BCRA API Connector

A Python connector for the BCRA (Banco Central de la República Argentina) APIs, covering Principal Variables/Monetary Statistics, Cheques, Exchange Rate Statistics, and Central de Deudores (Debtor Registry).

Features

Comprehensive Data Access: Fetch Principal Variables, Monetary Statistics, Checks information, Exchange Rates, and Debtor Registry data.
Central de Deudores: Query debtor information, historical debts, and rejected checks by CUIT/CUIL.
DataFrame Support: Convert API responses to pandas DataFrames with to_dataframe() methods.
Historical Data: Easily retrieve and analyze historical time series for any variable.
Robustness: Built-in retry logic with exponential backoff and safe failure handling.
Developer Friendly:
- Full Type Hinting for better IDE support.
- Bilingual context (Spanish API / English Wrapper).
- Detailed debug logging.
Configurable: Options for SSL verification, retries, and timeouts.

Documentation

Full documentation, including installation instructions, usage examples, and API reference, is available at:

Installation

pip install bcra-connector

# With pandas support for DataFrame conversion
pip install bcra-connector[pandas]

For detailed installation instructions and requirements, see our Installation Guide.

Quick Start

Get up and running in seconds:

from bcra_connector import BCRAConnector

# Initialize the connector
connector = BCRAConnector()

# 1. List principal variables published by BCRA
variables = connector.get_principales_variables()
print(f"Found {len(variables)} variables.")

# 2. Get the latest value for a specific variable (e.g., using the ID of the first one)
if variables:
    target_var = variables[0]
    print(f"Fetching data for: {target_var.descripcion} (ID: {target_var.idVariable})")

    latest = connector.get_latest_value(target_var.idVariable)
    print(f"Latest Value: {latest.valor} on {latest.fecha}")

# 3. Get historical data (last 30 days)
#    (Note: Date range filtering is handled by the API or post-processing)

Contributing

Contributions are welcome! Please read our:

Security

For vulnerability reports, please review our Security Policy.

Change Log

See CHANGELOG.md for a list of changes and version updates.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This project is not officially affiliated with or endorsed by the Banco Central de la República Argentina. Use at your own risk.

Metadata

Release files for bcra-connector 0.11.0

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Source distribution (sdist)

Source distribution for bcra-connector 0.11.0
File	Size	Uploaded
bcra_connector-0.11.0.tar.gz	94.5 kB	Sep 19, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for bcra-connector 0.11.0
File	Interpreter	ABI	Platform	Reset
bcra_connector-0.11.0-py3-none-any.whl 31.9 kB Sep 19, 2026	Python 3	none	any	Details

Total release size: 126.4 kB

Release files / bcra_connector-0.11.0.tar.gz

Download URL	bcra_connector-0.11.0.tar.gz
Size	94.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`8b964da94cbd29babf89486814d0747d754ac73fe1ce0bc127a262abc6e01bc8`
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Upload date	Sep 19, 2026
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Publishing platform: GitHub Actions
Publishing repository: github.com/PPeitsch/bcra-connector
Publishing commit: github.com/PPeitsch/bcra-connector/tree/ec7a506f0bf3dfd754d96a08f0bf917ca3ab82cc

Workflow

Publishing configuration: github.com/PPeitsch/bcra-connector/blob/ec7a506f0bf3dfd754d96a08f0bf917ca3ab82cc/.github/workflows/test-and-publish.yaml
Publishing logs: github.com/PPeitsch/bcra-connector/actions/runs/35426755575/attempts/1

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Subject: bcra_connector-0.11.0.tar.gz
SHA-256 checksum: 8b964da94cbd29babf89486814d0747d754ac73fe1ce0bc127a262abc6e01bc8 Verifying attestations

Release files / bcra_connector-0.11.0-py3-none-any.whl

Download URL	bcra_connector-0.11.0-py3-none-any.whl
Size	31.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`daad7eb2b109e2591e1ab5b22f956ed6794ca7cc76f9b9a4f4490a0d5458f9f6`
BLAKE2b-256 checksum How to use checksums	`02f6318a38717e1a560db2486eb2b4f644bca71b9c0396ded773e9a379cea0f1`
Upload date	Sep 19, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/PPeitsch/bcra-connector
Publishing commit: github.com/PPeitsch/bcra-connector/tree/ec7a506f0bf3dfd754d96a08f0bf917ca3ab82cc

Workflow

Publishing configuration: github.com/PPeitsch/bcra-connector/blob/ec7a506f0bf3dfd754d96a08f0bf917ca3ab82cc/.github/workflows/test-and-publish.yaml
Publishing logs: github.com/PPeitsch/bcra-connector/actions/runs/35426755575/attempts/1

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Subject: bcra_connector-0.11.0-py3-none-any.whl
SHA-256 checksum: daad7eb2b109e2591e1ab5b22f956ed6794ca7cc76f9b9a4f4490a0d5458f9f6 Verifying attestations