Manual CSV exports are the silent killer of productivity. If you're managing marketing data for Meta, Google Ads, or TikTok, you've likely seen the high prices of "middleware" connectors.
Today, Iβm sharing how to build your own "pipe" directly into Power BI using Power Query (M).
The Challenge
Most marketing APIs use OAuth2. The biggest hurdle isn't getting the data; it's handling the token refresh without the dashboard breaking every 60 minutes.
The Solution (The "M" Script)
Here is a simplified version of the logic I use to fetch data from a REST API:
let
url = "https://api.example.com/v1/reports",
header = [Headers=[#"Authorization"="Bearer " & YourAccessToken]],
response = Json.Document(Web.Contents(url, header)),
data = response[data]
in
data
Key Lessons Learned:
Pagination is Critical: Most APIs only give you 100 rows at a time. You need a recursive function in M to "loop" until all data is fetched.
JSON Flattening: Marketing APIs return deeply nested data. Use the Table.ExpandRecordColumn function to flatten your results into a usable format for DAX.
Privacy Levels: Set your privacy levels to "Organizational" in Power BI Desktop to avoid the "Formula.Firewall" error when combining API data with local files.
Iβve been specializing in these custom "no-middleware" setups to help agencies scale their reporting without the overhead.
Check out my portfolio of automated dashboards at [https://visualizexpert.com/]
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