SecQL Python SDK

Official Python SDK for the SecQL API - clean SEC EDGAR data with excellent developer experience.

Installation

pip install secql

For pandas DataFrame support:

pip install secql[pandas]

Quick Start

from secql import SecQL

client = SecQL(api_key="your_api_key")

# Get company info
company = client.company("AAPL")
print(f"{company.name} ({company.ticker})")
# Apple Inc. (AAPL)

# Get latest financials
financials = client.financials("AAPL")
print(f"Revenue: ${financials.revenue:,}")
# Revenue: $94,930,000,000

# Get recent SEC filings
filings = client.filings("AAPL", limit=5)
for filing in filings:
    print(f"{filing.form_type} - {filing.filed_at}")

Configuration

API Key

Set your API key via constructor or environment variable:

# Option 1: Constructor argument
client = SecQL(api_key="your_api_key")

# Option 2: Environment variable
# export SECQL_API_KEY=your_api_key
client = SecQL()

Custom Base URL

For self-hosted or staging environments:

client = SecQL(
    api_key="your_api_key",
    base_url="https://staging-api.secql.dev"
)

# Or via environment variable
# export SECQL_API_URL=https://staging-api.secql.dev

Environment Variables

Variable	Description	Default
SECQL_API_KEY	Your API key	-
SECQL_API_URL	API base URL	https://api.secql.dev

Methods

company(ticker: str) -> Company

Get company profile by ticker symbol.

company = client.company("MSFT")

print(company.cik)      # "0000789019"
print(company.ticker)   # "MSFT"
print(company.name)     # "Microsoft Corporation"
print(company.sector)   # "Technology"
print(company.exchange) # "NASDAQ"

financials(ticker: str, periods: int = 1, as_dataframe: bool = False)

Get financial data for a company.

# Latest quarter
latest = client.financials("AAPL")
print(latest.period)     # "2024-Q3"
print(latest.revenue)    # 94930000000
print(latest.net_income) # 21448000000

# Multiple periods
history = client.financials("AAPL", periods=4)
for f in history:
    print(f"{f.period}: ${f.revenue:,}")

Available fields:

• cik, ticker, period, period_type
• revenue, net_income
• total_assets, total_liabilities
• cash_and_equivalents
• shares_outstanding, eps_basic
• currency

filings(ticker: str, limit: int = 20) -> List[Filing]

Get recent SEC filings.

filings = client.filings("AAPL", limit=10)

for filing in filings:
    print(filing.form_type)       # "10-Q", "10-K", "8-K"
    print(filing.filed_at)        # "2024-11-01"
    print(filing.accession_number)
    print(filing.url)             # Direct link to SEC filing

Pandas Integration

Convert financial data to pandas DataFrames for analysis:

# Get historical financials as DataFrame
df = client.financials("AAPL", periods=8, as_dataframe=True)

print(df.columns)
# ['ticker', 'period', 'period_type', 'revenue', 'net_income',
#  'total_assets', 'total_liabilities', 'cash_and_equivalents',
#  'shares_outstanding', 'eps_basic']

# Calculate revenue growth
df['revenue_growth'] = df['revenue'].pct_change()

# Plot revenue over time
df.plot(x='period', y='revenue', kind='bar')

Requires pip install secql[pandas].

Async Client

For async applications, use AsyncSecQL:

import asyncio
from secql import AsyncSecQL

async def main():
    async with AsyncSecQL(api_key="your_api_key") as client:
        # Fetch multiple companies concurrently
        companies = await asyncio.gather(
            client.company("AAPL"),
            client.company("MSFT"),
            client.company("GOOGL"),
        )

        for company in companies:
            print(f"{company.ticker}: {company.name}")

asyncio.run(main())

All methods have the same signatures as the sync client:

async with AsyncSecQL() as client:
    company = await client.company("AAPL")
    financials = await client.financials("AAPL", periods=4)
    filings = await client.filings("AAPL", limit=10)

Error Handling

The SDK raises specific exceptions for different error conditions:

from secql import SecQL, CompanyNotFound, RateLimited, InvalidAPIKey, APIError

client = SecQL(api_key="your_api_key")

try:
    company = client.company("INVALID")
except CompanyNotFound as e:
    print(f"Ticker not found: {e.ticker}")
except RateLimited as e:
    print(f"Rate limited. Retry after {e.retry_after} seconds")
except InvalidAPIKey:
    print("Check your API key")
except APIError as e:
    print(f"API error ({e.status_code}): {e}")

Exception Hierarchy

SecQLError (base)
├── CompanyNotFound   # 404 - Ticker not in SEC database
├── RateLimited       # 429 - Too many requests
├── InvalidAPIKey     # 401 - Bad or missing API key
└── APIError          # Other API errors

Context Manager

Both clients support context managers for automatic cleanup:

# Sync
with SecQL(api_key="your_api_key") as client:
    company = client.company("AAPL")

# Async
async with AsyncSecQL(api_key="your_api_key") as client:
    company = await client.company("AAPL")

Example: Compare Big Tech Financials

from secql import SecQL

client = SecQL()
tickers = ["AAPL", "MSFT", "GOOGL", "AMZN", "META"]

print(f"{'Ticker':<8} {'Revenue':>15} {'Net Income':>15} {'EPS':>8}")
print("-" * 50)

for ticker in tickers:
    f = client.financials(ticker)
    print(f"{ticker:<8} ${f.revenue:>13,} ${f.net_income:>13,} ${f.eps_basic:>6.2f}")

Links

• API Documentation
• Source Code
• PyPI Package

License

MIT