Install
$ agentstack add skill-gauss314-skills-marketwatch ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
MarketWatch — Financial Data Scraper
Scraper de MarketWatch que extrae quotes en tiempo real, financial statements (income, balance sheet, cash flow), SEC filings, analyst estimates, options chain y historical prices para acciones US y ADRs globales.
No requiere API key. Los datos se extraen del HTML de las páginas públicas.
⚠️ Aviso Legal
- MarketWatch no tiene API pública oficial. Este scraper accede a datos públicamente disponibles en la web.
- MarketWatch usa Datadome para protección anti-bot. El scraper utiliza headers de navegador completo para bypass.
- Respetá los términos de servicio de MarketWatch.
- Implementá rate limiting (mín 3 segundos entre requests, recomendado 5s).
- El sitio puede cambiar su estructura HTML, rompiendo el scraper.
Instalación
pip install requests beautifulsoup4
Scripts
| Script | Descripción | |--------|-------------| | [fetchmarketwatch.py](./scripts/fetchmarketwatch.py) | Script principal: todos los endpoints |
Uso rápido
# Quote + perfil de compañía
python scripts/fetch_marketwatch.py --ticker AAPL --quote --profile
# Income statement anual (por defecto)
python scripts/fetch_marketwatch.py --ticker MSFT --income
# Income statement trimestral
python scripts/fetch_marketwatch.py --ticker AAPL --income --quarterly
# Balance sheet + cash flow trimestral
python scripts/fetch_marketwatch.py --ticker NVDA --balance --cashflow --quarterly
# Todos los financials (income + balance + cashflow)
python scripts/fetch_marketwatch.py --ticker AAPL --financials
# SEC filings (10-K, 10-Q, 8-K)
python scripts/fetch_marketwatch.py --ticker AAPL --sec-filings
# Analyst estimates + target price
python scripts/fetch_marketwatch.py --ticker AAPL --analyst
# Options chain
python scripts/fetch_marketwatch.py --ticker AAPL --options
# Historical OHLCV
python scripts/fetch_marketwatch.py --ticker AAPL --historical
# Todo lo disponible
python scripts/fetch_marketwatch.py --ticker GGAL --all
# A JSON
python scripts/fetch_marketwatch.py --ticker AAPL --all --output aapl.json
# Control de rate limiting
python scripts/fetch_marketwatch.py --ticker AAPL --quote --delay 5
Endpoints disponibles
| Flag | Data | Frecuencia | Períodos | |------|------|------------|----------| | --quote | Precio, cambio, performance (5d, 1m, YTD) | Tiempo real | 1 snapshot | | --profile | Ratios clave, sector, industria, empleados | Actual | 1 snapshot | | --income | Income Statement | Anual / Trimestral | ~5 años | | --balance | Balance Sheet | Anual / Trimestral | ~5 años | | --cashflow | Cash Flow Statement | Anual / Trimestral | ~5 años | | --financials | Income + Balance + Cash Flow (atajo) | Según --quarterly | ~5 años | | --sec-filings | SEC filings (10-K, 10-Q, 8-K) | Histórico | ~20+ entradas | | --analyst | Estimaciones, target price, recomendaciones | Trimestral/anual | ~15+ campos | | --options | Options chain (calls/puts por strike) | Fechas de expiración | Todas disponibles | | --historical | OHLCV histórico diario | Diario | ~1-3 meses | | --all | Todos los anteriores | Según --quarterly | - |
Datos disponibles por endpoint
Quote
Precio actual, cambio ($), cambio (%), Close anterior, y tabla de performance (5 Day, 1 Month, 3 Month, YTD, 1 Year).
Company Profile
Hasta 29 ratios financieros incluyendo: P/E Current, P/E Ratio, EPS, Market Cap, Shares Outstanding, Revenue/Employee, Employees, Dividend Yield, Beta, etc.
Financial Statements
Cada statement contiene ~40-60 items (Revenue, COGS, Gross Profit, Operating Income, Net Income, EBITDA, EPS, etc. para income; Cash, Receivables, Total Assets, Debt, Equity, etc. para balance sheet; Operating Cash Flow, Free Cash Flow, Capex, etc. para cash flow).
SEC Filings
Listado de filings con: Filing Date, Document Date, Type (10-K, 10-Q, 8-K), Category.
Analyst Estimates
Average Recommendation, Average Target Price, Number of Ratings, High/Median/Low target, Current/Next Year Estimates, y tabla de cambios de rating por firma.
Options
Options chain organizada por fecha de expiración con calls y puts, strikes, precios, volumen, open interest.
Historical
OHLCV diario con Date, Open, High, Low, Close, Volume (últimos ~60 días).
Protección anti-bot (Datadome)
MarketWatch usa Datadome para protegerse de scraping automatizado.
| Situación | Síntoma | Solución | |-----------|---------|----------| | Muchos requests seguidos | 401 Unauthorized | Aumentar --delay (mín 3s, ideal 5s) | | IP bloqueada temporalmente | 401 incluso con delay | Esperar 5-10 minutos | | Headers incorrectos | 401 inmediato | Usar headers de navegador (ya incluidos) | | Sin session cookies | 401 | El scraper maneja cookies automáticamente |
Recomendación: No más de 4-5 endpoints por ticker por ejecución.
Estructura del skill
skills/marketwatch/
├── SKILL.md # Este archivo
├── references/
│ └── REFERENCE.md # Documentación completa de todos los endpoints
└── scripts/
└── fetch_marketwatch.py # Script principal
> 📖 Referencia completa: Para entender en detalle cada endpoint, columnas de options, campos de financials, estructura de historical data, etc., consultá [references/REFERENCE.md](./references/REFERENCE.md).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: gauss314
- Source: gauss314/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.