Meta Ads → MongoDB
AI-first ETL from Meta Ads into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into MongoDB
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
MongoDB: Document database for flexible schemas.
How Meta Ads entities map to MongoDB
| Meta Ads entity | MongoDB object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → native nested documents |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta Ads'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 Meta Ads 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 Meta Ads
Early access
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