Public API to MongoDB Integration
AI-first ETL from Public API into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into MongoDB
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Public API: Generic REST endpoint pulled on a schedule.
MongoDB: Document database for flexible schemas.
How Public API entities map to MongoDB
| Public API entity | MongoDB object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → native nested documents |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API's custom fields in MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Public API to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Public API
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