From 10 Hours to 10 Minutes: Automating Research with CrawlForge Deep Research

// One command to research any topic:
await deepResearch({
  topic: "Current state of quantum computing commercialization",
  maxDepth: 5,
  maxUrls: 50,
  enableSourceVerification: true,
  enableConflictDetection: true,
  enableSynthesis: true,
  credibilityThreshold: 0.3
});

// In Claude Code:
"Use deep_research to analyze the web scraping tools market in 2026.
Include market size, key players, pricing trends, and technology trends.
Verify all claims across multiple sources and flag any conflicts."

// Configuration used:
{
  "topic": "web scraping tools market analysis 2026",
  "maxUrls": 50,
  "researchApproach": "broad",
  "enableSourceVerification": true,
  "enableConflictDetection": true,
  "outputFormat": "comprehensive"
}

# Web Scraping Tools Market Analysis 2026

## Executive Summary
The web scraping tools market reached $X billion in 2026, growing at
Y% CAGR. Key trends include AI integration, MCP protocol adoption,
and shift toward managed services.

## Market Size & Growth
- 2026 Market Size: $X billion [Source: Statista, Grand View Research]
- CAGR 2026-2030: Y% [Source: Markets and Markets]
- ⚠️ CONFLICT: Gartner estimates X+0.5B, while Statista estimates X-0.3B

## Key Players
| Company | Est. Market Share | Key Differentiator |
|---------|-------------------|-------------------|
| Bright Data | 25-30% | Largest proxy network |
| Apify | 15-20% | Actor marketplace |
| ScraperAPI | 10-15% | Simplicity |
| Firecrawl | 5-10% | AI focus |
| CrawlForge | New entrant | MCP native, 20 tools |

## Pricing Trends
- Average price per 1000 requests: $X-Y
- Trend: Moving toward credit-based pricing
- Enterprise deals increasingly common

## Technology Trends
1. AI/LLM Integration (mentioned in 23/50 sources)
2. MCP Protocol Adoption (mentioned in 12/50 sources)
3. Anti-bot evasion (mentioned in 34/50 sources)
4. Headless browser optimization (mentioned in 18/50 sources)

## 2026 Predictions
- Market expected to reach $X billion
- Consolidation expected among mid-tier players
- AI-native tools to capture 30%+ market share

---
## Source Credibility Scores
| Source | Credibility | Type |
|--------|-------------|------|
| Statista | 0.9 | Data Provider |
| Gartner | 0.95 | Analyst |
| TechCrunch | 0.7 | News |
| Company Websites | 0.6 | Commercial |

## Detected Conflicts
1. Market size estimates vary by ±$500M between Gartner and Statista
2. Growth rate estimates: Optimistic (15%) vs Conservative (8%)

## All Sources (50)
1. https://statista.com/...
2. https://gartner.com/...
[...]

// Broad research (default) - good for market analysis
{ "researchApproach": "broad" }

// Focused research - good for specific questions
{ "researchApproach": "focused" }

// Academic research - prioritizes scholarly sources
{ "researchApproach": "academic" }

// Current events - prioritizes recent news
{ "researchApproach": "current_events" }

// Comparative - good for X vs Y analysis
{ "researchApproach": "comparative" }

{
  "sourceTypes": ["academic", "news", "government"]
  // Options: academic, news, government, commercial, blog, wiki, any
}

{
  "credibilityThreshold": 0.5  // Only include sources scoring > 0.5
  // Range: 0.0 (all sources) to 1.0 (only highest credibility)
}

// Full report with all details
{ "outputFormat": "comprehensive" }

// Quick summary only
{ "outputFormat": "summary" }

// Just the sources and citations
{ "outputFormat": "citations_only" }

// Focus on disagreements between sources
{ "outputFormat": "conflicts_focus" }

"Research [Company Name] for due diligence:
- Company history and founding team
- Funding history and investors
- Product/service overview
- Recent news and press
- Customer reviews and complaints
- Competitors and market position
Flag any red flags or concerning information."

"Deep research on [Competitor] vs [Our Company]:
- Feature comparison
- Pricing comparison
- Customer sentiment
- Recent developments
- Market positioning"

"Research the current state of [Technology]:
- How it works (technical overview)
- Current adoption levels
- Key players and implementations
- Limitations and challenges
- Future outlook"

"Research [Stock/Crypto] for investment:
- Fundamental analysis
- Recent news and developments
- Analyst opinions (aggregate bull/bear cases)
- Risk factors
- ⚠️ Important: Flag conflicting analyst opinions"

"Literature review on [Topic]:
- Use academic source filter
- Key papers and authors
- Main findings and consensus
- Open questions and debates
- Recent developments (past 2 years)"

{
  "researchApproach": "academic",
  "sourceTypes": ["academic"],
  "credibilityThreshold": 0.7
}

{
  "enableConflictDetection": true
}

## Detected Conflicts

### Conflict 1: Market Size Estimates
- **Position A:** $5.2 billion (Statista, Forbes)
- **Position B:** $7.1 billion (Grand View Research)
- **Resolution:** Difference may be due to market definition scope

### Conflict 2: Company Valuation
- **Position A:** Valued at $500M (TechCrunch, 2024)
- **Position B:** Valued at $750M (Company press release, 2026)
- **Resolution:** Valuation increased between reports

// Too broad (may return unfocused results):
"Research AI"

// Better:
"Research the current state of AI code generation tools,
focusing on GitHub Copilot, Cursor, and Claude Code"

// Quick overview (faster, cheaper):
{ "maxDepth": 2, "maxUrls": 20 }  // ~5 credits worth

// Comprehensive research (thorough):
{ "maxDepth": 5, "maxUrls": 50 }  // 10 credits

// Exhaustive (for critical decisions):
{ "maxDepth": 10, "maxUrls": 100 }  // May exceed 10 credits

{
  "includeRecentOnly": true  // Focus on recent sources
}

"Verify the claim that [specific claim] by checking:
1. Primary source (if cited)
2. At least 2 independent sources
3. Any official documentation"

// 1. Deep research for initial findings (10 credits)
"Deep research on [topic]"

// 2. Follow up with specific URL scraping (1-2 credits each)
"Fetch the full report from [url mentioned in research]"

// 3. Monitor for updates (3 credits)
"Track changes on [source url] and alert me to updates"

# 1. Sign up for free (1,000 credits)
# Visit: https://crawlforge.dev/signup

# 2. Set up CrawlForge MCP
npm install -g crawlforge-mcp-server
npx crawlforge-setup

# 3. In Claude Code, try:
"Deep research on [your topic of interest]"