This tutorial shows how to extract data from PDF files using Google AI in Advanced ETL Processor. Use it when a workflow needs to send PDF content to an AI endpoint through the HTTP Action and process the response without turning the job into a copy-and-paste festival.
What You Will Learn
- Call a Google AI endpoint from a package workflow.
- Send request parameters, headers, authentication, and body content.
- Inspect raw responses while testing the PDF extraction workflow.
- Store response values in variables for later package steps.
Before You Start
Use a test repository or safe sample data while following the tutorial. Production jobs are a poor place to experiment.
HTTP Action Docs For Google AI Requests
This tutorial uses the HTTP Action to call an AI service from an Advanced ETL Processor package. In practice, the important parts are the request URL, method, headers, authentication, body, and response handling. APIs are very literal. They do not appreciate creative interpretation. I have tried.
The HTTP Action documentation covers action parameters, the request tab, URL parameters, request body options, headers, and authentication.
For testing and troubleshooting, use the docs on variables, execution logs, debugging HTTP requests, response headers, and raw responses.
Need Advanced ETL Processor First?
Download the Advanced ETL Processor trial before following the tutorial, or review Enterprise if you need scheduled unattended execution.