DatriseAI-first ETL

Source connector

Public API connector

Public API integration for databases, warehouses and BI tools

Generic REST endpoint pulled on a schedule. Datrise captures Public API entities such as records, response payloads, pagination cursors, request parameters, schemas and fetch timestamps, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 6 sync as upserts keyed on the primary key and 0 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `public_api_records`) with a schema derived from the Public API API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the Public API pipeline page, and join the waitlist to get the Public API connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Public API data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
recordspublic_api_recordsUpsert by primary key, incremental on updated-at
response payloadspublic_api_response_payloadsUpsert by primary key, incremental on updated-at
pagination cursorspublic_api_pagination_cursorsUpsert by primary key, incremental on updated-at
request parameterspublic_api_request_parametersUpsert by primary key, incremental on updated-at
schemaspublic_api_schemasUpsert by primary key, incremental on updated-at
fetch timestampspublic_api_fetch_timestampsUpsert by primary key, incremental on updated-at

Popular destinations for Public API

Choose a destination below to open the ready pipeline page.

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    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
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    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
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    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
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    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
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    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
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    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
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    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
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    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Public API connector FAQ

What Public API data does the connector extract?
6 objects: records, response payloads, pagination cursors, request parameters, schemas and fetch timestamps. Each lands in its own table with types preserved; history-style objects (0) load as append-only streams.
Is the Public API integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load Public API data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Public API → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your Public API pipeline with guided onboarding

Join the waitlist to get priority access for Public API integrations with guided setup, schema-aware mapping, and production-grade incremental sync.