St. Petersburg FL 311
Public data
St. Petersburg requests with status, agency assignment, and response details. 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
- Track agency workloadGroup by agency to see which city department handles the most calls.
- Monitor request statusFilter by status to see open versus resolved requests.
- Map problem locationsUse coordinates and zip codes to find where requests cluster.
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 7 days. After that, each run keeps the last 7 days current, re-reading older days after one day. Days older than 7 days keep the values they had when last read.
- Service types: Re-read at most once a day. Service types that change are updated, and types the city removes stay in your table.
How it works
- Choose St. Petersburg FL 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 St. Petersburg FL 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 St. Petersburg FL 311?
- No. The data is public, so there is nothing to sign up for and nothing to paste in.
- Which warehouses can St. Petersburg FL 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 stpetersburg_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_requestsPublic requests from the selected creation-history period, defaulting to the last seven completed days. Completed days within the selected horizon become eligible for refresh after one day by default; later edits are captured when their creation day is read again. Increase lookback_days to include older creation days. Requests outside the horizon and records removed from the source retain their last synced values. Requests are not filtered by membership in the current service-type catalog. 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 40 days old waits 2 days). | beta | window | merge | service_request_id | lookback_days, staleness_days |
servicesPublic service types returned by the St. Petersburg SeeClickFix catalog. The catalog becomes eligible for refresh after one day and merges by service code; previously synced types remain if removed from the source. It does not filter the requests collection. | beta | staleness | merge | service_code | staleness_days |
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 St. Petersburg FL 311 data into your warehouse
Last updated .