import requests

BASE = "https://query1.finance.yahoo.com"
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
}

def yahoo_session():
    """Retorna requests.Session con cookie A3 y crumb."""
    s = requests.Session()
    s.headers.update(HEADERS)
    s.get("https://fc.yahoo.com", timeout=10)
    crumb = s.get(f"{BASE}/v1/test/getcrumb", timeout=10).text.strip()
    s.params = {"crumb": crumb}
    return s

# Uso:
# s = yahoo_session()
# r = s.get("https://query1.finance.yahoo.com/v7/finance/quote?symbols=AAPL,MSFT")

import requests
headers = {"User-Agent": "Mozilla/5.0 (...) Chrome/120.0.0.0 Safari/537.36"}
r = requests.get("https://query1.finance.yahoo.com/v8/finance/chart/AAPL",
                 params={"range": "1y", "interval": "1d", "events": "div,splits"},
                 headers=headers)
data = r.json()["chart"]["result"][0]
# data["timestamp"] -> fechas Unix
# data["indicators"]["quote"][0] -> open, high, low, close, volume
# data["indicators"]["adjclose"][0] -> precios ajustados
# data["events"] -> dividendos y splits

s = yahoo_session()
r = s.get("https://query1.finance.yahoo.com/v7/finance/quote?symbols=AAPL,MSFT,GOOGL")
quotes = r.json()["quoteResponse"]["result"]
for q in quotes:
    print(q["symbol"], q["regularMarketPrice"], q["regularMarketChangePercent"])

s = yahoo_session()
r = s.get("https://query1.finance.yahoo.com/v10/finance/quoteSummary/AAPL",
          params={"modules": "assetProfile,financialData,defaultKeyStatistics,incomeStatementHistory,balanceSheetHistory,cashflowStatementHistory,earnings,recommendationTrend"})
fundamentals = r.json()["quoteSummary"]["result"][0]
profile = fundamentals["assetProfile"]           # sector, industry, employees, description
financials = fundamentals["financialData"]        # EBITDA, revenue, margins, ROE, ROA
stats = fundamentals["defaultKeyStatistics"]      # beta, shares, PE, PEG, short info

s = yahoo_session()
r = s.get("https://query1.finance.yahoo.com/v7/finance/options/AAPL")
data = r.json()["optionChain"]["result"][0]
expirations = data["expirationDates"]
strikes = data["strikes"]
options = data["options"][0]  # calls + puts

r = requests.get("https://query1.finance.yahoo.com/v1/finance/search",
                 params={"q": "Apple", "quotesCount": 3, "newsCount": 5},
                 headers=HEADERS)
data = r.json()
# data["quotes"] -> tickers encontrados
# data["news"] -> noticias relacionadas

python scripts/fetch_all.py --ticker AAPL --all                     # Todo lo disponible
python scripts/fetch_all.py --ticker GGAL --all --range 5y --interval 1d  # GGAL con 5 años
python scripts/fetch_all.py --ticker MSFT --chart --range max        # Histórico completo
python scripts/fetch_all.py --ticker NVDA --quote --fundamentals     # Quote + fundamentals
python scripts/fetch_all.py --ticker TSLA --all --all-modules        # Todos los módulos (~33)
python scripts/fetch_all.py --ticker AAPL --options                  # Solo opciones
python scripts/fetch_all.py -t AAPL -o mi_data.json -q               # Output a archivo, quiet

>> Chart (1y, 1d)... OK 250 bars
>> Quote...             OK Price: $50.33 (-1.62%)
>> Fundamentals...      OK 12 módulos (core)
>> Options...           OK 5 expiration dates, 17 calls, 19 puts
>> Search+News...       OK 5 news items
Guardado en: ggal_temp.json  (123 KB)

skills/yahoo-finance/
├── SKILL.md                          # Este archivo (quickstart)
├── references/
│   └── API_REFERENCE.md              # Documentación completa de todos los endpoints
└── scripts/
    ├── fetch_all.py                  # Script integral (recomendado)
    ├── fetch_quote.py                # Quote + fundamentals rápido
    └── download_historical.py        # Históricos a CSV