Clawfu-skills web-scraper

Extract structured data from websites. Use when: collecting competitor pricing; scraping product listings; extracting contact information; gathering research data; monitoring website changes

install

source · Clone the upstream repo

git clone https://github.com/guia-matthieu/clawfu-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/guia-matthieu/clawfu-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/automation/web-scraper" ~/.claude/skills/guia-matthieu-clawfu-skills-web-scraper && rm -rf "$T"

manifest: skills/automation/web-scraper/SKILL.md

source content

Web Scraper

Extract structured data from websites using BeautifulSoup and requests - turn any webpage into usable data.

When to Use This Skill

Competitor research - Scrape pricing, features, positioning
Lead generation - Extract contact info from directories
Content audit - Pull headings, links, meta data
Price monitoring - Track competitor pricing changes
Data collection - Gather research data from multiple sources

What Claude Does vs What You Decide

Claude Does	You Decide
Structures analysis frameworks	Strategic priorities
Synthesizes market data	Competitive positioning
Identifies opportunities	Resource allocation
Creates strategic options	Final strategy selection
Suggests implementation approaches	Execution decisions

Dependencies

pip install beautifulsoup4 requests pandas click lxml

Commands

Scrape Elements

python scripts/main.py scrape https://example.com --selector "h1,h2,p"
python scripts/main.py scrape https://example.com --selector ".product-price"

Extract Links

python scripts/main.py links https://example.com
python scripts/main.py links https://example.com --internal-only

Extract Emails

python scripts/main.py emails https://example.com
python scripts/main.py emails https://example.com --depth 2

Extract Structured Data

python scripts/main.py structured https://example.com/article --schema article
python scripts/main.py structured https://example.com/product --schema product

Examples

Example 1: Scrape Competitor Pricing

python scripts/main.py scrape https://competitor.com/pricing --selector ".price,.plan-name"

# Output:
# Extracted 6 elements
# 1. Starter - $29/mo
# 2. Pro - $99/mo
# 3. Enterprise - Contact us

Example 2: Extract Article Content

python scripts/main.py structured https://blog.example.com/post --schema article

# Output: article_data.json
# {
#   "title": "How to Scale Your Startup",
#   "author": "Jane Doe",
#   "date": "2024-01-15",
#   "content": "...",
#   "word_count": 1523
# }

CSS Selector Reference

Selector	Description	Example
`tag`	Element type	`h1` , `p` , `div`
`.class`	Class name	`.price` , `.title`
`#id`	Element ID	`#main-content`
`tag.class`	Tag with class	`div.product`
`tag[attr]`	Has attribute	`a[href]`
`parent > child`	Direct child	`ul > li`
`tag1, tag2`	Multiple	`h1, h2, h3`

Ethical Scraping Guidelines

Check robots.txt - Respect site's scraping policy
Rate limit - Don't overload servers (1-2 req/sec)
Identify yourself - Use descriptive User-Agent
Cache requests - Don't re-scrape unchanged pages
Terms of Service - Check if scraping is allowed

Skill Boundaries

What This Skill Does Well

Structuring strategic analysis
Identifying market opportunities
Creating strategic frameworks
Synthesizing competitive data

What This Skill Cannot Do

Replace market research
Guarantee strategic success
Know proprietary competitor info
Make executive decisions

Related Skills

competitor-monitor - Monitor competitor changes
pdf-extractor - Extract from PDFs

Skill Metadata

Mode: centaur

category: automation
subcategory: data-extraction
dependencies: [beautifulsoup4, requests, pandas]
difficulty: intermediate
time_saved: 5+ hours/week