

Move your data from Linkedin Ads V2 with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



Linkedin Ads V2 connector details
Estuary’s LinkedIn Ads connector captures advertising data from the LinkedIn Marketing API into Flow collections. It supports campaign, creative, account, and analytics resources, enabling unified access to ad performance metrics. The connector uses OAuth2 or manual access token authentication, with incremental sync for up-to-date reporting.
- Captures campaigns, creatives, accounts, and analytics from LinkedIn Ads
- Supports both OAuth2 and manual access token authentication
- Incremental sync ensures efficient, near real-time data updates
- Ideal for marketing analytics and performance dashboards


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Linkedin Ads V2 in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Linkedin Ads V2 insights always reflect the latest data by connecting your databases to Linkedin Ads V2 with change data capture.
- Or connect critical SaaS apps to Linkedin Ads V2 with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
---|---|---|---|---|
Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
Speed | <100ms | 5min+ | Varies | <100ms |
Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
Scale |

Deliver real-time and batch data from DBs, SaaS, APIs, and more
Build Free Pipeline