LinkedIn Ads → DuckDB
AI-first ETL from LinkedIn Ads into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into DuckDB
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
DuckDB: In-process analytics database for fast local OLAP.
How LinkedIn Ads entities map to DuckDB
| LinkedIn Ads entity | DuckDB object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → JSON or STRUCT columns |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn Ads's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the LinkedIn Ads to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for LinkedIn Ads
- LinkedIn Ads → Amazon Athena
- LinkedIn Ads → Amazon S3 Data Lake
- LinkedIn Ads → Azure Data Lake Storage
- LinkedIn Ads → Azure Synapse
- LinkedIn Ads → Spreadsheets
- LinkedIn Ads → Airtable
- LinkedIn Ads → CSV Files
- LinkedIn Ads → MongoDB
- LinkedIn Ads → Supabase
- LinkedIn Ads → Neon
- LinkedIn Ads → PlanetScale
- LinkedIn Ads → Amazon DynamoDB
Early access
Connect LinkedIn Ads to DuckDB the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.