web-scraper▌
guia-matthieu/clawfu-skills · updated Apr 8, 2026
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Extract structured data from websites using BeautifulSoup and requests - turn any webpage into usable data.
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
How to use web-scraper on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add web-scraper
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches web-scraper from GitHub repository guia-matthieu/clawfu-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate web-scraper. Access the skill through slash commands (e.g., /web-scraper) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★39 reviews- ★★★★★Noah Smith· Dec 24, 2024
web-scraper has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Johnson· Dec 16, 2024
Useful defaults in web-scraper — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Pratham Ware· Dec 4, 2024
Keeps context tight: web-scraper is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 23, 2024
Registry listing for web-scraper matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Valentina Okafor· Nov 15, 2024
Useful defaults in web-scraper — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Henry Reddy· Nov 7, 2024
web-scraper has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Noah Harris· Nov 7, 2024
web-scraper fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Brown· Oct 26, 2024
Solid pick for teams standardizing on skills: web-scraper is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Oct 14, 2024
web-scraper reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Omar Park· Oct 6, 2024
I recommend web-scraper for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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