DatriseAI-first ETL

Facebook Ads MongoDB

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

How Datrise loads Facebook Ads into MongoDB

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics 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

Facebook Ads: Meta paid social campaigns and performance insights.

MongoDB: Document database for flexible schemas.

How Facebook Ads entities map to MongoDB

Facebook Ads entityMongoDB objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → native nested documents
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook 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 Facebook 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

Early access

Connect Facebook Ads to MongoDB the easy way

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