lark-sheets

To read and write Lark spreadsheet data programmatically, you need a known spreadsheet token or URL to fetch cell ranges, append rows, and batch update values using sheet_id and range management with dry-run safety checks.

Yes, you can export a Feishu spreadsheet to CSV or XLSX format by triggering an asynchronous export job on a specified cell range and sheet_id, then downloading the resulting file locally for distribution.

The best way to append batch rows to a Lark spreadsheet is to use append mode with size validation, which safely adds new rows after existing data while providing dry-run safety checks to prevent accidental overwrites.

To find specific values within a Feishu spreadsheet, you can search within a known range using regex matching and case sensitivity options, and manage sheet filters by creating, updating, or deleting them.

You need a real document token to access a Lark spreadsheet. If you only have a wiki node token, it must first be resolved to a real document token before you can perform read, write, or export operations.

When writing large batches of data to Lark Sheets, limitations include size validation constraints on row batches and the need to handle authorization scopes, value serialization, and error conditions for robust automation.