Auburn WA 311
Public data
Auburn WA 311 data, published as Auburn WA 311 publishes it. Ingest delivers this data to a data warehouse you own as one table, and updates it on the schedule you choose. There is no code to write and nothing to install.
What you get
| Table | Each row is |
|---|---|
recordsrecords | All 'See, Click, Fix' citizen service requests submitted to the City of Auburn (WA). The publisher has not refreshed this dataset since 2025-03-25; each run re-fetches the full ~24.4k-row collection (~25 pages) ordered by requested_datetime + service_request_id, and replaces the destination table, so it always mirrors the published snapshot. |
How it works
- Choose Auburn WA 311. The data is public, so there is nothing to sign in to.
- Pick where it goes. BigQuery, Snowflake, Databricks, Redshift and 10 more, in an account you own.
- Pick a schedule. Daily is the default, and weekly and monthly are there too.
- Ingest runs it from then on. If a run fails, your dashboard shows which table and why.
Questions
- Do I need an account with Auburn WA 311?
- No. The data is public, so there is nothing to sign up for and nothing to paste in.
- Which warehouses can Auburn WA 311 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.
- How fresh is the data?
- As fresh as your schedule: daily by default, or weekly or monthly. Schedules as often as every 15 minutes are on the Enterprise plan.
- Will running it again create duplicate rows?
- No. Each run replaces the table, so it never holds two copies of the same row.
- 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.
For your data team: technical reference
Connector auburnwa_311, version 0.1.0, a REST source, status beta, authentication none.
Vendor documentation: https://data.auburnwa.gov/d/bduj-5afh
Configuration
No configuration required.
Resources
| Resource | Status | Plan | Write | Primary key | Overrides |
|---|---|---|---|---|---|
recordsAll 'See, Click, Fix' citizen service requests submitted to the City of Auburn (WA). The publisher has not refreshed this dataset since 2025-03-25; each run re-fetches the full ~24.4k-row collection (~25 pages) ordered by requested_datetime + service_request_id, and replaces the destination table, so it always mirrors the published snapshot.
| beta | full | replace | service_request_id | - |
Where this lands, and what else connects
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, Aurora IL 311, Austin TX 311.
- How Ingest reads a REST source
- Ingest for government teams
- The tables Ingest creates
- Every source Ingest connects
Get Auburn WA 311 data into your warehouse
Last updated .