free to use, modify, and distribute Attribution: Please credit when using in production

🏷️ Tags

#AI #LLM #WebSearch #ContentExtraction #QuestionAnswering #Research #Automation #NLP #GPT #Claude #SearchEngine #DataExtraction #KnowledgeExtraction

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Version: 1.1.0
Last Updated: August 2025
Author: PayAI Team
Platform: Apify
Category: AI & Machine Learning
Support: support@apify.com

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