Benzinga Python SDK

pip install git+ssh://git@github.com/Benzinga/benzinga-python-client.git

from benzingaorg import financial_data

fin = financial_data.Benzinga(api_key='YOUR_API_KEY')

data = fin.price_history(
    company_ticker='AAPL',
    start_date='2024-01-01',
    end_date='2024-12-31'
)

quote = fin.quote(company_ticker='AAPL')

chart = fin.chart(
    company_ticker='AAPL',
    start_date='2024-01-01',
    end_date='2024-12-31',
    interval='1D'  # Optional: 1MONTH, 1W, 1D, 1H, 15M
)

results = fin.auto_complete(
    company_ticker='AAPL',
    search_method='SYMBOL'  # Optional: SYMBOL, SYMBOL_NAME, SYMBOL_WITHIN
)

fundamentals = fin.fundamentals(
    company_ticker='AAPL',
    isin=None,  # Optional
    cik=None,   # Optional
    date=None   # Optional: YYYY-MM-DD
)

financials = fin.financials(
    company_ticker='AAPL',
    isin=None,
    cik=None,
    date=None
)

valuation = fin.valuation_ratios(
    company_ticker='AAPL',
    isin=None,
    cik=None,
    date=None
)

earning_ratios = fin.earning_ratios(
    company_ticker='AAPL',
    isin=None,
    cik=None,
    date=None
)

operation_ratios = fin.operation_ratios(
    company_ticker='AAPL',
    isin=None,
    cik=None,
    date=None
)

# Dividends
dividends = fin.dividends(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Ratings
ratings = fin.ratings(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Earnings
earnings = fin.earnings(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Splits
splits = fin.splits(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Economics
economics = fin.economics(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    importance=None
)

# Guidance
guidance = fin.guidance(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# IPOs
ipos = fin.ipo(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Retail Activity
retail = fin.retail(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

# Conference Calls
conference_calls = fin.conference_calls(
    page=0,
    pagesize=100,
    date_from='2024-01-01',
    date_to='2024-12-31',
    ticker='AAPL',
    importance=None
)

profile = fin.company_profile(company_ticker='AAPL')

company = fin.company(company_ticker='AAPL')

share_class = fin.share_class(company_ticker='AAPL')

earning_reports = fin.earning_reports(company_ticker='AAPL')

logos = fin.logos(
    ticker='AAPL',
    filters=None  # Optional filters
)

instruments = fin.instruments(
    sector=None,      # Optional sector filter
    market_cap=None   # Optional market cap filter
)

security = fin.security(company_ticker='AAPL')

movers = fin.movers(
    session=None,  # Optional: pre, post, regular
    sector=None    # Optional sector filter
)

detail = fin.ticker_detail(company_ticker='AAPL')

options = fin.options_activity(
    company_ticker='AAPL',
    date_from='2024-01-01',  # Optional
    date_to='2024-12-31',    # Optional
    page=0,                   # Optional
    pagesize=100             # Optional
)

from benzingaorg import news_data

news = news_data.News(api_key='YOUR_API_KEY')

articles = news.news(
    pagesize=15,              # Default: 15
    display_output='full',    # Options: full, abstract, headline
    date_from='2024-01-01',   # Optional
    date_to='2024-12-31',     # Optional
    channel=None              # Optional: Filter by channel
)

top = news.top_news(
    type=None,      # Optional news type
    channel=None,   # Optional channel filter
    limit=10        # Number of articles to return
)

channels = news.channels()

quantified = news.quantified_news(
    page=0,
    pagesize=100,
    date_from='2024-01-01',  # Optional
    date_to='2024-12-31'     # Optional
)

# Financial data output
data = fin.quote('AAPL')
fin.output(data)

# News data output
articles = news.news(pagesize=10)
news.output(articles)

from benzingaorg import financial_data, news_data

# Initialize modules
fin = financial_data.Benzinga(api_key='YOUR_API_KEY')
news = news_data.News(api_key='YOUR_API_KEY')

# Get financial data
quote = fin.quote('AAPL')
fundamentals = fin.fundamentals('AAPL')
earnings = fin.earnings(ticker='AAPL', date_from='2024-01-01')

# Get news data
articles = news.news(pagesize=20, display_output='full')
top_news = news.top_news(limit=5)

# Format and display
fin.output(quote)
news.output(articles)