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spider

spider

github.com/johnlindquistData & databases26208 installsUpdated 45w ago
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About spider

spider is a skill for crawling websites and analyzing their pages with command-line tools and Gemini. It is intended for people who need to inspect pages, extract data, or track site changes.

Key features

  1. 01Fetch pages with curl
  2. 02Extract and filter page links
  3. 03Crawl multiple pages and sitemaps
  4. 04Analyze content with Gemini
  5. 05Extract text, structured data, and API endpoints
  6. 06Compare page changes using hashes

Use cases

  1. 01Scanning a site and reviewing response headers
  2. 02Extracting product data from web pages
  3. 03Finding API endpoints in JavaScript
  4. 04Checking whether a page has changed

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/johnlindquist/claude --skill spider

After installing, type/spiderin Claude Code to confirm it loaded.

Details

From the project README

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

  1. Respect robots.txt - Check before crawling
  2. Rate limit - Don't overwhelm servers
  3. Set User-Agent - Identify your crawler
  4. Handle errors - Sites go down, pages 404
  5. Cache responses - Don't re-fetch unnecessarily
  6. Be ethical - Only crawl what you're allowed to
  7. Check ToS - Some sites prohibit scraping

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