Export Mopinion Dataset Field Schema Into a Excel workbook Data Dictionary

The Scenario

You inherited the Mopinion account from someone who left two months ago. Now you're building an ETL pipeline into the data warehouse, and you have no idea what fields actually exist across the six active survey forms.

You need a data dictionary: every dataset, every field, its type, its ID. Something you can hand to the data engineering team and say "this is the schema, build against this." The problem is that Mopinion doesn't have a one-click "export all schemas" option. You'd have to go into each of the six datasets, look up the field definitions manually, and transcribe them — or figure out the API yourself.

The bad version:

• Open each of the six datasets in Mopinion, navigate to the field configuration, and manually write down field names, IDs, and types — one at a time, across 30+ fields.
• Try to remember which dataset had the custom "product_area" field and which one called it "product_category" — a distinction that will matter a lot when you're building the pipeline.
• Build the dictionary in a workbook, realize you missed two fields in dataset 204, go back in, and redo that section.

You were supposed to have a schema draft to the engineering team by Thursday. It's Wednesday afternoon.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It connects to Mopinion and can retrieve field definitions across multiple datasets in a single pull — no manual transcription, no navigating dataset by dataset.

Export the schema from all my active Mopinion datasets into a data dictionary sheet so I can map Mopinion field names to my warehouse column names.

What You Get

• One row per field across all six datasets — dataset ID, field ID, field name, field type.
• If dataset 202 has 8 fields and dataset 205 has 12, all 20 rows land in the same flat table.
• The worksheet is ready to send to the engineering team as the schema reference.
• Any field name inconsistencies across datasets are visible side by side for the first time.

What If the Data Is Not Quite Ready

You need to separate fields by dataset into their own worksheets

The engineering team wants one worksheet per dataset, not a flat combined list.

Retrieve field definitions for Mopinion datasets 201, 202, 203, 204, 205, and 206. Write each dataset's fields into its own sheet named after the dataset ID, with columns for field ID, field name, and field type.

You need to flag which fields appear in multiple datasets

Before building the pipeline, you want to know which field names are shared and which are unique to one dataset.

Retrieve field definitions for Mopinion datasets 201–206, write all fields into the Schema sheet, then add an Appears In column showing all dataset IDs that contain each unique field name.

You only have partial dataset IDs and need to look up the rest

You know four of the six IDs, but the other two are somewhere in the Mopinion dashboard you can't find.

List all active Mopinion datasets and write their dataset IDs and names to this sheet so I can identify which datasets I need.

Pull schemas and build a warehouse column-mapping template in one step

The engineering team needs schema plus a mapping column they can fill in with warehouse column names.

Retrieve field definitions for datasets 201–206, write each field as a row with dataset ID, field ID, field name, and field type, then add an empty Warehouse Column column next to each row for the team to fill in.

When you're handing off schema documentation, pulling the raw definitions and formatting the template in a single prompt saves the back-and-forth of getting clean data first and then adding structure.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you're building data pipeline documentation. Pull your full Mopinion schema in one shot, then see the deployment configuration audit spoke or return to the Mopinion integration overview.