Wichita KS 311
Public data
Wichita 311 requests with service codes, coordinates, and submission times. Ingest delivers this data to a data warehouse you own as 2 tables, and updates it on the schedule you choose. There is no code to write and nothing to install.
What people use it for
- Categorize request typesCount by service code to see which problems are most frequently reported.
- Map demand locationsPlot coordinates to find which neighborhoods generate the most calls.
- Spot timing patternsMonitor dates to see when request volume tends to peak.
What you get
| Table | Each row is |
|---|---|
Service requestsservice_requests | One service request |
Service typesservices | One service type |
Good to know
- Service requests: The first run loads the last 90 days. After that, each run keeps the last 90 days current, re-reading older days after 7 days have passed. Days older than 90 days keep the values they had when last read.
- Service types: Each run replaces the full list of service types, so removed types disappear from your table.
How it works
- Choose Wichita KS 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
- What does the Wichita KS 311 data include?
- 2 tables: service requests (one row per service request) and service types (one row per service type).
- Do I need an account with Wichita KS 311?
- No. The data is public, so there is nothing to sign up for and nothing to paste in.
- Which warehouses can Wichita KS 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 row is stored once, by its key: when a run reads a row that is already there, it replaces that copy instead of adding a second one.
- 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 wichita_311, version 0.1.0, a REST source, status beta, authentication none.
Vendor documentation: https://seeclickfix.com/open311/v2/docs
Configuration
No configuration required.
Resources
| Resource | Status | Plan | Write | Primary key | Overrides |
|---|---|---|---|---|---|
service_requestsFetches request creation windows covering the previous 90 completed UTC days by default. The current UTC day becomes eligible after it ends. Completed windows still inside the selected horizon become eligible for refresh 7 day(s) after their last successful read, on a subsequent scheduled run. This is bounded history, not all history. Merge updates returned IDs; older requests outside the horizon and deleted or no-longer-exposed records retain their last loaded values, and later edits outside the horizon are not refreshed. Older completed days wait longer between reads, becoming eligible again only after the longer of the refresh interval and a twentieth of their age at their last read (with the default interval, a day read at 280 days old waits 14 days). | beta | window | merge | service_request_id | lookback_days, staleness_days |
servicesReads the current public service-type catalog exposed by this organization on each run. All returned service codes are kept in each replacement snapshot. Codes absent from a later successful snapshot disappear from the destination. The catalog is not used to filter request rows. | beta | full | replace | service_code | - |
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, Auburn WA 311, Aurora IL 311.
- How Ingest reads a REST source
- Ingest for government teams
- The tables Ingest creates
- Every source Ingest connects
Get Wichita KS 311 data into your warehouse
Last updated .