IBAN Currency Converter Python API Docs | dltHub

IBAN Currency Converter API is a REST service that provides currency conversion and exchange rate data (part of IBAN.com's FOREX Reference Suite). The REST API base URL is https://api.iban.com/clients/api and all requests require an api_key parameter for authentication.

dlt is an open-source Python library that handles authentication, pagination, and schema evolution automatically. dlthub provides AI context files that enable code assistants to generate production-ready pipelines. Install with uv pip install "dlt[workspace]" and start loading IBAN Currency Converter data in under 10 minutes.

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What data can I load from IBAN Currency Converter?

Here are some of the endpoints you can load from IBAN Currency Converter:

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How do I authenticate with the IBAN Currency Converter API?

Authentication is via a per-account API key supplied as the api_key parameter in query string or POST form data. Requests are made over HTTPS and accept format=json or format=xml.

1. Get your credentials

1. Create an account on IBAN.com (Client Area). 2) Purchase or subscribe to the FOREX Reference Suite / Currency Converter product if required. 3) In the Client Area navigate to 'API Access' to view your api_key, or contact contact@iban.com to request access.

2. Add them to .dlt/secrets.toml

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[sources.iban_currency_converter_source]
api_key = "your_api_key_here"

dlt reads this automatically at runtime — never hardcode tokens in your pipeline script. For production environments, see setting up credentials with dlt for environment variable and vault-based options.

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How do I set up and run the pipeline?

Set up a virtual environment and install dlt:

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uv venv && source .venv/bin/activate
uv pip install "dlt[workspace]"

1. Install the dlt AI Workbench:

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dlt ai init --agent <your-agent> # <agent>: claude | cursor | codex

This installs project rules, a secrets management skill, appropriate ignore files, and configures the dlt MCP server for your agent. Learn more →

2. Install the rest-api-pipeline toolkit:

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dlt ai toolkit rest-api-pipeline install

This loads the skills and context about dlt the agent uses to build the pipeline iteratively, efficiently, and safely. The agent uses MCP tools to inspect credentials — it never needs to read your secrets.toml directly. Learn more →

3. Start LLM-assisted coding:

Use /find-source to load data from the IBAN Currency Converter API into DuckDB.

The rest-api-pipeline toolkit takes over from here — it reads relevant API documentation, presents you with options for which endpoints to load, and follows a structured workflow to scaffold, debug, and validate the pipeline step by step.

4. Run the pipeline:

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python iban_currency_converter_pipeline.py

If everything is configured correctly, you'll see output like this:

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Pipeline iban_currency_converter_pipeline load step completed in 0.26 seconds
1 load package(s) were loaded to destination duckdb and into dataset iban_currency_converter_data
The duckdb destination used duckdb:/iban_currency_converter.duckdb location to store data
Load package 1749667187.541553 is LOADED and contains no failed jobs

Inspect your pipeline and data:

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dlt pipeline iban_currency_converter_pipeline show

This opens the Pipeline Dashboard where you can verify pipeline state, load metrics, schema (tables, columns, types), and query the loaded data directly.

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Python pipeline example

This example loads currency_convert and currency_rates from the IBAN Currency Converter API into DuckDB. It mirrors the endpoint and data selector configuration from the table above:

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import dlt
from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources

@dlt.source
def iban_currency_converter_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://api.iban.com/clients/api",
            "auth": {
                "type": "api_key",
                "api_key": api_key,
            },
        },
        "resources": [
            {"name": "currency_convert", "endpoint": {"path": "currency/convert/"}},
            {"name": "currency_rates", "endpoint": {"path": "currency/rates/", "data_selector": "rates"}}
        ],
    }
    yield from rest_api_resources(config)


def get_data() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="iban_currency_converter_pipeline",
        destination="duckdb",
        dataset_name="iban_currency_converter_data",
    )
    load_info = pipeline.run(iban_currency_converter_source())
    print(load_info)

To add more endpoints, append entries from the resource table to the "resources" list using the same name, path, and data_selector pattern.

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How do I query the loaded data?

Once the pipeline runs, dlt creates one table per resource. You can query with Python or SQL.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("iban_currency_converter_pipeline").dataset()
sessions_df = data.currency_rates.df()
print(sessions_df.head())

SQL (DuckDB example):

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SELECT * FROM iban_currency_converter_data.currency_rates LIMIT 10;

In a marimo or Jupyter notebook:

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import dlt

data = dlt.pipeline("iban_currency_converter_pipeline").dataset()
data.currency_rates.df().head()

See how to explore your data in marimo Notebooks and how to query your data in Python with dataset.

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What destinations can I load IBAN Currency Converter data to?

dlt supports loading into any of these destinations — only the destination parameter changes:

Change the destination in dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. See the full destinations list.

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Troubleshooting

Authentication failures

If you receive 401: API Key is invalid — verify the api_key exactly matches the value in Client Area -> API Access. Ensure you're passing it as form field (POST) or query parameter (GET). If IP restrictions are enabled in your account set, allow your client IP.

Subscription, quota and account errors

401/402/403/406 responses indicate account issues: invalid key, subscription expired, no queries/credits, or lack of access to the service. Resolve via Client Area -> My Services / Purchase Plans or contact support.

Input validation errors

400/407/408/409/410 indicate bad or missing parameters (missing api_key, invalid currency codes, invalid amount). Ensure 'from' and 'to' are 3-letter ISO codes and amount is within allowed range (1 to 99999999999).

Rate limits and IP restrictions

The documentation notes IP address restriction as an account security option; if enabled you must add client IPs to the access list. No explicit public rate limit documented — treat requests as limited by subscription quota.

Ensure that the API key is valid to avoid 401 Unauthorized errors. Also, verify endpoint paths and parameters to avoid 404 Not Found errors.

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Next steps

Continue your data engineering journey with the other toolkits of the dltHub AI Workbench:

• data-exploration — Build custom notebooks, charts, and dashboards for deeper analysis with marimo notebooks.
• dlthub-runtime — Deploy, schedule, and monitor your pipeline in production.

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dlt ai toolkit data-exploration install
dlt ai toolkit dlthub-runtime install

• How to deploy a pipeline
• How to explore your data in marimo Notebooks
• How to query your data in Python with dataset
• Join the dlt community on Slack