companiesmarketcap

Research

Scraper de CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings. Sin API key.

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How to use this skill

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

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

CompaniesMarketCap — Financial Rankings Scraper

Scraper de CompaniesMarketCap que extrae rankings financieros (market cap, earnings, revenue, employees, P/E, márgenes, activos, deuda, cash), marketcap histórico de stocks y ETF holdings.

Usa el sistema de CSV download nativo del sitio (?download=csv) — no requiere API key y es más mantenible que scrapear HTML.

⚠️ Aviso Legal

CompaniesMarketCap no tiene API pública oficial. Usa el endpoint CSV que está públicamente disponible.
Respetá los términos de servicio del sitio.
Implementá rate limiting (mín 2 segundos entre requests).

Instalación

pip install requests beautifulsoup4

Scripts

Script	Descripción
fetch_cmc.py	Script principal: rankings, stock history, ETF holdings

Uso rápido

# Ranking de market cap (default)
python scripts/fetch_cmc.py --rankings

# Ranking de earnings
python scripts/fetch_cmc.py --rankings --metric earnings

# Ranking de revenue (top 10)
python scripts/fetch_cmc.py --rankings --metric revenue --limit 10

# Stock marketcap histórico
python scripts/fetch_cmc.py --stock NVDA
python scripts/fetch_cmc.py --stock GGAL

# ETF holdings
python scripts/fetch_cmc.py --etf SPY --holdings

# Todo junto + output a JSON
python scripts/fetch_cmc.py --stock AAPL --rankings --output aapl_full.json

# Modo silencioso (solo JSON)
python scripts/fetch_cmc.py --rankings --metric earnings --limit 5 --quiet

Endpoints

Flag	Data	Método	Detalle
`--rankings`	Ranking list	CSV download	12 métricas + ETFs, ~10,852 empresas
`--stock TICKER`	Marketcap histórico	HTML	28-31 años por stock
`--etf TICKER --holdings`	ETF holdings	HTML	~505 posiciones (SPY)
`--etf TICKER`	ETF summary	HTML	Información del ETF

Rankings disponibles (`--metric`)

Métrica	Descripción
`marketcap` (default)	Market Capitalization
`earnings`	Earnings (TTM)
`revenue`	Revenue (TTM)
`employees`	Employee count
`pe_ratio`	Price/Earnings ratio
`operating_margin`	Operating margin (TTM)
`total_assets`	Total assets
`net_assets`	Net assets
`liabilities`	Total liabilities
`debt`	Total debt
`cash`	Cash on hand
`pb_ratio`	Price/Book ratio
`etfs`	ETF market caps

Flags adicionales

Flag	Descripción
`--limit N`	Limitar a N filas en rankings
`--output archivo.json`	Guardar output a archivo
`--delay N`	Delay entre requests (default: 2.0s)
`--quiet`	Modo silencioso (solo JSON)

Resolución automática ticker → slug

El scraper resuelve automáticamente el slug de la URL a partir del nombre de la compañía en el CSV:

Ticker	Nombre → Slug
NVDA	NVIDIA → `nvidia`
AAPL	Apple → `apple`
GGAL	Galicia Financial Group → `galicia-financial-group`
SPY	SPDR S&P 500 ETF → `spdr-sp-500-etf`
BRK-B	Berkshire Hathaway → `berkshire-hathaway`

Estructura del skill

skills/companiesmarketcap/
├── SKILL.md                              # Este archivo
├── references/
│   └── REFERENCE.md                      # Documentación completa
└── scripts/
    └── fetch_cmc.py                      # Script principal

📖 Documentación detallada: Consultá references/REFERENCE.md para la documentación exhaustiva de cada endpoint, columnas, ejemplos y consideraciones técnicas.