DatriseAI-first ETL

Apple Search Ads to MongoDB Integration

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

How Datrise loads Apple Search Ads into MongoDB

Datrise syncs Apple Search Ads's campaigns, ad groups, keywords, spend, installs, 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

Apple Search Ads: Paid search placements in the App Store.

MongoDB: Document database for flexible schemas.

How Apple Search Ads entities map to MongoDB

Apple Search Ads entityMongoDB objectNotes
campaignsapple_search_ads_campaignsid PK · custom fields → native nested documents
ad groupsapple_search_ads_ad_groupsid PK · linked to apple_search_ads_campaigns
keywordsapple_search_ads_keywordsid PK · linked to apple_search_ads_campaigns
spendapple_search_ads_spendid PK · linked to apple_search_ads_campaigns

FAQ

How does Datrise handle Apple Search 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 Apple Search 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 Apple Search Ads to MongoDB the easy way

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