Load One Map, Singapore data to DuckDB

OneMap is the authoritative national map service of Singapore providing various RESTful APIs for location data, search, and routing. Everything needed to build a working One Map, Singapore → 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 One Map, Singapore 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 One Map, Singapore 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 One Map, Singapore 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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One Map, Singapore API at a glance

These values come from the One Map, Singapore API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the One Map, Singapore API?

Requests must include the 'Authorization' header with the API access token as the value. The token is obtained by posting an email and password to the authentication service.

1. Get your credentials

1. Navigate to the OneMap API registration page (https://www.onemap.gov.sg/apidocs/register). 2. Fill in the required registration details, including a valid email address and a password that meets the security requirements (12-60 characters; must include at least 3 of: lowercase, uppercase, numeric, and special characters !#$%&*-@^_). 3. Confirm your registration via the email sent to your registered address. 4. Once registered, the OneMap API does not provide a static API key; instead, you must programmatically generate a temporary access token by sending a POST request to the /api/auth/post/getToken endpoint using your registered email and password in the request body. 5. This token is valid for 72 hours and must be passed in the Authorization header for subsequent API requests.

2. Add them to .dlt/secrets.toml

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[sources.one_map_singapore_source]
token = "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 One Map, Singapore data can I load into DuckDB?

These are the One Map, Singapore endpoints dlt can load into DuckDB:

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How do I load only new One Map, Singapore records?

The One Map, Singapore 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": "search", "endpoint": {
    "path": "api/common/elastic/search",
    # 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 One Map, Singapore pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /api/auth/post/getToken and /api/common/elastic/search from the One Map, Singapore API into DuckDB:

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

@dlt.source
def one_map_singapore_source(token=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://www.onemap.gov.sg",
            "auth": {"type": "api_key", "api_key": token, "name": "Authorization", "location": "header"},
        },
        "resources": [
            {"name": "search", "endpoint": {"path": "api/common/elastic/search", "data_selector": "results"}},
            {"name": "auth_token", "endpoint": {"path": "api/auth/post/getToken"}}
        ],
    }
    yield from rest_api_resources(config)


def load_one_map_singapore_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="one_map_singapore_pipeline",
        destination="duckdb",
        dataset_name="one_map_singapore_data",
    )
    load_info = pipeline.run(one_map_singapore_source())
    print(load_info)


if __name__ == "__main__":
    load_one_map_singapore_to_duckdb()

Run it with python one_map_singapore_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 One Map, Singapore 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("one_map_singapore_pipeline").dataset()
df = data.search.df()
print(df.head())

SQL:

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SELECT * FROM one_map_singapore_data.search LIMIT 10;

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

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How do I deploy the One Map, Singapore 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 One Map, Singapore 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 One Map, Singapore 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