pyvenezuela 0.0.4

Python library to query Venezuela's data (BCV and CNE)

Python library to query Venezuela's data

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Docs: https://pyvenezuela.jose2kk.com

Source Code: https://github.com/jose2kk/pyvenezuela

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pyvenezuela is a Python library for querying Venezuelan public data sources, including exchange rates from the Central Bank of Venezuela (BCV) and voter data from the National Electoral Council (CNE).

Features

• BCV exchange rates — official rates (USD, EUR, CNY, TRY, RUB) from the BCV website
• Bank rates — buy/sell rates reported by all Venezuelan banks
• CNE voter lookup — query voter registration data by ID number
• In-memory cache — automatic TTL-based caching to reduce HTTP requests
• Custom cache backends — plug in Redis, Memcached, or any other store
• Typed responses — Pydantic v2 models with full type annotations

Installation

pip install pyvenezuela

Or with uv:

uv add pyvenezuela

Quick Start

BCV Exchange Rates

from pyvenezuela import get_rates_by_bcv, BCVCurrencyEnum

rates = get_rates_by_bcv()
if rates:
    print(f"USD: {rates[BCVCurrencyEnum.USD]:.4f} Bs.")
    print(f"EUR: {rates[BCVCurrencyEnum.EUR]:.4f} Bs.")

Bank Rates

from pyvenezuela import get_rates_by_bank, BankEnum
import datetime

today = datetime.date.today()
last_month = today - datetime.timedelta(days=30)

rates = get_rates_by_bank(
    bank=BankEnum.BANESCO,
    start_date=last_month,
    end_date=today,
)

for rate in rates:
    print(f"{rate.date}  buy: {rate.buy_rate:.4f}  sell: {rate.sell_rate:.4f}")

CNE Voter Lookup

from pyvenezuela import query_id, NationalityEnum

persona = query_id(nationality=NationalityEnum.VENEZUELAN, id="12345678")
if persona:
    print(f"Name:          {persona.full_name}")
    print(f"State:         {persona.state}")
    print(f"Voting center: {persona.voting_center}")

Development

# Install dependencies
uv sync --locked

# Run tests
make test

# Lint + type check
make check

# Format code
make format

Requirements

• Python 3.10+
• Dependencies: beautifulsoup4, pydantic>=2, requests

License

MIT