1.Starts sub-zap and maps inputs
Integrate Sub-Zap by Zapier and Zapier sub-zap inputs to capture account identifiers and pull dates for extraction runs.
Load ad campaign and group rows into staging table
Automatically start Sub-Zap processing across Zapier sub-zaps and LinkedIn Ads data. Create and update staging rows when account list arrives, pull date is set, or campaign group metadata is returnedβso you can loop accounts, normalize mappings, and load BigQuery staging without manual data prep.
How this automation accelerates your staging table loads
When the sub-zap starts with an incoming account list and pull date, campaign history can fall out of sync. This automation loops accounts, fetches campaign and campaign group metadata, transforms mappings, and loads normalized rows into a BigQuery staging datasetβso your team can scale extraction without manual staging work.
Sub-Zap by Zapieror swap with your favorite app
2.Loops through account identifiers
Integrate Looping by Zapier and workflow variables to iterate each account identifier for subsequent API requests.
Looping by Zapieror swap with your favorite app
3.Fetches campaigns and group metadata
Integrate LinkedIn Ads and API request handling to fetch campaign and campaign group metadata per account.
LinkedIn Adsor swap with your favorite app
4.Transforms mappings into normalized rows
Integrate Code by Zapier and data transformation tools to align campaign group IDs with group names and add pull timestamps.
Code by Zapieror swap with your favorite app
5.Creates rows in staging dataset
Integrate Google BigQuery and analytics storage to write normalized campaign rows into your staging dataset.
Google BigQueryor swap with your favorite app
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