CompaniesMarketCap — Financial Rankings Scraper
SkillWeb & browsingCompaniesMarketCap scraper: rankings (marketcap, earnings, revenue, employees, ratios), stock history and ETF holdings. No API key.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the CompaniesMarketCap — Financial Rankings Scraper skill
What this skill tells your AI
The instructions your AI receives, as published by gauss314/skills in skills/companiesmarketcap/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 237
- Forks
- 35
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
companiesmarketcap- Source
- github.com/gauss314/skills