create-rest-api-pipeline

To create a dlt pipeline for REST API data ingestion, run a `dlt init` command with your source and destination. This scaffolds a Python script and configures the necessary files to fetch data from a specific API endpoint.

The best way to scaffold a Python data pipeline for a generic HTTP API is using a `dlt init` command. This generates the required scripts and references to guide you through endpoint research and secret configuration.

No, you cannot use this approach to ingest data from SQL databases or filesystems. This pipeline scaffolding specifically supports core REST API sources and generic HTTP APIs, excluding SQL or filesystem sources.

Yes, you need to configure secrets manually. The scaffolding process generates the Python script and provides the necessary steps to research API details and securely set up your credentials for the REST API source.

The `dlt init` command simplifies initial pipeline creation by focusing on a single API endpoint. It generates a Python script targeting one specific REST API source rather than handling multiple endpoints simultaneously.