DatriseAI-first ETL

Housecall Pro MongoDB

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 contacts, accounts, deals, activities, and lifecycle events 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: Field service CRM for scheduling, jobs, and customer history.

MongoDB: Document database for flexible schemas.

How Housecall Pro entities map to MongoDB

Housecall Pro entityMongoDB objectNotes
contactshousecall_pro_contactsid PK · custom fields → native nested documents
accountshousecall_pro_accountsid PK · linked to housecall_pro_contacts
dealshousecall_pro_dealsid PK · linked to housecall_pro_contacts
activitieshousecall_pro_activitiesBSON Date events

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

Early access

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