marketwatch

Research

Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV. Sin API key.

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Source SKILL.md: https://github.com/gauss314/skills/blob/HEAD/skills/marketwatch/SKILL.md

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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
fetch_marketwatch.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.