spider
Web crawling and scraping with analysis. Use for crawling websites, security scanning, and extracting information from web pages.
When & Why to Use This Skill
The Spider skill is a comprehensive web crawling and scraping engine that integrates AI-powered analysis to transform raw web data into actionable insights. It enables automated navigation, structured data extraction, and technical auditing of websites, making it an essential tool for developers, researchers, and security professionals looking to automate web-based workflows.
Use Cases
- Structured Data Extraction: Automatically crawling e-commerce or directory sites to extract product details, pricing, and metadata into clean JSON formats for database integration.
- Automated Security Auditing: Scanning web headers and page content to identify missing security protocols (CSP, HSTS), exposed sensitive information, and potential script vulnerabilities.
- SEO and Content Analysis: Utilizing AI to analyze page titles, meta tags, and internal link structures to provide optimization recommendations and site architecture maps.
- Competitive Intelligence & Monitoring: Tracking website changes by comparing page hashes and content updates to stay informed about competitor movements or site defacements.
- Technical Discovery: Extracting API endpoints and JavaScript dependencies from web applications to understand underlying infrastructure and integration points.
| name | spider |
|---|---|
| description | Web crawling and scraping with analysis. Use for crawling websites, security scanning, and extracting information from web pages. |
Web Spider
Crawl and analyze websites.
Prerequisites
# curl for fetching
curl --version
# Gemini for analysis
pip install google-generativeai
export GEMINI_API_KEY=your_api_key
# Optional: better HTML parsing
npm install -g puppeteer
pip install beautifulsoup4
Basic Crawling
Fetch Page
# Simple fetch
curl -s "https://example.com"
# With headers
curl -s -H "User-Agent: Mozilla/5.0" "https://example.com"
# Follow redirects
curl -sL "https://example.com"
# Save to file
curl -s "https://example.com" -o page.html
# Get headers only
curl -sI "https://example.com"
# Get headers and body
curl -sD - "https://example.com"
Extract Links
# Extract all links from a page
curl -s "https://example.com" | grep -oE 'href="[^"]*"' | sed 's/href="//;s/"$//'
# Filter to specific domain
curl -s "https://example.com" | grep -oE 'href="https?://example\.com[^"]*"'
# Unique links
curl -s "https://example.com" | grep -oE 'href="[^"]*"' | sort -u
Quick Site Scan
#!/bin/bash
URL=$1
echo "=== Scanning: $URL ==="
echo ""
echo "### Response Info ###"
curl -sI "$URL" | head -20
echo ""
echo "### Links Found ###"
curl -s "$URL" | grep -oE 'href="[^"]*"' | sort -u | head -20
echo ""
echo "### Scripts ###"
curl -s "$URL" | grep -oE 'src="[^"]*\.js[^"]*"' | sort -u
echo ""
echo "### Meta Tags ###"
curl -s "$URL" | grep -oE '<meta[^>]*>' | head -10
AI-Powered Analysis
Page Analysis
CONTENT=$(curl -s "https://example.com")
gemini -m pro -o text -e "" "Analyze this webpage:
$CONTENT
Provide:
1. What is this page about?
2. Key information/content
3. Navigation structure
4. Technical observations (framework, libraries)
5. SEO observations"
Security Scan
URL="https://example.com"
# Gather information
HEADERS=$(curl -sI "$URL")
CONTENT=$(curl -s "$URL" | head -1000)
gemini -m pro -o text -e "" "Security scan this website:
URL: $URL
HEADERS:
$HEADERS
CONTENT SAMPLE:
$CONTENT
Check for:
1. Missing security headers (CSP, HSTS, X-Frame-Options)
2. Exposed sensitive information
3. Potential vulnerabilities in scripts/forms
4. Cookie security settings
5. HTTPS configuration"
Extract Structured Data
CONTENT=$(curl -s "https://example.com/products")
gemini -m pro -o text -e "" "Extract structured data from this page:
$CONTENT
Extract into JSON format:
- Product names
- Prices
- Descriptions
- Any available metadata"
Multi-Page Crawling
Crawl and Analyze
#!/bin/bash
BASE_URL=$1
MAX_PAGES=${2:-10}
# Get initial links
LINKS=$(curl -s "$BASE_URL" | grep -oE "href=\"$BASE_URL[^\"]*\"" | sed 's/href="//;s/"$//' | sort -u | head -$MAX_PAGES)
echo "Found $(echo "$LINKS" | wc -l) pages"
for link in $LINKS; do
echo ""
echo "=== $link ==="
TITLE=$(curl -s "$link" | grep -oE '<title>[^<]*</title>' | sed 's/<[^>]*>//g')
echo "Title: $TITLE"
done
Sitemap Processing
# Fetch and parse sitemap
curl -s "https://example.com/sitemap.xml" | grep -oE '<loc>[^<]*</loc>' | sed 's/<[^>]*>//g'
# Crawl pages from sitemap
curl -s "https://example.com/sitemap.xml" | \
grep -oE '<loc>[^<]*</loc>' | \
sed 's/<[^>]*>//g' | \
while read url; do
echo "Processing: $url"
# Your processing here
done
Specific Extractions
Extract Text Content
# Remove HTML tags (basic)
curl -s "https://example.com" | sed 's/<[^>]*>//g' | tr -s ' \n'
# Using python
curl -s "https://example.com" | python3 -c "
from html.parser import HTMLParser
import sys
class TextExtractor(HTMLParser):
def __init__(self):
super().__init__()
self.text = []
def handle_data(self, data):
self.text.append(data.strip())
p = TextExtractor()
p.feed(sys.stdin.read())
print(' '.join(filter(None, p.text)))
"
Extract API Endpoints
CONTENT=$(curl -s "https://example.com/app.js")
# Find API calls in JS
echo "$CONTENT" | grep -oE "(fetch|axios|http)\(['\"][^'\"]*['\"]" | sort -u
# AI extraction
gemini -m pro -o text -e "" "Extract API endpoints from this JavaScript:
$CONTENT
List all:
- API URLs
- HTTP methods used
- Request patterns"
Monitor Changes
#!/bin/bash
URL=$1
HASH_FILE="/tmp/page-hash-$(echo $URL | md5sum | cut -d' ' -f1)"
CURRENT=$(curl -s "$URL" | md5sum | cut -d' ' -f1)
if [ -f "$HASH_FILE" ]; then
PREVIOUS=$(cat "$HASH_FILE")
if [ "$CURRENT" != "$PREVIOUS" ]; then
echo "Page changed: $URL"
# Notify or log
fi
fi
echo "$CURRENT" > "$HASH_FILE"
Best Practices
- Respect robots.txt - Check before crawling
- Rate limit - Don't overwhelm servers
- Set User-Agent - Identify your crawler
- Handle errors - Sites go down, pages 404
- Cache responses - Don't re-fetch unnecessarily
- Be ethical - Only crawl what you're allowed to
- Check ToS - Some sites prohibit scraping