Stealth Search

🔍 Stealth Search

Search paywalled and protected sites when WebFetch cannot access them. Uses Chromium browser with stealth configuration to search DuckDuckGo, Google, and Bing without triggering bot detection.

Quick Start

Setup (First Time)

# Create virtual environment
cd /home/sasha/projects/[your-project]
python3 -m venv stealth-env
source stealth-env/bin/activate
pip install selenium

Basic Usage

source stealth-env/bin/activate

# Search LinkedIn profiles (DuckDuckGo recommended)
python scripts/stealth_search.py "Jason Bergman LinkedIn FragilePack"

# Search WSJ articles
python scripts/stealth_search.py "site:wsj.com 'artificial intelligence' regulation"

# Save results and screenshot
python scripts/stealth_search.py "query" --output results.json --screenshot search.png

Search Engine Selection

Default: DuckDuckGo (lowest bot detection) Fallback: Try --engine all for maximum coverage

Common Tasks

Task 1: Find LinkedIn Profile

# 1. Search for profiles
python scripts/stealth_search.py "Sarah Chen 'Chief Data Officer' Boston" --output results.json

# 2. Extract profile details
python scripts/linkedin_profile.py "https://www.linkedin.com/in/username" \
  --screenshot profile.png --output profile.json

What You Get:

• Profile URLs, name, title, location from search snippets
• Connection count
• Page screenshots

Requires Login: Full work history, education, skills

Task 2: Search Paywalled News

# Find WSJ/FT articles
python scripts/stealth_search.py "site:wsj.com OR site:ft.com 'Company Name' merger"

What You Get: Article titles, dates, authors, brief snippets Full Access: Requires subscription or library

Task 3: Multi-Engine Search

# Try all engines for comprehensive results
python scripts/stealth_search.py "query" --engine all --max-results 20

Script Reference

stealth_search.py

Main search with stealth browser configuration.

Arguments:

• query - Search query (required)
• --engine - duckduckgo (default) | google | bing | all
• --max-results - Maximum results (default: 10)
• --output - Save JSON to file
• --screenshot - Capture screenshot path

Output:

{
  "query": "search terms",
  "timestamp": "2026-02-03 10:30:00",
  "results": [
    {
      "source": "DuckDuckGo",
      "position": 1,
      "title": "Article Title",
      "url": "https://example.com/article",
      "snippet": "Description..."
    }
  ]
}

linkedin_profile.py

Extract publicly available LinkedIn information.

Arguments:

• url - LinkedIn profile URL (required)
• --output - Save JSON to file
• --screenshot - Capture screenshot path

Site-Specific Strategies

For detailed guidance on LinkedIn, WSJ, and other sites, see references/site-specific-guide.md.

Key Points:

• LinkedIn: DuckDuckGo best, search snippets contain key info
• WSJ: Get metadata from search, need subscription for full text
• Professional Networks: Most require auth, extract from search results
• Public Sites: Any engine works

Stealth Configuration

Scripts use these techniques to avoid detection:

--headless=new                           # New headless mode
--disable-blink-features=AutomationControlled
excludeSwitches: ["enable-automation"]   # Remove automation flags
Custom user agent                        # Realistic browser fingerprint
Remove webdriver property                # Hide Selenium

Note: DuckDuckGo has lowest detection rate. Google may still detect automation.

Workflow Patterns

Research Person's Background

1. Search DuckDuckGo: "{name}" LinkedIn {company}
2. Extract profile URLs from results
3. Visit profiles for verification
4. Capture screenshots
5. Note: Deep details require login

Find Company Coverage

1. Search: site:wsj.com OR site:bloomberg.com "{Company}"
2. Extract titles and dates
3. Assess relevance
4. Access full articles via subscription

Verify Executive Info

1. Search LinkedIn with name + company
2. Review snippets
3. Visit profile URL if public
4. Cross-reference sources
5. Document with screenshots

Limitations

Cannot Do:

❌ Bypass paywalls - Full content needs subscription ❌ Access authenticated content - Login-required data not available ❌ Mass scraping - Individual lookups only ❌ Circumvent legal restrictions - Legitimate research only

Expected Behaviors:

✅ Some sites require login - Extract from search results ✅ Limited profile data - Full LinkedIn history needs auth ✅ Occasional detection - Google may block; use DuckDuckGo ✅ Slower than WebFetch - Browser overhead

Ethical Guidelines

Appropriate:

• Business intelligence
• Hiring verification
• Competitive analysis
• News monitoring
• Public information gathering

Not Appropriate:

• Bypassing authentication
• Mass scraping protected content
• Violating terms of service
• Unauthorized data collection

Best Practices:

• Respect rate limits (1-3 sec delays)
• Only collect public information
• Follow site ToS
• Use for legitimate purposes
• Document sources

Troubleshooting

"Automation Detected"

Solution: Use DuckDuckGo (lower detection), increase delays

"Login Required"

Expected: Extract metadata from search results instead

No Results Found

Check: Query syntax, site domain, try different engine

Browser Errors

• Install Chromium: apt-get install chromium-browser
• Install Selenium: pip install selenium
• Activate venv: source stealth-env/bin/activate

Examples

# LinkedIn search
python scripts/stealth_search.py "Jane Doe LinkedIn 'VP Engineering' Seattle"

# WSJ company search
python scripts/stealth_search.py "site:wsj.com 'Acme Corp' acquisition" --output wsj.json

# Profile extraction
python scripts/linkedin_profile.py "https://www.linkedin.com/in/username" --screenshot profile.png

# Multi-site news
python scripts/stealth_search.py "site:wsj.com OR site:ft.com 'AI regulation'" --max-results 20

Summary: StealthSearch enables research on paywalled sites by extracting metadata from search results. Use DuckDuckGo for best reliability, respect limitations, follow ethical guidelines.