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 0.10.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bcra-connector 0.10.0
File	Size	Uploaded
bcra_connector-0.10.0.tar.gz	86.3 kB	Sep 19, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for bcra-connector 0.10.0
File	Interpreter	ABI	Platform	Reset
bcra_connector-0.10.0-py3-none-any.whl 29.5 kB Sep 19, 2026	Python 3	none	any	Details

Total release size: 115.8 kB

Release files / bcra_connector-0.10.0.tar.gz

Download URL	bcra_connector-0.10.0.tar.gz
Size	86.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`ffd75dead74310758ed85f00e5949a1f2f9ac3192228350d53e2664e3da41d76`
BLAKE2b-256 checksum How to use checksums	`09d3161d09cd03acd1b5196b24849c47c7dbb68bd3d7054d2e302b271f44f038`
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

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/PPeitsch/bcra-connector
Publishing commit: github.com/PPeitsch/bcra-connector/tree/635faf47bc139a4dff0736991273e053e3b12787

Workflow

Publishing configuration: github.com/PPeitsch/bcra-connector/blob/635faf47bc139a4dff0736991273e053e3b12787/.github/workflows/test-and-publish.yaml
Publishing logs: github.com/PPeitsch/bcra-connector/actions/runs/35411761385/attempts/1

Artifact

Subject: bcra_connector-0.10.0.tar.gz
SHA-256 checksum: ffd75dead74310758ed85f00e5949a1f2f9ac3192228350d53e2664e3da41d76 Verifying attestations

Release files / bcra_connector-0.10.0-py3-none-any.whl

Download URL	bcra_connector-0.10.0-py3-none-any.whl
Size	29.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8d2eabe2d76769a2548171118f9d9141479a4d22bd5063026624170d6552acdb`
BLAKE2b-256 checksum How to use checksums	`d0ba6c07b3ff8973f51c3b42f242e88f1725222d690e788e60b026e3e8545427`
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/635faf47bc139a4dff0736991273e053e3b12787

Workflow

Publishing configuration: github.com/PPeitsch/bcra-connector/blob/635faf47bc139a4dff0736991273e053e3b12787/.github/workflows/test-and-publish.yaml
Publishing logs: github.com/PPeitsch/bcra-connector/actions/runs/35411761385/attempts/1

Artifact

Subject: bcra_connector-0.10.0-py3-none-any.whl
SHA-256 checksum: 8d2eabe2d76769a2548171118f9d9141479a4d22bd5063026624170d6552acdb Verifying attestations