Docs / Data sources / eCFR

eCFR

Government

Built when you ask for it

Sync the Electronic Code of Federal Regulations and its revisions. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The eCFR connector syncs the Electronic Code of Federal Regulations into analytics-ready tables in your data warehouse. Pull titles, chapters, parts, section text, and the daily revision record from the eCFR API, with Ingest handling pagination and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Titles and chapters
  • Part and section text
  • Revision history
  • Agency mappings

How it gets built

  1. Choose eCFR when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads eCFR's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against eCFR itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

None. The eCFR API is public and needs no credential.

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a eCFR connector?
Not as a finished connector yet. Ingest builds it from eCFR's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can eCFR data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

eCFR API documentation: https://www.ecfr.gov/developers/documentation/api/v1

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for government teams: Abilene TX 311, Albany NY 311, Ann Arbor MI 311, Anne Arundel County MD 311, Auburn WA 311, Aurora IL 311.

Request eCFR