Load Cloud Billing Budget API data to DuckDB

Cloud Billing Budget API allows programmatic management of budget plans and spending rules for Google Cloud Billing accounts. Everything needed to build a working Cloud Billing Budget 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 Cloud Billing Budget 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 Cloud Billing Budget 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 Cloud Billing Budget 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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Cloud Billing Budget API API at a glance

These values come from the Cloud Billing Budget API API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Cloud Billing Budget API API?

All requests require an Authorization header with a Bearer token, typically obtained via Google Application Default Credentials (ADC) or the gcloud CLI.

1. Get your credentials

The Cloud Billing Budget API primarily uses OAuth2 access tokens or Service Account credentials rather than standard API keys for authorization. To obtain credentials: 1. Ensure you have the 'Billing Account Administrator' (roles/billing.admin) or 'Billing User' (roles/billing.user) role on the target billing account. 2. For local development, authenticate using the Google Cloud CLI: run 'gcloud auth login' and 'gcloud auth application-default login' to set up Application Default Credentials (ADC). 3. For production/automated pipelines, use a Service Account: create one in the Google Cloud Console (IAM & Admin > Service Accounts), grant it the necessary billing roles, and download the JSON key file. 4. Set the path to this file in the 'GOOGLE_APPLICATION_CREDENTIALS' environment variable, or use the contents directly for dlt configurations.

2. Add them to .dlt/secrets.toml

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[sources.cloud_billing_budget_api_source]
service_account_key_json = '{"type": "service_account", "project_id": "...", "private_key_id": "...", "private_key": "...", "client_email": "...", ...}' # OR access_token = "ya29..."

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 Cloud Billing Budget API data can I load into DuckDB?

These are the Cloud Billing Budget API endpoints dlt can load into DuckDB:

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How do I load only new Cloud Billing Budget API records?

The Cloud Billing Budget API API reference does not document a timestamp or sequence field for these endpoints, so there is nothing to advertise here as verified. Pick a field from the endpoints table above that increases with every write, then set it as the cursor_path.

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{"name": "budgets", "endpoint": {
    "path": "v1/{parent}/budgets",
    # Replace with a field that increases on every write.
    "incremental": {"cursor_path": "REPLACE_ME", "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 Cloud Billing Budget API pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading v1/billingAccounts/{billingAccountId}/budgets and v1/billingAccounts/{billingAccountId}/budgets/{budgetId} from the Cloud Billing Budget API API into DuckDB:

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

@dlt.source
def cloud_billing_budget_api_source(credentials=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://billingbudgets.googleapis.com",
            "auth": {"type": "bearer", "token": credentials},
        },
        "resources": [
            {"name": "budgets", "endpoint": {"path": "v1/{parent}/budgets", "data_selector": "budgets"}},
            {"name": "list_budgets", "endpoint": {"path": "v1/{parent}/budgets", "data_selector": "budgets"}}
        ],
    }
    yield from rest_api_resources(config)


def load_cloud_billing_budget_api_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="cloud_billing_budget_api_pipeline",
        destination="duckdb",
        dataset_name="cloud_billing_budget_api_data",
    )
    load_info = pipeline.run(cloud_billing_budget_api_source())
    print(load_info)


if __name__ == "__main__":
    load_cloud_billing_budget_api_to_duckdb()

Run it with python cloud_billing_budget_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 Cloud Billing Budget 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("cloud_billing_budget_api_pipeline").dataset()
df = data.budgets.df()
print(df.head())

SQL:

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SELECT * FROM cloud_billing_budget_api_data.budgets LIMIT 10;

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

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How do I deploy the Cloud Billing Budget 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 Cloud Billing Budget 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 Cloud Billing Budget 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