Load Award Wallet data to DuckDB

AwardWallet provides a suite of REST APIs for accessing travel itineraries, loyalty program account data, and credit card bonus information. Everything needed to build a working Award Wallet → 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 Award Wallet 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 Award Wallet 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 Award Wallet 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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Award Wallet API at a glance

These values come from the Award Wallet API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Award Wallet API?

Authentication is handled via an 'X-Authentication' header. Depending on the specific API, the token is either a personal API key or a string formatted as 'Username:Password'.

1. Get your credentials

To obtain API credentials for AwardWallet, you must contact their support team directly. Navigate to the AwardWallet business dashboard or their official API main page to request your specific test credentials or API key. For most API services, they will provide you with a unique API username and password, which you will use to construct your authentication token.

2. Add them to .dlt/secrets.toml

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[sources.award_wallet_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 Award Wallet data can I load into DuckDB?

These are the Award Wallet endpoints dlt can load into DuckDB:

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How do I load only new Award Wallet records?

Award Wallet exposes pageToken on api/export/v1/travel-timeline/{id}, 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": "travel_timeline", "endpoint": {
    "path": "api/export/v1/travel-timeline/{id}",
    "data_selector": "itineraries",
    "incremental": {"cursor_path": "pageToken", "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 Award Wallet pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading The most common endpoints vary by service; for example, the Email Parsing API uses getResults, while the Web Parsing/Loyalty API frequently utilizes providers/list and account/check. from the Award Wallet API into DuckDB:

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

@dlt.source
def award_wallet_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://business.awardwallet.com/api/export/v1 (Account Access API), https://loyalty.awardwallet.com/v2 (Web Parsing API), or https://us-cc-api.awardwallet.com/v1 (Credit Card Bonus API)",
            "auth": {"type": "api_key", "api_key": api_key, "name": "X-Authentication", "location": "header"},
        },
        "resources": [
            {"name": "travel_timeline", "endpoint": {"path": "api/export/v1/travel-timeline/{id}", "data_selector": "itineraries"}},
            {"name": "members", "endpoint": {"path": "api/export/v1/member", "data_selector": "members"}}
        ],
    }
    yield from rest_api_resources(config)


def load_award_wallet_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="award_wallet_pipeline",
        destination="duckdb",
        dataset_name="award_wallet_data",
    )
    load_info = pipeline.run(award_wallet_source())
    print(load_info)


if __name__ == "__main__":
    load_award_wallet_to_duckdb()

Run it with python award_wallet_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 Award Wallet 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("award_wallet_pipeline").dataset()
df = data.travel_timeline.df()
print(df.head())

SQL:

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SELECT * FROM award_wallet_data.travel_timeline LIMIT 10;

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

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How do I deploy the Award Wallet 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 Award Wallet 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 Award Wallet 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