The Scenario
You're three weeks into a contract to build an API integration on top of a client's Bubble app. The previous developer is gone, the documentation is nonexistent, and the only way you know what fields exist in the Tasks data type is to click through individual records in the Bubble editor — one at a time, hoping the next one doesn't have a custom field the last one didn't show.
You need a complete field inventory: every field name, data type, and required flag, in a format you can share with the client and reference while writing the integration.
The bad version:
- Open the Bubble editor's Data tab, click into the Tasks type, and manually copy each field's name and type into an Excel workbook — field by field, scrolling through the list, occasionally missing one because the editor's UI truncates long names.
- Export what Bubble calls a "schema backup" — a JSON blob — open it in a text editor, manually parse out the field definitions you need, and transcribe them into Excel.
- Ask the client to export it themselves, wait two days for a response, and discover they don't know how to access the Data tab either.
Your integration spec is due to the client by Friday. You don't have two days to spend reverse-engineering a schema you should be able to read in five minutes.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It connects to Project Bubble's API directly and can retrieve the full field schema for any data type — names, types, required flags — and write it into your workbook in a clean table you can share or build on.
Get the field definitions for the Bubble 'Invoices' data type and write a metadata table in this Excel sheet showing field name, type, and required flag for every field
What You Get
- Column A: field name for every field in the Tasks data type, including any custom fields.
- Column B: the data type (text, number, date, boolean, list of another type, etc.).
- Column C: "Yes" or "No" for the required flag.
- A header row in row 1 so the table is immediately shareable.
- One row per field — no truncation, no omissions.
What If the Data Is Not Quite Ready
You need schema documentation for multiple data types in one workbook — one worksheet per type
Fetch the field schema for my Bubble 'Tasks' data type and write name, type, and required flag into Sheet1 starting at A1. Then fetch the same schema for 'Projects' and write it into Sheet2 starting at A1
The field names in Bubble use internal slugs that don't match how the client refers to them
Get the field schema for the Bubble 'Invoices' data type and write field name, type, and required flag into columns A through C — then in column D add a 'Notes' header with blank cells so I can annotate each field with the client's display label
You want to compare the schema across two environments — staging and production
Fetch the field schema for the Bubble 'TeamMembers' data type from the staging API and write name and type into columns A and B. Then fetch the same schema from the production API and write the production type into column C so I can diff them side by side
Full schema audit plus integration readiness check in one shot
Get the field definitions for the Bubble 'Invoices' data type and write a metadata table in this Excel sheet showing field name, type, and required flag for every field — then in column D flag any field where the type is 'list' because those will need special handling in the integration
Run the schema pull and the integration annotation in a single prompt. SheetXAI handles both steps inline.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook where you're documenting your Bubble integration, then ask it to pull the full schema for whichever data type you're currently mapping. Related reading: Bulk Export All Records From a Bubble Data Type Into an Excel workbook and the full Project Bubble overview.