DatriseAI-first ETL

Housecall Pro to MongoDB Integration

AI-first ETL from Housecall Pro into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Housecall Pro into MongoDB

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules 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

Housecall Pro: Home service scheduling, dispatch, and invoicing.

MongoDB: Document database for flexible schemas.

How Housecall Pro entities map to MongoDB

Housecall Pro entityMongoDB objectNotes
jobshousecall_pro_jobsid PK · custom fields → native nested documents
customershousecall_pro_customersid PK · linked to housecall_pro_jobs
estimateshousecall_pro_estimatesid PK · linked to housecall_pro_jobs
invoiceshousecall_pro_invoicesid PK · linked to housecall_pro_jobs

FAQ

How does Datrise handle Housecall Pro'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 Housecall Pro 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

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