Load Vipps MobilePay data to DuckDB

Vipps MobilePay is an API platform providing payment, login, and loyalty integration services for merchants and partners. Everything needed to build a working Vipps MobilePay → 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 Vipps MobilePay 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 Vipps MobilePay 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 Vipps MobilePay 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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Vipps MobilePay API at a glance

These values come from the Vipps MobilePay API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Vipps MobilePay API?

Authentication requires exchanging API keys for a JWT access token via the POST:/accesstoken/get endpoint. This token must be included in the 'Authorization' header of subsequent requests as a Bearer token (e.g., 'Authorization: Bearer <access_token>'), along with the 'Ocp-Apim-Subscription-Key' header.

1. Get your credentials

1. Log in to the Vipps MobilePay Business Portal. 2. Navigate to 'For developers' in the sidebar. 3. Select either 'Test' or 'Production' depending on your environment. 4. Locate your sales unit in the table and click 'Show keys'. 5. Copy the 'client_id', 'client_secret', and 'Ocp-Apim-Subscription-Key' (primary or secondary). Note: You will also need your Merchant Serial Number (MSN) for API requests.

2. Add them to .dlt/secrets.toml

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[sources.vipps_mobilepay_source]
api_key = "REPLACE_ME"

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 Vipps MobilePay data can I load into DuckDB?

These are the Vipps MobilePay endpoints dlt can load into DuckDB:

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How do I load only new Vipps MobilePay records?

Vipps MobilePay exposes cursor on sales/report/v1/ledgers/{ledgerId}, 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": "sales_events", "endpoint": {
    "path": "sales/report/v1/ledgers/{ledgerId}",
    "data_selector": "items",
    "incremental": {"cursor_path": "cursor", "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 Vipps MobilePay pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /accesstoken/get and /epayment/v1/payments from the Vipps MobilePay API into DuckDB:

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

@dlt.source
def vipps_mobilepay_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://api.vipps.no (Production) or https://apitest.vipps.no (Test)",
            "auth": {"type": "bearer", "token": api_key},
        },
        "resources": [
            {"name": "sales_events", "endpoint": {"path": "sales/report/v1/ledgers/{ledgerId}", "data_selector": "items"}},
            {"name": "ledger_dates", "endpoint": {"path": "sales/report/v1/ledgers/{ledgerId}/dates/{ledgerDate}", "data_selector": "items"}}
        ],
    }
    yield from rest_api_resources(config)


def load_vipps_mobilepay_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="vipps_mobilepay_pipeline",
        destination="duckdb",
        dataset_name="vipps_mobilepay_data",
    )
    load_info = pipeline.run(vipps_mobilepay_source())
    print(load_info)


if __name__ == "__main__":
    load_vipps_mobilepay_to_duckdb()

Run it with python vipps_mobilepay_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 Vipps MobilePay 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("vipps_mobilepay_pipeline").dataset()
df = data.sales_events.df()
print(df.head())

SQL:

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SELECT * FROM vipps_mobilepay_data.sales_events LIMIT 10;

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

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How do I deploy the Vipps MobilePay 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 Vipps MobilePay 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 Vipps MobilePay 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