Load Bol.com Retailer API data to DuckDB

Bol.com Retailer API allows partners to manage their selling workflow including offers, orders, shipments, and product content. Everything needed to build a working Bol.com Retailer API → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.

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Build your Bol.com Retailer API to DuckDB pipeline

Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.

PromptCopy prompt
Run uvx dlthub-init@latest to build a pipeline from Bol.com Retailer API to DuckDB and run it on dltHub

That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the Bol.com Retailer API API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →

Prefer to write it yourself? Every fact the agent uses is below.

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Bol.com Retailer API API at a glance

These values come from the Bol.com Retailer API API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Bol.com Retailer API API?

The API uses OAuth2. Access tokens are retrieved from login.bol.com using Basic authentication (base64-encoded client_id:client_secret) and passed as a 'Bearer' token in the Authorization header for all subsequent requests.

1. Get your credentials

1. Log in to your bol seller account at the Seller Dashboard (https://partnerplatform.bol.com).
2. Navigate to the 'Settings' (Instellingen) page.
3. Under the 'Services' (Diensten) section, click on 'API Settings' (API Instellingen).
4. Ensure the contact details for your technical contact person are filled in and saved.
5. Under 'Client credentials for the Retailer API', click 'Create' (Aanmaken).
6. Enter a name for the credentials (e.g., your application name) and click 'Create'.
7. The Client ID will be displayed. Click 'Show secret' (Toon secret) to reveal and copy your Client Secret. Store these securely as they are required to obtain access tokens.

2. Add them to .dlt/secrets.toml

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[sources.bol_com_retailer_api_source]
client_id = "your_client_id_here"
client_secret = "your_client_secret_here"

dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.

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What Bol.com Retailer API data can I load into DuckDB?

These are the Bol.com Retailer API endpoints dlt can load into DuckDB:

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How do I load only new Bol.com Retailer API records?

Bol.com Retailer API exposes last-modified-date-time on retailer/offers, so dlt can request only the records that changed since the last run. Set it as the cursor_path and dlt tracks the high-water mark for you between runs.

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{"name": "offers", "endpoint": {
    "path": "retailer/offers",
    "data_selector": "offers",
    "incremental": {"cursor_path": "last-modified-date-time", "initial_value": "2024-01-01T00:00:00Z"},
}}

On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.

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What does the generated Bol.com Retailer API pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading orders and offers from the Bol.com Retailer API API into DuckDB:

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

@dlt.source
def bol_com_retailer_api_source(client_credentials=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://api.bol.com/retailer",
            "auth": {"type": "bearer", "token": client_credentials},
        },
        "resources": [
            {"name": "offers", "endpoint": {"path": "retailer/offers", "data_selector": "offers"}},
            {"name": "orders", "endpoint": {"path": "retailer/orders", "data_selector": "orders"}}
        ],
    }
    yield from rest_api_resources(config)


def load_bol_com_retailer_api_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="bol_com_retailer_api_pipeline",
        destination="duckdb",
        dataset_name="bol_com_retailer_api_data",
    )
    load_info = pipeline.run(bol_com_retailer_api_source())
    print(load_info)


if __name__ == "__main__":
    load_bol_com_retailer_api_to_duckdb()

Run it with python bol_com_retailer_api_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.

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How do I query Bol.com Retailer API data in DuckDB?

dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("bol_com_retailer_api_pipeline").dataset()
df = data.orders.df()
print(df.head())

SQL:

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SELECT * FROM bol_com_retailer_api_data.orders LIMIT 10;

See querying your data with dataset and exploring it in marimo notebooks.

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How do I deploy the Bol.com Retailer API to DuckDB pipeline in production?

The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.

• Deploy & schedule — run the pipeline as a managed job with automatic retries.
• Monitor — observable job queues, alerting, and load metrics for every run.
• Transform — promote raw Bol.com Retailer API loads into governed, documented models.
• Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →

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What other destinations can I load Bol.com Retailer API data to?

dlt loads into any of these — only the destination argument changes:

Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.

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Next steps

• Ready for production? Book a demo of the dltHub platform →
• dlt LLM-native workflow docs
• REST API source reference
• Join the dlt community on Slack