Load API Bible data to DuckDB
Build a API Bible to DuckDB pipeline with your coding agent. One prompt scaffolds it with the dltHub AI harness, plus the API Bible API base URL, auth, endpoints, and incremental loading.
API.Bible is a developer-focused service providing access to a wide catalog of Bible translations through a REST API. Everything needed to build a working API Bible → 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.
Build your API Bible to DuckDB pipeline
Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.
PromptRunuvx dlthub-init@latestto build a pipeline from API Bible 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 API Bible 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.
API Bible API at a glance
| Base URL | https://rest.api.bible/v1 |
| Example endpoint | GET bibles |
| Records found at | data |
| Authentication | all requests require an 'api-key' header — sent in the api-key header |
| Pagination | Not paginated |
| API reference | https://docs.api.bible/quick-start/authentication/ |
These values come from the API Bible API reference — the authoritative source if anything here looks out of date.
How do I authenticate with the API Bible API?
Authentication requires passing the secret API key in a header named 'api-key'. The API documentation describes this mechanism as a variation of HTTP Basic Auth.
1. Get your credentials
- Register or sign in to your developer account at https://scripture.api.bible. 2. Navigate to the dashboard. 3. Locate the Apps section to create an app or select an existing one. 4. Your API key will be available within the application details or settings tab in your dashboard.
2. Add them to .dlt/secrets.toml
[sources.api_bible_source] api_key = "your_api_key_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.
What API Bible data can I load into DuckDB?
These are the API Bible endpoints dlt can load into DuckDB:
| Resource | Endpoint | Method | Data selector | Description |
|---|---|---|---|---|
| bibles | /bibles | GET | data | List all bibles available to the API key |
| bible | /bibles/{bibleId} | GET | data | Get metadata for a specific bible version |
| books | /bibles/{bibleId}/books | GET | data | List books for a given bible |
| chapters | /bibles/{bibleId}/books/{bookId}/chapters | GET | data | List chapters for a book |
| verses | /bibles/{bibleId}/chapters/{chapterId}/verses | GET | data | List verses for a chapter |
How do I load only new API Bible records?
The API Bible 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.
{"name": "bibles", "endpoint": { "path": "bibles", # 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.
What does the generated API Bible pipeline look like?
A standard dlt REST API pipeline — the same code you would write by hand, loading /bibles and /bibles/{bibleId}/passages/{passageId} from the API Bible API into DuckDB:
import dlt from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources @dlt.source def api_bible_source(api_key=dlt.secrets.value): config: RESTAPIConfig = { "client": { "base_url": "https://rest.api.bible/v1", "auth": {"type": "api_key", "api_key": api_key, "name": "api-key", "location": "header"}, }, "resources": [ {"name": "bibles", "endpoint": {"path": "bibles", "data_selector": "data"}}, {"name": "passages", "endpoint": {"path": "bibles/{bibleId}/passages/{passageId}", "data_selector": "data"}} ], } yield from rest_api_resources(config) def load_api_bible_to_duckdb() -> None: pipeline = dlt.pipeline( pipeline_name="api_bible_pipeline", destination="duckdb", dataset_name="api_bible_data", ) load_info = pipeline.run(api_bible_source()) print(load_info) if __name__ == "__main__": load_api_bible_to_duckdb()
Run it with python api_bible_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.
How do I query API Bible 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):
import dlt data = dlt.pipeline("api_bible_pipeline").dataset() df = data.bibles.df() print(df.head())
SQL:
SELECT * FROM api_bible_data.bibles LIMIT 10;
See querying your data with dataset and exploring it in marimo notebooks.
How do I deploy the API Bible 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 API Bible loads into governed, documented models.
- Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.
What other destinations can I load API Bible data to?
dlt loads into any of these — only the destination argument changes:
| Destination | Example value |
|---|---|
| PostgreSQL | "postgres" |
| BigQuery | "bigquery" |
| Snowflake | "snowflake" |
| Redshift | "redshift" |
| Databricks | "databricks" |
| Filesystem (S3, GCS, Azure) | "filesystem" |
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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