Paterson NJ 311
Public data
Service requests made to Paterson's 311 line, with when each was made and where. 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
- Spot shifts in demandTrack when requests arrive to see what causes spikes in calls.
- See where problems clusterPlot requests on a map using coordinates to find neighborhoods in need.
- Examine request typesTally requests by type to guide where to focus maintenance work.
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 30 days. After that, each run keeps the last 30 days current, re-reading older days periodically. Days more than 30 days old 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 Paterson NJ 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 Paterson NJ 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 Paterson NJ 311?
- No. The data is public, so there is nothing to sign up for and nothing to paste in.
- Which warehouses can Paterson NJ 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 paterson_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 public organization-scoped requests in creation-time windows covering the previous 30 completed UTC days by default; the current UTC day becomes eligible after it ends. The configurable history horizon is bounded, not all history. Each selected day uses 20-row page-number pagination. By default, completed windows still inside the horizon become eligible for refresh one day after their last successful read and are re-read on a subsequent scheduled run. Merge updates returned request IDs. Older requests outside the horizon retain their last loaded values and later edits are not refreshed; deleted or no-longer-exposed records remain in the destination. start_date/end_date select request creation time, not updates, so no update watermark is claimed. 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 |
servicesReads the current public service-type catalog exposed by Paterson SeeClickFix Open311. It becomes eligible for refresh one day after its last successful read, on a subsequent scheduled run. Merge updates returned service codes; removed or no-longer-exposed codes retain their last loaded values. The catalog is organization-scoped and is not used to filter request rows. | beta | staleness | merge | 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 Paterson NJ 311 data into your warehouse
Last updated .